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Kumari S, Rana B, Senthil Kumaran S, Chaudhary S, Jain S, Srivastava AK, Rajan R. Gray Matter Atrophy in a 6-OHDA-induced Model of Parkinson's Disease. Neuroscience 2024; 551:217-228. [PMID: 38843989 DOI: 10.1016/j.neuroscience.2024.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/16/2024] [Accepted: 05/23/2024] [Indexed: 06/15/2024]
Abstract
INTRODUCTION Magnetic resonance imaging (MRI) based brain morphometric changes in unilateral 6-hydroxydopamine (6-OHDA) induced Parkinson's disease (PD) model can be elucidated using voxel-based morphometry (VBM), study of alterations in gray matter volume and Machine Learning (ML) based analyses. METHODS We investigated gray matter atrophy in 6-OHDA induced PD model as compared to sham control using statistical and ML based analysis. VBM and atlas-based volumetric analysis was carried out at regional level. Support vector machine (SVM)-based algorithms wherein features (volume) extracted from (a) each of the 150 brain regions (b) statistically significant features (only) and (c) volumes of each cluster identified after application of VBM (VBM_Vol) were used for training the decision model. The lesion of the 6-OHDA model was validated by estimating the net contralateral rotational behaviour by the injection of apomorphine drug and motor impairment was assessed by rotarod and open field test. RESULTS AND DISCUSSION In PD, gray matter volume (GMV) atrophy was noted in bilateral cortical and subcortical brain regions, especially in the internal capsule, substantia nigra, midbrain, primary motor cortex and basal ganglia-thalamocortical circuits in comparison with sham control. Behavioural results revealed an impairment in motor performance. SVM analysis showed 100% classification accuracy, sensitivity and specificity at both 3 and 7 weeks using VBM_Vol. CONCLUSION Unilateral 6-OHDA induced GMV changes in both hemispheres at 7th week may be associated with progression of the disease in the PD model. SVM based approaches provide an increased classification accuracy to elucidate GMV atrophy.
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Affiliation(s)
- Sadhana Kumari
- Department of NMR, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Bharti Rana
- Department of Computer Science, University of Delhi, Delhi 110007, India
| | - S Senthil Kumaran
- Department of NMR, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India.
| | - Shefali Chaudhary
- Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, CT 06510, USA.
| | - Suman Jain
- Department of Physiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Achal Kumar Srivastava
- Department of Neurology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Roopa Rajan
- Department of Neurology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India.
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Chen B, Cui W, Wang S, Sun A, Yu H, Liu Y, He J, Fan G. Functional connectome automatically differentiates multiple system atrophy (parkinsonian type) from idiopathic Parkinson's disease at early stages. Hum Brain Mapp 2023; 44:2176-2190. [PMID: 36661217 PMCID: PMC10028675 DOI: 10.1002/hbm.26201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 12/08/2022] [Accepted: 12/30/2022] [Indexed: 01/21/2023] Open
Abstract
Differentiating the parkinsonian variant of multiple system atrophy (MSA-P) from idiopathic Parkinson's disease (IPD) is challenging, especially in the early stages. This study aimed to investigate differences and similarities in the brain functional connectomes of IPD and MSA-P patients and use machine learning methods to explore the diagnostic utility of these features. Resting-state fMRI data were acquired from 88 healthy controls, 76 MSA-P patients, and 53 IPD patients using a 3.0 T scanner. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 116 regions, and topological properties were evaluated through graph theory approaches. Connectome measurements were used as features in machine learning models (random forest [RF]/logistic regression [LR]/support vector machine) to distinguish IPD and MSA-P patients. Regarding graph metrics, early IPD and MSA-P patients shared network topological properties. Both patient groups showed functional connectivity disruptions within the cerebellum-basal ganglia-cortical network, but these disconnections were mainly in the cortico-thalamo-cerebellar circuits in MSA-P patients and the basal ganglia-thalamo-cortical circuits in IPD patients. Among the connectome parameters, t tests combined with the RF method identified 15 features, from which the LR classifier achieved the best diagnostic performance on the validation set (accuracy = 92.31%, sensitivity = 90.91%, specificity = 93.33%, area under the receiver operating characteristic curve = 0.89). MSA-P and IPD patients show similar whole-brain network topological alterations. MSA-P primarily affects cerebellar nodes, and IPD primarily affects basal ganglia nodes; both conditions disrupt the cerebellum-basal ganglia-cortical network. Moreover, functional connectome parameters showed outstanding value in the differential diagnosis of early MSA-P and IPD.
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Affiliation(s)
- Boyu Chen
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Wenzhuo Cui
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Shanshan Wang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Anlan Sun
- Yizhun Medical AI Co. Ltd, Beijing, People's Republic of China
| | - Hongmei Yu
- Department of Neurology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Yu Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Jiachuan He
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
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Zhang H, Wang L, Gan C, Cao X, Ji M, Sun H, Yuan Y, Zhang K. Altered functional connectivity of cerebellar dentate nucleus in peak-dose dyskinesia in Parkinson’s disease. Front Aging Neurosci 2022; 14:943179. [PMID: 36034152 PMCID: PMC9400811 DOI: 10.3389/fnagi.2022.943179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
The cerebellum is associated with the emergence of levodopa-induced dyskinesia (LID) in Parkinson’s disease (PD), yet the neural mechanism remains obscure. Our aim was to ascertain the role of functional connectivity (FC) patterns of the cerebellar dentate nucleus (DN) in the pathogenesis of peak-dose dyskinesia in PD. Twenty-three peak-dose dyskinetic PD patients, 27 non-dyskinetic PD patients, and 36 healthy controls (HCs) were enrolled and underwent T1-weighted and resting-state functional magnetic resonance imaging (rs-fMRI) scans after dopaminergic medication intake. We selected left and right DN as the regions of interest and then employed voxel-wise FC analysis and voxel-based morphometry analysis (VBM). The correlations between the altered FC pattern and clinical scores were also examined. Finally, receiver operating characteristic (ROC) curve analysis was performed to assess the potential of DN FC measures as a feature of peak-dose dyskinesia in PD. Dyskinetic PD patients showed excessively increased FC between the left DN and right putamen compared with the non-dyskinetic. When compared with controls, dyskinetic PD patients mainly exhibited increased FC between left DN and bilateral putamen, left paracentral lobule, right postcentral gyrus, and supplementary motor area. Additionally, non-dyskinetic PD patients displayed increased FC between left DN and left precentral gyrus and right paracentral lobule compared with controls. Meanwhile, increased FC between DN (left/right) and ipsilateral cerebellum lobule VIII was observed in both PD subgroups. However, no corresponding alteration in gray matter volume (GMV) was found. Further, a positive correlation between the z-FC values of left DN-right putamen and the Unified Dyskinesia Rating Scale (UDysRS) was confirmed in dyskinetic PD patients. Notably, ROC curve analyses revealed that the z-FC values of left DN-right putamen could be a potential neuroimaging feature identifying dyskinetic PD patients. Our findings demonstrated that the excessively strengthened connectivity of DN-putamen might contribute to the pathophysiological mechanisms of peak-dose dyskinesia in PD.
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Tang S, Wang Y, Liu Y, Chau SW, Chan JW, Chu WC, Abrigo JM, Mok VC, Wing YK. Large-scale network dysfunction in α-Synucleinopathy: A meta-analysis of resting-state functional connectivity. EBioMedicine 2022; 77:103915. [PMID: 35259574 PMCID: PMC8904227 DOI: 10.1016/j.ebiom.2022.103915] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/18/2022] [Accepted: 02/18/2022] [Indexed: 01/22/2023] Open
Abstract
Background Although dysfunction of large-scale brain networks has been frequently demonstrated in patients with α-Synucleinopathy (α-Syn, i.e., Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy), a consistent pattern of dysfunction remains unclear. We aim to investigate network dysfunction in patients with α-Syn through a meta-analysis. Methods Whole-brain seed-based resting-state functional connectivity studies (published before September 1st, 2020 in English) comparing α-Syn patients with healthy controls (HC) were retrieved from electronic databases (PubMed, Web of Science, and EMBASE). Seeds from each study were categorized into networks by their location within a priori functional networks. Seed-based effect size mapping with Permutation of Subject Images analysis of between-group effects identified the network systems in which α-Syn was associated with hyperconnectivity (increased connectivity in α-Syn vs. HC) or hypoconnectivity (decreased connectivity in α-Syn vs. HC) within and between each seed-network. This study was registered on PROSPERO (CRD42020210133). Findings In total, 136 seed-based voxel-wise resting-state functional connectivity datasets from 72 publications (3093 α-Syn patients and 3331 HC) were included in the meta-analysis. We found that α-Syn patients demonstrated imbalanced connectivity among subcortical network, cerebellum, and frontal parietal networks that involved in motor functioning and executive control. The patient group was associated with hypoconnectivity in default mode network and ventral attention network that involved in cognition and attention. Additionally, the patient group exhibited hyperconnectivity between neural systems involved in top-down emotion regulation and hypoconnectivity between networks involved in bottom-up emotion processing. Interpretation These findings supported neurocognitive models in which network dysfunction is tightly linked to motor, cognitive and psychiatric symptoms observed in α-Syn patients.
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Affiliation(s)
- Shi Tang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yanlin Wang
- Advanced Computing and Digital Engineering Research, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Steven Wh Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Joey Wy Chan
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Winnie Cw Chu
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jill M Abrigo
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ct Mok
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Wei Y, Wang C, Liu J, Miao P, Wu L, Wang Y, Wang K, Cheng J. Longitudinal gray matter atrophy and accompanied functional connectivity alterations in patients with pontine infarction. Neurol Res 2021; 44:667-676. [PMID: 34937529 DOI: 10.1080/01616412.2021.2018122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To investigate the longitudinal changes in gray matter volume (GMV) and functional connectivity (FC) in patients with pontine infarction (PI) during a 6-month follow-up period. METHODS Twenty-two patients underwent MRI scans and behavioral assessments at 1 week, 1 month, 3 months, and 6 months after PI. Twenty-two normal controls (NC) were administered once with a similar examination. Voxel-wise GMV analysis was used to investigate the difference between the 1 week of PI and NC groups. Longitudinal changes in GMV were assessed and then used as seed regions to explore the accompanying FC changes during the 6-month follow-up. Correlations of the behavioral scores with the imaging indices of clusters with altered GMV and FC were also investigated. RESULTS The LPI group exhibited GMV atrophy in the left cerebellar Crus II, right cerebellar lobule VI, right Vermis VI, while the RPI group showed GMV atrophy in the left cerebellar Crus II. The significant decrease of GMV firstly appeared at 1 month and gradually decreased over time. When using brain regions with GMV atrophy as seeds, longitudinal analysis of FC showed a significant decrease between the left cerebellar Crus II and left middle frontal gyrus at 6 months in the LPI group. Furthermore, the longitudinally altered FC values were negatively correlated with motor scores over time. CONCLUSION These findings provide evidence for progressive GMV atrophy in the cerebellum and impaired relative FC in patients with PI, which could provide vital information for investigating neural bases of behavioral recovery in PI.
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Affiliation(s)
- Ying Wei
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Caihong Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingchun Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Peifang Miao
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Luobing Wu
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yingying Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kaiyu Wang
- Department of MR research, GE Healthcare, Beijing, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Dan X, Hu Y, Sun J, Gao L, Zhou Y, Ma J, Doyon J, Wu T, Chan P. Altered Cerebellar Resting-State Functional Connectivity in Early-Stage Parkinson's Disease Patients With Cognitive Impairment. Front Neurol 2021; 12:678013. [PMID: 34512503 PMCID: PMC8425347 DOI: 10.3389/fneur.2021.678013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/30/2021] [Indexed: 01/01/2023] Open
Abstract
Background: Cognitive impairment is one of the most prominent non-motor symptoms in Parkinson's disease (PD), due in part to known cerebellar dysfunctions. Furthermore, previous studies have reported altered cerebellar functional connectivity (FC) in PD patients. Yet whether these changes are also due to the cognitive deficits in PD remain unclear. Methods: A total of 122 non-dementia participants, including 64 patients with early PD and 58 age- and gender-matched elderly controls were stratified into four groups based on their cognitive status (normal cognition vs. cognitive impairment). Cerebellar volumetry and FC were investigated by analyzing, respectively, structural and resting-state functional MRI data among groups using quality control and quantitative measures. Correlation analysis between MRI metrics and clinical features (motor and cognitive scores) were performed. Results: Compared to healthy control subjects with no cognitive deficits, altered cerebellar FC were observed in early PD participants with both motor and cognitive deficits, but not in PD patients with normal cognition, nor elderly subjects showing signs of a cognitive impairment. Moreover, connectivity between the "motor" cerebellum and SMA was positively correlated with motor scores, while intracerebellar connectivity was positively correlated with cognitive scores in PD patients with cognitive impairment. No cerebellar volumetric difference was observed between groups. Conclusions: These findings show that altered cerebellar FC during resting state in early PD patients may be driven not solely by the motor deficits, but by cognitive deficits as well, hence highlighting the interplay between motor and cognitive functioning, and possibly reflecting compensatory mechanisms, in the early PD.
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Affiliation(s)
- Xiaojuan Dan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
| | - Yang Hu
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junyan Sun
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Linlin Gao
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yongtao Zhou
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jinghong Ma
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Julien Doyon
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tao Wu
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Beijing Institute for Brain Disorders Parkinson's Disease Center, Capital Medical University, Beijing, China
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Cerebellar Atrophy in Multiple System Atrophy (Cerebellar Type) and Its Implication for Network Connectivity. THE CEREBELLUM 2021; 19:636-644. [PMID: 32472475 DOI: 10.1007/s12311-020-01144-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
We sought to assess structural and functional patterns of cerebellum in multiple system atrophy (cerebellar type), and investigate the associations of structural and functional cerebellar gray matter abnormalities. We collected magnetic resonance imaging data of 18 patients with multiple system atrophy (cerebellar type) and 18 health control subjects. The gray matter loss across the motor and cognitive cerebellar territories in patients was assessed using voxel-based morphometry. And change in the connectivity between the cerebellum and large-scale cortical networks was assessed using resting-state functional MRI analysis. Furthermore, we assessed the relationship between the extent of cerebellar atrophy and reduced-activation in the cerebellar-cortical and subthalamo-cerebellar functional connectivities. We confirmed the gray matter loss across the motor and cognitive cerebellar territories in patients and found that the extent of cerebellar atrophy was correlated with decreased connectivity between the cerebellum and large-scale cortical networks, including the default, frontal parietal, and sensorimotor networks. The volume reduction in the motor cerebellum was closely associated with the clinical motor severity. A post hoc analysis showed reduced-activation in the subthalamo-cerebellar functional connectivity without the subthalamic nucleus atrophy. These results emphasized significant atrophy in the cerebellar subsystem and its association with the large-scale cortical networks in multiple system atrophy (cerebellar type), which may improve our understanding of the neural pathophysiology mechanisms of disease.
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Yang YC, Chang FT, Chen JC, Tsai CH, Lin FY, Lu MK. Bereitschaftspotential in Multiple System Atrophy. Front Neurol 2021; 12:608322. [PMID: 34149586 PMCID: PMC8206531 DOI: 10.3389/fneur.2021.608322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 05/07/2021] [Indexed: 11/30/2022] Open
Abstract
Objective: Multiple system atrophy (MSA) is a neurodegenerative disorder manifesting as parkinsonism, cerebellar ataxia, and autonomic dysfunction. It is categorized into MSA with predominant parkinsonism (MSA-P) and into MSA with predominant cerebellar ataxia (MSA-C). The pathophysiology of motor control circuitry involvement in MSA subtype is unclear. Bereitschaftspotential (BP) is a feasible clinical tool to measure electroencephalographic activity prior to volitional motions. We recorded BP in patients with MSA-P and MSA-C to investigate their motor cortical preparation and activation for volitional movement. Methods: We included eight patients with MSA-P, eight patients with MSA-C, and eight age-matched healthy controls. BP was recorded during self-paced rapid wrist extension movements. The electroencephalographic epochs were time-locked to the electromyography onset of the voluntary wrist movements. The three groups were compared with respect to the mean amplitudes of early (1,500–500 ms before movement onset) and late (500–0 ms before movement onset) BP. Results: Mean early BP amplitude was non-significantly different between the three groups. Mean late BP amplitude in the two patient groups was significantly reduced in the parietal area contralateral to the movement side compared with that in the healthy control group. In addition, the late BP of the MSA-C group but not the MSA-P group was significantly reduced at the central parietal area compared with that of the healthy control group. Conclusions: Our findings suggest that patients with MSA exhibit motor cortical dysfunction in voluntary movement preparation and activation. The dysfunction can be practicably evaluated using late BP, which represents the cerebello-dentato-thalamo-cortical pathway.
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Affiliation(s)
- Yi-Chien Yang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Fang-Tzu Chang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Jui-Cheng Chen
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.,Department of Neurology, China Medical University Hsinchu Hospital, Hsinchu, Taiwan.,Neuroscience and Brain Disease Center, China Medical University Hospital, Taichung, Taiwan
| | - Chon-Haw Tsai
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.,Neuroscience and Brain Disease Center, China Medical University Hospital, Taichung, Taiwan.,Ph.D. Program for Translational Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Fu-Yu Lin
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Ming-Kuei Lu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,Neuroscience and Brain Disease Center, China Medical University Hospital, Taichung, Taiwan.,Ph.D. Program for Translational Medicine, College of Medicine, China Medical University, Taichung, Taiwan
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Tinaz S. Functional Connectome in Parkinson's Disease and Parkinsonism. Curr Neurol Neurosci Rep 2021; 21:24. [PMID: 33817766 DOI: 10.1007/s11910-021-01111-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE OF REVIEW There has been an exponential growth in functional connectomics research in neurodegenerative disorders. This review summarizes the recent findings and limitations of the field in Parkinson's disease (PD) and atypical parkinsonian syndromes. RECENT FINDINGS Increasingly more sophisticated methods ranging from seed-based to network and whole-brain dynamic functional connectivity have been used. Results regarding the disruption in the functional connectome vary considerably based on disease severity and phenotypes, and treatment status in PD. Non-motor symptoms of PD also link to the dysfunction in heterogeneous networks. Studies in atypical parkinsonian syndromes are relatively scarce. An important clinical goal of functional connectomics in neurodegenerative disorders is to establish the presence of pathology, track disease progression, predict outcomes, and monitor treatment response. The obstacles of reliability and reproducibility in the field need to be addressed to improve the potential of the functional connectome as a biomarker for these purposes in PD and atypical parkinsonian syndromes.
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Affiliation(s)
- Sule Tinaz
- Department of Neurology, Division of Movement Disorders, Yale University School of Medicine, 15 York St, LCI 710, New Haven, CT, 06510, USA.
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Prange S, Metereau E, Thobois S. Structural Imaging in Parkinson’s Disease: New Developments. Curr Neurol Neurosci Rep 2019; 19:50. [DOI: 10.1007/s11910-019-0964-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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