Anatomic characterization of prelemniscal radiations by probabilistic tractography: implications in Parkinson’s disease

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• 作者：María Guadalupe García-Gomar ; Julian Soto-Abraham…
• 关键词：Parkinson’s disease ; Prelemnsical radiations ; Constrained spherical deconvolution ; Track ; density images ; Probabilistic tractography
• 刊名：Brain Structure and Function
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：222
• 期：1
• 页码：71-81
• 全文大小：
• 刊物主题：Neurosciences; Cell Biology; Neurology;
• 出版者：Springer Berlin Heidelberg
• ISSN：1863-2661
• 卷排序：222

文摘

To characterize the anatomical connectivity of the prelemniscal radiations (Raprl), a white matter region within the posterior subthalamic area (PSA) that is an effective neurosurgical target for treating motor symptoms of Parkinson’s disease (PD). Diffusion-weighted images were acquired from twelve healthy subjects using a 3T scanner. Constrained spherical deconvolution, a method that allows the distinction of crossing fibers within a voxel, was used to compute track-density images with sufficient resolution to accurately delineate distinct PSA regions and probabilistic tractography of Raprl in both hemispheres. Raprl connectivity was reproducible across all subjects and showed fibers traversing through this region towards primary and supplementary motor cortices, the orbitofrontal cortex, ventrolateral thalamus, and the globus pallidus, cerebellum and dorsal brainstem. All brain regions reached by Raprl fibers are part of motor circuits involved in the pathophysiology of PD; while these fiber systems converge at the level of the PSA, they can be spatially segregated. Fibers of distinct and specific motor control networks are identified within Raprl. The description of this anatomical crossroad suggests that, in the future, tractography could allow deep brain stimulation or lesional therapies in white matter targets according to individual patient’s symptoms.