Motor abnormalities in schizophrenia spectrum disorders (SSD) have increasingly attracted scientific interest in the past years. However, the neural mechanisms underlying parkinsonism in SSD are unclear. The present multimodal magnetic resonance imaging (MRI) study examined SSD patients with and without parkinsonism, as defined by a Simpson and Angus Scale (SAS) total score of ≥4 (SAS group, n = 22) or <4 (non-SAS group, n = 22). Parallel independent component analysis (p-ICA) was used to examine the covarying components among gray matter volume maps computed from structural MRI (sMRI) and fractional amplitude of low-frequency fluctuations (fALFF) maps computed from resting-state functional MRI (rs-fMRI) patient data. We found a significant correlation (P = .020, false discovery rate [FDR] corrected) between an sMRI component and an rs-fMRI component, which also significantly differed between the SAS and non-SAS group (P = .042, z = −2.04). The rs-fMRI component comprised the cortical sensorimotor network, and the sMRI component included predominantly a frontothalamic/cerebellar network. Across the patient sample, correlations adjusted for the Positive and Negative Syndrome Scale (PANSS) total scores showed a significant relationship between tremor score and loadings of the cortical sensorimotor network, as well as between glabella-salivation score, frontothalamic/cerebellar and cortical sensorimotor network loadings. These data provide novel insights into neural mechanisms of parkinsonism in SSD. Aberrant bottom-up modulation of cortical motor regions may account for these specific motor symptoms, at least in patients with SSD.

中文翻译：

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精神分裂症频谱障碍患者帕金森氏症的神经信号：使用并行ICA的多模式MRI研究。

在过去的几年中，精神分裂症谱系障碍（SSD）中的运动异常已引起越来越多的科学兴趣。但是，尚不清楚SSD中帕金森氏症的神经机制。当前的多峰磁共振成像（MRI）研究检查了有或没有帕金森氏症的SSD患者，Simpson和Angus量表（SAS）总分≥4（SAS组，n = 22）或<4（非SAS组） ，n = 22）。平行独立成分分析（p-ICA）用于检查结构MRI（sMRI）计算的灰质体积图和静息状态功能MRI（rs-）计算的低频波动图幅值（fALFF）的共变分量fMRI）患者数据。我们发现一个显着的相关性（P= .020，在sMRI组件和rs-fMRI组件之间的错误发现率[FDR]得到纠正，这在SAS组和非SAS组之间也存在显着差异（P = .042，z= -2.04）。rs-fMRI组件包含皮质感觉运动网络，而sMRI组件主要包含前丘脑/小脑网络。在整个患者样本中，针对正综合症状量表和负综合症状量表（PANSS）进行的校正后的相关性显示，震颤评分与皮质感觉运动网络负荷之间以及glabella唾液化评分，前丘脑/小脑和皮质感觉运动网络之间存在显着相关性加载。这些数据提供了对SSD中帕金森氏症神经机制的新颖见解。至少在患有SSD的患者中，皮质运动区的自下而上的调制可能会导致这些特定的运动症状。