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Translating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-05-28 , DOI: 10.1002/hbm.25045 Peter Kochunov 1 , Fengmei Fan 2 , Meghann C Ryan 1 , Kathryn S Hatch 1 , Shuping Tan 2 , Neda Jahanshad 3 , Paul M Thompson 3 , Theo G M van Erp 4 , Jessica A Turner 5 , Shuo Chen 1 , Xiaoming Du 1 , Bhim Adhikari 1 , Heather Bruce 1 , Stephanie Hare 1 , Eric Goldwaser 1 , Mark Kvarta 1 , Junchao Huang 2 , Jinghui Tong 2 , Yimin Cui 6 , Baopeng Cao 2 , Yunlong Tan 2 , L Elliot Hong 1
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-05-28 , DOI: 10.1002/hbm.25045 Peter Kochunov 1 , Fengmei Fan 2 , Meghann C Ryan 1 , Kathryn S Hatch 1 , Shuping Tan 2 , Neda Jahanshad 3 , Paul M Thompson 3 , Theo G M van Erp 4 , Jessica A Turner 5 , Shuo Chen 1 , Xiaoming Du 1 , Bhim Adhikari 1 , Heather Bruce 1 , Stephanie Hare 1 , Eric Goldwaser 1 , Mark Kvarta 1 , Junchao Huang 2 , Jinghui Tong 2 , Yimin Cui 6 , Baopeng Cao 2 , Yunlong Tan 2 , L Elliot Hong 1
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Patients with schizophrenia have patterns of brain deficits including reduced cortical thickness, subcortical gray matter volumes, and cerebral white matter integrity. We proposed the regional vulnerability index (RVI) to translate the results of Enhancing Neuro Imaging Genetics Meta-Analysis studies to the individual level. We calculated RVIs for cortical, subcortical, and white matter measurements and a multimodality RVI. We evaluated RVI as a measure sensitive to schizophrenia-specific neuroanatomical deficits and symptoms and studied the timeline of deficit formations in: early (≤5 years since diagnosis, N = 45, age = 28.8 ± 8.5); intermediate (6–20 years, N = 30, age 43.3 ± 8.6); and chronic (21+ years, N = 44, age = 52.5 ± 5.2) patients and healthy controls (N = 76, age = 38.6 ± 12.4). All RVIs were significantly elevated in patients compared to controls, with the multimodal RVI showing the largest effect size, followed by cortical, white matter and subcortical RVIs (d = 1.57, 1.23, 1.09, and 0.61, all p < 10−6). Multimodal RVI was significantly correlated with multiple cognitive variables including measures of visual learning, working memory and the total score of the MATRICS consensus cognitive battery, and with negative symptoms. The multimodality and white matter RVIs were significantly elevated in the intermediate and chronic versus early diagnosis group, consistent with ongoing progression. Cortical RVI was stable in the three disease-duration groups, suggesting neurodevelopmental origins of cortical deficits. In summary, neuroanatomical deficits in schizophrenia affect the entire brain; the heterochronicity of their appearance indicates both the neurodevelopmental and progressive nature of this illness. These deficit patterns may be useful for early diagnosis and as quantitative targets for more effective treatment strategies aiming to alter these neuroanatomical deficit patterns.
中文翻译：
使用区域脆弱性指数翻译 ENIGMA 精神分裂症的发现：与认知、症状和疾病轨迹的关联
精神分裂症患者存在大脑缺陷模式，包括皮质厚度减少、皮质下灰质体积和大脑白质完整性。我们提出了区域脆弱性指数 (RVI)，以将增强神经影像遗传学 Meta 分析研究的结果转化为个体水平。我们计算了皮质、皮质下和白质测量的 RVI 和多模态 RVI。我们评估了 RVI 作为对精神分裂症特异性神经解剖缺陷和症状敏感的测量方法，并研究了缺陷形成的时间线：早期（诊断后≤5 年，N = 45，年龄 = 28.8 ± 8.5）；中级（6-20 岁，N = 30，年龄 43.3 ± 8.6）；和慢性（21 岁以上，N = 44, 年龄 = 52.5 ± 5.2) 患者和健康对照 ( N = 76, 年龄 = 38.6 ± 12.4)。与对照组相比，患者的所有 RVI 均显着升高，多模式 RVI 显示最大的影响大小，其次是皮质、白质和皮质下 RVI ( d = 1.57、1.23、1.09 和 0.61，均p < 10 -6）。多模式 RVI 与多个认知变量（包括视觉学习、工作记忆和 MATRICS 共识认知电池的总分）显着相关，并且与阴性症状显着相关。与早期诊断组相比，中期和慢性诊断组的多模态和白质 RVI 显着升高，与持续进展一致。皮质 RVI 在三个病程组中稳定，表明皮质缺陷的神经发育起源。总之，精神分裂症的神经解剖学缺陷会影响整个大脑。它们外观的异时性表明了这种疾病的神经发育和进行性。
更新日期：2020-05-28
中文翻译：
使用区域脆弱性指数翻译 ENIGMA 精神分裂症的发现：与认知、症状和疾病轨迹的关联
精神分裂症患者存在大脑缺陷模式，包括皮质厚度减少、皮质下灰质体积和大脑白质完整性。我们提出了区域脆弱性指数 (RVI)，以将增强神经影像遗传学 Meta 分析研究的结果转化为个体水平。我们计算了皮质、皮质下和白质测量的 RVI 和多模态 RVI。我们评估了 RVI 作为对精神分裂症特异性神经解剖缺陷和症状敏感的测量方法，并研究了缺陷形成的时间线：早期（诊断后≤5 年，N = 45，年龄 = 28.8 ± 8.5）；中级（6-20 岁，N = 30，年龄 43.3 ± 8.6）；和慢性（21 岁以上，N = 44, 年龄 = 52.5 ± 5.2) 患者和健康对照 ( N = 76, 年龄 = 38.6 ± 12.4)。与对照组相比，患者的所有 RVI 均显着升高，多模式 RVI 显示最大的影响大小，其次是皮质、白质和皮质下 RVI ( d = 1.57、1.23、1.09 和 0.61，均p < 10 -6）。多模式 RVI 与多个认知变量（包括视觉学习、工作记忆和 MATRICS 共识认知电池的总分）显着相关，并且与阴性症状显着相关。与早期诊断组相比，中期和慢性诊断组的多模态和白质 RVI 显着升高，与持续进展一致。皮质 RVI 在三个病程组中稳定，表明皮质缺陷的神经发育起源。总之，精神分裂症的神经解剖学缺陷会影响整个大脑。它们外观的异时性表明了这种疾病的神经发育和进行性。
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