Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease

Abstract Much is known concerning the underlying mechanisms of Parkinson’s disease (PD) with depression, but our understanding of this disease at the neural-system level remains incomplete. This study used resting-state functional MRI (rs-fMRI) and independent component analysis (ICA) to investigate...

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Autores principales:	Luqing Wei, Xiao Hu, Yajing Zhu, Yonggui Yuan, Weiguo Liu, Hong Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4bd735d869e543d5b7f8fde9a10d5de9
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spelling	oai:doaj.org-article:4bd735d869e543d5b7f8fde9a10d5de92021-12-02T12:32:24ZAberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease10.1038/s41598-017-02127-y2045-2322https://doaj.org/article/4bd735d869e543d5b7f8fde9a10d5de92017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02127-yhttps://doaj.org/toc/2045-2322Abstract Much is known concerning the underlying mechanisms of Parkinson’s disease (PD) with depression, but our understanding of this disease at the neural-system level remains incomplete. This study used resting-state functional MRI (rs-fMRI) and independent component analysis (ICA) to investigate intrinsic functional connectivity (FC) within and between large-scale neural networks in 20 depressed PD (dPD) patients, 35 non-depressed PD (ndPD) patients, and 34 healthy controls (HC). To alleviate the influence caused by ICA model order selection, this work reported results from analyses at 2 levels (low and high model order). Within these two analyses, similar results were obtained: 1) dPD and ndPD patients relative to HC had reduced FC in basal ganglia network (BGN); 2) dPD compared with ndPD patients exhibited increased FC in left frontoparietal network (LFPN) and salience network (SN), and decreased FC in default-mode network (DMN); 3) dPD patients compared to HC showed increased FC between DMN and LFPN. Additionally, connectivity anomalies in the DMN, LFPN and SN correlated with the depression severity in patients with PD. Our findings confirm the involvement of BGN, DMN, LFPN and SN in depression in PD, facilitating the development of more detailed and integrative neural models of PD with depression.Luqing WeiXiao HuYajing ZhuYonggui YuanWeiguo LiuHong ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Luqing Wei Xiao Hu Yajing Zhu Yonggui Yuan Weiguo Liu Hong Chen Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease
description	Abstract Much is known concerning the underlying mechanisms of Parkinson’s disease (PD) with depression, but our understanding of this disease at the neural-system level remains incomplete. This study used resting-state functional MRI (rs-fMRI) and independent component analysis (ICA) to investigate intrinsic functional connectivity (FC) within and between large-scale neural networks in 20 depressed PD (dPD) patients, 35 non-depressed PD (ndPD) patients, and 34 healthy controls (HC). To alleviate the influence caused by ICA model order selection, this work reported results from analyses at 2 levels (low and high model order). Within these two analyses, similar results were obtained: 1) dPD and ndPD patients relative to HC had reduced FC in basal ganglia network (BGN); 2) dPD compared with ndPD patients exhibited increased FC in left frontoparietal network (LFPN) and salience network (SN), and decreased FC in default-mode network (DMN); 3) dPD patients compared to HC showed increased FC between DMN and LFPN. Additionally, connectivity anomalies in the DMN, LFPN and SN correlated with the depression severity in patients with PD. Our findings confirm the involvement of BGN, DMN, LFPN and SN in depression in PD, facilitating the development of more detailed and integrative neural models of PD with depression.
format	article
author	Luqing Wei Xiao Hu Yajing Zhu Yonggui Yuan Weiguo Liu Hong Chen
author_facet	Luqing Wei Xiao Hu Yajing Zhu Yonggui Yuan Weiguo Liu Hong Chen
author_sort	Luqing Wei
title	Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease
title_short	Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease
title_full	Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease
title_fullStr	Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease
title_full_unstemmed	Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease
title_sort	aberrant intra- and internetwork functional connectivity in depressed parkinson’s disease
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/4bd735d869e543d5b7f8fde9a10d5de9
work_keys_str_mv	AT luqingwei aberrantintraandinternetworkfunctionalconnectivityindepressedparkinsonsdisease AT xiaohu aberrantintraandinternetworkfunctionalconnectivityindepressedparkinsonsdisease AT yajingzhu aberrantintraandinternetworkfunctionalconnectivityindepressedparkinsonsdisease AT yongguiyuan aberrantintraandinternetworkfunctionalconnectivityindepressedparkinsonsdisease AT weiguoliu aberrantintraandinternetworkfunctionalconnectivityindepressedparkinsonsdisease AT hongchen aberrantintraandinternetworkfunctionalconnectivityindepressedparkinsonsdisease
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Aberrant Intra- and Internetwork Functional Connectivity in Depressed Parkinson’s Disease

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