A probabilistic atlas of the cerebellar white matter
Imaging of the cerebellar cortex, deep cerebellar nuclei and their connectivity are gaining attraction, due to the important role the cerebellum plays in cognition and motor control. Atlases of the cerebellar cortex and nuclei are used to locate regions of interest in clinical and neuroscience studi...
| Main Authors: | , , , , , |
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| Format: | Article |
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Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/52873/ |
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| author | van Baarsen, K.M. Kleinnijenhuis, M. Jbabdi, S. Sotiropoulos, S.N. Grotenhuis, J.A. van Cappellen van Walsum, A.M. |
| author_facet | van Baarsen, K.M. Kleinnijenhuis, M. Jbabdi, S. Sotiropoulos, S.N. Grotenhuis, J.A. van Cappellen van Walsum, A.M. |
| author_sort | van Baarsen, K.M. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Imaging of the cerebellar cortex, deep cerebellar nuclei and their connectivity are gaining attraction, due to the important role the cerebellum plays in cognition and motor control. Atlases of the cerebellar cortex and nuclei are used to locate regions of interest in clinical and neuroscience studies. However, the white matter that connects these relay stations is of at least similar functional importance. Damage to these cerebellar white matter tracts may lead to serious language, cognitive and emotional disturbances, although the pathophysiological mechanism behind it is still debated. Differences in white matter integrity between patients and controls might shed light on structure–function correlations. A probabilistic parcellation atlas of the cerebellar white matter would help these studies by facilitating automatic segmentation of the cerebellar peduncles, the localization of lesions and the comparison of white matter integrity between patients and controls.
In this work a digital three-dimensional probabilistic atlas of the cerebellar white matter is presented, based on high quality 3 T, 1.25 mm resolution diffusion MRI data from 90 subjects participating in the Human Connectome Project.
The white matter tracts were estimated using probabilistic tractography. Results over 90 subjects were symmetrical and trajectories of superior, middle and inferior cerebellar peduncles resembled the anatomy as known from anatomical studies.
This atlas will contribute to a better understanding of cerebellar white matter architecture. It may eventually aid in defining structure–function correlations in patients with cerebellar disorders |
| first_indexed | 2025-11-14T20:25:59Z |
| format | Article |
| id | nottingham-52873 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:25:59Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-528732020-05-04T17:25:09Z https://eprints.nottingham.ac.uk/52873/ A probabilistic atlas of the cerebellar white matter van Baarsen, K.M. Kleinnijenhuis, M. Jbabdi, S. Sotiropoulos, S.N. Grotenhuis, J.A. van Cappellen van Walsum, A.M. Imaging of the cerebellar cortex, deep cerebellar nuclei and their connectivity are gaining attraction, due to the important role the cerebellum plays in cognition and motor control. Atlases of the cerebellar cortex and nuclei are used to locate regions of interest in clinical and neuroscience studies. However, the white matter that connects these relay stations is of at least similar functional importance. Damage to these cerebellar white matter tracts may lead to serious language, cognitive and emotional disturbances, although the pathophysiological mechanism behind it is still debated. Differences in white matter integrity between patients and controls might shed light on structure–function correlations. A probabilistic parcellation atlas of the cerebellar white matter would help these studies by facilitating automatic segmentation of the cerebellar peduncles, the localization of lesions and the comparison of white matter integrity between patients and controls. In this work a digital three-dimensional probabilistic atlas of the cerebellar white matter is presented, based on high quality 3 T, 1.25 mm resolution diffusion MRI data from 90 subjects participating in the Human Connectome Project. The white matter tracts were estimated using probabilistic tractography. Results over 90 subjects were symmetrical and trajectories of superior, middle and inferior cerebellar peduncles resembled the anatomy as known from anatomical studies. This atlas will contribute to a better understanding of cerebellar white matter architecture. It may eventually aid in defining structure–function correlations in patients with cerebellar disorders Elsevier 2016-01-01 Article PeerReviewed van Baarsen, K.M., Kleinnijenhuis, M., Jbabdi, S., Sotiropoulos, S.N., Grotenhuis, J.A. and van Cappellen van Walsum, A.M. (2016) A probabilistic atlas of the cerebellar white matter. NeuroImage, 124,Pt (A). pp. 724-732. ISSN 1053-8119 https://www.sciencedirect.com/science/article/pii/S1053811915008113 doi:10.1016/j.neuroimage.2015.09.014 doi:10.1016/j.neuroimage.2015.09.014 |
| spellingShingle | van Baarsen, K.M. Kleinnijenhuis, M. Jbabdi, S. Sotiropoulos, S.N. Grotenhuis, J.A. van Cappellen van Walsum, A.M. A probabilistic atlas of the cerebellar white matter |
| title | A probabilistic atlas of the cerebellar white matter |
| title_full | A probabilistic atlas of the cerebellar white matter |
| title_fullStr | A probabilistic atlas of the cerebellar white matter |
| title_full_unstemmed | A probabilistic atlas of the cerebellar white matter |
| title_short | A probabilistic atlas of the cerebellar white matter |
| title_sort | probabilistic atlas of the cerebellar white matter |
| url | https://eprints.nottingham.ac.uk/52873/ https://eprints.nottingham.ac.uk/52873/ https://eprints.nottingham.ac.uk/52873/ |