Evidence map›Paper›PMID 37202416›Full record

ArticleNature communications2023

Assortative mixing in micro-architecturally annotated brain connectomes.

Vincent Bazinet, Justine Y Hansen, Reinder Vos de Wael, Boris C Bernhardt, Martijn P van den Heuvel, Bratislav Misic

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 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  20. Cellular basis for cortical network aging in primates.bioRxiv : the preprint server for biology · 2025
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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

6 authors.

Vincent BazinetMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0001-6693-9641
Justine Y HansenMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0003-3142-7480
Reinder Vos de WaelMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.
Boris C BernhardtMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada.ORCID 0000-0001-9256-6041
Martijn P van den HeuvelCenter for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-1570-1195
Bratislav MisicMcConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada. bratislav.misic@mcgill.ca.ORCID 0000-0003-0307-2862

Funding

CIHR
6 · The paper itself

Abstract

The wiring of the brain connects micro-architecturally diverse neuronal populations, but the conventional graph model, which encodes macroscale brain connectivity as a network of nodes and edges, abstracts away the rich biological detail of each regional node. Here, we annotate connectomes with multiple biological attributes and formally study assortative mixing in annotated connectomes. Namely, we quantify the tendency for regions to be connected based on the similarity of their micro-architectural attributes. We perform all experiments using four cortico-cortical connectome datasets from three different species, and consider a range of molecular, cellular, and laminar annotations. We show that mixing between micro-architecturally diverse neuronal populations is supported by long-distance connections and find that the arrangement of connections with respect to biological annotations is associated to patterns of regional functional specialization. By bridging scales of cortical organization, from microscale attributes to macroscale connectivity, this work lays the foundation for next-generation annotated connectomics.

Indexed as

ConnectomeBrainNeural PathwaysNeurons

Identifiers

PMID37202416
PMCPMC10195875

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.