Whole-brain high-resolution structural ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Whole-brain high-resolution structural connectome: inter-subject validation and application to the anatomical segmentation of the striatum
Author(s) :
Besson, Pierre [Auteur]
Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] [CEMEREM]
Centre de résonance magnétique biologique et médicale [CRMBM]
Carrière, Nicolas [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Bandt, Sarah Kathleen [Auteur]
Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] [CEMEREM]
Centre de résonance magnétique biologique et médicale [CRMBM]
Tommasi, Marc [Auteur]
Université de Lille
Machine Learning in Information Networks [MAGNET]
Leclerc, Xavier [Auteur]
Services de neuroradiologie [Lille]
Derambure, Philippe [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Service de neurophysiologie clinique [CHRU Lille]
Lopes, Renaud [Auteur]
Jet Propulsion Laboratory [JPL]
Tyvaert, Louise [Auteur]
Centre de Recherche en Automatique de Nancy [CRAN]
Centre Hospitalier Régional Universitaire de Nancy [CHRU Nancy]
Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] [CEMEREM]
Centre de résonance magnétique biologique et médicale [CRMBM]
Carrière, Nicolas [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Bandt, Sarah Kathleen [Auteur]
Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] [CEMEREM]
Centre de résonance magnétique biologique et médicale [CRMBM]
Tommasi, Marc [Auteur]

Université de Lille
Machine Learning in Information Networks [MAGNET]
Leclerc, Xavier [Auteur]

Services de neuroradiologie [Lille]
Derambure, Philippe [Auteur]

Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Service de neurophysiologie clinique [CHRU Lille]
Lopes, Renaud [Auteur]

Jet Propulsion Laboratory [JPL]
Tyvaert, Louise [Auteur]
Centre de Recherche en Automatique de Nancy [CRAN]
Centre Hospitalier Régional Universitaire de Nancy [CHRU Nancy]
Journal title :
Brain Topography: a Journal of Cerebral Function and Dynamics
Pages :
291-302
Publisher :
Springer Verlag
Publication date :
2017-05
ISSN :
0896-0267
English keyword(s) :
Striatum clustering
High-resolution
snc
Surface-based connectivity
Diffusion Magnetic Resonance Imaging
Connectome
High-resolution
snc
Surface-based connectivity
Diffusion Magnetic Resonance Imaging
Connectome
HAL domain(s) :
Informatique [cs]/Imagerie médicale
Sciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
Sciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
English abstract : [en]
The present study describes extraction of high-resolution structural connectome (HRSC) in 99 healthy subjects, acquired and made available by the Human Connectome Project. Single subject connectomes were then registered ...
Show more >The present study describes extraction of high-resolution structural connectome (HRSC) in 99 healthy subjects, acquired and made available by the Human Connectome Project. Single subject connectomes were then registered to the common surface space to allow assessment of inter-individual reproducibility of this novel technique using a leave-one-out approach. The anatomic relevance of the surface-based connectome was examined via a clustering algorithm, which identified anatomic subdivisions within the striatum. The connectivity of these striatal subdivisions were then mapped on the cortical and other subcortical surfaces. Findings demonstrate that HRSC analysis is robust across individuals and accurately models the actual underlying brain networks related to the striatum. This suggests that this method has the potential to model and characterize the healthy whole-brain structural network at high anatomic resolution.Show less >
Show more >The present study describes extraction of high-resolution structural connectome (HRSC) in 99 healthy subjects, acquired and made available by the Human Connectome Project. Single subject connectomes were then registered to the common surface space to allow assessment of inter-individual reproducibility of this novel technique using a leave-one-out approach. The anatomic relevance of the surface-based connectome was examined via a clustering algorithm, which identified anatomic subdivisions within the striatum. The connectivity of these striatal subdivisions were then mapped on the cortical and other subcortical surfaces. Findings demonstrate that HRSC analysis is robust across individuals and accurately models the actual underlying brain networks related to the striatum. This suggests that this method has the potential to model and characterize the healthy whole-brain structural network at high anatomic resolution.Show less >
Language :
Anglais
Popular science :
Non
Collections :
Source :