Kraguljac Nina Vanessa, Guerreri Michele, Strickland Molly Jordan, Zhang Hui
Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama.
Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom.
Biol Psychiatry Glob Open Sci. 2022 Jan 21;3(1):10-21. doi: 10.1016/j.bpsgos.2021.12.012. eCollection 2023 Jan.
While major psychiatric disorders lack signature diagnostic neuropathologies akin to dementias, classic postmortem studies have established microstructural involvement, i.e., cellular changes in neurons and glia, as a key pathophysiological finding. Advanced magnetic resonance imaging techniques allow mapping of cellular tissue architecture and microstructural abnormalities in vivo, which holds promise for advancing our understanding of the pathophysiology underlying psychiatric disorders. Here, we performed a systematic review of case-control studies using neurite orientation dispersion and density imaging (NODDI) to assess brain microstructure in psychiatric disorders and a selective review of technical considerations in NODDI. Of the 584 potentially relevant articles, 18 studies met the criteria to be included in this systematic review. We found a general theme of abnormal gray and white matter microstructure across the diagnostic spectrum. We also noted significant variability in patterns of neurite density and fiber orientation within and across diagnostic groups, as well as associations between brain microstructure and phenotypical variables. NODDI has been successfully used to detect subtle microstructure abnormalities in patients with psychiatric disorders. Given that NODDI indices may provide a more direct link to pathophysiological processes, this method may not only contribute to advancing our mechanistic understanding of disease processes, it may also be well positioned for next-generation biomarker development studies.
虽然主要精神疾病缺乏类似于痴呆症的标志性诊断神经病理学特征,但经典的尸检研究已确定微观结构受累,即神经元和神经胶质细胞的细胞变化,是关键的病理生理学发现。先进的磁共振成像技术能够在体内绘制细胞组织结构和微观结构异常图谱,这为加深我们对精神疾病潜在病理生理学的理解带来了希望。在此,我们对使用神经突方向离散度与密度成像(NODDI)评估精神疾病脑微观结构的病例对照研究进行了系统综述,并对NODDI中的技术考量进行了选择性综述。在584篇可能相关的文章中,有18项研究符合纳入本系统综述的标准。我们发现,在整个诊断范围内,灰质和白质微观结构异常是一个普遍主题。我们还注意到,在诊断组内和诊断组之间,神经突密度和纤维方向模式存在显著差异,以及脑微观结构与表型变量之间的关联。NODDI已成功用于检测精神疾病患者的细微微观结构异常。鉴于NODDI指标可能与病理生理过程有更直接的联系,这种方法不仅可能有助于推进我们对疾病过程的机制理解,也可能非常适合下一代生物标志物开发研究。