Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI

Subcortical vascular mild cognitive impairment (svMCI) is associated with structural and functional changes in the cerebral cortex affecting major brain networks. While recent studies have shown that the intrinsic cerebral connectivity networks can be mapped onto the cerebellum, and the cortex and c...

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Main Authors: Alaka Acharya, Peng Ren, Liye Yi, Weiming Tian, Xia Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1006231/full
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author Alaka Acharya
Peng Ren
Liye Yi
Weiming Tian
Xia Liang
Xia Liang
author_facet Alaka Acharya
Peng Ren
Liye Yi
Weiming Tian
Xia Liang
Xia Liang
author_sort Alaka Acharya
collection DOAJ
description Subcortical vascular mild cognitive impairment (svMCI) is associated with structural and functional changes in the cerebral cortex affecting major brain networks. While recent studies have shown that the intrinsic cerebral connectivity networks can be mapped onto the cerebellum, and the cortex and cerebellum are interconnected via the cortico-basal ganglia-cerebellar circuit, structural and functional disruptions in cerebellum in svMCI are rarely studied. In this study, we conducted voxel-based morphometry analysis to investigate gray matter atrophy pattern across cerebellar regions in 40 svMCI patients, and explored alterations in functional connectivity between the basal ganglia and cerebellum. The results showed that the amount of cerebellar atrophy within the default mode, salience, and frontoparietal networks correlated with their counterpart in the cerebral cortex. Moreover, key regions of the cerebellum, including the lobule VI, VIIb, VIII, and Crus I, which are reported to have a role in cognitive function, showed both anatomical atrophy and decreased functional connectivity with the striatum. These atrophy and connectivity patterns in the cerebellum also correlated with memory performances. These findings demonstrate that there are coupled changes in cerebral and cerebellar circuits, reflecting that degeneration patterns in svMCI are not limited to the cerebral cortex but similarly extend to the cerebellum as well, and suggest the cortico-basal ganglia-cerebellar circuit may play an important role in the pathology of svMCI.
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spelling doaj.art-6ade14152b6b4331b2fdd9fbb0c60fb52023-01-11T06:43:04ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-01-011610.3389/fnins.2022.10062311006231Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCIAlaka Acharya0Peng Ren1Liye Yi2Weiming Tian3Xia Liang4Xia Liang5School of Life Science, Harbin Institute of Technology, Harbin, ChinaSchool of Life Science, Harbin Institute of Technology, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaSchool of Life Science, Harbin Institute of Technology, Harbin, ChinaSchool of Life Science, Harbin Institute of Technology, Harbin, ChinaLaboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin, ChinaSubcortical vascular mild cognitive impairment (svMCI) is associated with structural and functional changes in the cerebral cortex affecting major brain networks. While recent studies have shown that the intrinsic cerebral connectivity networks can be mapped onto the cerebellum, and the cortex and cerebellum are interconnected via the cortico-basal ganglia-cerebellar circuit, structural and functional disruptions in cerebellum in svMCI are rarely studied. In this study, we conducted voxel-based morphometry analysis to investigate gray matter atrophy pattern across cerebellar regions in 40 svMCI patients, and explored alterations in functional connectivity between the basal ganglia and cerebellum. The results showed that the amount of cerebellar atrophy within the default mode, salience, and frontoparietal networks correlated with their counterpart in the cerebral cortex. Moreover, key regions of the cerebellum, including the lobule VI, VIIb, VIII, and Crus I, which are reported to have a role in cognitive function, showed both anatomical atrophy and decreased functional connectivity with the striatum. These atrophy and connectivity patterns in the cerebellum also correlated with memory performances. These findings demonstrate that there are coupled changes in cerebral and cerebellar circuits, reflecting that degeneration patterns in svMCI are not limited to the cerebral cortex but similarly extend to the cerebellum as well, and suggest the cortico-basal ganglia-cerebellar circuit may play an important role in the pathology of svMCI.https://www.frontiersin.org/articles/10.3389/fnins.2022.1006231/fullsubcortical vascular cognitive impairmentbasal gangliacerebellumgray mattervoxel-based morphometry
spellingShingle Alaka Acharya
Peng Ren
Liye Yi
Weiming Tian
Xia Liang
Xia Liang
Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI
Frontiers in Neuroscience
subcortical vascular cognitive impairment
basal ganglia
cerebellum
gray matter
voxel-based morphometry
title Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI
title_full Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI
title_fullStr Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI
title_full_unstemmed Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI
title_short Structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svMCI
title_sort structural atrophy and functional dysconnectivity patterns in the cerebellum relate to cerebral networks in svmci
topic subcortical vascular cognitive impairment
basal ganglia
cerebellum
gray matter
voxel-based morphometry
url https://www.frontiersin.org/articles/10.3389/fnins.2022.1006231/full
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