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The lateralization of intrinsic networks in the aging brain implicates the effects of cognitive training

By Cheng eLuo, Xingxing eZhang, Xinyi eCao, Yulong eGan, Ting eLi, Yan eCheng, Weifang eCao, Lijuan eJiang, Dezhong eYao and Chunbo eLi and Chunbo eLi

Abstract

Lateralization of function is an important organization of human brain. The distribution of intrinsic networks in the resting brain is strongly related to the cognitive function, gender and age. In this study, the longitudinal design with one year duration was used to evaluate the cognitive training effects on the lateralization of intrinsic networks among healthy older adults. The subjects were divided into two groups randomly: one with multi-domain cognitive training in three month, the other as a wait-list control group. Resting state fMRI data were acquired before training and one year after training. We analyzed the functional lateralization in ten common resting state fMRI networks. We observed statically significant training effects on the lateralization of two important RSNs related to high-level cognition: right- and left- frontoparietal networks. Especially, the lateralization of left-frontoparietal network were retained well in training group, but decreased in control group. The increased lateralization with aging was observed on the cerebellum network, in which the lateralization was significantly increased in control group although the same change tendency was observed in training group. These findings indicate that the lateralization of the high-level cognitive intrinsic networks is sensitive to the multi-domain cognitive training. This study provides a neuroimaging evidence to support that the cognitive training should have advantages to the cognitive decline in healthy older adults

Topics: Aging, fMRI, lateralization, cognitive training, functional network, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Publisher: Frontiers Media S.A.
Year: 2016
DOI identifier: 10.3389/fnagi.2016.00032
OAI identifier: oai:doaj.org/article:7aeca477a08b49acbc1a044afb860098
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