Neuropsychiatric aspects of Parkinson disease psychopharmacology: Insights from circuit dynamics.


Journal

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

Informations de publication

Date de publication:
2019
Historique:
entrez: 16 11 2019
pubmed: 16 11 2019
medline: 18 4 2020
Statut: ppublish

Résumé

Parkinson disease (PD) is a neurodegenerative disorder with a complex pathophysiology characterized by the progressive loss of dopaminergic neurons within the substantia nigra. Persons with PD experience several motoric and neuropsychiatric symptoms. Neuropsychiatric features of PD include depression, anxiety, psychosis, impulse control disorders, and apathy. In this chapter, we will utilize the National Institutes of Mental Health Research Domain Criteria (RDoC) to frame and integrate observations from two prevailing disease constructions: neurotransmitter anomalies and circuit physiology. When there is available evidence, we posit how unified translational observations may have clinical relevance and postulate importance outside of PD. Finally, we review the limited evidence available for pharmacologic management of these symptoms.

Identifiants

pubmed: 31727232
pii: B978-0-444-64012-3.00007-1
doi: 10.1016/B978-0-444-64012-3.00007-1
pii:
doi:

Substances chimiques

Adrenergic Uptake Inhibitors 0
Antiparkinson Agents 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

83-121

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Ankur Butala (A)

Departments of Neurology and Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Melissa Shepard (M)

Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Greg Pontone (G)

Departments of Neurology and Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address: gpontone@jhmi.edu.

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Classifications MeSH