Barnett Brian R, Casey Cameron P, Torres-Velázquez Maribel, Rowley Paul A, Yu John-Paul J
Neuroscience Training Program, Wisconsin Institutes for Medical Research, University of Wisconsin-Madison, Madison, WI 53705, USA.
Department of Biomedical Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Magn Reson Imaging. 2020 Jul;70:36-42. doi: 10.1016/j.mri.2020.04.002. Epub 2020 Apr 13.
Neuroimaging studies of psychiatric illness have revealed a broad spectrum of structural and functional perturbations that have been attributed in part to the complex genetic heterogeneity underpinning these disorders. These perturbations have been identified in both preclinical genetic models and in patients when compared to control populations, but recent work has also demonstrated strong evidence for genetic, molecular, and structural convergence of several psychiatric diseases. We explored potential similarities in neural microstructure in preclinical genetic models of ASD (Fmr1, Nrxn1, Pten) and schizophrenia (Disc1 svΔ2) and in age- and sex-matched control animals with diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Our findings demonstrate a convergence in brain microstructure across these four genetic models with both tract-based and region-of-interest based analyses, which continues to buttress an emerging understanding of converging neural microstructure in psychiatric disease.
精神疾病的神经影像学研究揭示了广泛的结构和功能扰动，这些扰动部分归因于这些疾病背后复杂的遗传异质性。与对照人群相比，在临床前遗传模型和患者中均已发现这些扰动，但最近的研究也有力地证明了几种精神疾病在遗传、分子和结构上的趋同性。我们利用扩散张量成像（DTI）和神经突方向离散度与密度成像（NODDI），探索了自闭症谱系障碍（Fmr1、Nrxn1、Pten）和精神分裂症（Disc1 svΔ2）临床前遗传模型以及年龄和性别匹配的对照动物神经微结构的潜在相似性。我们的研究结果表明，通过基于束和基于感兴趣区域的分析，这四种遗传模型在脑微结构上存在趋同性，这继续支持了对精神疾病中神经微结构趋同的新认识。
