Inter Subject Correlation in EEG
This is matlab code to compute intersubject correlation (ISC) in EEG
using correlated component analysis,
as described in the references below
(description closest to the present code is in
Cohen and Parra, 2016
isceeg.m -- main code, keeping clutter to a minimum.
You will need these files to run this code:
topoplot.m -- stand-alone version of EEGlab's popular display function (does not require EEGlab).
BioSemi64.loc -- BioSemi location file for topoplot
notBoxPlot.m -- stand-alone version of Rob Campbell's scatter plot (does not require suplementary functions)
EEGVolume.mat -- Samantha Cohen's EEG data with 64 electrodes from 18 subjects while watching this video. (Here's a list of all stimuli).
Other ISC files:
are all of the audiovisual (AV), audiovisual scrambled (AVsc), and audio only (A Only) videos used in
Cohen and Parra (2016)
(The visual only (V Only) stimuli from this paper are identical to the audiovisual stimuli except they are played silently.)
Find papers here.
Samantha S. Cohen, Lucas C. Parra, Memorable audiovisual narratives synchronize sensory and supramodal neural responses, eNeuro, 3(6), November 2016.
Agustin Petroni, Samantha Cohen, Nicolas Langer, Simon Henin, Tamara
Vanderwal, Michael P. Milham, Lucas C. Parra, Children, particularly
males, exhibit higher intersubject correlation of neural responses to
natural stimuli than adults", in review. preprint
Andreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, Lars Kai Hansen, Measuring engagement in a classroom: Synchronised neural recordings during a video presentation. in review.
Jason Ki, Simon Kelly, Lucas C. Parra, Attention strongly modulates
reliability of neural responses to naturalistic narrative stimuli.
Journal of Neuroscience, 36 (10), 3092-3101.
Jacek P. Dmochowski, Matthew A. Bezdek, Brian P. Abelson, John S.
Johnson, Eric H. Schumacher, Lucas C. Parra, Audience preferences are
predicted by temporal reliability of neural processing, Nature
Communication, 5567, July 2014.
Jacek P. Dmochowski, Paul Sajda, Joao Dias, Lucas C. Parra, Components
of ongoing EEG with high correlation point to emotionally-laden attention
-- a possible marker of engagement?, Frontiers in Human Neuroscience,
6:112, April 2012.