期刊论文详细信息
NEUROBIOLOGY OF AGING 卷:54
Resting-state networks associated with cognitive processing show more age-related decline than those associated with emotional processing
Article
Nashiro, Kaoru1  Sakaki, Michiko2  Braskie, Meredith N.3  Mather, Mara1,4 
[1] Univ Southern Calif, Leonard Davis Sch Gerontol, Los Angeles, CA USA
[2] Univ Reading, Reading, Berks, England
[3] Univ Southern Calif, Imaging Genet Ctr, Keck Sch Med, Mark & Mary Stevens Neuroimaging & Informat Inst, Los Angeles, CA 90033 USA
[4] Univ Southern Calif, Dept Psychol, Los Angeles, CA 90089 USA
关键词: Aging;    Resting-state network;    Functional connectivity;    fMRI;    Dedifferentiation;    Emotion;   
DOI  :  10.1016/j.neurobiolaging.2017.03.003
来源: Elsevier
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【 摘 要 】

Correlations in activity across disparate brain regions during rest reveal functional networks in the brain. Although previous studies largely agree that there is an age-related decline in the default mode network, how age affects other resting-state networks, such as emotion-related networks, is still controversial. Here we used a dual-regression approach to investigate age-related alterations in resting-state networks. The results revealed age-related disruptions in functional connectivity in all 5 identified cognitive networks, namely the default mode network, cognitive-auditory, cognitive-speech (or speech-related somatosensory), and right and left frontoparietal networks, whereas such age effects were not observed in the 3 identified emotion networks. In addition, we observed age-related decline in functional connectivity in 3 visual and 3 motor/visuospatial networks. Older adults showed greater functional connectivity in regions outside 4 out of the 5 identified cognitive networks, consistent with the dedifferentiation effect previously observed in task-based functional magnetic resonance imaging studies. Both reduced within-network connectivity and increased out-of-network connectivity were correlated with poor cognitive performance, providing potential biomarkers for cognitive aging. (C) 2017 Elsevier Inc. All rights reserved.

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