Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, 45227, USA.
Transl Psychiatry. 2022 May 6;12(1):189. doi: 10.1038/s41398-022-01939-5.
Magnetization transfer imaging (MTI) may provide more sensitivity and mechanistic understanding of neuropathological changes associated with schizophrenia than volumetric MRI. This study aims to identify brain magnetization transfer ratio (MTR) changes in antipsychotic-naïve first-episode schizophrenia (FES), and to correlate MTR findings with clinical symptom severity. A total of 143 individuals with antipsychotic-naïve FES and 147 healthy controls (HCs) were included and underwent 3.0 T brain MTI between August 2005 and July 2014. Voxelwise analysis was performed to test for MTR differences with family-wise error corrections. Relationships of these differences to symptom severity were assessed using partial correlations. Exploratory analyses using a support vector machine (SVM) classifier were conducted to discriminate FES from HCs using MTR maps. Model performance was examined using a 10-fold stratified cross-validation. Compared with HCs, individuals with FES exhibited higher MTR values in left thalamus, precuneus, cuneus, and paracentral lobule, that were positively correlated with schizophrenia symptom severity [precuneus (r = 0.34, P = 0.0004), cuneus (r = 0.33, P = 0.0006) and paracentral lobule (r = 0.37, P = 0.001)]. Whole-brain MTR maps identified individuals with FES with overall accuracy 75.5% (219 of 290 individuals) based on SVM approach. In antipsychotic-naïve FES, clinically relevant biophysical abnormalities detected by MTI mainly in the left parieto-occipital regions are informative about local brain pathology, and have potential as diagnostic markers.
磁化传递成像(MTI)可能比容积 MRI 更能敏感地提供与精神分裂症相关的神经病理学变化的机制理解。本研究旨在确定未经抗精神病药物治疗的首发精神分裂症(FES)的脑磁化传递率(MTR)变化,并将 MTR 发现与临床症状严重程度相关联。共有 143 名未经抗精神病药物治疗的 FES 患者和 147 名健康对照者(HCs)参与了研究,并于 2005 年 8 月至 2014 年 7 月期间接受了 3.0T 脑部 MTI。采用全脑分析进行了体素分析,以测试有家族错误纠正的 MTR 差异。使用偏相关评估这些差异与症状严重程度之间的关系。使用支持向量机(SVM)分类器进行了探索性分析,以使用 MTR 图谱区分 FES 和 HCs。使用 10 折分层交叉验证来检查模型性能。与 HCs 相比,FES 患者左丘脑、楔前叶、楔叶和中央旁小叶的 MTR 值较高,与精神分裂症症状严重程度呈正相关[楔前叶(r=0.34,P=0.0004),楔叶(r=0.33,P=0.0006)和中央旁小叶(r=0.37,P=0.001)]。基于 SVM 方法的全脑 MTR 图谱可识别 FES 患者,总体准确率为 75.5%(290 名患者中的 219 名)。在未经抗精神病药物治疗的 FES 中,MTI 检测到的主要位于左顶枕叶区域的临床相关生物物理异常与局部脑病理学有关,并且具有作为诊断标志物的潜力。