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Analyzing and Visualizing Single-Trial Event-Related Potentials

Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
1998 Neural Information Processing Systems  
This study applies a linear decomposition tool, Independent Component Analysis (ICA) [1] , to multichannel single-trial EEG records to derive spatial filters that decompose single-trial EEG epochs into  ...  Event-related potentials (ERPs), are portions of electroencephalographic (EEG) recordings that are both time-and phase-locked to experimental events.  ...  Single-trial analysis, on the other hand, can avoid problems due to time and/or phase shifts and can potentially reveal much richer information about event-related brain dynamics in endogenous ERPs, but  ... 
dblp:conf/nips/JungMWTCS98 fatcat:wimywuonznbhbdvyy57bbt7itu

Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface

Qibin Zhao, Liqing Zhang
2007 Computational Intelligence and Neuroscience  
filters; but it didn't consider temporal structures of event-related potentials which may be very important for single-trial EEG classification.  ...  Computer simulations on real experimental data indicate that independent residual analysis (IRA) method can provide efficient temporal features.  ...  In order to extract both temporal and spatial features of event-related potential, we used combination of IRA and CSP methods followed by a feature selection procedure according to mutual information of  ... 
doi:10.1155/2007/37695 pmid:18354735 pmcid:PMC2267213 fatcat:eclgex2igred7gpa2hc4mtnlh4

Mining event-related brain dynamics

Scott Makeig, Stefan Debener, Julie Onton, Arnaud Delorme
2004 Trends in Cognitive Sciences  
The new approach combines independent component analysis (ICA), time/frequency analysis, and trial-by-trial visualization that measures EEG source dynamics without requiring an explicit head model.  ...  ERP: event-related potential, a 1-D time series of mean potential deviations (in mV) from baseline.  ...  Acknowledgements Supported by The Swartz Foundation and the invaluable collaboration of Terrence J. Sejnowski and Anthony J.  ... 
doi:10.1016/j.tics.2004.03.008 pmid:15120678 fatcat:hm7kvglh3zanlpphq7jikdcivi

Analysis and visualization of single-trial event-related potentials

Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
2001 Human Brain Mapping  
In this study, a linear decomposition technique, independent component analysis (ICA), is applied to single-trial multichannel EEG data from event-related potential (ERP) experiments.  ...  Applying ICA and ERP image visualization to the analysis of sets of single trials from event-related EEG (or MEG) experiments can increase the information available from ERP (or ERF) data.  ...  ACKNOWLEDGMENTS This report was supported in part by a grant ONR.  ... 
doi:10.1002/hbm.1050 pmid:11559961 fatcat:pqguddeyifdwpeivpbzwkwgh5e

Let's face it, from trial to trial: Comparing procedures for N170 single-trial estimation

Maarten De Vos, Jeremy D. Thorne, Galit Yovel, Stefan Debener
2012 NeuroImage  
The present study therefore compared four frequently-used single-trial data filtering procedures: raw sensor amplitudes, regression-based estimation, bandpass filtering, and independent component analysis  ...  High-density EEG data were recorded from 20 healthy participants in a face recognition task and were analyzed with a focus on the face-selective N170 single-trial event-related potential.  ...  Acknowledgments Research supported by Research Council KUL: GOA MaNet and by the Flemish Government: FWO: G.0427.10N (Integrated EEG-fMRI). MDV is supported by an Alexander von Humboldt stipend.  ... 
doi:10.1016/j.neuroimage.2012.07.055 pmid:22877577 fatcat:sz7edrvwmrerhkkzh2g33lfd6a

Evoked potentials and stages of information processing: Methods of analysis

Jonathan Vaughan, Douglas J. Herrmann, Gregory Bell
1987 Behavoir research methods, instruments & computers  
The use of principal components analysis (peA) for the study of evoked-response data may be complicated by variations from one trial to another in the latency of underlying brain events.  ...  The effect of such variability is investigated by simulation of these latency-varying events and by analysis of evoked responses in a behavioral task, the Sternberg memory search task, which is well known  ...  The use of principal components analysis (peA) for the study of evoked-response data may be complicated by variations from one trial to another in the latency of underlying brain events.  ... 
doi:10.3758/bf03203776 fatcat:6f6h5a7fqfd2zc5zn5irvsa4hu

Estimating Granger causality after stimulus onset: A cautionary note

Xue Wang, Yonghong Chen, Mingzhou Ding
2008 NeuroImage  
Keywords Granger causality; single trial analysis; event related potentials; ASEO Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication.  ...  Special emphasis is placed on the important role played by single trial analysis of eventrelated potentials in experimentally establishing the main conclusion.  ...  Acknowledgements This research was supported by NIH grants MH71620 and MH79388.  ... 
doi:10.1016/j.neuroimage.2008.03.025 pmid:18455441 pmcid:PMC2661098 fatcat:3mrpluwqw5felkoxo52uyywkzi

Using ICA for removal of ocular artifacts in EEG recorded from blind subjects

Arthur Flexer, Herbert Bauer, Jürgen Pripfl, Georg Dorffner
2005 Neural Networks  
One of the standard applications of Independent Component Analysis (ICA) to EEG is removal of artifacts due to movements of the eye bulbs.  ...  Short blinks as well as slower saccadic movements are removed by subtracting respective independent components (ICs).  ...  An event-related potential (ERP) is the electro cortical potential measurable in the EEG before, during and after sensory, motor or mental events.  ... 
doi:10.1016/j.neunet.2005.03.012 pmid:15990276 fatcat:hgapidbn5rhbrkvfoub3rpjhfa

Mining EEG–fMRI using independent component analysis

2009 International Journal of Psychophysiology  
Independent component analysis (ICA) is a multivariate approach that has become increasingly popular for analyzing brain imaging data.  ...  In contrast to the widely used general linear model (GLM) that requires the user to parameterize the brain's response to stimuli, ICA allows the researcher to explore the factors that constitute the data  ...  Acknowledgment This work was supported by a grant from the L.  ... 
doi:10.1016/j.ijpsycho.2008.12.018 pmid:19223007 pmcid:PMC2693483 fatcat:y6a3uh7abbawpdcgmv7yzdjwka

Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders

Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
Our approach combines electroencephalography (EEG) and eye-tracking measures to generate single-trial fixation-related potentials (sFRPs) and formulate an optimization problem to extract naming-related  ...  neural components, informative of group differences.  ...  to extract Event-Related Potentials.  ... 
doi:10.32473/flairs.v34i1.128446 fatcat:iqqnq3ilyvh6pi4v6ea6iekgb4

Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging

Vaughn R. Steele, Nathaniel E. Anderson, Eric D. Claus, Edward M. Bernat, Vikram Rao, Michal Assaf, Godfrey D. Pearlson, Vince D. Calhoun, Kent A. Kiehl
2016 NeuroImage  
Fewer trials and participants were required for measures where additional data reduction techniques (i.e., principal component analysis and independent component analysis) were implemented.  ...  Error-related brain activity has become an increasingly important focus of cognitive neuroscience research utilizing both event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI  ...  The two analysis techniques for fMRI include region of interest (ROI) analysis and independent component analysis (ICA).  ... 
doi:10.1016/j.neuroimage.2016.02.046 pmid:26908319 pmcid:PMC4860744 fatcat:3anbmie52bff5bukhjh2mg5p2a

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

Arnaud Delorme, Scott Makeig
2004 Journal of Neuroscience Methods  
artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap  ...  We have developed a toolbox and graphic user interface, EEGLAB, running under the cross-platform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG  ...  The runica() function itself was written by one of us (SM) building on core ICA code contributed by Tony Bell and Tewon Lee.  ... 
doi:10.1016/j.jneumeth.2003.10.009 pmid:15102499 fatcat:jwqjdqh7gfervchai45mb2awri

Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex [chapter]

Yijun Wang, Scott Makeig
2009 Lecture Notes in Computer Science  
Using parietal EEG components extracted by independent component analysis (ICA), we obtained an average accuracy of 80.25% on four subjects in binary single-trial EEG classification (left versus right)  ...  To this end, we recorded whole-head EEG with a delayed saccade-or-reach task and found direction-related modulation of event-related potentials (ERPs) in the PPC.  ...  Spatial Filtering Independent component analysis (ICA) has been widely used in EEG analysis [12] [13] [14] .  ... 
doi:10.1007/978-3-642-02812-0_52 fatcat:dyvjv52gevawtpoxahdk7itrbu

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing

A.C. Tang, M.T. Sutherland, C.J. McKinney, Jing-Yu Liu, Yan Wang, L.C. Parra, A.D. Gerson, P. Sajda
2006 The 2006 IEEE International Joint Conference on Neural Network Proceedings  
Event-related potentials (ERPs) recorded at the scalp are indicators of brain activity associated with eventrelated information processing; hence they may be suitable for the assessment of changes in cognitive  ...  Finally, using backpropagation neural networks as classifiers, we show that these single-trial ERPs from specific brain regions can be used to determine moment-to-moment changes in cognitive processing  ...  Although the inverse problem has no unique solution, blind source separation (BSS) and independent component analysis (ICA) algorithms [2] - [6] can be used to "reduce" the inverse problem by decomposing  ... 
doi:10.1109/ijcnn.2006.246853 dblp:conf/ijcnn/TangSMLWPGS06 fatcat:etdpvzkidze4desqx2doqthdme

Decomposition Methods for Detailed Analysis of Content in ERP Recordings [chapter]

Vasiliki Iordanidou, Kostas Michalopoulos, Vangelis Sakkalis, Michalis Zervakis
2009 Lecture Notes in Computer Science  
The processes giving rise to an event related potential engage several evoked and induced oscillatory components, which reflect phase or non-phase locked activity throughout the multiple trials.  ...  However, the effective analysis of components is hindered by many factors including the complexity of the EEG signal and its variation over the trials.  ...  Acknowledgments Present work was supported by Biopattern, IST EU funded project, Proposal/Contract no: 508803. The authors would like to thank Prof.  ... 
doi:10.1007/978-3-642-04277-5_37 fatcat:rey4ruycofgzlepzdd6x2xq6xa
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