Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment
We investigated the association between poststroke cognitive impairment and a specific effective network connectivity in the prefrontal–basal ganglia circuit. The resting-state effective connectivity of this circuit was modeled by employing spectral dynamic causal modeling in 11 poststroke patients...
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doaj-0a77c3b2eb314d829120c5849abb3eee2020-12-16T05:28:24ZengFrontiers Media S.A.Frontiers in Neurology1664-22952020-12-011110.3389/fneur.2020.577482577482Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive ImpairmentJing Zhang0Zixiao Li1Xingxing Cao2Lijun Zuo3Wei Wen4Wei Wen5Wanlin Zhu6Jiyang Jiang7Jian Cheng8Perminder Sachdev9Perminder Sachdev10Tao Liu11Tao Liu12Tao Liu13Yongjun Wang14Yongjun Wang15School of Biological Science and Medical Engineering, Beihang University, Beijing, ChinaBeijing TianTan Hospital, Capital Medical University, Beijing, ChinaSchool of Biological Science and Medical Engineering, Beihang University, Beijing, ChinaBeijing TianTan Hospital, Capital Medical University, Beijing, ChinaCentre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, AustraliaNeuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, AustraliaBeijing TianTan Hospital, Capital Medical University, Beijing, ChinaCentre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, AustraliaBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, ChinaCentre for Healthy Brain Ageing, School of Psychiatry (CHeBA), University of New South Wales, Sydney, NSW, AustraliaNeuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, AustraliaSchool of Biological Science and Medical Engineering, Beihang University, Beijing, ChinaBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, ChinaBeijing Advanced Innovation Center for Biomedical Engineering, Beijing, ChinaBeijing TianTan Hospital, Capital Medical University, Beijing, ChinaChina National Clinical Research Center for Neurological Diseases, Beijing, ChinaWe investigated the association between poststroke cognitive impairment and a specific effective network connectivity in the prefrontal–basal ganglia circuit. The resting-state effective connectivity of this circuit was modeled by employing spectral dynamic causal modeling in 11 poststroke patients with cognitive impairment (PSCI), 8 poststroke patients without cognitive impairment (non-PSCI) at baseline and 3-month follow-up, and 28 healthy controls. Our results showed that different neuronal models of effective connectivity in the prefrontal–basal ganglia circuit were observed among healthy controls, non-PSCI, and PSCI patients. Additional connected paths (extra paths) appeared in the neuronal models of stroke patients compared with healthy controls. Moreover, changes were detected in the extra paths of non-PSCI between baseline and 3-month follow-up poststroke, indicating reorganization in the ipsilesional hemisphere and suggesting potential compensatory changes in the contralesional hemisphere. Furthermore, the connectivity strengths of the extra paths from the contralesional ventral anterior nucleus of thalamus to caudate correlated significantly with cognitive scores in non-PSCI and PSCI patients. These suggest that the neuronal model of effective connectivity of the prefrontal–basal ganglia circuit may be sensitive to stroke-induced cognitive decline, and it could be a biomarker for poststroke cognitive impairment 3 months poststroke. Importantly, contralesional brain regions may play an important role in functional compensation of cognitive decline.https://www.frontiersin.org/articles/10.3389/fneur.2020.577482/fullcognitive impairmentprefrontal–basal ganglia circuitdynamic causal modelingfMRIstroke |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jing Zhang Zixiao Li Xingxing Cao Lijun Zuo Wei Wen Wei Wen Wanlin Zhu Jiyang Jiang Jian Cheng Perminder Sachdev Perminder Sachdev Tao Liu Tao Liu Tao Liu Yongjun Wang Yongjun Wang |
spellingShingle |
Jing Zhang Zixiao Li Xingxing Cao Lijun Zuo Wei Wen Wei Wen Wanlin Zhu Jiyang Jiang Jian Cheng Perminder Sachdev Perminder Sachdev Tao Liu Tao Liu Tao Liu Yongjun Wang Yongjun Wang Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment Frontiers in Neurology cognitive impairment prefrontal–basal ganglia circuit dynamic causal modeling fMRI stroke |
author_facet |
Jing Zhang Zixiao Li Xingxing Cao Lijun Zuo Wei Wen Wei Wen Wanlin Zhu Jiyang Jiang Jian Cheng Perminder Sachdev Perminder Sachdev Tao Liu Tao Liu Tao Liu Yongjun Wang Yongjun Wang |
author_sort |
Jing Zhang |
title |
Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment |
title_short |
Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment |
title_full |
Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment |
title_fullStr |
Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment |
title_full_unstemmed |
Altered Prefrontal–Basal Ganglia Effective Connectivity in Patients With Poststroke Cognitive Impairment |
title_sort |
altered prefrontal–basal ganglia effective connectivity in patients with poststroke cognitive impairment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2020-12-01 |
description |
We investigated the association between poststroke cognitive impairment and a specific effective network connectivity in the prefrontal–basal ganglia circuit. The resting-state effective connectivity of this circuit was modeled by employing spectral dynamic causal modeling in 11 poststroke patients with cognitive impairment (PSCI), 8 poststroke patients without cognitive impairment (non-PSCI) at baseline and 3-month follow-up, and 28 healthy controls. Our results showed that different neuronal models of effective connectivity in the prefrontal–basal ganglia circuit were observed among healthy controls, non-PSCI, and PSCI patients. Additional connected paths (extra paths) appeared in the neuronal models of stroke patients compared with healthy controls. Moreover, changes were detected in the extra paths of non-PSCI between baseline and 3-month follow-up poststroke, indicating reorganization in the ipsilesional hemisphere and suggesting potential compensatory changes in the contralesional hemisphere. Furthermore, the connectivity strengths of the extra paths from the contralesional ventral anterior nucleus of thalamus to caudate correlated significantly with cognitive scores in non-PSCI and PSCI patients. These suggest that the neuronal model of effective connectivity of the prefrontal–basal ganglia circuit may be sensitive to stroke-induced cognitive decline, and it could be a biomarker for poststroke cognitive impairment 3 months poststroke. Importantly, contralesional brain regions may play an important role in functional compensation of cognitive decline. |
topic |
cognitive impairment prefrontal–basal ganglia circuit dynamic causal modeling fMRI stroke |
url |
https://www.frontiersin.org/articles/10.3389/fneur.2020.577482/full |
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