Evidence map›Paper›PMID 38081838›Full record

ArticleNature communications2023

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

Alessandra Griffa, Mathieu Mach, Julien Dedelley, Daniel Gutierrez-Barragan, Alessandro Gozzi, Gilles Allali, Joanes Grandjean, Dimitri Van De Ville, Enrico Amico

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  10. Review
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  14. Human-specific genetic modifiers of cortical architecture and function.Current opinion in genetics & development · 2024
    Review
  15. Article
  16. Predictability of cortico-cortical connections in the mammalian brain.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  17. Connectome embedding in multidimensional graph spaces.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alessandra GriffaLeenaards Memory Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. alessandra.griffa@chuv.ch.ORCID 0000-0003-1923-1653
Mathieu MachMedical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.
Julien DedelleyMedical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.
Daniel Gutierrez-BarraganFunctional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy.
Alessandro GozziFunctional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy.ORCID 0000-0002-5731-4137
Gilles AllaliLeenaards Memory Center, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Joanes GrandjeanDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Dimitri Van De VilleMedical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.ORCID 0000-0002-2879-3861
Enrico AmicoMedical Image Processing Laboratory, Neuro-X Institute, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland. enrico.amico@epfl.ch.ORCID 0000-0001-6705-9689

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Neurobiological basis of dysconnectivity in a genetic risk model of psychosisR21MH116473 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GOZZI, ALESSANDRO · 2018 to 2019
$366k
NIMH NIH HHS R21 MH116473NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

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.

Indexed as

MacacaWhite MatterAnimalsBrainCognitionHumansMagnetic Resonance ImagingMaleMammalsMiceNerve NetSensation

Identifiers

PMID38081838
PMCPMC10713651

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.