Adamu Mohammed Jajere, Qiang Li, Nyatega Charles Okanda, Younis Ayesha, Kawuwa Halima Bello, Jabire Adamu Halilu, Saminu Sani
Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China.
Department of Computer Science, Yobe State University, Damaturu, Nigeria.
Front Psychiatry. 2023 May 19;14:1188603. doi: 10.3389/fpsyt.2023.1188603. eCollection 2023.
Schizophrenia affects about 1% of the global population. In addition to the complex etiology, linking this illness to genetic, environmental, and neurobiological factors, the dynamic experiences associated with this disease, such as experiences of delusions, hallucinations, disorganized thinking, and abnormal behaviors, limit neurological consensuses regarding mechanisms underlying this disease.
In this study, we recruited 72 patients with schizophrenia and 74 healthy individuals matched by age and sex to investigate the structural brain changes that may serve as prognostic biomarkers, indicating evidence of neural dysfunction underlying schizophrenia and subsequent cognitive and behavioral deficits. We used voxel-based morphometry (VBM) to determine these changes in the three tissue structures: the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). For both image processing and statistical analysis, we used statistical parametric mapping (SPM).
Our results show that patients with schizophrenia exhibited a significant volume reduction in both GM and WM. In particular, GM volume reductions were more evident in the frontal, temporal, limbic, and parietal lobe, similarly the WM volume reductions were predominantly in the frontal, temporal, and limbic lobe. In addition, patients with schizophrenia demonstrated a significant increase in the CSF volume in the left third and lateral ventricle regions.
This VBM study supports existing research showing that schizophrenia is associated with alterations in brain structure, including gray and white matter, and cerebrospinal fluid volume. These findings provide insights into the neurobiology of schizophrenia and may inform the development of more effective diagnostic and therapeutic approaches.
精神分裂症影响着全球约1%的人口。除了复杂的病因,将这种疾病与遗传、环境和神经生物学因素联系起来外,与该疾病相关的动态体验,如妄想、幻觉、思维紊乱和异常行为等,限制了关于该疾病潜在机制的神经学共识。
在本研究中,我们招募了72名精神分裂症患者和74名年龄及性别匹配的健康个体,以研究可能作为预后生物标志物的脑结构变化,这些变化表明精神分裂症潜在的神经功能障碍以及随后的认知和行为缺陷。我们使用基于体素的形态测量法(VBM)来确定三种组织结构中的这些变化:灰质(GM)、白质(WM)和脑脊液(CSF)。对于图像处理和统计分析,我们使用了统计参数映射(SPM)。
我们的结果表明,精神分裂症患者的灰质和白质体积均显著减少。特别是,灰质体积减少在额叶、颞叶、边缘叶和顶叶更为明显,同样,白质体积减少主要发生在额叶、颞叶和边缘叶。此外,精神分裂症患者左侧第三脑室和侧脑室区域的脑脊液体积显著增加。
这项VBM研究支持了现有研究,表明精神分裂症与脑结构改变有关,包括灰质、白质和脑脊液体积。这些发现为精神分裂症的神经生物学提供了见解,并可能为开发更有效的诊断和治疗方法提供信息。