Suppr超能文献

反应性和无反应性精神分裂症治疗前解剖学和功能性皮质异常的多模态融合分析

A Multimodal Fusion Analysis of Pretreatment Anatomical and Functional Cortical Abnormalities in Responsive and Non-responsive Schizophrenia.

作者信息

Yao Chenyang, Hu Na, Cao Hengyi, Tang Biqiu, Zhang Wenjing, Xiao Yuan, Zhao Youjin, Gong Qiyong, Lui Su

机构信息

Department of Radiology, Huaxi Magnetic Resonance Research Center, West China Hospital, Sichuan University, Chengdu, China.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Front Psychiatry. 2021 Dec 1;12:737179. doi: 10.3389/fpsyt.2021.737179. eCollection 2021.

Abstract

Antipsychotic medications provide limited long-term benefit to ~30% of schizophrenia patients. Multimodal magnetic resonance imaging (MRI) data have been used to investigate brain features between responders and nonresponders to antipsychotic treatment; however, these analytical techniques are unable to weigh the interrelationships between modalities. Here, we used multiset canonical correlation and joint independent component analysis (mCCA + jICA) to fuse MRI data to examine the shared and specific multimodal features between the patients and healthy controls (HCs) and between the responders and non-responders. Resting-state functional and structural MRI data were collected from 55 patients with drug-naïve first-episode schizophrenia (FES) and demographically matched HCs. Based on the decrease in Positive and Negative Syndrome Scale scores from baseline to the 1-year follow-up, FES patients were divided into a responder group (RG) and a non-responder group (NRG). Gray matter volume (GMV), fractional amplitude of low-frequency fluctuation (fALFF), and regional homogeneity (ReHo) maps were used as features in mCCA + jICA. Between FES patients and HCs, there were three modality-specific discriminative independent components (ICs) showing the difference in mixing coefficients (GMV-IC7, GMV-IC8, and fALFF-IC5). The fusion analysis indicated one modality-shared IC (GMV-IC2 and ReHo-IC2) and three modality-specific ICs (GMV-IC1, GMV-IC3, and GMV-IC6) between the RG and NRG. The right postcentral gyrus showed a significant difference in GMV features between FES patients and HCs and modality-shared features (GMV and ReHo) between responders and nonresponders. The modality-shared component findings were highlighted by GMV, mainly in the bilateral temporal gyrus and the right cerebellum associated with ReHo in the right postcentral gyrus. This study suggests that joint anatomical and functional features of the cortices may reflect an early pathophysiological mechanism that is related to a 1-year treatment response.

摘要

抗精神病药物仅对约30%的精神分裂症患者有有限的长期益处。多模态磁共振成像(MRI)数据已被用于研究抗精神病治疗反应者与无反应者之间的脑特征;然而,这些分析技术无法衡量各模态之间的相互关系。在此,我们使用多集典型相关分析和联合独立成分分析(mCCA + jICA)来融合MRI数据,以检查患者与健康对照(HCs)之间以及反应者与无反应者之间共享的和特定的多模态特征。从55例未服用过药物的首发精神分裂症(FES)患者和人口统计学匹配的HCs中收集静息态功能和结构MRI数据。根据从基线到1年随访期间阳性和阴性症状量表评分的降低情况,将FES患者分为反应者组(RG)和无反应者组(NRG)。灰质体积(GMV)、低频波动分数振幅(fALFF)和局部一致性(ReHo)图被用作mCCA + jICA中的特征。在FES患者和HCs之间,有三个模态特异性判别独立成分(ICs)显示出混合系数的差异(GMV-IC7、GMV-IC8和fALFF-IC5)。融合分析表明,RG和NRG之间有一个模态共享IC(GMV-IC2和ReHo-IC2)和三个模态特异性IC(GMV-IC1、GMV-IC3和GMV-IC6)。右侧中央后回在FES患者和HCs之间的GMV特征以及反应者与无反应者之间的模态共享特征(GMV和ReHo)方面存在显著差异。模态共享成分的发现以GMV突出显示,主要在双侧颞叶回以及与右侧中央后回的ReHo相关的右侧小脑。这项研究表明,皮质的联合解剖和功能特征可能反映了一种与1年治疗反应相关的早期病理生理机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa2f/8671303/3dc778891281/fpsyt-12-737179-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验