A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI

被引:84
作者
Archer, Derek B. [1 ]
Vaillancourt, David E. [1 ,2 ,3 ]
Coombes, Stephen A. [1 ]
机构
[1] Univ Florida, Dept Appl Physiol & Kinesiol, Lab Rehabil Neurosci, POB 118206, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Neurol, Coll Med, Gainesville, FL 32611 USA
[3] Univ Florida, Dept Biomed Engn, Gainesville, FL 32611 USA
基金
美国国家卫生研究院;
关键词
diffusion; movement; sensorimotor; tractography; white matter template; PREDICTS MOTOR IMPAIRMENT; TRAUMATIC BRAIN-INJURY; CORTICOSPINAL TRACT; DESCENDING PATHWAYS; FRONTAL-LOBE; SPINAL-CORD; TOPOGRAPHIC ORGANIZATION; LATERAL SURFACE; STROKE; AREAS;
D O I
10.1093/cercor/bhx066
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The purpose of this study was to develop a high-resolution sensorimotor area tract template (SMATT) which segments corticofugal tracts based on 6 cortical regions in primary motor cortex, dorsal premotor cortex, ventral premotor cortex, supplementary motor area (SMA), pre-supplementary motor area (preSMA), and primary somatosensory cortex using diffusion tensor imaging. Individual probabilistic tractography analyses were conducted in 100 subjects using the highest resolution data currently available. Tractography results were refined using a novel algorithm to objectively determine slice level thresholds that best minimized overlap between tracts while preserving tract volume. Consistent with tracing studies in monkey and rodent, our observations show that cortical topography is generally preserved through the internal capsule, with the preSMA tract remaining most anterior and the primary somatosensory tract remaining most posterior. We combine our results into a freely available white matter template named the SMATT. We also provide a probabilistic SMATT that quantifies the extent of overlap between tracts. Finally, we assess how the SMATT operates at the individual subject level in another independent data set, and in an individual after stroke. The SMATT and probabilistic SMATT provide new tools that segment and label sensorimotor tracts at a spatial resolution not previously available.
引用
收藏
页码:1685 / 1699
页数:15
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