Cerebellar Microstructural Abnormalities in Parkinson's Disease: a Systematic Review of Diffusion Tensor Imaging Studies.


Journal

Cerebellum (London, England)
ISSN: 1473-4230
Titre abrégé: Cerebellum
Pays: United States
ID NLM: 101089443

Informations de publication

Date de publication:
Aug 2022
Historique:
accepted: 01 12 2021
pubmed: 11 1 2022
medline: 29 7 2022
entrez: 10 1 2022
Statut: ppublish

Résumé

Diffusion tensor imaging (DTI) is now having a strong momentum in research to evaluate the neural fibers of the CNS. This technique can study white matter (WM) microstructure in neurodegenerative disorders, including Parkinson's disease (PD). Previous neuroimaging studies have suggested cerebellar involvement in the pathogenesis of PD, and these cerebellum alterations can correlate with PD symptoms and stages. Using the PRISMA 2020 framework, PubMed and EMBASE were searched to retrieve relevant articles. Our search revealed 472 articles. After screening titles and abstracts, and full-text review, and implementing the inclusion criteria, 68 papers were selected for synthesis. Reviewing the selected studies revealed that the patterns of reduction in cerebellum WM integrity, assessed by fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity measures can differ symptoms and stages of PD. Cerebellar diffusion tensor imaging (DTI) changes in PD patients with "postural instability and gait difficulty" are significantly different from "tremor dominant" PD patients. Freezing of the gate is strongly related to cerebellar involvement depicted by DTI. The "reduced cognition," "visual disturbances," "sleep disorders," "depression," and "olfactory dysfunction" are not related to cerebellum microstructural changes on DTI, while "impulsive-compulsive behavior" can be linked to cerebellar WM alteration. Finally, higher PD stages and longer disease duration are associated with cerebellum white matter alteration depicted by DTI. Depiction of cerebellar white matter involvement in PD is feasible by DTI. There is an association with disease duration and severity and several clinical presentations with DTI findings. This clinical-imaging association may eventually improve disease management.

Identifiants

pubmed: 35001330
doi: 10.1007/s12311-021-01355-3
pii: 10.1007/s12311-021-01355-3
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

545-571

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Maryam Haghshomar (M)

Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.

Parnian Shobeiri (P)

Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Parnian.Shobeiri@gmail.com.
NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran. Parnian.Shobeiri@gmail.com.
Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, No. 10, Al-e-Ahmad and Chamran Highway intersection, Tehran, 1411713137, Iran. Parnian.Shobeiri@gmail.com.

Seyed Arsalan Seyedi (SA)

Faculty of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.

Fatemeh Abbasi-Feijani (F)

Faculty of Medicine, Arak University of Medical Sciences, Tehran, Iran.

Amirhossein Poopak (A)

Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Houman Sotoudeh (H)

Department of Radiology and Neurology, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.

Arash Kamali (A)

Department of Diagnostic and Interventional Radiology, University of Texas McGovern Medical School, Houston, TX, USA.

Mohammad Hadi Aarabi (MH)

Department of Neuroscience (DNS), Padova Neuroscience Center-PNC, University of Padova, Padua, Italy.

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