Maggioni Eleonora, Crespo-Facorro Benedicto, Nenadic Igor, Benedetti Francesco, Gaser Christian, Sauer Heinrich, Roiz-Santiañez Roberto, Poletti Sara, Marinelli Veronica, Bellani Marcella, Perlini Cinzia, Ruggeri Mirella, Altamura A Carlo, Diwadkar Vaibhav A, Brambilla Paolo
Department of Neurosciences and Mental Health, IRCCS Fondazione Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain.
PLoS One. 2017 Nov 14;12(11):e0188000. doi: 10.1371/journal.pone.0188000. eCollection 2017.
Although schizophrenia (SCZ) and bipolar disorder (BD) share elements of pathology, their neural underpinnings are still under investigation. Here, structural Magnetic Resonance Imaging (MRI) data collected from a large sample of BD and SCZ patients and healthy controls (HC) were analyzed in terms of gray matter volume (GMV) using both voxel based morphometry (VBM) and a region of interest (ROI) approach.
The analysis was conducted on two datasets, Dataset1 (802 subjects: 243 SCZ, 176 BD, 383 HC) and Dataset2, a homogeneous subset of Dataset1 (301 subjects: 107 HC, 85 BD and 109 SCZ). General Linear Model analyses were performed 1) at the voxel-level in the whole brain (VBM study), 2) at the regional level in the anatomical regions emerged from the VBM study (ROI study). The GMV comparison across groups was integrated with the analysis of GMV correlates of different clinical dimensions.
The VBM results of Dataset1 showed 1) in BD compared to HC, GMV deficits in right cingulate, superior temporal and calcarine cortices, 2) in SCZ compared to HC, GMV deficits in widespread cortical and subcortical areas, 3) in SCZ compared to BD, GMV deficits in insula and thalamus (p<0.05, cluster family wise error corrected). The regions showing GMV deficits in the BD group were mostly included in the SCZ ones. The ROI analyses confirmed the VBM results at the regional level in most of the clusters from the SCZ vs. HC comparison (p<0.05, Bonferroni corrected). The VBM and ROI analyses of Dataset2 provided further evidence for the enhanced GMV deficits characterizing SCZ. Based on the clinical-neuroanatomical analyses, we cannot exclude possible confounding effects due to 1) age of onset and medication in BD patients, 2) symptoms severity in SCZ patients.
Our study reported both shared and specific neuroanatomical characteristics between the two disorders, suggesting more severe and generalized GMV deficits in SCZ, with a specific role for insula and thalamus.
尽管精神分裂症(SCZ)和双相情感障碍(BD)存在病理学上的共同特征,但其神经基础仍在研究中。在此,我们使用基于体素的形态学测量(VBM)和感兴趣区域(ROI)方法,对从大量BD和SCZ患者以及健康对照(HC)样本中收集的结构磁共振成像(MRI)数据进行灰质体积(GMV)分析。
分析在两个数据集上进行,数据集1(802名受试者:243名SCZ患者、176名BD患者、383名HC)和数据集2,它是数据集1的一个同质子集(301名受试者:107名HC、85名BD患者和109名SCZ患者)。进行了一般线性模型分析:1)在全脑体素水平(VBM研究),2)在VBM研究中出现的解剖区域的区域水平(ROI研究)。跨组的GMV比较与不同临床维度的GMV相关性分析相结合。
数据集1的VBM结果显示:1)与HC相比,BD患者右侧扣带回、颞上回和距状皮质的GMV减少;2)与HC相比,SCZ患者广泛的皮质和皮质下区域的GMV减少;3)与BD相比,SCZ患者岛叶和丘脑的GMV减少(p<0.05,聚类家族误差校正)。BD组中显示GMV减少的区域大多包含在SCZ组中。ROI分析证实了SCZ与HC比较中大多数簇在区域水平的VBM结果(p<0.05,Bonferroni校正)。数据集2的VBM和ROI分析为表征SCZ的GMV减少增强提供了进一步证据。基于临床神经解剖学分析,我们不能排除由于1)BD患者的发病年龄和用药,2)SCZ患者的症状严重程度导致的可能混杂效应。
我们的研究报告了这两种疾病之间共同和特定的神经解剖学特征,表明SCZ存在更严重和普遍的GMV减少,岛叶和丘脑具有特定作用。