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Abstract #1328

The Effect of Behavioral Performance during Multistep Cognitive Processing on the Extraction of Age-Related Changes from Resting State Network Activation

Toshiharu Nakai 1 , Ayuko Tanaka 1 , Mitsunobu Kunimi 1 , Sachiko Kiyama 1 , and Annabel SH Chen 2

1 Neuroimaging & Neuroinformatics, National Center for Geriatrics and Gerontology, Ohbu, Aichi, Japan, 2 Division of Psychology, School of Humanities and Social Sciences, Nanyang Technological University, Singapore, Singapore

In order to establish a classification of elderly with potential cognitive decline, we investigated the effect of introducing behavioral performance on extracting age-related change from resting state network (RSN) activities. Two types of covariates derived from one goal-oriented operation, but representing different steps were employed. The age-related change was differently affected in the anterior part of default mode network depending on the covariate, while such change was not observed in its posterior part. It may be suggesting that classification of RSN activities in elderly may be related to the performance level of the subjects.

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