MIT CogNet, The Brain Sciences ConnectionFrom the MIT Press, Link to Online Catalog
SPARC Communities
Subscriber : Stanford University Libraries » LOG IN

space

Powered By Google 
Advanced Search

 

Topography of Source Memory Based on EEG Network Analysis

 B. Luber, C. Trott, D. Friedman and J. Moeller
  
 

Abstract:
Abstract: Episodic memory was investigated in a recognition memory paradigm involving source judgments. EEG was recorded from 32 sites on 36 subjects. Topographic ERP analysis revealed two temporally distinct old/new effects: one with a posterior distribution and the other with a right frontal orientation. We applied Subprofile Scaling Model (SSM) to EEG spectral data to reveal the relationship between patterns of regional interactions (network) and individual task performance. During the study phase of the experiment, subject viewed lists of noun pairs contained within sentences. Subjects studied two temporally distinct lists of sentences. During test, subjects saw old and novel nouns and made old/new judgments, followed by source judgements. Alpha power in lower (7-10 Hz: aL) and upper (10-13.3 Hz: aU) bands were analyzed. In a contrast of correct old and new judgements, SSM analysis of aL revealed a network whose subject scores were significantly correlated with individual differences in recognizing old items. Alpha attenuation in posterior sites was associated with higher accuracy. In a contrast of correct versus incorrect source attribution, analysis of aU revealed a network whose subject scores were significantly correlated with accuracy in distinguishing old and new items. Alpha attenuation in frontal sites was associated with higher accuracy. Topographic spectral analysis suggests that subject accuracy in recognition memory is specifically related to activity in a bilateral frontal network associated with correct source attribution.

 
 


© 2010 The MIT Press
MIT Logo