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Liu J, Zou X, Gu J, Yu Q, Dong Z, Zuo H, Chen X, Du X, Zou D, Han Y, Peng J, Cheng O. Altered connectivity in the cognitive control-related prefrontal cortex in Parkinson's disease with rapid eye movement sleep behavior disorder. Brain Imaging Behav 2023; 17:702-714. [PMID: 37721659 DOI: 10.1007/s11682-023-00796-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2023] [Indexed: 09/19/2023]
Abstract
Rapid eye movement sleep behavior disorder (RBD) frequently occurs in Parkinson's disease (PD), however, the exact pathophysiological mechanism is not clear. The prefrontal cortex (PFC), especially ventrolateral prefrontal cortex (VLPFC), dorsolateral prefrontal cortex (DLPFC), and inferior frontal gyrus (IFG) which may play roles by regulating cognitive control processes. The purpose of this study was to investigate whether there is abnormal functional connectivity (FC) maps and volume changes in PD with RBD(PD-RBD). We recruited 20 PD-RBD, 20 PD without RBD (PD-nRBD), and 20 normal controls (NC). We utilized resting-state functional Magnetic Resonance Imaging (rs-MRI) to explore FC changes based on regions of interest (VLPFC, DLPFC, and IFG), and used voxel-based morphology technology to analyze whole-brain volumes by 3D-T1 structural MRI. Except the REM sleep behavioral disorders questionnaire (RBDSQ), the PD-RBD showed lower visuospatial/executive and attention scores than the NC group. The RBDSQ scores were significantly positively correlated with zFC of right DLPFC to bilateral posterior cingulate cortex (PCC) (P = 0.0362, R = 0.4708, AlphaSim corrected) and also significantly positively correlated with zFC of left VLPFC to right inferior temporal (P = 0.0157, R = 0.5323, AlphaSim corrected) in PD-RBD group. Furthermore, abnormal correlations with zFC values were also found in some cognitive subdomains in PD-RBD group. The study may suggest that in PD-RBD patients, the presence of RBD may be related to the abnormal FC of VLPFC and DLPFC, meanwhile, the abnormal FC of DLPFC and IFG may be related to the mechanisms of cognitive impairment.
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Affiliation(s)
- Jinjing Liu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
- Department of Rehabilitation Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Xiaoya Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Jinming Gu
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Qian Yu
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Zhaoying Dong
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Hongzhou Zuo
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaocui Chen
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Xinyi Du
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Dezhi Zou
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Yu Han
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China
| | - Juan Peng
- Department of Radiology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
| | - Oumei Cheng
- Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, 400016, China.
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Jia X, Fan W, Wang Z, Liu Y, Li Y, Li H, Li H, Ma T, Wang J, Yang Q. Progressive Prefrontal Cortex Dysfunction in Parkinson's Disease With Probable REM Sleep Behavior Disorder: A 3-Year Longitudinal Study. Front Aging Neurosci 2022; 13:750767. [PMID: 35082656 PMCID: PMC8784770 DOI: 10.3389/fnagi.2021.750767] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/19/2021] [Indexed: 11/13/2022] Open
Abstract
This study aimed to explore the disrupted prefrontal cortex activity specific to patients with Parkinson's disease (PD) with rapid eye movement sleep behavior disorder (RBD) compared with those without and to further examine the associations between these alterations and neuropsychological measurements. Ninety-six patients with early PD underwent both structural and functional MRI, and also neuropsychological assessments in the Parkinson's Progression Markers Initiative (PPMI) database. Of these, 46 patients who completed 1- and 3-year fMRI follow-up examinations were categorized as PD with probable RBD (PD-pRBD+) and without (PD-pRBD−). The left dorsolateral prefrontal cortex (DLPFC) seed-to-voxel functional connectivity analysis was conducted to evaluate the progressive neural alterations specific to PD-pRBD+ compared with PD-pRBD− over time. Furthermore, relationships between these alterations and neuropsychological performance were examined. Compared with patients with PD-pRBD−, patients with PD-pRBD+ initially exhibited connectivity deficits between the left DLPFC and the medial frontopolar cortex. Moreover, these patients further exhibited disrupted DLPFC connectivity in the lateral frontopolar cortex at the 3-year follow-up evaluation. Correlation analysis revealed that connectivity between the left DLPFC and frontopolar cortex was positively related to executive function in PD-pRBD+ after adjusting for nuisance variables. Progressive prefrontal cortex dysfunction associated with RBD in early PD may provide an effective subtype-specific biomarker of neurodegenerative progression, which may shed light on the neuropathological mechanisms underlying the clinical heterogeneity of this disease.
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Affiliation(s)
- Xiuqin Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
| | - Wentao Fan
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Zhijiang Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital (Institute of Mental Health), Beijing, China
| | - Yuehong Liu
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Ying Li
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Haibin Li
- Department of Cardiac Surgery, Heart Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Hui Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
| | - Ting Ma
- School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | - Jing Wang
- Department of Clinical Lab, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- *Correspondence: Jing Wang
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
- Qi Yang
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