Literature DB >> 25514518

The effects of age on resting state functional connectivity of the basal ganglia from young to middle adulthood.

Peter Manza1, Sheng Zhang2, Sien Hu2, Herta H Chao3, Hoi-Chung Leung4, Chiang-Shan R Li5.   

Abstract

The basal ganglia nuclei are critical for a variety of cognitive and motor functions. Much work has shown age-related structural changes of the basal ganglia. Yet less is known about how the functional interactions of these regions with the cerebral cortex and the cerebellum change throughout the lifespan. Here, we took advantage of a convenient sample and examined resting state functional magnetic resonance imaging data from 250 adults 18 to 49 years of age, focusing specifically on the caudate nucleus, pallidum, putamen, and ventral tegmental area/substantia nigra (VTA/SN). There are a few main findings to report. First, with age, caudate head connectivity increased with a large region of ventromedial prefrontal/medial orbitofrontal cortex. Second, across all subjects, pallidum and putamen showed negative connectivity with default mode network (DMN) regions such as the ventromedial prefrontal cortex and posterior cingulate cortex, in support of anti-correlation of the "task-positive" network (TPN) and DMN. This negative connectivity was reduced with age. Furthermore, pallidum, posterior putamen and VTA/SN connectivity to other TPN regions, such as somatomotor cortex, decreased with age. These results highlight a distinct effect of age on cerebral functional connectivity of the dorsal striatum and VTA/SN from young to middle adulthood and may help research investigating the etiologies or monitoring outcomes of neuropsychiatric conditions that implicate dopaminergic dysfunction.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Basal ganglia; Functional connectivity; Resting state; Striatum; fMRI

Mesh:

Year:  2014        PMID: 25514518      PMCID: PMC4300261          DOI: 10.1016/j.neuroimage.2014.12.016

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


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