Torres Ulysses S, Duran Fabio L S, Schaufelberger Maristela S, Crippa José A S, Louzã Mario R, Sallet Paulo C, Kanegusuku Caroline Y O, Elkis Helio, Gattaz Wagner F, Bassitt Débora P, Zuardi Antonio W, Hallak Jaime Eduardo C, Leite Claudia C, Castro Claudio C, Santos Antonio Carlos, Murray Robin M, Busatto Geraldo F
Post-Graduation Program in Radiology, Institute of Radiology (INRAD), Faculty of Medicine, University of São Paulo, Brazil; Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil.
Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil.
Neuroimage Clin. 2016 Jun 3;12:1-15. doi: 10.1016/j.nicl.2016.06.002. eCollection 2016.
Structural brain abnormalities in schizophrenia have been repeatedly demonstrated in magnetic resonance imaging (MRI) studies, but it remains unclear whether these are static or progressive in nature. While longitudinal MRI studies have been traditionally used to assess the issue of progression of brain abnormalities in schizophrenia, information from cross-sectional neuroimaging studies directly comparing first-episode and chronic schizophrenia patients to healthy controls may also be useful to further clarify this issue. With the recent interest in multisite mega-analyses combining structural MRI data from multiple centers aiming at increased statistical power, the present multisite voxel-based morphometry (VBM) study was carried out to examine patterns of brain structural changes according to the different stages of illness and to ascertain which (if any) of such structural abnormalities would be specifically correlated to potential clinical moderators, including cumulative exposure to antipsychotics, age of onset, illness duration and overall illness severity.
We gathered a large sample of schizophrenia patients (161, being 99 chronic and 62 first-episode) and controls (151) from four previous morphometric MRI studies (1.5 T) carried out in the same geographical region of Brazil. Image processing and analyses were conducted using Statistical Parametric Mapping (SPM8) software with the diffeomorphic anatomical registration through exponentiated Lie algebra (DARTEL) algorithm. Group effects on regional gray matter (GM) volumes were investigated through whole-brain voxel-wise comparisons using General Linear Model Analysis of Co-variance (ANCOVA), always including total GM volume, scan protocol, age and gender as nuisance variables. Finally, correlation analyses were performed between the aforementioned clinical moderators and regional and global brain volumes.
First-episode schizophrenia subjects displayed subtle volumetric deficits relative to controls in a circumscribed brain regional network identified only in small volume-corrected (SVC) analyses (p < 0.05, FWE-corrected), including the insula, temporolimbic structures and striatum. Chronic schizophrenia patients, on the other hand, demonstrated an extensive pattern of regional GM volume decreases relative to controls, involving bilateral superior, inferior and orbital frontal cortices, right middle frontal cortex, bilateral anterior cingulate cortices, bilateral insulae and right superior and middle temporal cortices (p < 0.05, FWE-corrected over the whole brain). GM volumes in several of those brain regions were directly correlated with age of disease onset on SVC analyses for conjoined (first-episode and chronic) schizophrenia groups. There were also widespread foci of significant negative correlation between duration of illness and relative GM volumes, but such findings remained significant only for the right dorsolateral prefrontal cortex after accounting for the influence of age of disease onset. Finally, significant negative correlations were detected between life-time cumulative exposure to antipsychotics and total GM and white matter volumes in schizophrenia patients, but no significant relationship was found between indices of antipsychotic usage and relative GM volume in any specific brain region.
The above data indicate that brain changes associated with the diagnosis of schizophrenia are more widespread in chronic schizophrenia compared to first-episode patients. Our findings also suggest that relative GM volume deficits may be greater in (presumably more severe) cases with earlier age of onset, as well as varying as a function of illness duration in specific frontal brain regions. Finally, our results highlight the potentially complex effects of the continued use of antipsychotic drugs on structural brain abnormalities in schizophrenia, as we found that cumulative doses of antipsychotics affected brain volumes globally rather than selectively on frontal-temporal regions.
精神分裂症患者大脑结构异常已在磁共振成像(MRI)研究中反复得到证实,但这些异常在本质上是静态的还是进行性的仍不清楚。虽然纵向MRI研究传统上用于评估精神分裂症患者大脑异常的进展问题,但来自横断面神经影像学研究的信息,即将首发和慢性精神分裂症患者与健康对照直接进行比较,可能也有助于进一步阐明这一问题。随着近期人们对多中心大型分析的兴趣增加,这类分析旨在通过合并多个中心的结构MRI数据以提高统计效力,本多中心基于体素的形态学测量(VBM)研究得以开展,以检查根据疾病不同阶段的大脑结构变化模式,并确定哪些(如果有的话)此类结构异常会与潜在的临床调节因素存在特异性关联,这些调节因素包括抗精神病药物的累积暴露量、发病年龄、病程和总体疾病严重程度。
我们从巴西同一地理区域先前开展的四项形态学MRI研究(1.5T)中收集了大量精神分裂症患者样本(161例,其中99例为慢性患者,62例为首发患者)和对照样本(151例)。使用统计参数映射(SPM8)软件并通过指数李代数(DARTEL)算法进行图像配准,从而进行图像处理和分析。通过全脑体素水平比较,使用协方差的一般线性模型分析(ANCOVA)研究组间对区域灰质(GM)体积的影响,分析中始终将总GM体积、扫描协议、年龄和性别作为干扰变量。最后,在上述临床调节因素与区域及全脑体积之间进行相关性分析。
在仅经小体积校正(SVC)分析确定的一个局限的脑区网络中,首发精神分裂症受试者相对于对照显示出细微的体积减少(p < 0.05,FWE校正),包括脑岛、颞叶边缘结构和纹状体。另一方面,慢性精神分裂症患者相对于对照表现出广泛的区域GM体积减少模式,涉及双侧额上回、额中回、额下回、眶额皮质、右侧额中回、双侧前扣带回皮质以及双侧脑岛和右侧颞上回及颞中回(p < 0.05,全脑FWE校正)。在SVC分析中,对于合并的(首发和慢性)精神分裂症组,上述几个脑区的GM体积与疾病发病年龄直接相关。病程与相对GM体积之间也存在广泛的显著负相关焦点,但在考虑疾病发病年龄的影响后,此类发现仅在右侧背外侧前额叶皮质仍具有显著性。最后,在精神分裂症患者中,检测到抗精神病药物的终生累积暴露量与总GM体积和白质体积之间存在显著负相关,但在任何特定脑区,未发现抗精神病药物使用指标与相对GM体积之间存在显著关系。
上述数据表明,与精神分裂症诊断相关的大脑变化在慢性精神分裂症患者中比首发患者更为广泛。我们的研究结果还表明,在(可能更严重的)发病年龄较早的病例中,相对GM体积缺陷可能更大,并且在特定额叶脑区中会随病程而变化。最后,我们的结果突出了持续使用抗精神病药物对精神分裂症患者大脑结构异常的潜在复杂影响,因为我们发现抗精神病药物的累积剂量对全脑体积有影响,而不是选择性地对额颞区域有影响。