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利用扩散磁共振成像纤维束示踪技术对双相情感障碍沿神经纤维束的微观结构异常进行多部位统计映射

Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI Tractometry.

作者信息

Nabulsi Leila, Chandio Bramsh Q, McPhilemy Genevieve, Martyn Fiona M, Roberts Gloria, Hallahan Brian, Dannlowski Udo, Kircher Tilo, Haarman Benno, Mitchell Philip, McDonald Colm, Cannon Dara M, Andreassen Ole A, Ching Christopher R K, Thompson Paul M

机构信息

Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA.

Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33 Galway, Ireland.

出版信息

bioRxiv. 2023 Oct 25:2023.08.17.553762. doi: 10.1101/2023.08.17.553762.

Abstract

Investigating alterations in brain circuitry associated with bipolar disorder (BD) may offer a valuable approach to discover brain biomarkers for genetic and interventional studies of the disorder and related mental illnesses. Some diffusion MRI studies report evidence of microstructural abnormalities in white matter regions of interest, but we lack a fine-scale spatial mapping of brain microstructural differences along tracts in BD. We also lack large-scale studies that integrate tractometry data from multiple sites, as larger datasets can greatly enhance power to detect subtle effects and assess whether effects replicate across larger international datasets. In this multisite diffusion MRI study, we used BUndle ANalytics (BUAN, Chandio 2020), a recently developed analytic approach for tractography, to extract, map, and visualize profiles of microstructural abnormalities on 3D models of fiber tracts in 148 participants with BD and 259 healthy controls from 6 independent scan sites. Modeling site differences as random effects, we investigated along-tract white matter (WM) microstructural differences between diagnostic groups. QQ plots showed that group differences were gradually enhanced as more sites were added. Using the BUAN pipeline, BD was associated with lower mean fractional anisotropy (FA) in fronto-limbic, interhemispheric, and posterior pathways; higher FA was also noted in posterior bundles, relative to controls. By integrating tractography and anatomical information, BUAN effectively captures unique effects along white matter (WM) tracts, providing valuable insights into anatomical variations that may assist in the classification of diseases.

摘要

研究与双相情感障碍(BD)相关的脑回路改变,可能为发现该疾病及相关精神疾病的遗传和干预研究的脑生物标志物提供有价值的方法。一些扩散磁共振成像(MRI)研究报告了感兴趣的白质区域存在微观结构异常的证据,但我们缺乏BD患者脑微观结构差异沿纤维束的精细空间图谱。我们也缺乏整合来自多个站点的纤维束测量数据的大规模研究,因为更大的数据集可以大大增强检测细微效应的能力,并评估这些效应是否能在更大的国际数据集中重复出现。在这项多站点扩散MRI研究中,我们使用了束分析(BUAN,Chandio 2020),这是一种最近开发的用于纤维束成像的分析方法,对来自6个独立扫描站点的148名BD患者和259名健康对照的纤维束三维模型上的微观结构异常特征进行提取、映射和可视化。将站点差异建模为随机效应,我们研究了诊断组之间沿纤维束的白质(WM)微观结构差异。QQ图显示,随着添加的站点增多,组间差异逐渐增强。使用BUAN流程,BD与额颞叶、半球间和后部通路中较低的平均分数各向异性(FA)相关;相对于对照组,后部纤维束中也观察到较高的FA。通过整合纤维束成像和解剖学信息,BUAN有效地捕捉了沿白质(WM)纤维束的独特效应,为可能有助于疾病分类的解剖学变异提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a780/10602466/58ddb8f9c5e9/nihpp-2023.08.17.553762v2-f0001.jpg

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