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

Overview
Journal Cereb Cortex
Specialty Neurology
Date 2017 Mar 24
PMID 28334314
Citations 60
Authors
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Abstract

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.

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References
1.
Coombes S, Corcos D, Sprute L, Vaillancourt D . Selective regions of the visuomotor system are related to gain-induced changes in force error. J Neurophysiol. 2010; 103(4):2114-23. PMC: 2853269. DOI: 10.1152/jn.00920.2009. View

2.
Potter-Baker K, Varnerin N, Cunningham D, Roelle S, Sankarasubramanian V, Bonnett C . Influence of Corticospinal Tracts from Higher Order Motor Cortices on Recruitment Curve Properties in Stroke. Front Neurosci. 2016; 10:79. PMC: 4781847. DOI: 10.3389/fnins.2016.00079. View

3.
Schaechter J, Fricker Z, Perdue K, Helmer K, Vangel M, Greve D . Microstructural status of ipsilesional and contralesional corticospinal tract correlates with motor skill in chronic stroke patients. Hum Brain Mapp. 2009; 30(11):3461-74. PMC: 2780023. DOI: 10.1002/hbm.20770. View

4.
Lindenberg R, Renga V, Zhu L, Betzler F, Alsop D, Schlaug G . Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke. Neurology. 2010; 74(4):280-7. PMC: 3122304. DOI: 10.1212/WNL.0b013e3181ccc6d9. View

5.
Jones D, Knosche T, Turner R . White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. Neuroimage. 2012; 73:239-54. DOI: 10.1016/j.neuroimage.2012.06.081. View