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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