Autonomic disorders in Parkinson disease: Disrupted hypothalamic connectivity as revealed from resting-state functional magnetic resonance imaging.


Journal

Handbook of clinical neurology
ISSN: 0072-9752
Titre abrégé: Handb Clin Neurol
Pays: Netherlands
ID NLM: 0166161

Informations de publication

Date de publication:
2021
Historique:
entrez: 16 7 2021
pubmed: 17 7 2021
medline: 29 7 2021
Statut: ppublish

Résumé

Converging evidence from diverse methodologies implicate the hypothalamus in the pathophysiology of Parkinson's disease (PD). Pathology in the hypothalamus and in hypothalamic pathways has been linked primarily to autonomic dysfunction, routinely experienced by individuals with PD throughout the course of the disease, sometimes predating onset of motor symptoms. Postmortem and molecular imaging studies have delineated pathologic changes in the hypothalamus and demonstrated alterations in neurotransmitter systems within this structure and associated pathways, which track the progression of the disease. More recently, functional interactions between the hypothalamus, thalamus, and striatum, as assessed using resting-state functional magnetic resonance imaging, were shown to be reduced in PD patients with high in comparison to those with low autonomic symptom burden. These functional changes may relate to micro- and macrostructural alterations which are also observed in PD. An examination of the hypothalamus and hypothalamic pathways can also shed light on atypical parkinsonian disorders and their distinct pathophysiologic characteristics relative to idiopathic PD. Altogether, the current state of knowledge on the involvement of the hypothalamus in PD is profound, yet emerging methodological advances are likely to move our understanding of hypothalamic pathology in PD significantly forward.

Identifiants

pubmed: 34266593
pii: B978-0-12-819973-2.00014-9
doi: 10.1016/B978-0-12-819973-2.00014-9
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

211-222

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Eran Dayan (E)

Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States. Electronic address: eran_dayan@med.unc.edu.

Miriam Sklerov (M)

Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

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Classifications MeSH