Evidence map›Paper›PMID 38144691›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2023

The human brain connectome weighted by the myelin content and total intra-axonal cross-sectional area of white matter tracts.

Mark C Nelson, Jessica Royer, Wen Da Lu, Ilana R Leppert, Jennifer S W Campbell, Simona Schiavi, Hyerang Jin, Shahin Tavakol, Reinder Vos de Wael, Raul Rodriguez-Cruces and 5 more

Open access · goldAbstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 13 citations in OpenAlex.

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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

15 authors at 3 institutions in 2 countries.

Mark C NelsonDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-1074-0814
Jessica RoyerDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-4448-8998
Wen Da LuMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada.
Ilana R LeppertMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada.
Jennifer S W CampbellMcConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-9872-3247
Simona SchiaviDepartment of Computer Science, University of Verona, Verona, Italy.
Hyerang JinDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Shahin TavakolDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Reinder Vos de WaelDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Raul Rodriguez-CrucesDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-2917-1212
G Bruce PikeHotchkiss Brain Institute and Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Canada.ORCID https://orcid.org/0000-0001-8924-683X
Boris C BernhardtDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Alessandro DaducciDepartment of Computer Science, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0002-4677-6678
Bratislav MisicDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-0307-2862
Christine L TardifDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-8356-6808
Montreal Neurological Institute and Hospital · CAUniversity of Verona · ITUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A central goal in neuroscience is the development of a comprehensive mapping between structural and functional brain features, which facilitates mechanistic interpretation of brain function. However, the interpretability of structure-function brain models remains limited by a lack of biological detail. Here, we characterize human structural brain networks weighted by multiple white matter microstructural features including total intra-axonal cross-sectional area and myelin content. We report edge-weight-dependent spatial distributions, variance, small-worldness, rich club, hubs, as well as relationships with function, edge length, and myelin. Contrasting networks weighted by the total intra-axonal cross-sectional area and myelin content of white matter tracts, we find opposite relationships with functional connectivity, an edge-length-independent inverse relationship with each other, and the lack of a canonical rich club in myelin-weighted networks. When controlling for edge length, networks weighted by either fractional anisotropy, radial diffusivity, or neurite density show no relationship with whole-brain functional connectivity. We conclude that the co-utilization of structural networks weighted by total intra-axonal cross-sectional area and myelin content could improve our understanding of the mechanisms mediating the structure-function brain relationship.

Indexed as

ConnectomicsFunctional connectivityMicrostructure-weighted imagingMyelinNetwork neuroscienceStructural connectivityWhite matter

Identifiers

PMID38144691
PMCPMC10697181
OpenAlexW4385576122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.