A population-based atlas of the human pyramidal tract in 410 healthy participants
Brain Struct Funct. 2018-11-20; 224(2): 599-612
DOI: 10.1007/s00429-018-1798-7
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1. Brain Struct Funct. 2019 Mar;224(2):599-612. doi: 10.1007/s00429-018-1798-7. Epub
2018 Nov 20.
A population-based atlas of the human pyramidal tract in 410 healthy
participants.
Chenot Q(1), Tzourio-Mazoyer N(1), Rheault F(2), Descoteaux M(2), Crivello F(1),
Zago L(1), Mellet E(1), Jobard G(1), Joliot M(1), Mazoyer B(1), Petit L(3).
Author information:
(1)Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies
Neurodégénératives, UMR 5293, CNRS, CEA University of Bordeaux, Case 28, Centre
Broca Nouvelle-Aquitaine, 3ème étage, 146 rue Léo Saignat, CS 61292, 33076,
Bordeaux Cedex, France.
(2)Sherbrooke Connectivity Imaging Lab, University of Sherbrooke, Sherbrooke,
Canada.
(3)Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies
Neurodégénératives, UMR 5293, CNRS, CEA University of Bordeaux, Case 28, Centre
Broca Nouvelle-Aquitaine, 3ème étage, 146 rue Léo Saignat, CS 61292, 33076,
Bordeaux Cedex, France. .
With the advances in diffusion MRI and tractography, numerous atlases of the
human pyramidal tract (PyT) have been proposed, but the inherent limitation of
tractography to resolve crossing bundles within the centrum semiovale has so far
prevented the complete description of the most lateral PyT projections. Here, we
combined a precise manual positioning of individual subcortical regions of
interest along the descending pathway of the PyT with a new bundle-specific
tractography algorithm. This later is based on anatomical priors to improve
streamlines tracking in crossing areas. We then extracted both left and right PyT
in a large cohort of 410 healthy participants and built a population-based atlas
of the whole-fanning PyT with a complete description of its most corticolateral
projections. Clinical applications are envisaged, the whole-fanning PyT atlas
being likely a better marker of corticospinal integrity metrics than those
currently used within the frame of prediction of poststroke motor recovery. The
present population-based PyT, freely available, provides an interesting tool for
clinical applications to locate specific PyT damage and its impact to the short-
and long-term motor recovery after stroke.
DOI: 10.1007/s00429-018-1798-7
PMID: 30460551 [Indexed for MEDLINE]