Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity

ObjectiveCognitive impairment occurs frequently in Parkinson’s disease (PD) and negatively impacts the patient’s quality of life. However, its pathophysiological mechanism remains unclear, hindering the development of new therapies. Changes in brain connectivity are related to cognitive impairment i...

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Main Authors: Min Cai, Ge Dang, Xiaolin Su, Lin Zhu, Xue Shi, Sixuan Che, Xiaoyong Lan, Xiaoguang Luo, Yi Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.701499/full
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author Min Cai
Min Cai
Ge Dang
Ge Dang
Xiaolin Su
Xiaolin Su
Lin Zhu
Lin Zhu
Xue Shi
Xue Shi
Sixuan Che
Sixuan Che
Xiaoyong Lan
Xiaoyong Lan
Xiaoguang Luo
Xiaoguang Luo
Yi Guo
Yi Guo
Yi Guo
spellingShingle Min Cai
Min Cai
Ge Dang
Ge Dang
Xiaolin Su
Xiaolin Su
Lin Zhu
Lin Zhu
Xue Shi
Xue Shi
Sixuan Che
Sixuan Che
Xiaoyong Lan
Xiaoyong Lan
Xiaoguang Luo
Xiaoguang Luo
Yi Guo
Yi Guo
Yi Guo
Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity
Frontiers in Aging Neuroscience
Parkinson’s disease
cognitive impairment
electroencephalography
functional connectivity
theta frequency band
author_facet Min Cai
Min Cai
Ge Dang
Ge Dang
Xiaolin Su
Xiaolin Su
Lin Zhu
Lin Zhu
Xue Shi
Xue Shi
Sixuan Che
Sixuan Che
Xiaoyong Lan
Xiaoyong Lan
Xiaoguang Luo
Xiaoguang Luo
Yi Guo
Yi Guo
Yi Guo
author_sort Min Cai
title Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity
title_short Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity
title_full Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity
title_fullStr Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity
title_full_unstemmed Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity
title_sort identifying mild cognitive impairment in parkinson’s disease with electroencephalogram functional connectivity
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2021-07-01
description ObjectiveCognitive impairment occurs frequently in Parkinson’s disease (PD) and negatively impacts the patient’s quality of life. However, its pathophysiological mechanism remains unclear, hindering the development of new therapies. Changes in brain connectivity are related to cognitive impairment in patients with PD, with the dorsolateral prefrontal cortex (DLPFC) being considered the essential region related to PD cognitive impairment. Nevertheless, few studies have focused on the global connectivity responsible for communication with the DLPFC node, the posterior division of the middle frontal gyrus (PMFG) in patients with PD; this was the focus of this study.MethodsWe applied resting-state electroencephalography (EEG) and calculated a reliable functional connectivity measurement, the debiased weighted phase lag index (dWPLI), to examine inter-regional functional connectivity in 68 patients with PD who were classified into two groups according to their cognitive condition.ResultsWe observed that altered left and right PMFG-based functional connectivity associated with cognitive impairment in patients with PD in the theta frequency bands under the eyes closed condition (r = −0.426, p < 0.001 and r = −0.437, p < 0.001, respectively). Exploratory results based on the MoCA subdomains indicated that poorer visuospatial function was associated with higher right PMFG-based functional connectivity (r = −0.335, p = 0.005), and poorer attention function was associated with higher left and right PMFG-based functional connectivity (r = −0.380, p = 0.001 and r = −0.256, p = 0.035, respectively). Further analysis using logistic regression and receiver operating characteristic (ROC) curves found that this abnormal functional connectivity was an independent risk factor for cognitive impairment [odds ratio (OR): 2.949, 95% confidence interval (CI): 1.294–6.725, p = 0.01 for left PMFG; OR: 11.278, 95% CI: 2.578–49.335, p = 0.001 for right PMFG, per 0.1 U], and provided moderate classification power to discriminate between cognitive abilities in patients with PD [area under the ROC curve (AUC) = 0.770 for left PMFG; AUC = 0.809 for right PMFG].ConclusionThese preliminary findings indicate that abnormal PMFG-based functional connectivity patterns associated with cognitive impairment in the theta frequency bands under the eyes closed condition and altered functional connectivity patterns have the potential to act as reliable biomarkers for identifying cognitive impairment in patients with PD.
topic Parkinson’s disease
cognitive impairment
electroencephalography
functional connectivity
theta frequency band
url https://www.frontiersin.org/articles/10.3389/fnagi.2021.701499/full
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spelling doaj-6ed57d9a9eda4da4ba4fe3cddd6ba5c12021-07-01T17:37:50ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-07-011310.3389/fnagi.2021.701499701499Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional ConnectivityMin Cai0Min Cai1Ge Dang2Ge Dang3Xiaolin Su4Xiaolin Su5Lin Zhu6Lin Zhu7Xue Shi8Xue Shi9Sixuan Che10Sixuan Che11Xiaoyong Lan12Xiaoyong Lan13Xiaoguang Luo14Xiaoguang Luo15Yi Guo16Yi Guo17Yi Guo18Department of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Medical, The Fourth People’s Hospital of Chengdu, Chengdu, ChinaMOE Key Lab for Neuroinformation, Chengdu Mental Health Center, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaDepartment of Neurology, Shenzhen People’s Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, ChinaShenzhen Bay Laboratory, Gladstone Institute of Neurological Disease, Shenzhen, Guangdong, ChinaObjectiveCognitive impairment occurs frequently in Parkinson’s disease (PD) and negatively impacts the patient’s quality of life. However, its pathophysiological mechanism remains unclear, hindering the development of new therapies. Changes in brain connectivity are related to cognitive impairment in patients with PD, with the dorsolateral prefrontal cortex (DLPFC) being considered the essential region related to PD cognitive impairment. Nevertheless, few studies have focused on the global connectivity responsible for communication with the DLPFC node, the posterior division of the middle frontal gyrus (PMFG) in patients with PD; this was the focus of this study.MethodsWe applied resting-state electroencephalography (EEG) and calculated a reliable functional connectivity measurement, the debiased weighted phase lag index (dWPLI), to examine inter-regional functional connectivity in 68 patients with PD who were classified into two groups according to their cognitive condition.ResultsWe observed that altered left and right PMFG-based functional connectivity associated with cognitive impairment in patients with PD in the theta frequency bands under the eyes closed condition (r = −0.426, p < 0.001 and r = −0.437, p < 0.001, respectively). Exploratory results based on the MoCA subdomains indicated that poorer visuospatial function was associated with higher right PMFG-based functional connectivity (r = −0.335, p = 0.005), and poorer attention function was associated with higher left and right PMFG-based functional connectivity (r = −0.380, p = 0.001 and r = −0.256, p = 0.035, respectively). Further analysis using logistic regression and receiver operating characteristic (ROC) curves found that this abnormal functional connectivity was an independent risk factor for cognitive impairment [odds ratio (OR): 2.949, 95% confidence interval (CI): 1.294–6.725, p = 0.01 for left PMFG; OR: 11.278, 95% CI: 2.578–49.335, p = 0.001 for right PMFG, per 0.1 U], and provided moderate classification power to discriminate between cognitive abilities in patients with PD [area under the ROC curve (AUC) = 0.770 for left PMFG; AUC = 0.809 for right PMFG].ConclusionThese preliminary findings indicate that abnormal PMFG-based functional connectivity patterns associated with cognitive impairment in the theta frequency bands under the eyes closed condition and altered functional connectivity patterns have the potential to act as reliable biomarkers for identifying cognitive impairment in patients with PD.https://www.frontiersin.org/articles/10.3389/fnagi.2021.701499/fullParkinson’s diseasecognitive impairmentelectroencephalographyfunctional connectivitytheta frequency band