Title | Using single-trial EEG to predict and analyze subsequent memory. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Noh E, Herzmann G, Curran T, de Sa VR |
Journal | Neuroimage |
Volume | 84 |
Pagination | 712-23 |
Date Published | 2014 Jan 01 |
ISSN | 1095-9572 |
Keywords | Adolescent, 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. |
DOI | 10.1016/j.neuroimage.2013.09.028 |
Alternate Journal | Neuroimage |
PubMed ID | 24064073 |
PubMed Central ID | PMC3874086 |
Grant List | R01 MH064812 / MH / NIMH NIH HHS / United States MH64812 / MH / NIMH NIH HHS / United States |
Using single-trial EEG to predict and analyze subsequent memory.
Category:
IRG Funded