This study used transcranial magnetic stimulation (TMS) to examine how abstract and concrete phrases differentially modulate activity in the primary motor cortex. Participants performed a sentence sensibility task while single TMS pulses were delivered to the left motor cortex at different time points. Motor evoked potentials (MEPs) and response times were measured. Results showed greater MEP amplitudes for abstract versus concrete verbs, indicating prolonged motor cortex activation for abstract verbs. Response times were faster for compatible (abstract-abstract, concrete-concrete) versus mixed phrases, and faster when the pulse targeted concrete verbs versus abstract verbs. The findings provide support for embodied theories of language by demonstrating differential motor cortex involvement in processing abstract and concrete phrases.
Abstract And Concrete Phrases Processing Differentially Modulates Cortico-Spi...Sarah Marie
This document summarizes a study that investigated how processing abstract and concrete phrases differentially modulates corticospinal excitability in the primary motor cortex. The study used transcranial magnetic stimulation to measure motor evoked potentials while participants performed a sentence sensibility task with verb-noun phrases containing either abstract or concrete verbs and nouns. The results showed greater motor cortex activation when processing phrases with abstract verbs compared to concrete verbs. Response times also indicated faster processing of phrases with compatible abstract-abstract or concrete-concrete combinations compared to mixed combinations. The findings provide support for embodied theories of cognition that propose concrete and abstract concepts are represented differently, with abstract concepts relying more on linguistic experience.
This document provides an overview of the course Psycholinguistics. It will examine the psychological processes involved in language, including how language is acquired and how it interacts with other cognitive systems. Some key topics that will be discussed include models of language processing, the modularity of the language system, the role of innate linguistic knowledge versus environmental learning, and controversies in the field regarding rules, neural localization of language, and applied implications. Experimental methods like priming and brain imaging techniques will be important for exploring these open questions in psycholinguistics.
A REVIEW OF TEMPORAL ASPECTS OF HAND GESTURE ANALYSIS APPLIED TO DISCOURSE AN...ijcsit
This document summarizes a literature review on temporal aspects of hand gesture analysis. It focuses on applications related to natural conversation and psycholinguistic analysis. The review organizes works according to their type of analysis, methods used, and applications. It highlights the use of machine learning techniques. The review aims to comprehensively analyze temporal aspects of gesture analysis and how it can be applied across different domains, including areas not extensively explored such as analysis of natural conversation and gestures.
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSsipij
In this paper, we present a set of spatial relations between concepts describing an ontological model for a
new process of character recognition. Our main idea is based on the construction of the domain ontology
modelling the Latin script. This ontology is composed by a set of concepts and a set of relations. The
concepts represent the graphemes extracted by segmenting the manipulated document and the relations are
of two types, is-a relations and spatial relations. In this paper we are interested by description of second
type of relations and their implementation by java code.
This document summarizes a study that investigated the effect of dynamic visual noise on younger and older adults' visual working memory as measured by a Visual Patterns Test. The study found that older adults performed worse than younger adults on the test, supporting previous research showing working memory capacity declines with age. The dynamic visual noise did not significantly impact performance, though it may have had a greater effect on younger adults who tended to use a visual strategy while older adults used less sensitive spatial or verbal strategies. The document provides background on models of working memory and discusses research on visual and visuo-spatial memory.
This document provides an overview of ontology learning from unstructured text. It discusses how ontology became important for facilitating text understanding and automatic processing. It also describes different types of ontologies used in computer science, including upper ontologies describing very generic concepts, and domain ontologies describing specific subject domains. The document outlines various methods for learning ontologies from text and clarifies different understandings and uses of the term "ontology" in philosophy and computer science.
ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITYIJwest
In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the
set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between
ontologies by using average values of each set and by using feature-based similarity measure too.
ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITYdannyijwest
In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between ontologies by using average values of each set and by using feature-based similarity measure too.
Abstract And Concrete Phrases Processing Differentially Modulates Cortico-Spi...Sarah Marie
This document summarizes a study that investigated how processing abstract and concrete phrases differentially modulates corticospinal excitability in the primary motor cortex. The study used transcranial magnetic stimulation to measure motor evoked potentials while participants performed a sentence sensibility task with verb-noun phrases containing either abstract or concrete verbs and nouns. The results showed greater motor cortex activation when processing phrases with abstract verbs compared to concrete verbs. Response times also indicated faster processing of phrases with compatible abstract-abstract or concrete-concrete combinations compared to mixed combinations. The findings provide support for embodied theories of cognition that propose concrete and abstract concepts are represented differently, with abstract concepts relying more on linguistic experience.
This document provides an overview of the course Psycholinguistics. It will examine the psychological processes involved in language, including how language is acquired and how it interacts with other cognitive systems. Some key topics that will be discussed include models of language processing, the modularity of the language system, the role of innate linguistic knowledge versus environmental learning, and controversies in the field regarding rules, neural localization of language, and applied implications. Experimental methods like priming and brain imaging techniques will be important for exploring these open questions in psycholinguistics.
A REVIEW OF TEMPORAL ASPECTS OF HAND GESTURE ANALYSIS APPLIED TO DISCOURSE AN...ijcsit
This document summarizes a literature review on temporal aspects of hand gesture analysis. It focuses on applications related to natural conversation and psycholinguistic analysis. The review organizes works according to their type of analysis, methods used, and applications. It highlights the use of machine learning techniques. The review aims to comprehensively analyze temporal aspects of gesture analysis and how it can be applied across different domains, including areas not extensively explored such as analysis of natural conversation and gestures.
ONTOLOGICAL MODEL FOR CHARACTER RECOGNITION BASED ON SPATIAL RELATIONSsipij
In this paper, we present a set of spatial relations between concepts describing an ontological model for a
new process of character recognition. Our main idea is based on the construction of the domain ontology
modelling the Latin script. This ontology is composed by a set of concepts and a set of relations. The
concepts represent the graphemes extracted by segmenting the manipulated document and the relations are
of two types, is-a relations and spatial relations. In this paper we are interested by description of second
type of relations and their implementation by java code.
This document summarizes a study that investigated the effect of dynamic visual noise on younger and older adults' visual working memory as measured by a Visual Patterns Test. The study found that older adults performed worse than younger adults on the test, supporting previous research showing working memory capacity declines with age. The dynamic visual noise did not significantly impact performance, though it may have had a greater effect on younger adults who tended to use a visual strategy while older adults used less sensitive spatial or verbal strategies. The document provides background on models of working memory and discusses research on visual and visuo-spatial memory.
This document provides an overview of ontology learning from unstructured text. It discusses how ontology became important for facilitating text understanding and automatic processing. It also describes different types of ontologies used in computer science, including upper ontologies describing very generic concepts, and domain ontologies describing specific subject domains. The document outlines various methods for learning ontologies from text and clarifies different understandings and uses of the term "ontology" in philosophy and computer science.
ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITYIJwest
In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the
set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between
ontologies by using average values of each set and by using feature-based similarity measure too.
ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITYdannyijwest
In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between ontologies by using average values of each set and by using feature-based similarity measure too.
Why sales professionals love to help customers | Professional CapitalProfessional Capital
This document describes two studies that examine how genetic polymorphisms of the oxytocin receptor gene (OXTR) relate to social motivation and brain connectivity in sales professionals. Study 1 found that sales professionals carrying the OXTR GG allele were more motivated to help customers than impose goods/services, compared to those with the AA/AG allele. Study 2 used fMRI to find that sales professionals with the GG allele showed greater connectivity between social brain regions, especially the amygdala and prefrontal cortex, when viewing faces with different emotions. The results suggest carriers of the GG allele are more sensitive to social cues and motivated to engage with others.
This document provides an overview of computational social neuroscience and the use of dynamical models to study social behavior. It discusses how dynamical models have been expanded over time to capture increasingly complex social phenomena by incorporating elements like broken symmetry, discreteness, adaptation, directedness, and multi-agent interactions. Models have been used to study behavioral coordination and related neural oscillations. The goal is to develop a "nesting doll" modeling strategy to describe social behavior across multiple scales from molecules to culture.
This document provides a comparison of English and Vietnamese metaphors for expressing happiness. It finds several conceptual metaphors that are shared between the two languages, including "Happiness is up", where happiness is associated with vertical elevation, and "Happiness is light", where happiness is equated with brightness. The document also examines explanations for both similarities and differences in emotional metaphors between cultures, noting the influence of personal, social, and historical experiences.
The Semantic Processing of Syntactic Structure in Sentence ComprehensionZheng Ye
1) The study used ERPs to examine brain responses to verbs violating either lexical-semantic constraints or constraints specified by a syntactic construction in Chinese sentences.
2) Lexical-semantic violations elicited a widespread N400 effect, while construction violations produced a more posterior N400 effect.
3) The findings provide online evidence that sentence comprehension is influenced not only by lexical semantics but also by the abstract meanings of syntactic constructions, supporting construction grammar theories.
Dual coding theory proposes that there are two separate channels for processing information - a verbal system that handles language and a nonverbal system specialized for visual and spatial processing. Information can be coded verbally as words or nonverbally as mental images. These coding systems operate independently but are interconnected, allowing information to be represented and retrieved through both verbal and nonverbal codes. Dual coding theory suggests that combining words and images leads to better memory than relying on just one code alone.
Ontology Matching Based on hypernym, hyponym, holonym, and meronym Sets in Wo...dannyijwest
Considerable research in the field of ontology matching has been performed where information sharing
and reuse becomes necessary in ontology development. Measurement of lexical similarity in ontology
matching is performed using synset, defined in WordNet. In this paper, we defined a Super Word Set,
which is an aggregate set that includes hypernym, hyponym, holonym, and meronym sets in WordNet.
The Super Word Set Similarity is calculated by the rate of words of concept name and synset’s words
inclusion in the Super Word Set. In order to measure of Super Word Set Similarity, we first extracted
Matched Concepts(MC), Matched Properties(MP) and Property Unmatched Concepts(PUC) from the
result of ontology matching. We compared these against two ontology matching tools – COMA++ and
LOM. The Super Word Set Similarity shows an average improvement of 12% over COMA++ and 19%
over LOM.
Comparing Working Memory And The Episodic BufferLakeisha Jones
The document discusses working memory and compares it to the multi-store model of memory. It explains that working memory consists of multiple subsystems that process different types of information, unlike the multi-store model which views short-term memory as a single unitary store. The episodic buffer is introduced as an additional storage system in working memory that can integrate information from other sources like long-term memory. Research provides support for the working memory model over the multi-store model in explaining memory tasks and processes in a more detailed way.
In recent years, great advances have been made in the speed, accuracy, and coverage of automatic word
sense disambiguator systems that, given a word appearing in a certain context, can identify the sense of
that word. In this paper we consider the problem of deciding whether same words contained in different
documents are related to the same meaning or are homonyms. Our goal is to improve the estimate of the
similarity of documents in which some words may be used with different meanings. We present three new
strategies for solving this problem, which are used to filter out homonyms from the similarity computation.
Two of them are intrinsically non-semantic, whereas the other one has a semantic flavor and can also be
applied to word sense disambiguation. The three strategies have been embedded in an article document
recommendation system that one of the most important Italian ad-serving companies offers to its customers
1) The study assessed the relationship between collocations and mental lexicons using a word association test with 20 vocabularies given to 100 students.
2) The findings showed that people's lexical storage systems have common features and sense relations can stimulate memories from long-term memory.
3) There was no significant difference between responses to objective and subjective stimuli, and lexical storage depends strongly on sense relations.
1) The study assessed the relationship between collocations and mental lexicons using a word association test with 20 vocabularies given to 100 students.
2) The findings showed that people's lexical storage systems have common features and sense relations can stimulate memories from long-term memory.
3) There was no significant difference between responses to objective and subjective stimuli, and lexical storage depends strongly on sense relations.
1) The study examined the cognitive processes involved in metaphor interpretation, specifically looking at the roles of short-term memory, working memory, and divided attention.
2) 40 university students were given a metaphor interpretation test consisting of 20 metaphors and were assessed on short-term memory span, working memory, and divided attention tasks.
3) The results showed that short-term memory span, as measured by a sentence repetition test, was most closely associated with providing fully abstract interpretations of metaphors. Lower short-term memory was linked to more concrete or incomplete responses. Performance on working memory and divided attention tasks did not correlate as strongly with metaphor interpretation abilities.
In recent years, great advances have been made in the speed, accuracy, and coverage of automatic word
sense disambiguator systems that, given a word appearing in a certain context, can identify the sense of
that word. In this paper we consider the problem of deciding whether same words contained in different
documents are related to the same meaning or are homonyms. Our goal is to improve the estimate of the
similarity of documents in which some words may be used with different meanings. We present three new
strategies for solving this problem, which are used to filter out homonyms from the similarity computation.
Two of them are intrinsically non-semantic, whereas the other one has a semantic flavor and can also be
applied to word sense disambiguation. The three strategies have been embedded in an article document
recommendation system that one of the most important Italian ad-serving companies offers to its customers.
This document discusses language as an embryonic morphogenetic field, similar to how cells in a biological field respond to signals to develop structures. It proposes language develops through stages in a flexible field of possibilities constrained by rules. A table is presented modeling the English language field with the alphabet distributed in cells representing ratios that encode differences, like the differences between phonemes that get incorporated into words. The document argues current models of language are limited and reductionist, and a new model is needed to better understand language and improve mutual understanding between people.
Functions of Gestural Semantics in Contemporary CommunicationSubramanian Mani
Gestural semantics refers to the study of the meaning conveyed through gestures, body movements, and non-verbal communication. It explores how gestures and bodily actions contribute to communication and how they convey meaning alongside spoken language.
Analogical reasoning involves drawing conclusions about one thing based on its similarities to another. It is used in science, law, politics, and everyday problem-solving. While deduction, induction, and abduction rely on general premises or conclusions, analogies focus on relating specific particularities. Theories of analogical reasoning propose that it involves aligning corresponding elements between a source and target domain based on their shared structural relationships. Metaphors are a form of analogical reasoning that involve projecting terms from one domain onto another to structure experience in a new way. Open questions around analogical reasoning include how embodied, emotional, and imaginary processes influence it, and whether competence develops in a domain-general or domain-specific manner.
This document discusses sentence comprehension and some of the key theories about how it works. It defines sentence comprehension as understanding the meaning derived from words based on linguistic structures and constraints. Some important factors in comprehension are grammatical roles, sentence structure, and identifying constituents. Sentence comprehension must deal with ambiguities. Theories discuss modular vs. interactive processing, serial vs. parallel construction of interpretations, and models like the Garden Path model and constraint-based models that integrate probabilistic information.
- The document discusses research on how concepts like emotions are mapped onto bodily space, with evidence suggesting positive concepts are associated with upper areas and negative concepts with lower areas (the valence-space metaphor).
- It presents two experiments conducted with participants from diverse linguistic backgrounds. Experiment 1 had participants rate words for different spatial directions. Experiment 2 had right-handed participants allocate emotion words to different areas of a grid, finding positive words tended towards upper areas and negative words lower areas.
- The results provide support for the valence-space metaphor while also indicating the vertical plane may be more salient than the horizontal plane in how valenced words are spatially allocated. They also found the neutral emotion of "surprise" was mapped to
This document discusses an integrated approach to ontology development methodology and provides a case study using a shopping mall domain. It begins by reviewing existing ontology development methodologies and identifying their pitfalls. An integrated methodology is then proposed which aims to reduce these pitfalls. The key steps in the proposed methodology are: 1) capturing motivating user scenarios or keywords, 2) generating formal/informal questions and answers from the scenarios, 3) extracting terms and constraints, and 4) building the ontology using a top-down approach. The methodology is applied to developing an ontology for a shopping mall domain to provide multilingual information to visitors.
Continuous bag of words cbow word2vec word embedding work .pdfdevangmittal4
Continuous bag of words (cbow) word2vec word embedding work is that it tends to predict the
probability of a word given a context. A context may be a single word or a group of words. But for
simplicity, I will take a single context word and try to predict a single target word.
The purpose of this question is to be able to create a word embedding for the given data set.
data set text:
In linguistics word embeddings were discussed in the research area of distributional semantics. It
aims to quantify and categorize semantic similarities between linguistic items based on their
distributional properties in large samples of language data. The underlying idea that "a word is
characterized by the company it keeps" was popularized by Firth.
The technique of representing words as vectors has roots in the 1960s with the development of
the vector space model for information retrieval. Reducing the number of dimensions using
singular value decomposition then led to the introduction of latent semantic analysis in the late
1980s.In 2000 Bengio et al. provided in a series of papers the "Neural probabilistic language
models" to reduce the high dimensionality of words representations in contexts by "learning a
distributed representation for words". (Bengio et al, 2003). Word embeddings come in two different
styles, one in which words are expressed as vectors of co-occurring words, and another in which
words are expressed as vectors of linguistic contexts in which the words occur; these different
styles are studied in (Lavelli et al, 2004). Roweis and Saul published in Science how to use
"locally linear embedding" (LLE) to discover representations of high dimensional data structures.
The area developed gradually and really took off after 2010, partly because important advances
had been made since then on the quality of vectors and the training speed of the model.
There are many branches and many research groups working on word embeddings. In 2013, a
team at Google led by Tomas Mikolov created word2vec, a word embedding toolkit which can train
vector space models faster than the previous approaches. Most new word embedding techniques
rely on a neural network architecture instead of more traditional n-gram models and unsupervised
learning.
Limitations
One of the main limitations of word embeddings (word vector space models in general) is that
possible meanings of a word are conflated into a single representation (a single vector in the
semantic space). Sense embeddings are a solution to this problem: individual meanings of words
are represented as distinct vectors in the space.
For biological sequences: BioVectors
Word embeddings for n-grams in biological sequences (e.g. DNA, RNA, and Proteins) for
bioinformatics applications have been proposed by Asgari and Mofrad. Named bio-vectors
(BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins
(amino-acid sequences) and gene-vectors (GeneVec) for gene sequences, this representa.
Developing an architecture for translation engine using ontologyAlexander Decker
This document proposes an architecture for machine translation that utilizes WordNet ontology and transition network grammars. It aims to improve translation accuracy by using WordNet as a syntactic guide during parsing and determining the grammatical structure of text. It then maps between the source and target languages. The architecture is described at a high level to provide a framework for future integration with other techniques to enhance machine translation.
How Can I Write About Myself. Write My Essay OrYolanda Ivey
The document provides instructions for writing an essay through the HelpWriting.net website in 5 steps:
1. Create an account with a password and email.
2. Complete an order form with instructions, sources, and deadline.
3. Review writer bids and choose one based on qualifications.
4. Review the paper and authorize payment if pleased.
5. Request revisions until fully satisfied with the original, high-quality content or receive a refund.
The document discusses how overuse of technology may be eroding humanity. It argues that while technology provides some advantages, it also has many negative effects on society. Excessive technology usage is associated with people losing basic abilities and an increase in health issues. To improve social and medical conditions, the document suggests decreasing technology usage and using it more safely. Reducing technology could help ensure the continued existence of mankind by countering these negative effects.
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In recent years, great advances have been made in the speed, accuracy, and coverage of automatic word
sense disambiguator systems that, given a word appearing in a certain context, can identify the sense of
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documents are related to the same meaning or are homonyms. Our goal is to improve the estimate of the
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strategies for solving this problem, which are used to filter out homonyms from the similarity computation.
Two of them are intrinsically non-semantic, whereas the other one has a semantic flavor and can also be
applied to word sense disambiguation. The three strategies have been embedded in an article document
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2) The findings showed that people's lexical storage systems have common features and sense relations can stimulate memories from long-term memory.
3) There was no significant difference between responses to objective and subjective stimuli, and lexical storage depends strongly on sense relations.
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documents are related to the same meaning or are homonyms. Our goal is to improve the estimate of the
similarity of documents in which some words may be used with different meanings. We present three new
strategies for solving this problem, which are used to filter out homonyms from the similarity computation.
Two of them are intrinsically non-semantic, whereas the other one has a semantic flavor and can also be
applied to word sense disambiguation. The three strategies have been embedded in an article document
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Continuous bag of words (cbow) word2vec word embedding work is that it tends to predict the
probability of a word given a context. A context may be a single word or a group of words. But for
simplicity, I will take a single context word and try to predict a single target word.
The purpose of this question is to be able to create a word embedding for the given data set.
data set text:
In linguistics word embeddings were discussed in the research area of distributional semantics. It
aims to quantify and categorize semantic similarities between linguistic items based on their
distributional properties in large samples of language data. The underlying idea that "a word is
characterized by the company it keeps" was popularized by Firth.
The technique of representing words as vectors has roots in the 1960s with the development of
the vector space model for information retrieval. Reducing the number of dimensions using
singular value decomposition then led to the introduction of latent semantic analysis in the late
1980s.In 2000 Bengio et al. provided in a series of papers the "Neural probabilistic language
models" to reduce the high dimensionality of words representations in contexts by "learning a
distributed representation for words". (Bengio et al, 2003). Word embeddings come in two different
styles, one in which words are expressed as vectors of co-occurring words, and another in which
words are expressed as vectors of linguistic contexts in which the words occur; these different
styles are studied in (Lavelli et al, 2004). Roweis and Saul published in Science how to use
"locally linear embedding" (LLE) to discover representations of high dimensional data structures.
The area developed gradually and really took off after 2010, partly because important advances
had been made since then on the quality of vectors and the training speed of the model.
There are many branches and many research groups working on word embeddings. In 2013, a
team at Google led by Tomas Mikolov created word2vec, a word embedding toolkit which can train
vector space models faster than the previous approaches. Most new word embedding techniques
rely on a neural network architecture instead of more traditional n-gram models and unsupervised
learning.
Limitations
One of the main limitations of word embeddings (word vector space models in general) is that
possible meanings of a word are conflated into a single representation (a single vector in the
semantic space). Sense embeddings are a solution to this problem: individual meanings of words
are represented as distinct vectors in the space.
For biological sequences: BioVectors
Word embeddings for n-grams in biological sequences (e.g. DNA, RNA, and Proteins) for
bioinformatics applications have been proposed by Asgari and Mofrad. Named bio-vectors
(BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins
(amino-acid sequences) and gene-vectors (GeneVec) for gene sequences, this representa.
Developing an architecture for translation engine using ontologyAlexander Decker
This document proposes an architecture for machine translation that utilizes WordNet ontology and transition network grammars. It aims to improve translation accuracy by using WordNet as a syntactic guide during parsing and determining the grammatical structure of text. It then maps between the source and target languages. The architecture is described at a high level to provide a framework for future integration with other techniques to enhance machine translation.
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1. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 1
Abstract and Concrete Phrases Processing Differentially
Modulates Cortico-Spinal Excitability
Claudia Scorolli1
, Pierre Olivier Jacquet1
, Ferdinand Binkofski2
,
Roberto Nicoletti3
, Alessia Tessari1
, & Anna M. Borghi1, 4
1
Department of Psychology, University of Bologna, 2
Division for Cognitive Neurology, RWTH
Aachen, 3
Department of Communication Disciplines, University of Bologna,
4
Institute of Cognitive Sciences and Technologies, CNR, Rome
Corresponding author:
Claudia Scorolli
Department of Psychology, Viale Berti Pichat, 5, 40100, Bologna, Italy; Voice: +39-051-
2091838;
e-mail: claudia.scorolli2@unibo.it
Abstract: 250 words.
Article length: 33 pages, 8763 words, including references.
Figures: 4.
Running title: A TMS study on Abstract and Concrete Phrases
Keywords: embodied cognition, primary motor cortex, language grounding, abstract and
concrete phrases.
2. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 2
Abstract
An important challenge of embodied theories is to explain the comprehension of abstract sentences.
The aim of the present study was to scrutinize the role of the motor cortex in this process. We
developed a new paradigm to study the abstract-concrete dimension by combining concrete (i.e.
action-related) and abstract (i.e. non-action-related) verbs with nouns of graspable and non-graspable
objects. Using these verb-noun combinations we performed a Transcranial Magnetic Stimulation
(TMS) on the left primary motor cortex while participants performed a sentence sensibility task.
Single-TMS pulses were delivered 250 ms after verb or noun presentation in each of four
combinations of Abstract and Concrete verbs and nouns. To evaluate cortico-spinal excitability we
registered the electromyographic activity of the right first dorsal interosseous muscle. As to verb-noun
integration, analysis of motor evoked potentials (MEPs) after TMS pulse during noun presentation
revealed greater peak-to-peak amplitude in phrases containing Abstract rather than Concrete Verbs.
Response times were also collected and showed that compatible (Concrete-Concrete and Abstract-
Abstract) combinations were processed faster than mixed ones; moreover in combinations containing
concrete verbs, participants were faster when the pulse was delivered on the first word (verb) than on
the second one (noun). Results support previous findings showing early activation of hand-related
areas after concrete verbs processing. The prolonged or delayed activation of the same areas by
abstract verbs will be discussed in the framework of recent embodied theories based on multiple types
of representation, particularly theories emphasizing the role of different acquisition mechanisms for
concrete and abstract words (Borghi & Cimatti, 2009;2012).
3. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 3
1. INTRODUCTION
The ability to understand and use abstract words is an important part of the human
capacity to interact with the environment and with others. While many studies have been
devoted to this important topic, the issue of how abstract concepts and words are represented
is still unsolved (for a recent review, see Pecher et al., 2011). It is well known that abstract
words are remembered and recognized more slowly than concrete ones (Schwanenflugel,
1991). Their processing can engage mental imagery, but at a lower rate and with a greater
variability compared to concrete words (Paivio, et al., 1968; Paivio, 1991). It is also well
established that abstract words are acquired later than concrete and generally highly
imaginable words (Bird et al., 2001). Finally, the double dissociations found between the
understanding of abstract and concrete words (Shallice & Warrington, 1975; Warrington,
1975) further suggest that, even if the domain of ‘abstract concepts’ is not homogeneous,
there must be some common features that link its variegated members. In recent years many
neuroimaging and meta-analyses have investigated the differing neural correlates involved in
abstract and concrete concepts (for a recent quantitative meta-analysis see Wang et al., 2010;
see also Kiefer & Pulvermüller, 2012). In addition, several brain imaging studies have
recently investigated the difference between figurative and literal actions (e.g., Aziz-Zadeh et
al., 2006; Boulenger et al., 2009; Boulenger et al., 2012; Desai et al., 2011). For example,
Boulenger et al. (2009) have shown that semantic somatotopy of the motor system
characterizes not only literal but also sentences with a figurative meaning (e.g., “kick the ball”
vs. “kick the habit”). Other studies suggest an involvement of both the sensory-motor system
and the semantic one. For example, Desai, Binder, Conant, Mano and Seidenberg (2011)
found with fMRI some similarities between abstract and metaphoric sentences in the
4. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 4
activation of left superior temporal regions suggesting that abstract words as well as action
metaphor comprehension is based both on sensory-motor simulations and on lexical-semantic
codes.
On one hand the concern for the difference between abstract (and figurative) and concrete
concepts is due to a genuine interest in the specific topic, on the other hand this interest is
strongly related to the theoretical implications of this issue for embodied and grounded
theories of cognition (for a review on different kinds of embodied views, see Goldman & De
Vignemont, 2009). Embodied theories vary in their details, but most of them maintain that all
concepts and words activate a simulation mechanism that recruits the same action, perception
and emotional networks activated during actual experience with their referents (e.g. Barsalou,
1999; 2003; Glenberg & Robertson, 2000; Zwaan, 2004). Notice that different versions of the
notion of simulation have been proposed (for reviews, see Borghi, in press; Decety & Grezes,
2006). The term “simulation” as we intend it here involves two aspects: it implies the re-
enactment of past experiences (Barsalou, 1999) and it is predictive. It refers to a process that
is embodied, unconscious, not deliberate, and it is aimed at action preparation (Gallese, 2009).
In contrast with other views (e.g., Decety & Ingvar, 1990) simulating does not imply a
deliberate reactivation of previously performed actions, and it does not consist in a posteriori
forms of motor imagery. Empirical evidence on simulation is compelling with respect to
concrete concepts and words. For example, Pulvermüller et al. (2005) found a specific and
early (150 ms) facilitatory effect of TMS sub-threshold stimulation of the motor cortex on the
action words processing. In their study, participants were presented with single words
referring to leg (e.g., to kick) or hand-arm actions (e.g., to pick) and were asked to perform a
lexical decision task. Leg words recognition was faster when TMS targeted the leg area than
when TMS was delivered over upper limb representation; symmetrical results were obtained
5. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 5
for hand-arm verbs. The results showed that the activation of motor and premotor areas
modulates the processing of specific kinds of words, semantically related to the arm or the leg
(see also Scorolli & Borghi, 2007; Scorolli, Borghi, & Glenberg, 2009).
Nevertheless the challenge embodied theories have to face with is to clarify whether
abstract concepts and words are also represented via embodied simulations. Mental metaphors
could represent a potential solution, as they import the image-schemas derived from the
source domain of sensorimotor experience (Lakoff, 1987; Gibbs & Steen, 1999). Compelling
evidence has been collected in favor of this approach (e.g., Casasanto, 2009), but it is hard to
foresee how it can be generalized to all varieties of abstract words.
Recently, some scholars have addressed the issue by getting to the root of the problem:
embodied accounts of language have focused largely on language grounded in bodily
experiences but have neglected that language also plays a role in shaping our experience
(Borghi & Cimatti, 2009; 2012; Borghi & Pecher, 2011). In their proposal (Words as Tools,
WAT) Borghi and Cimatti (2009; 2012), similarly to other authors (Dove, 2009, 2010;
Louwerse & Jeauniaux, 2009; Barsalou et al., 2008; Kiefer & Barsalou, 2011; Simmons et al.,
2008), try to integrate linguistic and modal approaches. The unique quality of the WAT
proposal maintains that the linguistic system does not simply involve a form of superficial
processing and that words cannot be conceived of as mere signals of something. Words are
also tools that allow us to operate in the world (Clark, 2007; Gianelli et al., 2012; Mirolli &
Parisi, 2011; Tylèn et al., 2010). The WAT proposal has direct implications for the
explanation of abstract word meanings. Indeed, Borghi and Cimatti (2009; 2012) proposed
that, probably due to their different acquisition mechanisms, abstract word meanings rely
more than concrete word ones on the social experience of language. With concrete words,
such as “phone”, the word’s referent can be indicated and tagged using linguistic labels. With
6. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 6
abstract words, instead, there is not a specific referent to be indicated. In this case, the word
used by others, such as “freedom”, plays a major role, as it helps assemble a set of diverse
sensorimotor experiences (e.g., we put together different experiences of freedom once we
have learned the word “freedom”). In addition, since there is no referent to indicate, in the
case of abstract words the contribution of other members of the linguistic community
becomes crucial, as they can provide useful explanations of the word meaning. For example,
as argued by Prinz (2002), to learn the word “democracy” we may visualize a series of scenes,
but also rely on the opinion of authoritative members of our community. In support of this
proposal, Borghi et al. (2011) have shown that the acquisition modality of novel concrete and
abstract words (manipulation of their referents vs. simply visualization of scenes with
interacting objects) has an impact on their representation: in a verification task participants
responded faster to abstract words when using the microphone, and to concrete words when
using the keyboard. The results indicate that concrete words evoke more manual information,
whereas abstract words evoke more linguistic information; importantly, the advantage of the
microphone with abstract words was more pronounced when the meaning of the word was
linguistically explained, and it was not present when the linguistic information contrasted the
perceptual information. These results clearly show the similarities but also the differences
between embodied accounts (Barsalou et al., 2008; Borghi & Cimatti, 2009; 2012; Simmons
et al., 2008; for recent brain imaging evidence consistent with this view see Rodríguez-
Ferreiro, et al., 2010) and Paivio’s dual coding theory (e.g, Paivio, 1986; Binder et al., 2005;
Desai et al., 2010). Both accounts share the idea that multiple types of representation underlie
knowledge, but embodied proposals differ from Paivio’s view as they hypothesize that not
only concrete, but also abstract words are grounded in perception and action.
7. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 7
The aim of the present study is to test the WAT proposal (Borghi & Cimatti, 2009; 2010;
2012) through scrutinizing the possible modulation of the left primary motor cortex (M1)
activity during abstract and concrete phrase processing (for a study on positive and negative
abstract and concrete phrases see also Liuzza et al 2011). We used an innovative paradigm
recently developed by Scorolli et al. (2011), in which the same Concrete Verb (CV) was
combined with a Concrete Noun (CN) and with an Abstract Noun (AN), the same Abstract
Verb (AV) was combined with the nouns previously used. One of the advantages of this
design is the possibility to study abstractness along a continuum - that is, to study
combinations in which abstract and concrete verbs and nouns are put together. This paradigm
was adapted to the use of single-pulse transcranial magnetic stimulation (TMS) technique,
with the aim to explore the modulation of M1 activity during the processing of concrete (i.e.
action-related) and abstract (i.e. non-action-related) verbs, combined with nouns of graspable
and non-graspable objects.
Resting on the predictions of the WAT proposal, we hypothesized that the processing of
language is different within the motor cortex for concrete and abstract language content.
Specifically concrete phrases or words should be associated with sensori-motor and/or
somatic experience, and, as such, encoded within brain areas (e.g. M1) composing the human
motor system. Because of the sensori-motor and somatic nature of the encoding, concrete
phrases and words should be much better and deeper stored in the brain (see Desai et al.
2011). Therefore, concrete phrases and words should be more easily accessible than abstract
ones when areas of the primary motor cortex representing body parts (e.g. the hand) involved
in motor acts they refer to are stimulated.
8. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 8
On the basis of the assumption that the mode and age of acquisition of concrete and
abstract words differ, we expected to also find clues for different roots of processing.
Specifically, our predictions are:
I. Given that according to embodied theories both concrete and abstract words are
grounded in the motor system, we predict that concrete and abstract words differentially
recruit neurons of the hand areas in M1 (detectable on the modulation of motor evoked
potentials, MEPs, analyses).
II. If concrete words, and concrete verbs in particular, evoke motor information related to
the hand more directly than abstract words, we predict:
IIa. an earlier activation of hand representation areas in concrete verb processing over
abstract verb processing, detectable on MEPs collected after a pulse delivered on the first
word, and a later modulation due to abstract verb processing, detectable on MEPs collected
after a pulse delivered on the second word;
IIb. faster phrase processing when the pulse is delivered on concrete verbs than on
abstract verbs (detectable on response times, RTs, analyses).
III. Finally a. if linguistic information is more relevant for abstract words, and perception
and action information for concrete ones, we predict costs in mixed combinations (regardless
of the TMS pulse); b. due to different acquisition modality between concrete and abstract
words, within the mixed combinations we also predict an advantage when the concrete word
precedes the abstract one, consistently with Scorolli et al., 2011 (both the effects are
detectable on response times, RTs, analyses).
9. ACCEPTED ON “BRAIN RESEARCH”, October 2012
A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 9
These effects should be present only when the phrases are sensible, otherwise no
simulation should occur, or the simulation should be interrupted when the first word (verb)
has to be combined with the second one (the noun).
2. RESULTS
Our dependent variables were reaction times (RTs) and motor evoked potentials (MEPs).
It is worth noting that, due to the fact that we used phrases instead of single words and that for
each phrase we stimulated either the verb or the noun, results from these two measurements
cannot be completely matched. To clarify: I. MEPs recorded after the stimulation on the first
word (verb) provide information concerning the first part of phrase processing (the processing
of a verb that has later to be integrated with a specific noun); II. MEPs recorded after
stimulation on the second word (noun) provide us with information on the integration
between the verb and the noun (whole phrase processing) ; III. RTs provide information on
the whole phrase processing.
2.1 Analyses on MEPs
One participant was eliminated from analyses as, due to reported high levels of anxiety,
we stopped the experimental session before finishing the overall experiment. As predicted in
the Sham condition we did not record any MEPs, so we will not further discuss the non-active
condition. Peak-to-peak amplitude (mV) of each MEP was computed by an automatic Excel
script prior to normalization by means of a logarithmic transformation [log10 (mean MEPs
amplitude value)]. MEP amplitudes inferior to 0.05 mV were excluded from analyses. One
participant was excluded from further analyses due to the high percentage of unrecorded
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Corresponding author: Claudia Scorolli 10
MEPs (25.45 %). We eliminated MEPs for which participants gave an incorrect response on
the phrase sensibility task.
Normalized MEPs recorded after TMS stimulation on the first word (verb) were
submitted to a t-test, with Verb (Concrete vs. Abstract) working as the within participant
variable. MEPs peak-to-peak amplitudes recorded from the right FDI muscle during TMS
delivery did not differ in the case of Concrete Verbs or Abstract Verbs (p = 0.19).
Normalized MEPs recorded from the right FDI muscle after the stimulation on the second
word (noun) provided information on the verb and noun integration. This allowed for a 2
(Verb: Concrete vs. Abstract) X 2 (Noun: Concrete vs. Abstract) ANOVA, with all variables
manipulated within participants. We eliminated MEPs for which participants gave an
incorrect response on the phrase sensibility task. We found a significant main effect of the
Verb, F (1, 13) = 13.21, MSe = 0.002, p < .005: in case of active pulse, peak-to-peak MEPs
amplitude was greater for phrases containing Abstract Verbs (M = 2.71) than for phrases
containing Concrete Verbs (M = 2.67, see Fig. 1). The last result obtained when the pulse was
delivered on 2nd
word (the noun) shows that the primary motor cortex activity is specifically
modulated by the processing of Abstract Verbs. Overall, this result gives an additional hint as
to the recruitment of the motor system during Abstract Verbs processing.
To understand if this recruitment occurs later or lasts longer than with Concrete Verbs,
we contrasted the kind of verb and the pulse delivered timings. As we found no effect of the
kind of noun, we were entitled to perform a 2 (pulse delivered timing: at verb vs. at noun) X
2 (Verb: Concrete vs. Abstract) ANOVA. We found a significant interaction between the
Pulse Delivered Timing and the Verb, F (1, 27) = 13.78, MSe = 0.001, p < .001: abstract verbs
obtained greater peak-to-peak MEPs amplitude when the pulse was delivered at noun
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Corresponding author: Claudia Scorolli 11
(400+250 ms), M = 2.71, rather than at verb (250 ms), M = 2.67, after the verb presentation,
post hoc LSD: p < .005. (650 ms after stimulus onset might appear very late in the semantic
processing according to Event Related Potential (ERP) findings, since the N400 was found to
occur at the 300-350 ms time window after presentation of motor vs. abstract words
(Kellenbach, Wijers, Hovius, Mulder, & Mulder, 2002). Notice however that 650 ms after the
verb presentation is equal to 250 ms after the noun presentation, and that the noun meaning
needs to be integrated with the meaning of the verb).
Symmetrically we found that concrete verbs obtained greater peak-to-peak MEPs
amplitude for the pulse delivered timing at verb, M = 2.69, than at noun (650 ms), M = 2.67,
post hoc LSD: p = .055. Interestingly the activation of the motor system for concrete verb
after an early pulse did not differ from the one obtained for abstract verb after a delayed pulse
(M = 2.69 vs. M = 2.71, p = .07).
______________________________________________
Insert Figure 1 about here
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2.2 Analyses on MEPs after a pulse on 2nd
word for both sensible and non-sensible
phrases
As we found no effect of the kind of noun (abstract vs. concrete), in order to
disambiguate the role of the pulse delivered timing (at verb vs. at noun) and the kind of
subsequent noun (determining a sensible vs. non-sensible combination) on the verb, in a
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Corresponding author: Claudia Scorolli 12
further analysis we considered also the MEPs recorded from the FDI during non-sensible
phrase processing (see Kocha et al., 2010; see also Graves et al 2010). Normalized MEPs
(after a pulse on 2nd
word) were submitted to a 2 (Phrase: Sensible vs. Non-sensible) X 2
(Verb: Concrete vs. Abstract) X 2 (Noun: Concrete vs. Abstract) ANOVA. We conducted the
analysis with participants as a random factor. We found a significant interaction between the
Phrase and the Verb, F (1, 13) = 27.47, MSe = 0.001, p < .001: sensible phrases containing
abstract verbs obtained greater peak-to-peak MEPs amplitude, M = 2.71, than sensible phrases
containing concrete verbs, M = 2.67, post hoc LSD: p < .0005, see Fig. 2. Crucially, in the
case of meaningless context we found an opposite pattern, that is greater peak-to-peak MEPs
amplitude with Non-sensible Phrases containing Concrete (M = 2.69) rather than Abstract
Verbs (M = 2.67, post hoc LSD: p < .05). Finally we found a three way interaction between
the Phrase, the Verb and the Noun, F (1, 13) = 11.24, MSe = 0.001, p < .005: sensible phrases
containing abstract verbs followed by abstract nouns obtained greater MEPs, M = 2.73, than
sensible phrases formed by an abstract verbs plus a concrete noun, M = 2.69, post hoc LSD: p
< .05; we did not find an analogous modulation for non-sensible phrases (p = .44).
Interestingly the effect was also due to great MEPs amplitude for Non-sensible phrases
containing concrete verbs followed by abstract nouns, M = 2.71, if compared to all other Non-
sensible phrases (ps = .01), as well as to sensible phrases composed by concrete nouns (ps =
.01).
______________________________________________
Insert Figure 2 about here
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Corresponding author: Claudia Scorolli 13
2.3 Analyses on accuracy and RTs
One participant was excluded from behavioral analyses due to the high percentage of
unrecorded data (35.6%) because of difficulties with the response device. Percentages of
errors were submitted to a 2 (Pulse: Active vs. Sham) X 2 (Verb: Concrete vs. Abstract) X 2
(Noun: Concrete vs. Abstract) X 2 (Pulse Delivered Timing: at verb vs. at noun) ANOVA; we
manipulated all variables within participants. We will first focus on results involving the Pulse
and the Pulse Delivered Timing variables: results showed an interaction between the Pulse,
the Pulse Delivered Timing and the Verb, F (1, 12) = 7.44, MSe = 0.060, p < .05: in the
Active Pulse condition with Phrases containing Abstract Verbs participants made more errors
(M = 0.78%) when the pulse was delivered on the second word than on the first one (M =
0.56%, post hoc LSD: p < .01; the effect was not replicated for the control-sham condition, p
= .12); we found no effect of the Pulse Delivered Timing for Phrases containing Concrete
Verbs (post hoc LSD: p = .28; control-sham condition, p = .58).
Moreover we found a main effect of the Verb: participants made more errors with phrases
containing Abstract Verbs (M = 0.59%) compared to phrases containing Concrete Verbs (M =
0.37%), F (1, 12) = 18.97, MSe = 0.141, p < .001. Analyses also showed a significant
interaction between the Verb and the Noun, F (1, 12) = 19.71, MSe = 0.286, p < .001,
basically due to the high number of errors in Abstract Verbs followed by Concrete Nouns (M
= 0.81%) condition, that significantly differed from Abstract Verbs followed by Abstract
Nouns (M = 0.38%, post hoc LSD: p < .001 ), Concrete Verbs followed by Concrete Nouns
(M = 0.26%, post hoc LSD: p < .001 ) and Concrete Verbs followed by Abstract Nouns (M =
0.48%, post hoc LSD: p < .01 ) conditions.
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Corresponding author: Claudia Scorolli 14
Before performing analyses on response times all incorrect responses were eliminated
(3.57 %). Response times (ms) were submitted to a 2 (Pulse: Active vs. Sham) X 2 (Verb:
Concrete vs. Abstract) X 2 (Noun: Concrete vs. Abstract) X 2 (kind of Pulse Delivered
Timing: at verb vs. at noun) ANOVA, with all variables within participants. We will first
report results involving the Pulse and the Pulse Delivered Timing variables. We found a three
way interaction between the Pulse, the Pulse Delivered Timing and the Verb, F (1, 12) = 4.77,
MSe = 3012.27, p < .05: when the pulse was delivered on the 1st
word (verb), phrases
containing Concrete Verbs (M = 538.55 ms) were processed faster than phrases containing
Abstract Verbs (M = 576.11 ms, post hoc LSD: p < .05); in the control-sham condition we
found no effect of the Verb (p = .64). The time latencies for phrases containing concrete verbs
(M = 561.46 ms) and phrases containing abstract verbs (M = 565.65 ms) did not differ when
the pulse was delivered on the 2nd
word (noun, p = .10); not effect of the kind of verb was
found for the sham condition (p = .16). This result clearly argues in favor of a greater
activation of the motor system during Concrete Verbs processing in case of TMS pulse.
Finally we found a main effect of the kind of Noun, F (1, 12) = 5.05, MSe = 3966.197, p
< .05: phrases containing Abstract Nouns (M = 556.32 ms) were processed faster than phrases
containing Concrete Nouns (M = 575.94 ms). (This result appears to be due to the very slow
response times obtained with Abstract Verbs plus Concrete Nouns combinations. Indeed, due
to our particular paradigm, we collapsed verb and noun RTs focusing on phrases. As a result
Concrete Noun processing turned out to be slower than Abstract Noun processing because the
timing reflected not only the process of noun comprehension, but also the process of previous
verb comprehension, as well as a possible delay caused by the switching cost.) We will not
discuss this result as it is partially explained by the interaction between the Verb and the
Noun, F (1, 12) = 36.86, MSe = 1740.424, p < .0001: participants were faster with congruent
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Corresponding author: Claudia Scorolli 15
combinations (AA: M = 546.29 ms; CC: M = 550.84 ms) than with the mixed ones (AC: M =
601.04 ms; CA: M = 566.34 ms, post hoc LSD: p < .05). The advantage of congruent over
mixed combinations replicates results found by Scorolli et al (2011) in a behavioral task
employing the same paradigm. Additionally, post hoc LSD showed that participants
employed the slowest response times with Abstract Verbs combined with Concrete Nouns:
the modality switching (from concrete to abstract, or vice-versa) determines a delay; this
delay is larger in case of phrases containing Abstract rather than Concrete Verbs.
To better understand our results we performed two further separated analyses focusing on
the Active pulse condition and on the Sham condition: for both the analyses, response times
(ms) were submitted to a 2 (Verb: Concrete vs. Abstract) X 2 (Noun: Concrete vs. Abstract) X
2 (Pulse Delivered Timing: at verb vs. at noun) ANOVA, with all variables manipulated
within participants. In the analysis on Active Stimulation Condition we found a significant
interaction between the Verb and the kind of Pulse Delivered Timing, F (1, 12) = 4.90, MSe =
1477.771, p < .05: phrases containing Concrete Verbs were processed faster when the pulse
was delivered on the 1st
word (verb, M = 538.55 ms) than on the 2nd
one (noun, M = 561.46
ms, post hoc LSD: p < .05, see Fig. 3); conversely with phrases containing Abstract Verbs we
found no effect of the Pulse Delivered Timing (p = .35). Finally we found an interaction
between the Verb and the Noun, F (1, 12) = 6.50, MSe = 4121.074, p < .05: participants were
faster with congruent combinations (AA: M = 541.52 ms; CC: M = 547.26 ms) than with the
mixed ones (AC: M = 600.24 ms; CA: M = 552.75 ms).
The interaction between the Verb and the Noun was significant also in the separated
analysis on the Sham Condition, F (1, 12) = 15.28, MSe = 2476.217, p < .005: participants
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Corresponding author: Claudia Scorolli 16
were faster with congruent combinations (AA: M = 551.06 ms; CC: M = 554.52 ms) than with
the mixed ones (AC: M = 601.85 ms; CA: M = 579.93 ms).
______________________________________________
Insert Figure 3 about here
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3. DISCUSSION
An important challenge of embodied theories is to explain the comprehension of abstract
phrases. We performed a transcranial magnetic stimulation (TMS) study to explore the role of
the left primary motor cortex during the processing of concrete and abstract verbs with nouns
of graspable and non-graspable objects. Participants performed a sentence sensibility task.
Single TMS pulses were delivered 250 ms after verbs vs. nouns presentation.
The first important result is that both concrete and abstract words modulate the activity of
the motor system, as indicated by analyses on MEPs and suggested by results on RTs. This
result supports the embodied view that there is a strict relationship between words and
actions. Embodied views would be falsified and standard propositional view would be
supported if no modulation of the motor system for concrete words, for abstract words or for
both occurred. However, we found that this modulation involves different temporal windows
(for a study on single verb processing using different temporal windows see Papeo et al.,
2009). In addition, as predicted, our results suggest that concrete words activate the hand-
related motor system in a more direct and straightforward way. These results does not support
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Corresponding author: Claudia Scorolli 17
standard embodied theories (for a review see Pecher et al., 2011), according to which
processing and representation of concrete and abstract words do not differ, since both kinds of
words are grounded in action. In contrast, results are in line with a subset of theories that,
even if maintaining an embodied and grounded stance, highlight possible differences in
grounding and representation of concrete and abstract words, posing that multiple kinds of
representation underlie knowledge. These multiple representation views are compatible with
the WAT proposal. We will now discuss the results that led us to this conclusion.
1. Early simulation with concrete verbs. Our study extends results by Pulvermüller et al.
(2005) showing the temporal evolution of the language and action systems linkage in case of
whole phrase processing, using a language comprehension task (see Turken et al., 2011).
Analyses of MEPs after the pulse only on the first word do not allow us to draw any
conclusion on Concrete Verbs processing. Nevertheless the separate analysis we performed to
contrast the kind of verb and the pulse delivered timings showed that abstract verbs elicited
greater peak-to-peak MEPs amplitude with a delayed pulse (650 ms) than with an early one
(250 ms); crucially concrete verbs presented an opposite pattern (see also Candidi, Leone-
Fernandez, Barber, Carreira and Aglioti, 2010).
Moreover our data on non-sensible phrases (pulse on the second word) are informative
(for studies contrasting meaningful versus reversed, non-meaningful, phrases see Graves,
Binder, Desai, Conant & Seidenberg, 2010 and Borghi & Scorolli, 2009). Indeed, we found
that in case of meaningless context, that is when the whole phrase processing is broken as it is
impossible to integrate the noun with the previous verb, motor activation is stronger for verbs
referring to physical actions performed with the hand (greater peak-to-peak amplitudes with
concrete than abstract verbs). It seems that when participants have to evaluate the sensibility
of a phrase, as in the present task, they do not process the single words sequentially; rather the
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Corresponding author: Claudia Scorolli 18
meaning emerges from the combination of words in phrases (see Pulvermüller, 2011),
consistently with recent findings on single words formed by different morphological
components (Rueschemeyer, Brass and Friederici, 2007). If the integration cannot be
accomplished due to semantic constraints the comprehension process stops at the verb level.
Together with the results on MEPs for sensible phrases, these results on both meaningless
vs. meaningful phrases help us rule out a possible alternative explanation, that motor activity
may increase merely as a function of task difficulty (e.g., Davis and Johnsrude, 2003;
Fridriksson, et al., 2008). Analysis on the sentence sensibility judgment task (response
latencies) showed consistent findings, as we found an advantage for phrases containing
concrete rather than abstract verbs only when the pulse was delivered on the 1st
word.
Interestingly this effect seems to be very early, as the first pulse was delivered just 250 ms
after the word presentation.
2. Verb-noun integration: late simulation with abstract verbs. As we presented verb-noun
combinations, instead of single words, it is crucial to understand how the integration process
of verbs and nouns takes place.
2a. Our results show that MEPs peak to peak amplitudes after a ‘delayed’ pulse (pulse on
the second word, the noun) were greater with phrases containing abstract verbs than phrases
containing concrete verbs. This result favors the hypothesis that abstract words (verbs) also
activate the motor system (specifically, in our study, the motor system related to manual
action; see Jirak et al, 2010). The unexpected result that the MEPs peak are larger with
abstract than with concrete words is not in keeping with one influential embodied theory, the
Conceptual Metaphor one, that we briefly illustrated in the introduction. According to this
view concrete concepts are used as metaphor to represent abstract concepts, providing them
structure and grounding. The fact that the MEPs peaks are higher with abstract words can be
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Corresponding author: Claudia Scorolli 19
due to the fact that, because abstract sentences are less embodied in M1 hand motor cortex,
the effort to process abstract words in M1 is higher. A further, more probable explanation is
that the effort to process abstract words in the premotor cortex or other secondary areas is
higher and therefore determines a stronger modulatory influence on M1. This could also
explain the larger delay of the peak activation.
More crucial to our hypotheses, which are not based on the idea that abstract concepts are
metaphorically grounded on concrete ones but that multiple representations are activated in
both cases, is that the motor system activation is delayed with abstract words compared to
concrete words. As said, this can be due to the fact that the effort to process abstract words in
secondary areas is higher. Alternatively, it can be due to a delayed activation of hand areas
due to an early activation of mouth areas in the case of abstract words (this account will be
discussed later in a more detailed way). This delay is suggested by separate analysis
contrasting the kind of verb and pulse delivered timings, regardless of the noun (as it did not
modulate the MEPs). The role of the early or delayed pulse and the context is disambiguated
by further analysis we performed on both sensible and non-sensible phrases: crucially, this
greater delayed involvement of the motor system in the case of phrases containing abstract
verbs disappears with non sensible phrases (for which presumably the noun is not integrated
with the verb). This suggests that simulation related to the semantic meaning of the phrase
only occurs when the content makes sense and that this process leads to activation of the
motor system.
Actually in the case of meaningless context we also found greater MEPs amplitude with
phrases containing concrete verbs followed by abstract nouns than for both the other non-
sensible phrases and sensible-phrases composed by concrete verbs. Consider that our concrete
plus abstract combinations result on phrases having a metaphorical meaning that can often be
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Corresponding author: Claudia Scorolli 20
grasped also for non-sensible combinations (e.g. “to smoke a shade”: the noun can be
integrated with the previous verb), that can be intended as less familiar metaphors. Moreover
our CC, CA and AA combinations roughly match the literal action sentences (e.g. “The
daughter grasped the flowers”), the metaphoric action sentences (e.g. “The public grasped the
idea”) and the abstract sentences (e.g. “The public understood the idea”), respectively, used
by Desai et al. (2011). In this recent work authors found that activation in a number of
sensory-motor regions was negatively correlated with familiarity for sentences containing
concrete verbs (i.e. for both literal and metaphoric action sentences). Therefore the activation
of M1 hand-related areas for meaningless phrases composed by a concrete verb followed by
an abstract noun seems to be due to the negative correlation of primary motor areas with
metaphor familiarity (Desai et al, 2011). We are aware that during processing of non sensible
phrases normal comprehension processes are disrupted, thus strong conclusions are typically
not drawn based on results on non sensible phrases (but see Graves, Binder, Desai, Conant &
Seidenberg 2010). Consider, however, the specificity of our paradigm, in which the phrase is
not presented in its whole, but each word that composed it is presented separately. This allows
us to capture the effects of the first word and of the integration of its meaning with that of the
second word.
We propose two possible explanations for the delayed activation with abstract words
compared to concrete words, relying on two different embodied views: (a) the motor
simulation is also evoked by phrases containing abstract verbs, but this simulation occurs later
than with phrases containing concrete verbs. This interpretation is consistent with a recent
embodied theory that, similarly to WAT, proposes that multiple kinds of representation
underlie knowledge, the Language and Situated Simulation Theory, LASS (Barsalou et al.,
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Corresponding author: Claudia Scorolli 21
2008). According to LASS linguistic forms and situated simulations interact continuously, but
while the linguistic system is mainly involved during early superficial linguistic processing, a
deeper conceptual processing would be necessary for the operation of the simulation system
(e.g., sensorimotor system activation; for consistent results, see also Louwerse & Connell,
2011). This proposal can account for the delayed activation of phrases containing abstract as
opposed to concrete verbs, but LASS would predict a modulation of MEPs by the kind of
noun. We found greater activation of the motor system for abstract verbs than concrete ones
in MEPs after a pulse on the noun (400+250 ms). From 250 ms after the noun onset
participants should have already processed the noun (Pulvermüller et al., 2005); so LASS
would predict greater MEPs for graspable than for non-graspable objects combined with
abstract verbs. Instead, we did not find any modulation of the noun; moreover, in the analyses
of both sensible and non-sensible phrase we found an opposite pattern.
The second possible explanation (b) of this result supports the WAT proposal (Borghi
and Cimatti, 2009; 2012). As anticipated in the introduction, the role played by socially
transmitted linguistic information should be more important for abstract than for concrete
words, due to the fact that for their acquisition the use of labels and of explanations of the
word meaning provided by others is particularly crucial. Due to their acquisition modality,
concrete words evoke more manual information, while abstract words elicit more verbal
information (Borghi et al., 2011). We can account for these results through arguing that
concrete verbs activate early motor areas related to the hand, while abstract verbs activate
earlier motor areas related to the mouth, as data on acquisition modality suggest (Borghi et al.,
2011). The early activation of motor areas related to the mouth would have a delayed effect
on motor areas related to the hand, due to their topological contiguity. The reason why MEPs
modulation should be similar for both a direct effect (hand) and an indirect effect (mouth)
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might not seem straightforward. However, one could speculate that, in the temporal window
of 250 ms, we might detect the hand related curve in its decreasing phase, while in the
temporal window of 650 ms we might detect the curve describing the effect of the mouth on
the hand areas during its increasing phase. On this basis, the signal that we detect at 650 ms
could be a compound of mouth induced activation (abstract verbs) plus the activation
determined by noun processing, that - resting in our measures - we cannot estimate, but that is
reasonably different from zero (null activation). This interpretation is consistent with a study
on visual, motor and abstract words by Kellenbach et al (2002): measuring event related
potentials (ERPs). They found greater anterior positivity (lateral sites) activation with abstract
words than with motor words starting from 300 ms; the effect lasted until 500 ms (centro-
anterior sites). Later the effect became left lateralized (550-750 ms). Further results in line
with our perspective have been found by Desai et al. (2010) with fMRI. Participants were
presented with sentences of the form ‘‘I/You/We/They <verb > the <noun >’’ (e.g., “I throw
the ball”) and had to evaluate their sensibility by pressing a key; they had to respond only to
non sensible sentences. The sentences included either a motor (e.g., “grasp”), visual (e.g.,
“read”) or an abstract verb (e.g., “explain”, “allow”) combined with concrete and abstract
nouns (e.g., “ball” vs. “method”). The results showed that abstract sentences, differently from
motor and visual ones, strongly activated the superior/anterior temporal and inferior frontal
areas. In line with WAT, this study on sentence processing suggests that the meaning of
abstract words may be represented primarily through verbal associations with other words.
The difference between Paivio’s view and embodied multiple representation views such as
WAT is that, according to the last, both sensorimotor and linguistic information are crucial for
both concrete and abstract words, even if the distribution of the two information sources is
different. In our study the analysis on MEPs when the pulse was delivered on the second word
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Corresponding author: Claudia Scorolli 23
indicates that also abstract verbs activated the manual motor system, even if it is unclear from
the present study whether this activation of the manual system is the cascade effect of the
involvement of the mouth areas (see below).
2b. Beyond the analysis on MEPs, the second main result on verb-noun integration is
from reaction times analyses. We found an interaction between the Verb and the pulse
delivered timing: phrases containing concrete verbs were processed faster than phrases
containing abstract verbs when the TMS pulse was delivered on the presentation of the verb.
We did not find any difference when the pulse was delivered on the noun. Consistently with
our interpretation of MEPs, reaction times were faster when the hand related motor areas were
directly involved (concrete verbs). The supposed indirect activation of hand areas by abstract
verbs affected the MEPs but it did not last long enough, and probably was not strong enough,
to affect response times. Finally, the interaction between the Verb and the kind of Noun is
consistent with a recent cross-linguistic study (Scorolli et al., 2011) in which we found the
same advantage a. for compatible combinations, and, b. within the mixed combinations, when
the concrete word preceded the abstract word, regardless of its grammatical class (see Paivio,
1965).
Overall our results seem to indicate that while phrases containing concrete verbs imply a
direct early activation of the hand related motor system, the activation of the same system is
delayed in the case of phrases containing abstract verbs. The processing of abstract verbs
could early engage mouth related motor areas, that later affect the contiguous areas (hand
areas).However, the present evidence does not allow for disambiguation between two
alternative explanations: (1) abstract words have a weaker grounding in the sensorimotor
system; (2) abstract words are processed in an alternative route, maybe in the premotor cortex,
with involvement from mouth related motor areas. Integrating these results with those
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Corresponding author: Claudia Scorolli 24
recently obtained in a study on novel words acquisition (Borghi et al., 2011) we lean towards
the second hypothesis. Whether this indirect or "cascade" effect of the mouth-related neural
network on the hand related motor areas plays a functional role in meaning or is an effect of
cortical connectivity cannot be determined on the basis of our current study. Integrating the
current results with previous behavioural results on concrete and abstract words acquisition
we are inclined to think that the mouth areas activation is not simply a by-product of cortical
connectivity but contributes to the process of meaning formation. However, further research is
needed to clarify this issue, and particularly studies aimed at directly stimulating the motor
cortex mouth areas.
As hypothesized by the WAT proposal, mouth areas could be crucial for abstract word
processing. In thinking about the acquisition of a concrete word, such as “pencil”: the
acquisition simply requires a person to use the label while indicating the right referent. The
acquisition of a concept-word like “democracy”, instead, implies the presence of somebody
explaining the word meaning, using language. This experience is still a bodily experience but
the contribution of the social dimension is more relevant to acquisition. In addition, in this
experience language is not only the counter part of an external referent but is a tool that allows
us to acquire more complex meanings, a powerful means of collecting a variety of bodily and
situational experiences.
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4. EXPERIMENTAL METHOD
4.1 Participants
16 students (7 men and 9 women; mean age = 27.44 years; s.d. = 1.93) attending the
University of Bologna took part in the study. All were native Italian speakers, right-handed
and all had normal or corrected-to-normal vision. Before starting the experimental session, the
experimenters assessed their general health status with a brief interview: none of them were
reported evidence for neither neurological or psychiatric diseases, nor contraindications
related to single-pulse TMS procedure. Then participants were provided with a detailed
explanation about the procedure, contraindications and risks of the experiment (Wessermann,
1998). To begin the experiment participants had to confirm their voluntary participation by
written consent. The study was approved by the local ethics committee (Department of
Psychology, University of Bologna). All participants received compensation for their
participation.
4.2 Transcranial Magnetic Stimulation and EMG recording
As an index of cortico-spinal excitability, we recorded motor-evoked potential (MEPs).
MEPs induced by TMS were recorded from the right first dorsal interosseus muscle (FDI, in
the region of the index finger) by means of a Biopac Student Lab MP36 electromyograph
(Biopac Systems, Inc, U.S.A.). EMG signals were band-pass filtered (20 Hz–2.5 kHz,
sampling rate fixed at 10 kHz), digitized and stored on a computer for off-line analysis. Pairs
of silver/silver chloride surface electrodes were placed over the muscle belly (active
electrode) and over the associated joint or tendon of the muscle (reference electrode). A
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Corresponding author: Claudia Scorolli 26
circular ground electrode with a diameter of 30 mm was placed on the internal bone of the
right elbow. Single-pulse TMS was applied to the left M1, using a Magstim Rapid 2
stimulator (Magstim, Whitland, Dyfed, U.K.) connected to a figure-of-eight coil (70 mm in
diameter). The coil was moved over the left hemisphere to determine the optimal position
from which maximal amplitude MEPs were elicited in the FDI muscle. The optimal scalp
position for the induction of MEPs with the maximum amplitude in the right FDI muscle was
individuated for each participant. The coil rested tangential to the scalp with the handle
pointing backwards and laterally at a 45° angle away from the midline. The target site was
marked with a drawing pen on a cap applied on participants’ head, and the coil was
maintained in position by the experimenters. The intensity of magnetic pulses was set at
120% of the resting motor threshold (rMT), which is the minimum intensity of output
required to produce MEPs with amplitude of at least 50 µV in the FDI muscle with 50% of
probability (Rossini et al., 1994). The absence of voluntary contraction was continuously
verified visually and, prior to the recording session, through auditory monitoring of the EMG
signal.
4.3 Linguistic materials
Stimulus materials consisted of word pairs composed of a transitive verb and a concept
noun. We used 28 quadruplets, thus 112 sensible phrases. Each quadruplet was constructed by
pairing a concrete verb (e.g. to grasp) with a concrete noun (e.g. a flower) or an abstract noun
(e.g. a concept); and by pairing an abstract verb (e.g. to describe) with the previously used
concrete and abstract noun. We defined Concrete Nouns as nouns referring to graspable
objects and Concrete Verbs as verbs referring to physical actions (Taylor, 1977; Vendler,
1957) performed with the hand. We defined Abstract Nouns as nouns that do not refer to
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Corresponding author: Claudia Scorolli 27
graspable objects and Abstract Verbs as verbs expressing mental processes, with no reference
to a physical object (Taylor, 1977; Vendler, 1957). To select the 28 critical quadruples from
48 ones, we asked twenty Italian students to judge the familiarity of each phrase (verb +
noun) and with what degree of probability they would use each phrase. We then selected the
quadruples with highest scores in both ratings and with lowest scores in the standard
deviations (for a detailed description of the materials’ selection see Scorolli et al., 2011).
In order to further test if the selected pairs differed in written frequency of use we utilized
the research engine “Google”: we checked the number of occurrences of each verb-noun pair,
by using quotations marks (Page et al., 1998; Griffiths et al., 2007; Sha, 2010). The obtained
frequencies were submitted to a 2 (Noun: Concrete vs. Abstract) X 2 (Verb: Concrete vs.
Abstract) ANOVA. Crucially, we did not find any significant effect (all ps ≥ .41). The
establishment of control on written frequency allowed us to exclude that processing
differences rest on different degrees of association between the words pairs used in the
quadruples. Finally we selected 112 non-sensible phrases, that is phrases in which the actions
described by the abstract (e.g. to suspect) or concrete (e.g. to eat) verbs were not suitable for
the abstract (e.g. the freedom) or concrete (e.g. a pen) nouns that followed the verb (non-
sensible phrases). Due to the particular kind of paradigm it was impossible to balance phrases
for word length and number of syllables. However, this should not represent a problem, given
that our main hypotheses pertain to the interactions.
4.4 Procedure
The experiment was programmed using the EPrime (Psychology Software Tools, Inc,
U.S.A) software to control sequence and duration of the presentation of the linguistic
material, and to trigger TMS and EMG recording. Participants were asked to perform a
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Corresponding author: Claudia Scorolli 28
sentence sensibility task: they were required to judge if phrases made sense or not.
Participants focused on a fixation cross; after 1000 ms a verb appeared on the screen; after
400 ms the verb was substituted by a noun. The cut-off was set at 2500 ms from the noun
onset. On conclusion of this cycle there was a pause; then the next trial began. Each trial
lasted 8000 ms from start to finish, i.e. long enough to prevent interaction between
consecutive TMS-pulses (Robertson et al., 2003). Participants were instructed to use the left
foot – homolateral side with respect to TMS stimulation site – to respond. They were
randomly assigned to one of two groups. Participants in the first group were asked to respond
“yes” (= the combination makes sense) pressing the right pedal and “no” (= the combination
doesn’t make sense) pressing the left pedal; participants in the other group were assigned the
opposite mapping. Participants were instructed to keep their right arm/hand and head
motionless and muscle relaxation was monitored throughout the entire experiment to check
for involuntary movements. Response times and errors were recorded using EPrime; the timer
started from the noun presentation.
Experimental Design
The experiment consisted of four blocks of 112 items (verb + noun) each: 56 sensible
phrases and 56 non-sensible phrases. The phrases of the quadruplets were constructed by
combining a Concrete Verb with a Concrete Noun or with an Abstract Noun, and an Abstract
Verb with the nouns previously used. For two blocks participants were delivered a TMS
stimulation at verb or at noun: in both cases there was a delay of 250 ms after the word onset.
For the remaining two blocks they were delivered with a sham stimulation (at verb vs. at
noun).
Each phrase was presented twice, so we collected 14 observations for each experimental
condition. 224 motor evoked potentials (MEPs) were obtained from each participant, one
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A TMS study on Abstract and Concrete Phrases
Corresponding author: Claudia Scorolli 29
magnetic stimulus being applied for each item (the pulses delivered during the two sham-
blocks did not elicit MEPs). The four kinds of phrases were presented in random order within
each block, with a short pause after 28 items
The choice of the temporal window was motivated by electrophysiological evidence
showing that starting from 250 ms motor words elicited greater negativity than both visual
and abstract words (Kellenbach, Wijers, Hovius, Mulder, & Mulder, 2002). The order of the
two stimulation conditions (TMS and sham) was counterbalanced across subjects. To mimic
the TMS conditions (Robertson et al., 2003), in the sham stimulation conditions the same
intensity of magnetic pulse was used, but a cylinder made of insulating material was located
between the coil and the scalp surface.
At the end of the experiment participants were debriefed. Since none of them was
previously exposed to TMS, they reported that they had attributed the differences in the
peripheral effects intensity in the sham and TMS conditions to different pressures applied on
the scalp by the two experimenters.
______________________________________________
Insert Figure 4 about here
______________________________________________
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Corresponding author: Claudia Scorolli 30
Acknowledgments
Thanks to Michele Marzocchi for the useful script to compute screen for MEPs >= 50 µV.
Thanks to Alessio Avenanti for discussions and useful suggestions on this paper and to Roberto
Bolzani for statistical advice. Thanks to Kate Burke for revision of the English text. This work
was supported by the European Community, project ROSSI: Emergence of communication in
RObots through Sensorimotor and Social Interaction (Grant agreement n. 216125).
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Corresponding author: Claudia Scorolli 31
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FIGURE CAPTIONS
Figure 1. Normalized MEPs recorded after the TMS stimulation on the 2nd
word. Peak-
to-peak MEPs amplitude was greater for phrases containing Abstract Verbs than for phrases
containing Concrete Verbs.
Figure 2. The interaction between the kind of Sentence and the Verb: Sensible phrases
containing Abstract Verbs obtained greater MEPs amplitudes than Sensible phrases
containing Concrete Verbs. We found an opposite pattern for Non-sensible phrases.
Figure 3. The interaction between the Verb and the kind of Pulse Delivered Timing:
phrases containing Concrete Verbs were processed faster when the pulse was delivered on the
1st word than on the 2nd; with phrases containing abstract verbs no effect was found.
Figure 4. The figure shows the experimental paradigm. The coil was moved over the left
hemisphere to determine the FDI representation in the primary motor cortex.