Whole-brain high-resolution structural ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
URL permanente :
Titre :
Whole-brain high-resolution structural connectome: inter-subject validation and application to the anatomical segmentation of the striatum
Auteur(s) :
Besson, Pierre [Auteur]
Carriere, Nicolas [Auteur]
Bandt, S Kathleen [Auteur]
Tommasi, Marc [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Leclerc, Xavier [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Derambure, Philippe [Auteur]
Médicaments et Molécules pour agir sur les Systèmes Vivants (M2SV) - U1177
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Lopes, Renaud [Auteur]
Tyvaert, Louise [Auteur]
Carriere, Nicolas [Auteur]
Bandt, S Kathleen [Auteur]
Tommasi, Marc [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Leclerc, Xavier [Auteur]

Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Derambure, Philippe [Auteur]

Médicaments et Molécules pour agir sur les Systèmes Vivants (M2SV) - U1177
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Lopes, Renaud [Auteur]

Tyvaert, Louise [Auteur]
Titre de la revue :
Brain topography
Nom court de la revue :
Brain Topogr.
Numéro :
30
Pagination :
291-302
Date de publication :
2017-05-01
ISSN :
0896-0267
Mot(s)-clé(s) en anglais :
High-resolution
Connectome
Diffusion magnetic resonance imaging
Surface-based connectivity
Striatum clustering
Connectome
Diffusion magnetic resonance imaging
Surface-based connectivity
Striatum clustering
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CHU Lille
CNRS
Centrale Lille
Inserm
Université de Lille
CNRS
Centrale Lille
Inserm
Université de Lille
Date de dépôt :
2019-11-27T13:34:02Z