Evidence for increased parallel information transmission in human brain networks compared to macaques and male mice.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
11 Dec 2023
Historique:
received: 21 10 2022
accepted: 24 11 2023
medline: 12 12 2023
pubmed: 12 12 2023
entrez: 11 12 2023
Statut: epublish

Résumé

Brain communication, defined as information transmission through white-matter connections, is at the foundation of the brain's computational capacities that subtend almost all aspects of behavior: from sensory perception shared across mammalian species, to complex cognitive functions in humans. How did communication strategies in macroscale brain networks adapt across evolution to accomplish increasingly complex functions? By applying a graph- and information-theory approach to assess information-related pathways in male mouse, macaque and human brains, we show a brain communication gap between selective information transmission in non-human mammals, where brain regions share information through single polysynaptic pathways, and parallel information transmission in humans, where regions share information through multiple parallel pathways. In humans, parallel transmission acts as a major connector between unimodal and transmodal systems. The layout of information-related pathways is unique to individuals across different mammalian species, pointing at the individual-level specificity of information routing architecture. Our work provides evidence that different communication patterns are tied to the evolution of mammalian brain networks.

Identifiants

pubmed: 38081838
doi: 10.1038/s41467-023-43971-z
pii: 10.1038/s41467-023-43971-z
pmc: PMC10713651
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8216

Subventions

Organisme : NIMH NIH HHS
ID : R21 MH116473
Pays : United States
Organisme : NIMH NIH HHS
ID : U54 MH091657
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Alessandra Griffa (A)

Leenaards Memory Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. alessandra.griffa@chuv.ch.
Medical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland. alessandra.griffa@chuv.ch.
Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland. alessandra.griffa@chuv.ch.

Mathieu Mach (M)

Medical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.

Julien Dedelley (J)

Medical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.

Daniel Gutierrez-Barragan (D)

Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy.

Alessandro Gozzi (A)

Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy.

Gilles Allali (G)

Leenaards Memory Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Joanes Grandjean (J)

Department of Medical Imaging, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 EN, Nijmegen, The Netherlands.

Dimitri Van De Ville (D)

Medical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.
Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.

Enrico Amico (E)

Medical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland. enrico.amico@epfl.ch.
Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland. enrico.amico@epfl.ch.

Classifications MeSH