The webinar is directed toward all clinical trial professionals who work on the development of CNS-active drugs and plan a new early or late phase clinical trial. Electroencephalography (EEG), including Event-Related Potentials (ERP), can be an objective endpoint of choice in many cases – this webinar will make clear why, when and with what benefit.
Contents:
Main EEG paradigms and endpoints
Brain disorders and drug action as seen in the EEG
The key-lock principle
PD/PK modeling with EEG
EEG topographies
How The Siesta Group can support clinical trial EEG
Automatic Processing of Emotionally Salient Imageshschwimmer
This study investigated whether the effect of emotional valence on the P300 event-related potential is automatic or attentional. Participants performed an oddball task discriminating between frequent neutral images and infrequent positive, negative, or neutral images. Results showed no difference in P300 amplitude between negative and positive images. However, there was an interaction where left electrodes produced a larger P300 for positive images and right electrodes for negative, suggesting automatic hemispheric lateralization for emotional processing. This provides evidence that emotional valence is processed automatically independent of attention.
New treatment for Major Depression/Nuevo tratamiento para la Depresión Mayorbraincosm
BRAINco Biopharma Major Depression Drug Discovery project brochure. Licensing opportunity.
Folleto descriptivo del proyecto de búsqueda y desarrollo de fármacos en Depresión Mayor. Oportunidad de licencia.
Controlling Wheelchair Using Electroencephalogram(EEG)Shazid Reaj
This presentation discusses controlling a wheelchair using electroencephalography (EEG) signals from the brain. The methodology involves collecting EEG data from nine subjects performing five mental tasks, extracting features from the EEG data using wavelet packet transform, and classifying the tasks using a radial basis function neural network. The classified mental tasks are then mapped to control directions for a wheelchair prototype. Experimental results showed 100% accuracy in classifying the five mental tasks of movement imagination, arithmetic tasks, geometric figure rotation, and relaxation. This BCI system has potential applications for assisting people with disabilities to control wheelchairs and other devices.
EEG Acquisition Device to Control Wheelchair Using ThoughtsVivek chan
With the advancements in technology and health-care facilities, the number of senior citizens has increased and thus the number of elderly who find it difficult to walk. Hence there is a need for designing a wheelchair that is user friendly and involves fewer complexities. In this context, we propose a thought controlled wheelchair, which uses the captured signals from the brain and process it to control the wheelchair. This wheelchair can also be used by the physically challenged who depend on others for locomotion. Rehabilitation centers at hospitals can also make use of this wheelchair. In this paper, we explain the design and analysis of the thought-controlled wheelchair. In addition, we present some of the experiments that were carried out and the corresponding results in this paper.
http://www.vivek-chan.in
Automatic Processing of Emotionally Salient Imageshschwimmer
This study investigated whether the effect of emotional valence on the P300 event-related potential is automatic or attentional. Participants performed an oddball task discriminating between frequent neutral images and infrequent positive, negative, or neutral images. Results showed no difference in P300 amplitude between negative and positive images. However, there was an interaction where left electrodes produced a larger P300 for positive images and right electrodes for negative, suggesting automatic hemispheric lateralization for emotional processing. This provides evidence that emotional valence is processed automatically independent of attention.
New treatment for Major Depression/Nuevo tratamiento para la Depresión Mayorbraincosm
BRAINco Biopharma Major Depression Drug Discovery project brochure. Licensing opportunity.
Folleto descriptivo del proyecto de búsqueda y desarrollo de fármacos en Depresión Mayor. Oportunidad de licencia.
Controlling Wheelchair Using Electroencephalogram(EEG)Shazid Reaj
This presentation discusses controlling a wheelchair using electroencephalography (EEG) signals from the brain. The methodology involves collecting EEG data from nine subjects performing five mental tasks, extracting features from the EEG data using wavelet packet transform, and classifying the tasks using a radial basis function neural network. The classified mental tasks are then mapped to control directions for a wheelchair prototype. Experimental results showed 100% accuracy in classifying the five mental tasks of movement imagination, arithmetic tasks, geometric figure rotation, and relaxation. This BCI system has potential applications for assisting people with disabilities to control wheelchairs and other devices.
EEG Acquisition Device to Control Wheelchair Using ThoughtsVivek chan
With the advancements in technology and health-care facilities, the number of senior citizens has increased and thus the number of elderly who find it difficult to walk. Hence there is a need for designing a wheelchair that is user friendly and involves fewer complexities. In this context, we propose a thought controlled wheelchair, which uses the captured signals from the brain and process it to control the wheelchair. This wheelchair can also be used by the physically challenged who depend on others for locomotion. Rehabilitation centers at hospitals can also make use of this wheelchair. In this paper, we explain the design and analysis of the thought-controlled wheelchair. In addition, we present some of the experiments that were carried out and the corresponding results in this paper.
http://www.vivek-chan.in
Kate Toland - Poster Neuro Conference Sept 2015 MKKate Toland
This document describes a study that investigated the effects of neurofeedback training (NFT) on response inhibition. Eighteen healthy participants were randomly assigned to receive NFT targeting theta activity in either the right inferior frontal gyrus (rIFG group) or right angular gyrus (rAG group, control region). Participants completed response inhibition and other executive function tasks before and after five NFT sessions over four weeks. The study found no significant group differences in response inhibition task performance or theta activity after NFT. However, the rIFG group showed improved switching task performance compared to the rAG group.
PET and SPECT Scanning: Functional Brain ImagingBrendan Quinn
PET and SPECT are functional brain imaging techniques. PET has higher resolution but is more expensive, while SPECT has lower resolution but is less expensive. Both techniques involve injecting radioactive tracers and detecting their location in the brain to map blood flow and metabolic activity. fMRI is another functional imaging technique that detects changes in blood oxygenation to map brain activity.
This study investigated how sensory motor rhythm (SMR, 13-15 Hz) and beta (16-20 Hz) band activity in the brain's EEG is affected by different states of attention. 11 participants completed two attention-demanding tasks - an externally-focused multiple object tracking task and an internally-focused visuospatial memory task - as well as a no-task control condition. EEG was recorded during each condition. Analysis found that both attention tasks reduced EEG power in the SMR, beta, and alpha bands compared to the no-task control. Additionally, the internally-focused task produced higher EEG power than the externally-focused task. These results contradict models suggesting increased SMR and beta reflect improved sustained attention.
Quantification and Comparison of Different Non-Linear Techniques of EEG SignalsIRJET Journal
This document summarizes a research study that analyzed EEG signals recorded from subjects performing a mental task on Solidworks. The study aimed to evaluate and compare nonlinear analysis techniques (approximate entropy, fuzzy entropy, sample entropy) and determine the most relevant for assessing mental exertion. EEG signals were recorded from 6 brain nodes while subjects performed an assembly task for 8 hours. Nonlinear parameters were calculated from the signals and compared to subjective exertion ratings. Results showed that the O1-O2 brain node and fuzzy entropy provided the most sensitive assessment of mental exertion compared to other techniques and nodes. Fuzzy entropy may best quantify exertion levels during cognitive tasks.
This document summarizes the design of an EEG circuit and data acquisition system. It includes block diagrams of the EEG amplifier board and analog-to-digital converter board. The EEG amplifier uses a two-stage design with gains of 50 and 390. The proposed analog-to-digital converter is a Keithley KPCI-1307 card capable of 100k samples/second. Software options for the card include VHDL implementation on an Altera board or using DriverLINX APIs. Testing showed the system could successfully record eyebrow raises and eye blinks.
This document summarizes key concepts about EEG circuit design and analysis. It discusses electrode circuits, instrumentation amplifiers, chopper-stabilized low-noise amplifiers, two-stage op-amps, equivalent circuit models, EEG recordings from different conditions, hardware block diagrams, the Nyquist theorem, bipolar vs monopolar recordings, artifacts from EMG, eye blinks, EKG, line noise, reviewing EEG based on voltage, frequency, location, and transient events, normal and abnormal distributions of EEG data, constructing life span normative databases, and related BCI research goals and challenges.
In this presentation I introduce TMS usage in neurocognitive research for the MSc course at Bangor School of Psychology. Note that some of the material comes from other useful presentations found online.
Harnessing EEG Methods to Improve Basic and Translational Research for CNS Di...InsideScientific
In this webinar, Dr. Robert Gould, Assistant Professor of Physiology and Pharmacology at Wake Forest School of Medicine, discusses how EEG can be used to study sleep architecture and arousal, addiction/substance use disorder, schizophrenia and drug discovery.
Michael Girand, Scientific Applications Manager at DSI, conveys a holistic approach when studying CNS-based applications and discusses how researchers can improve their study design and get more endpoints out of the animal model.
Key discussion topics include:
- Multiple translational applications of EEG to enhance your research
- Highlighting sleep disruptions across CNS disorders
- Understanding how to apply EEG to measure changes in brain function
- Tools available to create a robust study design
- The collaborative approach between technologies, scientists, and DSI
Investigation of one compound effect on main neuronal properties in a native ...NEUROSERVICE
The document reports on an investigation of the effects of Compound A on neuronal properties in rat hippocampal slices. The study evaluated the effects of Compound A on input/output properties, paired-pulse facilitation, basal synaptic transmission, long-term potentiation, long-term depression, and paired-pulse inhibition. The results showed that Compound A slightly decreased basal synaptic transmission but did not modify other properties like paired-pulse facilitation or long-term potentiation and depression. The conclusion is that Compound A does not significantly affect the main neuronal properties evaluated in the study.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This study investigated the role of peptidergic input in modulating respiratory rhythm and frequency in the preBötzinger Complex (preBötC), the hypothesized site of respiratory rhythm generation in mammals. The key findings were:
1) Application of NK1R and μ-opioid receptor agonists into the preBötC increased and decreased respiratory frequency, respectively, and these effects were independent of GABA and glycine transmission.
2) NK1R and μ-opioid receptor expression was concentrated in the preBötC region, defining its anatomical boundaries.
3) Subsets of preBötC neurons expressed both NK1Rs and μ-opioid
This corporate presentation from Neuroservice, a contract research organization, provides an overview of the company in 3 paragraphs:
Neuroservice is a CRO that specializes in testing the effects of compounds on central nervous system tissues using in vitro techniques like patch clamp recordings and multi-electrode arrays on rodent and human brain slices. They have over 150 studies completed for clients like Pfizer and Roche. Neuroservice offers outsourced research, customized assay solutions, and pre-made package options for drug discovery and safety testing focused on areas like neurodegenerative diseases and pain. Their techniques allow them to evaluate compounds' mechanisms of action and effects on neuronal networks and single neurons in a physiologically relevant and reproducible manner while minimizing animal and
This document summarizes a study on analyzing EEG signals during meditation using wavelet transforms. It begins by providing background on meditation and EEG signals. It then discusses previous research showing meditation affects physical and mental relaxation. The study aims to analyze changes in EEG signals during meditation using wavelet transforms, as EEG signals are non-stationary and nonlinear. It describes collecting EEG data from subjects during meditation and non-meditation, and using Daubechies wavelets to decompose the signals into frequency bands. The study will calculate statistical parameters of the frequency bands to analyze differences in EEG signals during meditation versus non-meditation states.
Feature Extraction Techniques and Classification Algorithms for EEG Signals t...Editor IJCATR
This document reviews techniques for extracting features and classifying EEG signals to detect human stress levels. It discusses EEG signals and how they can provide information about mental states. It also reviews common feature extraction methods like DCT and DWT that can preprocess EEG data by transforming it from the time to frequency domain. Classification algorithms like KNN, LDA, and Naive Bayes that can classify EEG data are also examined. The document proposes a system to use a Neurosky Mindwave EEG headset to record raw EEG signals, preprocess them with DWT, and classify stress levels using a combination of classifiers.
The document summarizes a study that investigated how attention modulates the P1 ERP component. 6 participants completed a spatial cueing task while EEG was recorded. The study found that:
1) P1 amplitude was stronger over electrode sites contralateral to the attended visual field, suggesting attention increases neural sensitivity.
2) P1 onset latency was earlier for attended stimuli, suggesting attention optimizes neural pathways to speed response.
3) Small P1 onset differences between fast and slow reaction times suggest P1 indicates reaction time before response.
EEG S IGNAL Q UANTIFICATION B ASED ON M ODUL L EVELS sipij
This article proposes a contribution to quantify EE
G signals outline. This technique uses two tools fo
r EEG
signal characteristics extraction. Our tests were r
ealized on the basis of 32 canals EEG canals using
Neuroscan software. EEG example demonstration is re
ferenced CZ and is sampled at 1000HZ. The
principal aim of this technique is to reduce the im
portant volume of EEG signal data Without losing an
y
information. EEG signals are quantified on the basi
s of a whole predefined levels The obtained results
show that an EEG alignment can be posted in a quant
ified form.
IRJET- Disentangling Brain Activity from EEG Data using Logistic Regression, ...IRJET Journal
This document discusses using machine learning algorithms to analyze EEG data and predict a person's learning capabilities. It extracts features from raw EEG data, including delta, theta, alpha, beta, and gamma waves. It then applies logistic regression, XGBoost, RNN, and decision trees to classify if a student is confused while learning from videos. The highest accuracy was achieved using XGBoost. Overall, the study aims to develop a system to monitor learning using EEG and analyze the correlation between brain activity and learning capability.
The document discusses electroencephalography (EEG), which records the electrical activity of the brain from the scalp. It describes how Hans Berger first recorded EEG in 1929. It explains the different types of brain waves seen in a normal EEG - alpha, beta, theta, and delta waves. It discusses how EEG is used to study epilepsy, sleep disorders, brain tumors, and other neurological conditions. It also covers how EEG recordings are performed, including electrode placement and provocation tests.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
The document discusses FPGA implementation of a wavelet-based technique for denoising EEG signals. It begins by introducing EEG signals and their clinical uses. It then describes using the wavelet transform to perform data reduction and preprocessing of five classes of EEG signals (Alpha, Beta, Gamma, Delta, Theta) generated in MATLAB. Several iterations were performed to find suitable wavelet coefficients that could correctly classify all five EEG classes. Finally, the resulting parameters were implemented on an FPGA.
Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
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This document describes a study that investigated the effects of neurofeedback training (NFT) on response inhibition. Eighteen healthy participants were randomly assigned to receive NFT targeting theta activity in either the right inferior frontal gyrus (rIFG group) or right angular gyrus (rAG group, control region). Participants completed response inhibition and other executive function tasks before and after five NFT sessions over four weeks. The study found no significant group differences in response inhibition task performance or theta activity after NFT. However, the rIFG group showed improved switching task performance compared to the rAG group.
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This document summarizes a research study that analyzed EEG signals recorded from subjects performing a mental task on Solidworks. The study aimed to evaluate and compare nonlinear analysis techniques (approximate entropy, fuzzy entropy, sample entropy) and determine the most relevant for assessing mental exertion. EEG signals were recorded from 6 brain nodes while subjects performed an assembly task for 8 hours. Nonlinear parameters were calculated from the signals and compared to subjective exertion ratings. Results showed that the O1-O2 brain node and fuzzy entropy provided the most sensitive assessment of mental exertion compared to other techniques and nodes. Fuzzy entropy may best quantify exertion levels during cognitive tasks.
This document summarizes the design of an EEG circuit and data acquisition system. It includes block diagrams of the EEG amplifier board and analog-to-digital converter board. The EEG amplifier uses a two-stage design with gains of 50 and 390. The proposed analog-to-digital converter is a Keithley KPCI-1307 card capable of 100k samples/second. Software options for the card include VHDL implementation on an Altera board or using DriverLINX APIs. Testing showed the system could successfully record eyebrow raises and eye blinks.
This document summarizes key concepts about EEG circuit design and analysis. It discusses electrode circuits, instrumentation amplifiers, chopper-stabilized low-noise amplifiers, two-stage op-amps, equivalent circuit models, EEG recordings from different conditions, hardware block diagrams, the Nyquist theorem, bipolar vs monopolar recordings, artifacts from EMG, eye blinks, EKG, line noise, reviewing EEG based on voltage, frequency, location, and transient events, normal and abnormal distributions of EEG data, constructing life span normative databases, and related BCI research goals and challenges.
In this presentation I introduce TMS usage in neurocognitive research for the MSc course at Bangor School of Psychology. Note that some of the material comes from other useful presentations found online.
Harnessing EEG Methods to Improve Basic and Translational Research for CNS Di...InsideScientific
In this webinar, Dr. Robert Gould, Assistant Professor of Physiology and Pharmacology at Wake Forest School of Medicine, discusses how EEG can be used to study sleep architecture and arousal, addiction/substance use disorder, schizophrenia and drug discovery.
Michael Girand, Scientific Applications Manager at DSI, conveys a holistic approach when studying CNS-based applications and discusses how researchers can improve their study design and get more endpoints out of the animal model.
Key discussion topics include:
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- Highlighting sleep disruptions across CNS disorders
- Understanding how to apply EEG to measure changes in brain function
- Tools available to create a robust study design
- The collaborative approach between technologies, scientists, and DSI
Investigation of one compound effect on main neuronal properties in a native ...NEUROSERVICE
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ferenced CZ and is sampled at 1000HZ. The
principal aim of this technique is to reduce the im
portant volume of EEG signal data Without losing an
y
information. EEG signals are quantified on the basi
s of a whole predefined levels The obtained results
show that an EEG alignment can be posted in a quant
ified form.
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7. Why EEG?
It‘s an objective measurement
It helps you answer questions like
Is my drug active in the brain?
How does it act?
Where does it act?
When does it act?
At which dose does it act?
in a very cost-efficient manner 7
9. Drug-induced
Drug induced EEG changes are related to
behavioral changes (Fink 1964)
Perceptual discrimination ,
EEG slow activity (with or motor activity , mood ,
without amplitude )
ith t lit d ht intensity and rate
thought i t
th it d t ,
recall
EEG beta activity (with
y ( sleep duration , affect , fear
amplitude ) and anxiety
EEG beta activity (with mood , perception of stimuli
amplitude )
EEG beta + slow activity delirium, perceptual acuity +
recall , psychomotor
tl
restlessness
EEG alpha activity relaxation, reveries, pleasant
fantasies, feelings of well-being,
euphoria, mood
9
10. How:
Effect on perception and cognition
20
10
0
Differecnes in ms
-10
10
n
MID (n=16,16)
SDAT (n=18,17)
-20
-30
30 Nicergoline
-40
*
(8 weeks, 20x30mg)
**
-50
50 * p<0 05 t-test
p<0.05 t test vs. Placebo
N1 P2 N2 P300 ** p<0.01
Shortening of latency points toward cognitive
improvement 10
11. Where … (electrode)
Topographic map
(19 electrodes,
l t d
interpolated)
Depicts changes
(drug/placebo) or
significance (p values)
Univariate or several
variables
11
14. At which dose …
DIFFERENCES BETWEEN DRUG AND
DRUG-AND
PLACEBO-INDUCED CHANGES IN ABSULUTE
POWER VARIABLES AFTER 0.1mg, 0.2 mg AND
0.4mg SURICLONE AND 1mg ALPRAZOLAM 2
g g
HOURS
AFTER ORAL ADMINSTRATION (N=15)
Saletu et al 1994
al,
14
16. Other advantages
Unobtrusive
No radiation or additional exposure to drugs
ethically without problems
Short measurement without too many y
burdens
Effects with n = 10 .. 40
16
17. Key-Lock Principle (Saletu)
Representative drugs of the main
psychopharmacological classes i d
h h l i l l induce – as
compared to placebo – significant and typical
changes i th EEG
h in the
In many variables these changes are
opposite to differences between p
pp patients
suffering from mental disorders
17
21. EEG in the development cycle
Dose-efficacy relations
Preclinical
Therapeutic outcome
Relation to clinical
variables
Phase I
R d t EEG
Rodent
Rodent sleep
Translational Phase II
hypotheses
yp
21
22. Data quality
EEG is a very sensitive instrument
Data quality must be high and constant
q y g
Proper patching
Proper devices
Avoidance of artifacts
Subject must be awake
No disturbance
22
25. The Siesta Group
Clinical trial service provider
specialised in sleep and/or
Electroencephalography (EEG)
Large scientific background,
p y
physician co-owned
Tight network of partners and
associates
Headquarter :
Vienna, Austria, Europe
US operations through Philips-
Respironics
Developer of Somnolyzer24x7,
purchased by Philips Respironics
Philips-Respironics,
Feb 2010
25
26. Pharmaco-EEG: Services we offer
Consulting and protocol development
Trial feasibility and set-up
Site identification, preparation, training, management
p p g g
Centralized data analysis, such as sleep scoring,
EEG spectral analysis, and other endpoint calculation
PSG and EEG data quality monitoring and
harmonization
Biomarker research and exploratory data analysis
Device rentals
26
27. Pharmaco-EEG: Our strengths
Covering full spectrum of pharmaco-EEG
High level quality control
g q y
Superior artefact treatment
>30 years of experience
State-of-the-art technology
Top experts in psychiatry and neurology
Following latest IPEG standards
g
27
28. Scoring/Reading center – data flow
Endpoint variable
Sponsor table
CRF
S esta
Siesta
reports
Online SDex
PSG/EEG data (edf)
Inv. site
Inv. site
Main variables Inv. site Secure ftp
Inv.
Inv site
28
29. Special offer for US trials:
Partnership with Community Research
Dedicated Clinical Research Site (Since 1995)
Three Locations in Greater Cincinnati, OH
Th L ti i G t Ci i ti
60 Bed Phase 1 Unit Located on Hospital Campus
Phase 1 Experience Includes: First-in-Human, SAD/MAD, Patient/Special
Populations,
Populations Food Effect EEG/PSG Vaccines
Effect, EEG/PSG,
18 Year History of Excellence in Sleep Research
8 Bed Sleep Laboratory in Phase 1 Unit; (14 total PSG beds)
Sleep Studies Include: Insomnia, Narcolepsy, Sl
Sl St di I l d I i N l Sleep A
Apnea, R tl
Restless L
Leg
Syndrome, Shift Work Sleep Disorder, Non-Restorative Sleep Syndrome,
Jet Lag, Sleep and Human Performance
Recruitment Database of 60,000 NHV and Patient Populations
60 000
CNS Populations: Depression, Bipolar, GAD, OCD, Binge Eating,
Alzheimer's Disease, Parkinson's Disease, Pain (Chronic, OA/RA,
Fibromyalgia, Migraine)
y g g )
Excellent Inspection History: 3 FDA Audits Without 483 Findings
29
30. Your advantage
EEG expertise, investigator, and trial
manager in one
Utmost quality through joint SOPs
Reduced costs and quicker study start
Combined experience in almost every field of
p y
CNS-active drugs
30
31. Our offer until March 31, 2013
Free Feasibility:
Costs d ff t f i l di
C t and efforts for including EEG
You provide: real or mock protocol
We
W provide: a cost estimate for additional
id t ti t f dditi l
EEG costs
31
32. Contact
The Siesta Group
Vienna,
Vienna Austria:
Phone: +43 1 9551213
info@thesiestagroup.com
@ g p
www.thesiestagroup.com
USA: Philips Respironics
Bend, Oregon:
Phone: 1-541-598-3800, 1-800-685-2999
respironics.minimitter@philips.com
clinicaltrials.respironics.com
clinicaltrials respironics com
32
33. References
Riba J, Anderer P, Morte A, Urbano G, Jané F, Saletu B, Barbanoj MJ.:
Topographic pharmaco-EEG mapping of the effects of the South American
psychoactive b
h ti beverage ayahuasca i h lth volunteers. B J Cli Ph
h in healthy l t Br Clin Pharmacol. l
2002 Jun;53(6):613-28.
Saletu B, Anderer P, Saletu-Zyhlarz GM.: EEG topography and tomography
(LORETA) in the classification and evaluation of the pharmacodynamics of
psychotropic drugs. Clin EEG Neurosci. 2006 Apr;37(2):66-80.
Saletu B, Saletu-Zyhlarz G, Anderer P, Brandstätter N, Frey R, Gruber G,
Klösch G, Mandl M, Grünberger J, Linzmayer L.: Nonorganic insomnia in
, , g , y g
generalized anxiety disorder. 2. Comparative studies on sleep, awakening,
daytime vigilance and anxiety under lorazepam plus diphenhydramine
(Somnium) versus lorazepam alone, utilizing clinical, polysomnographic and
EEG mapping methods Neuropsychobiology 1997;36(3):130 52
methods. Neuropsychobiology. 1997;36(3):130-52.
Saletu B, Grünberger J, Linzmayer L, Semlitsch HV, Anderer P, Chwatal K.:
Pharmacokinetic and -dynamic studies with a new anxiolytic, suriclone, utilizing
EEG mapping and psychometry Br J Clin Pharmacol 1994 Feb;37(2):145 56.
psychometry. Pharmacol. Feb;37(2):145-56
33