Clinically relevant connectivity features define three subtypes of Parkinson's disease patients.
Parkinson's disease
clustering analysis
heterogeneity
magnetic resonance imaging
subtype
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 10 2020
01 10 2020
Historique:
received:
04
04
2020
revised:
23
05
2020
accepted:
14
06
2020
pubmed:
27
6
2020
medline:
15
12
2021
entrez:
27
6
2020
Statut:
ppublish
Résumé
Parkinson's disease (PD) is characterized by complex clinical symptoms, including classic motor and nonmotor disturbances. Patients with PD vary in clinical manifestations and prognosis, which point to the existence of subtypes. This study aimed to find the fiber connectivity correlations with several crucial clinical symptoms and identify PD subtypes using unsupervised clustering analysis. One hundred and thirty-four PD patients and 77 normal controls were enrolled. Canonical correlation analysis (CCA) was performed to define the clinically relevant connectivity features, which were then used in the hierarchical clustering analysis to identify the distinct subtypes of PD patients. Multimodal neuroimaging analyses were further used to explore the neurophysiological basis of these subtypes. The methodology was validated in an independent data set. CCA revealed two significant clinically relevant patterns (motor-related pattern and depression-related pattern; r = .94, p < .001 and r = .926, p = .001, respectively) among PD patients, and hierarchical clustering analysis identified three neurophysiological subtypes ("mild" subtype, "severe depression-dominant" subtype and "severe motor-dominant" subtype). Multimodal neuroimaging analyses suggested that the patients in the "severe depression-dominant" subtype exhibited widespread disruptions both in function and structure, while the other two subtypes exhibited relatively mild abnormalities in brain function. In the independent validation, three similar subtypes were identified. In conclusion, we revealed heterogeneous subtypes of PD patients according to their distinct clinically relevant connectivity features. Importantly, depression symptoms have a considerable impact on brain damage in patients with PD.
Identifiants
pubmed: 32588952
doi: 10.1002/hbm.25110
pmc: PMC7469787
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4077-4092Subventions
Organisme : the 13th Five-year Plan for National Key Research and Development Program of China
ID : 2016YFC1306600
Organisme : the National Natural Science Foundation of China
ID : 81571654
Organisme : the National Natural Science Foundation of China
ID : 81701647
Organisme : the National Natural Science Foundation of China
ID : 81771820
Organisme : the National Natural Science Foundation of China
ID : 81971577
Organisme : the Project funded by China Postdoctoral Science Foundation
ID : 2019M662082
Organisme : Fundamental Research Funds for the Central Universities of China
ID : 2017XZZX001-01
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
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