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A Novel Atlas of Human Cerebral Cortex based on Extrinsic Connectivity

A Novel Atlas of Human Cerebral Cortex based on Extrinsic Connectivity

Authors :
Gallardo, Guillermo
Deriche, Rachid
Wassermann, Demian
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
Computational Imaging of the Central Nervous System (ATHENA)
Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Modelling brain structure, function and variability based on high-field MRI data (PARIETAL)
Service NEUROSPIN (NEUROSPIN)
Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France
European Project: 694665,H2020 ERC,ERC-2015-AdG,CoBCoM(2016)
Gallardo, Guillermo
Computational Brain Connectivity Mapping - CoBCoM - - H2020 ERC2016-09-01 - 2021-08-31 - 694665 - VALID
Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN)
Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Source :
OHBM 2017-Organization for Human Brain Mapping 2017 Annual Meeting, OHBM 2017-Organization for Human Brain Mapping 2017 Annual Meeting, Jun 2017, Vancouver, Canada
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; Current theories hold that the human cortex can be subdivided in anatomically and functionally distinct regions, from which interactions cognition arises. In these interactions the long-range axonal connectivity, namely extrinsic connectivity, plays a fundamental role (Passingham et al., 2002). Hence, parceling the cortex taking into account its extrinsic connectivity can help to understand brain’s internal organization. However, current brain atlases are based on cytoarchitecture (Brodmann, 1909) or anatomical landmarks (Desikan et al., 2006), which do not necessarily reflect brain’s connectivity. Even modern approaches, like that of Glasser et al. (2016) did not include connectivity information on their building process. Using such parcellations on studies involving connectivity could introduce a bias, leading to erroneous connections and conclusions. In Gallardo et al. (2016) we presented a hierarchical clustering based technique to parcellate the whole cortex based on its extrinsic connectivity. In this work, we show the consistency of our technique. Then we use it to obtain a novel cortical 55 parcels parcellation based on the extrinsic connectivity of 138 subjects from the Human Connectome Project (HCP). Experiments show that several of our extrinsic parcels are closely related to brain functionality.

Details

Language :
English
Database :
OpenAIRE
Journal :
OHBM 2017-Organization for Human Brain Mapping 2017 Annual Meeting, OHBM 2017-Organization for Human Brain Mapping 2017 Annual Meeting, Jun 2017, Vancouver, Canada
Accession number :
edsair.dedup.wf.001..bcb641dd2dcb8b7f537586217144a1da