Structural and effective brain connectivity underlying biological motion detection.

Détails

ID Serval
serval:BIB_285453B76E66
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Structural and effective brain connectivity underlying biological motion detection.
Périodique
Proceedings of the National Academy of Sciences of the United States of America
Auteur⸱e⸱s
Sokolov A.A., Zeidman P., Erb M., Ryvlin P., Friston K.J., Pavlova M.A.
ISSN
1091-6490 (Electronic)
ISSN-L
0027-8424
Statut éditorial
Publié
Date de publication
18/12/2018
Peer-reviewed
Oui
Volume
115
Numéro
51
Pages
E12034-E12042
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
The perception of actions underwrites a wide range of socio-cognitive functions. Previous neuroimaging and lesion studies identified several components of the brain network for visual biological motion (BM) processing, but interactions among these components and their relationship to behavior remain little understood. Here, using a recently developed integrative analysis of structural and effective connectivity derived from high angular resolution diffusion imaging (HARDI) and functional magnetic resonance imaging (fMRI), we assess the cerebro-cerebellar network for processing of camouflaged point-light BM. Dynamic causal modeling (DCM) informed by probabilistic tractography indicates that the right superior temporal sulcus (STS) serves as an integrator within the temporal module. However, the STS does not appear to be a "gatekeeper" in the functional integration of the occipito-temporal and frontal regions: The fusiform gyrus (FFG) and middle temporal cortex (MTC) are also connected to the right inferior frontal gyrus (IFG) and insula, indicating multiple parallel pathways. BM-specific loops of effective connectivity are seen between the left lateral cerebellar lobule Crus I and right STS, as well as between the left Crus I and right insula. The prevalence of a structural pathway between the FFG and STS is associated with better BM detection. Moreover, a canonical variate analysis shows that the visual sensitivity to BM is best predicted by BM-specific effective connectivity from the FFG to STS and from the IFG, insula, and STS to the early visual cortex. Overall, the study characterizes the architecture of the cerebro-cerebellar network for BM processing and offers prospects for assessing the social brain.
Mots-clé
Adult, Behavior/physiology, Brain/diagnostic imaging, Brain/physiology, Brain Mapping/methods, Cerebellum/diagnostic imaging, Cerebellum/physiology, Cerebral Cortex/diagnostic imaging, Cerebral Cortex/physiology, Cerebral Crus/physiology, Diffusion Tensor Imaging/methods, Environmental Monitoring/methods, Frontal Lobe/physiology, Functional Laterality, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging/methods, Male, Neural Pathways/diagnostic imaging, Neural Pathways/physiology, Neuroimaging/methods, Photic Stimulation, Prefrontal Cortex/physiology, Temporal Lobe/diagnostic imaging, Temporal Lobe/physiology, Visual Cortex/diagnostic imaging, Visual Cortex/physiology, Visual Perception/physiology, biological motion, diffusion tensor imaging, dynamic causal modelling, functional MRI, network analysis
Pubmed
Web of science
Création de la notice
13/12/2018 16:50
Dernière modification de la notice
20/08/2019 14:07
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