Literature DB >> 32062167

Hippocampus and cognitive domain deficits in treatment-resistant schizophrenia: A comparison with matched treatment-responsive patients and healthy controls✰,✰✰,★,★★.

Junchao Huang1, Yu Zhu1, Fengmei Fan1, Song Chen1, Yuan Hong2, Yimin Cui3, Xingguang Luo4, Shuping Tan1, Zhiren Wang1, Lan Shang1, Ying Yuan5, Jianxin Zhang1, Fude Yang1, Chiang-Shan R Li4, Laura M Rowland6, Peter Kochunov6, Fengyu Zhang7, L Elliot Hong6, Yunlong Tan8.   

Abstract

Some patients with schizophrenia do not respond to pharmacotherapy. More severe cognitive dysfunctions have been associated with treatment-resistant schizophrenia (TRS). This study examines cognitive functions and hippocampal volumes in 43 patients with TRS and compared them to 43 treatment-responsive patients (NTRS), matched on age, sex and education, as well as 53 healthy controls (HC). The results showed that there were significant deficits in all domains of cognition and hippocampal volumes in TRS as compared to HC group. However, TRS specific deficits, as indicated by comparisons with matched NTRS, were limited to poorer performance in working memory (p = 0.003) and smaller total hippocampal volume (p = 0.01). Logistic regression analysis showed that working memory deficits [OR 0.94 (95% CI 0.89-0.98), p = 0.005] and smaller hippocampal volume [OR 0.89 (95% CI 0.81-0.97), p = 0.01], but not their interactions (p = 0.68), contributed to higher risk of treatment resistance. The findings suggest that treatment-resistance to currently available antipsychotic medications may not be due to global cognitive deficits in these patients, but be associated with specific deficits in working memory and hippocampus deficits in the subgroup of schizophrenia.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognition; Hippocampus; MRI; Schizophrenia; Treatment-resistant

Year:  2020        PMID: 32062167      PMCID: PMC7490244          DOI: 10.1016/j.pscychresns.2020.111043

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


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