Using single-trial EEG to predict and analyze subsequent memory.

TitleUsing single-trial EEG to predict and analyze subsequent memory.
Publication TypeJournal Article
Year of Publication2014
AuthorsNoh E, Herzmann G, Curran T, de Sa VR
JournalNeuroimage
Volume84
Pagination712-23
Date Published2014 Jan 01
ISSN1095-9572
KeywordsAdolescent, Adult, Brain, Electroencephalography, Humans, Male, Memory, Young Adult
Abstract

We show that it is possible to successfully predict subsequent memory performance based on single-trial EEG activity before and during item presentation in the study phase. Two-class classification was conducted to predict subsequently remembered vs. forgotten trials based on subjects' responses in the recognition phase. The overall accuracy across 18 subjects was 59.6% by combining pre- and during-stimulus information. The single-trial classification analysis provides a dimensionality reduction method to project the high-dimensional EEG data onto a discriminative space. These projections revealed novel findings in the pre- and during-stimulus periods related to levels of encoding. It was observed that the pre-stimulus information (specifically oscillatory activity between 25 and 35Hz) -300 to 0ms before stimulus presentation and during-stimulus alpha (7-12Hz) information between 1000 and 1400ms after stimulus onset distinguished between recollection and familiarity while the during-stimulus alpha information and temporal information between 400 and 800ms after stimulus onset mapped these two states to similar values.

DOI10.1016/j.neuroimage.2013.09.028
Alternate JournalNeuroimage
PubMed ID24064073
PubMed Central IDPMC3874086
Grant ListR01 MH064812 / MH / NIMH NIH HHS / United States
MH64812 / MH / NIMH NIH HHS / United States
Category: 
IRG Funded