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1.  Klimesch,,W.,(1999).,EEG,alpha,and,theta,oscilla9ons,reflect,cogni9ve,and,memory,performance:,a,review,and,analysis.,Brain,Research.,Brain,Research,Reviews,,29(2E3),,169–95.,
Retrieved,from,hJp://www.ncbi.nlm.nih.gov/pubmed/10209231,
2.  Fuster,,J.,M.,,&,Bressler,,S.,L.,(2012).,Cognit,ac9va9on:,a,mechanism,enabling,temporal,integra9on,in,working,memory.,Trends'in'Cogni,ve'Sciences,,16(4),,207–18.,doi:10.1016/
j.9cs.2012.03.005,
3.  Gevins,,A.,,Smith,,M.,E.,,McEvoy,,L.,,&,Yu,,D.,(1997).,HighEresolu9on,EEG,mapping,of,cor9cal,ac9va9on,related,to,working,memory:,effects,of,task,difficulty,,type,of,processing,,
and,prac9ce.,Cerebral'Cortex'(New'York,'N.Y. :'1991),,7(4),,374–85.,Retrieved,from,hJp://www.ncbi.nlm.nih.gov/pubmed/9177767,
4.  Delorme,,A.,,&,Makeig,,S.,(2004).,EEGLAB:,an,open,source,toolbox,for,analysis,of,singleEtrial,EEG,dynamics,including,independent,component,analysis.,Journal'of'Neuroscience'
Methods,,134(1),,9–21.,doi:10.1016/j.jneumeth.2003.10.009,
5.  Mullen,,T.,,Kothe,,C.,,Chi,,Y.,M.,,Ojeda,,A.,,Kerth,,T.,,Makeig,,S.,,Cauwenberghs,,G.,,Jung,,T.EP.,(2013).,RealE9me,modeling,and,3D,visualiza9on,of,source,dynamics,and,connec9vity,
using,wearable,EEG.,Proceedings,of,the,IEEE,EMBS.,Ins9tute,of,Electrical,and,Electronics,Engineers,Engineering,Medicine,and,Biology,Society,,2013,,2184E7.,doi:,10.1109/EMBC.
2013.6609968,,
6.  Jung,,T.EP.,,Makeig,,S.,,McKeown,,M.,J.,,Bell,,A.,J.,,Lee,,T.EW.,,&,Sejnowski,,T.,J.,(2001).,Imaging,Brain,Dynamics,Using,Independent,Component,Analysis.,Proceedings,of,the,IEEE.,
Ins9tute,of,Electrical,and,Electronics,Engineers,,89(7),,1107–1122.,doi:10.1109/5.939827,
7.  Palmer,,J.,A.,,KreutzEDelgado,,K.,,&,Makeig,,S.,(2006).,SuperEGaussian,mixture,source,model,for,ICA.,In,Independent'Component'Analysis'and'Blind'Signal'Separa,on,(pp.,
854E861).,Springer,Berlin,Heidelberg.,
Motion Capture Results
•  Mocap data showed variability among throws in terms of arm trajectory,
speed, acceleration, hip/body rotation, and preparatory motions
Mobile brain/body imaging: Combined EEG and motion capture
during a dart throwing visuospatial working memory task
Robert J. Gougelet1,2, Avital Berger1, Chase Cummings1, Justin Le1, Alexander Wooten1,
Scott Makeig2
1Department of Cognitive Science, UCSD
2Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD
•  Neural oscillations may provide a neural syntax for perceptual and action
memory representation, playing a functional role in cognition
•  EEG theta (3 – 8 Hz) increases and alpha (8 – 12 Hz) decreases are
prominent during working memory delay periods1, perhaps encoding
action and perception features of the task2
•  Theta sources have been identified in the frontal cortex, e.g. anterior
cingulate cortex (ACC), and/or dorsolateral prefrontal cortex (dlPFC)3
•  Alpha sources have been identified in posterior cortex, including occipital
cortex, parietal cortex, and other areas1
•  Do these findings generalize to full-body motion tasks?
Introduction
•  Subjects performed a novel, visuospatial working memory task by
throwing darts to remembered targets
•  Targets were presented using Simulation and Neuroscience Application
Platform (SNAP) and either remained on the screen (Target Present
condition) or disappeared (Target Absent condition) for a delay period
•  Subjects stood, fixated on a center crosshair, and waited for a variable
integer 3 – 9 sec delay before throwing to target in both conditions
•  Multiple data streams were simultaneously recorded using Lab
Streaming Layer (LSL) from UCSD undergraduates (n = 10 )
•  EEG data were analyzed using EEGLAB4 and cleaned using Artifact
Subspace Reconstruction (ASR)5 and decomposed into maximally
independent components6 via Adaptive Mixture ICA (AMICA)7
Methods
Behavioral Results
•  Precision and accuracy of subjects’ throws decreased when throwing
from memory, particularly as delay length increased
EEG Results
•  Component equivalent dipole sources were localized to frontal and
posterior regions, and clustered using k-means on Euclidian distance
•  The first theta cluster in frontal cortex showed greater activity during the
Target Abs condition, whereas the second frontal theta cluster showed
equal activity during both conditions; statistical tests forthcoming
•  Posterior clusters exhibited alpha suppression, with greater suppression
during Target Pres condition; statistical tests forthcoming
This research was made possible by a generous grant from The Swartz Foundation Society for Neuroscience, 2014
Discussion
Target
disappears
•  Multimodal brain/body imaging is feasible, providing an ecological
extension of previous working memory findings
•  EEG and behavioral findings from previous literature were reproduced,
although the distinct activity of different frontal clusters suggests two
possible theta sources, one in the ACC and another in dlPFC
•  Future work will examine the extent to which these dynamics evolve
over time, and how behavior, mocap, and EEG interact, perhaps
allowing us to decode perception/action memory features of the task
References
Towards,target,
Throw,trajectory,
Preparatory,loop,
Subject,A,
Subject,B,
Body,rota9on,

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SFN 2014 Poster - Robert Gougelet

  • 1. 1.  Klimesch,,W.,(1999).,EEG,alpha,and,theta,oscilla9ons,reflect,cogni9ve,and,memory,performance:,a,review,and,analysis.,Brain,Research.,Brain,Research,Reviews,,29(2E3),,169–95., Retrieved,from,hJp://www.ncbi.nlm.nih.gov/pubmed/10209231, 2.  Fuster,,J.,M.,,&,Bressler,,S.,L.,(2012).,Cognit,ac9va9on:,a,mechanism,enabling,temporal,integra9on,in,working,memory.,Trends'in'Cogni,ve'Sciences,,16(4),,207–18.,doi:10.1016/ j.9cs.2012.03.005, 3.  Gevins,,A.,,Smith,,M.,E.,,McEvoy,,L.,,&,Yu,,D.,(1997).,HighEresolu9on,EEG,mapping,of,cor9cal,ac9va9on,related,to,working,memory:,effects,of,task,difficulty,,type,of,processing,, and,prac9ce.,Cerebral'Cortex'(New'York,'N.Y. :'1991),,7(4),,374–85.,Retrieved,from,hJp://www.ncbi.nlm.nih.gov/pubmed/9177767, 4.  Delorme,,A.,,&,Makeig,,S.,(2004).,EEGLAB:,an,open,source,toolbox,for,analysis,of,singleEtrial,EEG,dynamics,including,independent,component,analysis.,Journal'of'Neuroscience' Methods,,134(1),,9–21.,doi:10.1016/j.jneumeth.2003.10.009, 5.  Mullen,,T.,,Kothe,,C.,,Chi,,Y.,M.,,Ojeda,,A.,,Kerth,,T.,,Makeig,,S.,,Cauwenberghs,,G.,,Jung,,T.EP.,(2013).,RealE9me,modeling,and,3D,visualiza9on,of,source,dynamics,and,connec9vity, using,wearable,EEG.,Proceedings,of,the,IEEE,EMBS.,Ins9tute,of,Electrical,and,Electronics,Engineers,Engineering,Medicine,and,Biology,Society,,2013,,2184E7.,doi:,10.1109/EMBC. 2013.6609968,, 6.  Jung,,T.EP.,,Makeig,,S.,,McKeown,,M.,J.,,Bell,,A.,J.,,Lee,,T.EW.,,&,Sejnowski,,T.,J.,(2001).,Imaging,Brain,Dynamics,Using,Independent,Component,Analysis.,Proceedings,of,the,IEEE., Ins9tute,of,Electrical,and,Electronics,Engineers,,89(7),,1107–1122.,doi:10.1109/5.939827, 7.  Palmer,,J.,A.,,KreutzEDelgado,,K.,,&,Makeig,,S.,(2006).,SuperEGaussian,mixture,source,model,for,ICA.,In,Independent'Component'Analysis'and'Blind'Signal'Separa,on,(pp., 854E861).,Springer,Berlin,Heidelberg., Motion Capture Results •  Mocap data showed variability among throws in terms of arm trajectory, speed, acceleration, hip/body rotation, and preparatory motions Mobile brain/body imaging: Combined EEG and motion capture during a dart throwing visuospatial working memory task Robert J. Gougelet1,2, Avital Berger1, Chase Cummings1, Justin Le1, Alexander Wooten1, Scott Makeig2 1Department of Cognitive Science, UCSD 2Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD •  Neural oscillations may provide a neural syntax for perceptual and action memory representation, playing a functional role in cognition •  EEG theta (3 – 8 Hz) increases and alpha (8 – 12 Hz) decreases are prominent during working memory delay periods1, perhaps encoding action and perception features of the task2 •  Theta sources have been identified in the frontal cortex, e.g. anterior cingulate cortex (ACC), and/or dorsolateral prefrontal cortex (dlPFC)3 •  Alpha sources have been identified in posterior cortex, including occipital cortex, parietal cortex, and other areas1 •  Do these findings generalize to full-body motion tasks? Introduction •  Subjects performed a novel, visuospatial working memory task by throwing darts to remembered targets •  Targets were presented using Simulation and Neuroscience Application Platform (SNAP) and either remained on the screen (Target Present condition) or disappeared (Target Absent condition) for a delay period •  Subjects stood, fixated on a center crosshair, and waited for a variable integer 3 – 9 sec delay before throwing to target in both conditions •  Multiple data streams were simultaneously recorded using Lab Streaming Layer (LSL) from UCSD undergraduates (n = 10 ) •  EEG data were analyzed using EEGLAB4 and cleaned using Artifact Subspace Reconstruction (ASR)5 and decomposed into maximally independent components6 via Adaptive Mixture ICA (AMICA)7 Methods Behavioral Results •  Precision and accuracy of subjects’ throws decreased when throwing from memory, particularly as delay length increased EEG Results •  Component equivalent dipole sources were localized to frontal and posterior regions, and clustered using k-means on Euclidian distance •  The first theta cluster in frontal cortex showed greater activity during the Target Abs condition, whereas the second frontal theta cluster showed equal activity during both conditions; statistical tests forthcoming •  Posterior clusters exhibited alpha suppression, with greater suppression during Target Pres condition; statistical tests forthcoming This research was made possible by a generous grant from The Swartz Foundation Society for Neuroscience, 2014 Discussion Target disappears •  Multimodal brain/body imaging is feasible, providing an ecological extension of previous working memory findings •  EEG and behavioral findings from previous literature were reproduced, although the distinct activity of different frontal clusters suggests two possible theta sources, one in the ACC and another in dlPFC •  Future work will examine the extent to which these dynamics evolve over time, and how behavior, mocap, and EEG interact, perhaps allowing us to decode perception/action memory features of the task References Towards,target, Throw,trajectory, Preparatory,loop, Subject,A, Subject,B, Body,rota9on,