Thalamic and striato-pallidal volumes in schizophrenia patients and individuals at risk for psychosis: A multi-atlas segmentation study.


Journal

Schizophrenia research
ISSN: 1573-2509
Titre abrégé: Schizophr Res
Pays: Netherlands
ID NLM: 8804207

Informations de publication

Date de publication:
05 2022
Historique:
received: 24 01 2020
revised: 11 04 2020
accepted: 13 04 2020
pubmed: 26 5 2020
medline: 15 6 2022
entrez: 26 5 2020
Statut: ppublish

Résumé

Despite previous neuroimaging studies demonstrating morphological abnormalities of the thalamus and other subcortical structures in patients with schizophrenia, the potential role of the thalamus and its subdivisions in the pathophysiology of this illness remains elusive. It is also unclear whether similar changes of these structures occur in individuals at high risk for psychosis. In this study, magnetic resonance imaging was employed with the Multiple Automatically Generated Templates (MAGeT) brain segmentation algorithm to determine volumes of the thalamic subdivisions, the striatum (caudate, putamen, and nucleus accumbens), and the globus pallidus in 62 patients with schizophrenia, 38 individuals with an at-risk mental state (ARMS) [4 of whom (10.5%) subsequently developed schizophrenia], and 61 healthy subjects. Cognitive function of the patients was assessed by using the Brief Assessment of Cognition in Schizophrenia (BACS) and the Schizophrenia Cognition Rating Scale (SCoRS). Thalamic volume (particularly the medial dorsal and ventral lateral nuclei) was smaller in the schizophrenia group than the ARMS and control groups, while there were no differences for the striatum and globus pallidus. In the schizophrenia group, the reduction of thalamic ventral lateral nucleus volume was significantly associated with lower BACS score. The pallidal volume was positively correlated with the dose of antipsychotic treatment in the schizophrenia group. These results suggest that patients with schizophrenia, but not those with ARMS, exhibit volume reduction in specific thalamic subdivisions, which may underlie core clinical features of this illness.

Identifiants

pubmed: 32448678
pii: S0920-9964(20)30223-1
doi: 10.1016/j.schres.2020.04.016
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

268-275

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Tsutomu Takahashi (T)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan. Electronic address: tsutomu@med.u-toyama.ac.jp.

Sakiko Tsugawa (S)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Shinichiro Nakajima (S)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Eric Plitman (E)

Computational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Institute, Verdun, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada.

M Mallar Chakravarty (MM)

Computational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Institute, Verdun, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada.

Fumi Masuda (F)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Masataka Wada (M)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Shin Kurose (S)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Ryo Ochi (R)

Faculty of Environment and Information Studies, Keio University, Tokyo, Japan.

Karin Matsushita (K)

Faculty of Environment and Information Studies, Keio University, Tokyo, Japan.

Daiki Sasabayashi (D)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Mihoko Nakamura (M)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Yumiko Nishikawa (Y)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Yoichiro Takayanagi (Y)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan; Arisawabashi Hospital, Toyama, Japan.

Shimako Nishiyama (S)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan; Center for Health Care and Human Sciences, University of Toyama, Toyama, Japan.

Yuko Higuchi (Y)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Yuko Mizukami (Y)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Atsushi Furuichi (A)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Mikio Kido (M)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

Ryota Hashimoto (R)

Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan.

Kyo Noguchi (K)

Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.

Shinya Fujii (S)

Faculty of Environment and Information Studies, Keio University, Tokyo, Japan.

Masaru Mimura (M)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Yoshihiro Noda (Y)

Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Michio Suzuki (M)

Department of Neuropsychiatry, University of Toyama School of Medicine, Toyama, Japan.

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