Étude comparative des réseaux cérébraux en IRM fonctionnelle au repos chez l’humain, le microcèbe et la souris

FERMIGIER, Alice; DHENAIN, Marc; GARIN, Clément M.

doi:10.3406/bavf.2024.71070

FERMIGIER, Alice
Nutrition et Neurobiologie intégrée [NutriNeuro]

DHENAIN, Marc

GARIN, Clément M.

Langue

Article de revue

Ce document a été publié dans

Bulletin de l'Academie Veterinaire de France. 2024 n° 177

Résumé en anglais

Resting state brain networks, visible in functional MRI, reflect the intrinsic activity of the brain and provide valuable information on healthy and pathological brain function. The study of these networks in animal species could help unravel the anatomical and functional differences existing between humans and animals used as pathological models in neuroscience, and thus improve the understanding of neurological diseases and the bases of human brain function. However, interspecific comparison of these networks is difficult because brain atlases, acquisition protocols and MRI resolution are often too dissimilar. It would therefore require a more rigorous study framework, which is currently lacking. Indeed, numerous studies have described homologous networks in different mammalian species, but very few interspecific studies have to date been carried out. Our study is therefore the first to extract and compare resting brain networks and their subnetworks in humans, mice and mouse lemur primates. We observed many similarities between homologous networks extracted in the three species, but also notable differences which were analyzed in the light of what we know of each species’ cognitive abilities. © 2024 Academie Veterinaire de France.< Réduire

Mots clés

IRM fonctionnelle

Réseaux cérébraux

Souris

Homme

Microcèbe

Mots clés en anglais

Functional MRI

Brain networks

Mouse

Human

Mouse lemur

URI

https://oskar-bordeaux.fr/handle/20.500.12278/205895

DOI

http://dx.doi.org/10.3406/bavf.2024.71070

Unités de recherche

NutriNeuro (Laboratoire de Nutrition et Neurobiologie Intégrée) - UMR 1286

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