Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis
Purpose: In Parkinson’s disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance.Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter s...
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doaj-655192f9d5584222ae1e2be2750db3822020-11-24T23:24:24ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652018-01-01910.3389/fnagi.2017.00417281847Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network AnalysisYa-Ting Chang0Cheng-Hsien Lu1Ming-Kung Wu2Shih-Wei Hsu3Chi-Wei Huang4Wen-Neng Chang5Chia-Yi Lien6Jun-Jun Lee7Chiung-Chih Chang8Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanPurpose: In Parkinson’s disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance.Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS): PD-MCI with depression (PD-MCI-D) or without depression (PD-MCI-ND). The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores.Results: This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; r = -0.231, P = 0.046).Conclusions: This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI.http://journal.frontiersin.org/article/10.3389/fnagi.2017.00417/fullbrain imagingcognitiondepressionmood disordersneuroimaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ya-Ting Chang Cheng-Hsien Lu Ming-Kung Wu Shih-Wei Hsu Chi-Wei Huang Wen-Neng Chang Chia-Yi Lien Jun-Jun Lee Chiung-Chih Chang |
spellingShingle |
Ya-Ting Chang Cheng-Hsien Lu Ming-Kung Wu Shih-Wei Hsu Chi-Wei Huang Wen-Neng Chang Chia-Yi Lien Jun-Jun Lee Chiung-Chih Chang Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis Frontiers in Aging Neuroscience brain imaging cognition depression mood disorders neuroimaging |
author_facet |
Ya-Ting Chang Cheng-Hsien Lu Ming-Kung Wu Shih-Wei Hsu Chi-Wei Huang Wen-Neng Chang Chia-Yi Lien Jun-Jun Lee Chiung-Chih Chang |
author_sort |
Ya-Ting Chang |
title |
Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis |
title_short |
Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis |
title_full |
Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis |
title_fullStr |
Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis |
title_full_unstemmed |
Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis |
title_sort |
salience network and depressive severities in parkinson’s disease with mild cognitive impairment: a structural covariance network analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Aging Neuroscience |
issn |
1663-4365 |
publishDate |
2018-01-01 |
description |
Purpose: In Parkinson’s disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance.Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS): PD-MCI with depression (PD-MCI-D) or without depression (PD-MCI-ND). The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores.Results: This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; r = -0.231, P = 0.046).Conclusions: This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI. |
topic |
brain imaging cognition depression mood disorders neuroimaging |
url |
http://journal.frontiersin.org/article/10.3389/fnagi.2017.00417/full |
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