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未用药和用药的精神分裂症患者神经解剖结构与认知之间的多变量关联。

Multivariate associations between neuroanatomy and cognition in unmedicated and medicated individuals with schizophrenia.

作者信息

Zhao Qiannan, Gao Ziyang, Yu Wei, Xiao Yuan, Hu Na, Wei Xia, Tao Bo, Zhu Fei, Li Siyi, Lui Su

机构信息

Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.

Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.

出版信息

Schizophrenia (Heidelb). 2024 Jul 14;10(1):62. doi: 10.1038/s41537-024-00482-0.

Abstract

Previous studies that focused on univariate correlations between neuroanatomy and cognition in schizophrenia identified some inconsistent findings. Moreover, antipsychotic medication may impact the brain-behavior profiles in affected individuals. It remains unclear whether unmedicated and medicated individuals with schizophrenia would share common neuroanatomy-cognition associations. Therefore, we aimed to investigate multivariate neuroanatomy-cognition relationships in both groups. A sample of 59 drug-naïve individuals with first-episode schizophrenia (FES) and a sample of 115 antipsychotic-treated individuals with schizophrenia were finally included. Multivariate modeling was conducted in the two patient samples between multiple cognitive domains and neuroanatomic features, such as cortical thickness (CT), cortical surface area (CSA), and subcortical volume (SV). We observed distinct multivariate correlational patterns between the two samples of individuals with schizophrenia. In the FES sample, better performance in token motor, symbol coding, and verbal fluency tests was associated with greater thalamic volumes but lower CT in the prefrontal and anterior cingulate cortices. Two significant multivariate correlations were identified in antipsychotic-treated individuals: 1) worse verbal memory performance was related to smaller volumes for the most subcortical structures and smaller CSA mainly in the temporal regions and inferior parietal lobule; 2) a lower symbol coding test score was correlated with smaller CSA in the right parahippocampal gyrus but greater volume in the right caudate. These multivariate patterns were sample-specific and not confounded by imaging quality, illness duration, antipsychotic dose, or psychopathological symptoms. Our findings may help to understand the neurobiological basis of cognitive impairments and the development of cognition-targeted interventions.

摘要

以往聚焦于精神分裂症神经解剖学与认知之间单变量相关性的研究得出了一些不一致的结果。此外,抗精神病药物可能会影响受影响个体的脑-行为特征。目前尚不清楚未服药和服药的精神分裂症患者是否会有共同的神经解剖学-认知关联。因此,我们旨在研究两组患者的多变量神经解剖学-认知关系。最终纳入了59例首次发作精神分裂症(FES)的未服药个体样本和115例接受抗精神病药物治疗的精神分裂症个体样本。在两个患者样本中对多个认知领域与神经解剖学特征进行了多变量建模,这些特征包括皮质厚度(CT)、皮质表面积(CSA)和皮质下体积(SV)。我们观察到精神分裂症患者的两个样本之间存在不同的多变量相关模式。在FES样本中,在标记运动、符号编码和言语流畅性测试中表现更好与丘脑体积更大但前额叶和前扣带回皮质的CT更低有关。在接受抗精神病药物治疗的个体中发现了两个显著的多变量相关性:1)言语记忆表现较差与大多数皮质下结构体积较小以及主要在颞叶区域和顶下小叶的CSA较小有关;2)符号编码测试得分较低与右侧海马旁回的CSA较小但右侧尾状核体积较大有关。这些多变量模式是样本特异性的,不受成像质量、病程、抗精神病药物剂量或精神病理症状的混淆。我们的研究结果可能有助于理解认知障碍的神经生物学基础以及针对认知的干预措施的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c7/11247086/d4c89e752e5e/41537_2024_482_Fig1_HTML.jpg

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