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首页> 外文期刊>Psychiatry Research. Neuroimaging >Neurological soft signs (NSS) and gray matter volume (GMV) in first-episode psychosis: An analysis of NSS motor subscores
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Neurological soft signs (NSS) and gray matter volume (GMV) in first-episode psychosis: An analysis of NSS motor subscores

机译:第一集精神病中的神经系统软标志(NSS)和灰质体积(GMV):对NSS电机子科的分析

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摘要

We aimed to study the correlations between gray matter volume and the motor subscores of NSS in first-episode psychosis patients with both, whole brain and region of interest analyses. The structural MRIs of 81 first-episode psychosis patients were analyzed by using voxel-based morphometry (VBM) for SPM. NSS were assessed using the Heidelberg scale. Significant decreases of gray matter volume were correlated to high NSS total scores and, more specifically, frontal, subcortical and cerebellar areas were significantly correlated with increased scores of the subscores Motor Coordination (MoCo) and Complex Motor Tasks (CMT). When applying a stricter statistical correction, only the frontal gyrus and caudate nucleus survived for MoCo; whereas the precentral and superior frontal gyri survived for CMT. When doing regional analyses, using as masks the structures deemed as significant by the whole brain analyses and applying the FWE-correction, the superior frontal gyrus, thalamus and caudate nucleus correlated negatively with MoCo; and the precentral and superior frontal gyri, thalamus and caudate nucleus showed inverse correlations with CMT. These results suggest that cerebral cortex, subcortical structures (thalamus and striatum) and cerebellum are inversely correlated to both motor NSS subscores, the first time a study describes this relationship for all the relevant structures simultaneously. For its part, ROI proves to be effective demonstrating that subcortical structures (thalamus and caudate) are the most affected by motor NSS.
机译:我们旨在研究灰质体积与NSS在第一集精神病患者中的NSS与兴趣区分析的患者中NSS之间的相关性。通过使用基于体素的形态学(VBM)来分析81个第一发作精神病患者的结构MRIS,用于SPM。使用海德堡规模评估了NSS。灰质体积的显着降低与高NSS总分数相关,更具体地,前部,皮质和小脑区域与载波电动机协调(MOCO)和复杂的电动机任务(CMT)的分数显着相关。当施加更严格的统计校正时,仅用于MOCO的额相回流和尾骨;虽然前列和卓越的额相Gyri幸存下来。在进行区域分析时,用作掩模的结构被整体大脑分析和应用FWE校正,较高的额相回到,丘脑和尾骨与MOCO相关的结构;并且前列和优质的额前吉尔蒂,丘脑和尾骨核与CMT呈反比相关性。这些结果表明,脑皮质,皮质结构(丘脑和纹状体)和小脑与电动机NSS子群体相反,第一次同时描述所有相关结构的这种关系。为其部分,ROI证明是有效的,证明皮质结构(丘脑和尾部)受电机NSS受影响最大的影响。

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