Less reduced gray matter volume in the subregions of superior temporal gyrus predicts better treatment efficacy in drug-naive, first-episode schizophrenia.
Gray matter volume
Pattern classification
Schizophrenia
Superior temporal gyrus
Voxel-based morphometry
Journal
Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
accepted:
02
09
2020
pubmed:
10
10
2020
medline:
7
9
2021
entrez:
9
10
2020
Statut:
ppublish
Résumé
Decreased gray matter volume (GMV) in the superior temporal gyrus (STG) has been implicated in the neurophysiology of schizophrenia. However, it remains unclear whether volumetric reduction in the subregions of the STG can predict treatment efficacy for schizophrenia. Our cohort included 44 drug-naive, first-episode patients, 42 unaffected siblings and 44 healthy controls. Voxel-based morphometry and pattern classification were utilized to analyze the acquired imaging data as per the anatomical subdivision by a well-defined brainnetome atlas. The patients presented lower GMV values in left TE1.0/1.2 (TE, anterior temporal visual association area) than the siblings, and lower GMV values in the left/right TE1.0/1.2 and left A22r (rostral area 22) than the controls. A positive correlation is observed between the GMV values in the right A38l (lateral area 38) and baseline Positive and Negative Syndrome Scale (PANSS) total scores in the patients. Support vector regression (SVR) results exhibited a significant association between predicted (based on the GMV values in the right A38l) and actual symptomatic improvement based on the reduction ratio of the PANSS total scores (r = 0.498, p = 0.001). Our results suggest that normal structure in the right A38l of the STG may be an important factor indicative of the effects of antipsychotic drugs, which can be potentially used to monitor drug effects for first-episode patients at an early stage in clinical practice.
Identifiants
pubmed: 33033986
doi: 10.1007/s11682-020-00393-5
pii: 10.1007/s11682-020-00393-5
doi:
Substances chimiques
Pharmaceutical Preparations
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1997-2004Subventions
Organisme : National Key R&D Program of China
ID : 2016YFC1307100
Organisme : National Key R&D Program of China
ID : 2016YFC1306900
Organisme : National Natural Science Foundation of China
ID : 81771447
Organisme : National Natural Science Foundation of China
ID : 81630033
Informations de copyright
© 2020. Springer Science+Business Media, LLC, part of Springer Nature.
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