Striatal and thalamic automatic segmentation, morphology, and clinical correlates in Parkinsonism: Parkinson's disease, multiple system atrophy and progressive supranuclear palsy.


Journal

Psychiatry research. Neuroimaging
ISSN: 1872-7506
Titre abrégé: Psychiatry Res Neuroimaging
Pays: Netherlands
ID NLM: 101723001

Informations de publication

Date de publication:
10 2023
Historique:
received: 11 07 2023
revised: 20 09 2023
accepted: 23 09 2023
medline: 6 11 2023
pubmed: 9 10 2023
entrez: 8 10 2023
Statut: ppublish

Résumé

Parkinson's disease (PD), multisystem atrophy (MSA), and progressive supranuclear palsy (PSP) present similarly with bradykinesia, tremor, rigidity, and cognitive impairments. Neuroimaging studies have found differential changes in the nigrostriatal pathway in these disorders, however whether the volume and shape of specific regions within this pathway can distinguish between atypical Parkinsonian disorders remains to be determined. This paper investigates striatal and thalamic volume and morphology as distinguishing biomarkers, and their relationship to neuropsychiatric symptoms. Automatic segmentation to calculate volume and shape analysis of the caudate nucleus, putamen, and thalamus were performed in 18 PD patients, 12 MSA, 15 PSP, and 20 healthy controls, then correlated with clinical measures. PSP bilateral thalami and right putamen were significantly smaller than controls, but not MSA or PD. The left caudate and putamen significantly correlated with the Neuropsychiatric Inventory total score. Bilateral thalamus, caudate, and left putamen had significantly different morphology between groups, driven by differences between PSP and healthy controls. This study demonstrated that PSP patient striatal and thalamic volume and shape are significantly different when compared with controls. Parkinsonian disorders could not be differentiated on volumetry or morphology, however there are trends for volumetric and morphological changes associated with PD, MSA, and PSP.

Identifiants

pubmed: 37806261
pii: S0925-4927(23)00129-4
doi: 10.1016/j.pscychresns.2023.111719
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111719

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

M Erlinger (M)

Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University, Canberra, Australia. Electronic address: may.erlinger@act.gov.au.

R Molina-Ruiz (R)

Hospital Clinico San Carlos, Madrid, Spain.

A Brumby (A)

Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University, Canberra, Australia.

D Cordas (D)

Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University, Canberra, Australia.

M Hunter (M)

Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University, Canberra, Australia.

C Ferreiro Arguelles (C)

Neuroradiology Service Hospital Severo Ochoa, Spain.

M Yus (M)

Hospital Clinico San Carlos, Madrid, Spain.

C Owens-Walton (C)

Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University, Canberra, Australia.

D Jakabek (D)

Neuroscience Research Australia, Sydney, Australia.

M Shaw (M)

Hospital Clinico San Carlos, Madrid, Spain.

E Lopez Valdes (E)

Hospital Clinico San Carlos, Madrid, Spain.

J C L Looi (JCL)

Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University, Canberra, Australia.

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Classifications MeSH