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A test-retest study on Parkinsons PPMI dataset yields statistically significant white matter fascicles

机译:对帕金森氏PPMI数据集的重新测试研究产生了具有统计意义的白质束

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摘要

In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular resolution diffusion imaging (HARDI) crossing fiber modeling and tractography robust to partial volume effects, we automatically dissected 50 white matter (WM) fascicles. These fascicles connect deep nuclei (thalamus, putamen, pallidum) to different cortical functional areas (associative, motor, sensorimotor, limbic), basal forebrain and substantia nigra. Then, among these 50 candidate WM fascicles, only the ones that passed a test-retest reproducibility procedure qualified for further tractometry analysis. Leveraging the unique 2-timepoints test-retest Parkinson's Progression Markers Initiative (PPMI) dataset of over 600 subjects, we found statistically significant differences in tract profiles along the subcortico-cortical pathways between Parkinson's disease patients and healthy controls. In particular, significant increases in FA, apparent fiber density, tract-density and generalized FA were detected in some locations of the nigro-subthalamo-putaminal-thalamo-cortical pathway. This connection is one of the major motor circuits balancing the coordination of motor output. Detailed and quantifiable knowledge on WM fascicles in these areas is thus essential to improve the quality and outcome of Deep Brain Stimulation, and to target new WM locations for investigation.
机译:在这项工作中,我们提出了用于扩散帕金森氏病扩散MRI数据集并恢复健壮的疾病特定生物标记物的扩散MRI协议。使用先进的高角分辨率扩散成像(HARDI)穿越纤维建模和对部分体积效应具有鲁棒性的tractography,我们自动解剖了50个白质(WM)束。这些束将深核(丘脑,壳状核,苍白球)连接到不同的皮质功能区域(缔合,运动,感觉运动,边缘),基底前脑和黑质。然后,在这50个候选WM分册中,只有通过重测重现性程序的分册才有资格进行进一步的计量分析。利用独特的2个时间点重新测试帕金森氏症进展指标计划(PPMI)数据集,该数据集覆盖了600多名受试者,我们发现帕金森氏病患者与健康对照之间沿皮层下皮质途径的管道分布具有统计学上的显着差异。特别是,在黑质-丘脑-丘脑-丘脑-丘脑-皮质途径的某些位置检测到FA,表观纤维密度,束密度和泛化FA显着增加。该连接是平衡电动机输出协调性的主要电动机电路之一。因此,在这些区域中有关WM分册的详细且可量化的知识对于提高深部脑刺激的质量和结果,以及针对WM的新位置进行调查至关重要。

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