Department of Psychology, Northeastern University, Boston, MA.
Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Massachusetts General Hospital, Boston, MA.
Schizophr Bull. 2021 Aug 21;47(5):1421-1430. doi: 10.1093/schbul/sbab038.
The cerebellum serves a wide range of functions and is suggested to be composed of discrete regions dedicated to unique functions. We recently developed a new parcellation of the dentate nuclei (DN), the major output nuclei of the cerebellum, which optimally divides the structure into 3 functional territories that contribute uniquely to default-mode, motor-salience, and visual processing networks as indexed by resting-state functional connectivity (RsFc). Here we test for the first time whether RsFc differences in the DN, precede the onset of psychosis in individuals at risk of developing schizophrenia.
We used the magnetic resonance imaging (MRI) dataset from the Shanghai At Risk for Psychosis study that included subjects at high risk to develop schizophrenia (N = 144), with longitudinal follow-up to determine which subjects developed a psychotic episode within 1 year of their functional magnetic resonance imaging (fMRI) scan (converters N = 23). Analysis used the 3 functional parcels (default-mode, salience-motor, and visual territory) from the DN as seed regions of interest for whole-brain RsFc analysis.
RsFc analysis revealed abnormalities at baseline in high-risk individuals who developed psychosis, compared to high-risk individuals who did not develop psychosis. The nature of the observed abnormalities was found to be anatomically specific such that abnormal RsFc was localized predominantly in cerebral cortical networks that matched the 3 functional territories of the DN that were evaluated.
We show for the first time that abnormal RsFc of the DN may precede the onset of psychosis. This new evidence highlights the role of the cerebellum as a potential target for psychosis prediction and prevention.
小脑具有广泛的功能,被认为由专门负责独特功能的离散区域组成。我们最近开发了一种新的齿状核(DN)分割方法,DN 是小脑的主要输出核,它能将结构最佳地分为 3 个功能区,这些功能区分别为默认模式、运动突显和视觉处理网络做出独特贡献,这可以通过静息态功能连接(RsFc)来衡量。这里我们首次测试了小脑的 RsFc 差异是否会在个体出现精神分裂症风险之前出现,而这些个体存在精神病发作的风险。
我们使用了来自上海精神病高危人群研究的磁共振成像(MRI)数据集,该数据集包括有发展为精神分裂症风险的个体(N=144),进行纵向随访以确定哪些个体在其功能磁共振成像(fMRI)扫描后的 1 年内出现了精神病发作(转换者 N=23)。分析使用了来自 DN 的 3 个功能区(默认模式、突显-运动和视觉区域)作为全脑 RsFc 分析的感兴趣区种子。
与未发展为精神病的高危个体相比,在发展为精神病的高危个体中,基线时的 RsFc 分析显示出异常。观察到的异常的性质具有解剖学特异性,即异常的 RsFc 主要位于与评估的 DN 的 3 个功能区相匹配的大脑皮质网络中。
我们首次表明,DN 的异常 RsFc 可能先于精神病的发作。这一新证据强调了小脑作为精神病预测和预防的潜在靶点的作用。