Evidence map›Paper›PMID 36151363›Full record

ArticleCommunications biology2022

The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure.

Esin Karahan, Luke Tait, Ruoguang Si, Ayşegül Özkan, Maciek J Szul, Kim S Graham, Andrew D Lawrence, Jiaxiang Zhang

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Multimodal MEG and Microstructure-MRI Investigations of the Human Hippocampal Scene Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. 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

8 authors at 5 institutions in 2 countries.

Esin KarahanCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.
Luke TaitCentre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-2351-5328
Ruoguang SiCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.
Ayşegül ÖzkanCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.
Maciek J SzulInstitut des Sciences Cognitives Marc Jeannerod, CNRS UMR 5229, Bron, France.ORCID 0000-0002-4116-8470
Kim S GrahamDepartment of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Andrew D LawrenceCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0001-6705-2110
Jiaxiang ZhangCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom. zhangj73@cardiff.ac.uk.ORCID 0000-0002-4758-0394
Cardiff University · GBSwansea University · GBUniversité Claude Bernard Lyon 1 · FRUniversity of Birmingham · GBUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H008217/1Medical Research Council MR/N01233X/1Wellcome TrustWellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

Humans differ from each other in a wide range of biometrics, but to what extent brain connectivity varies between individuals remains largely unknown. By combining diffusion-weighted imaging (DWI) and magnetoencephalography (MEG), this study characterizes the inter-subject variability (ISV) of multimodal brain connectivity. Structural connectivity is characterized by higher ISV in association cortices including the core multiple-demand network and lower ISV in the sensorimotor cortex. MEG ISV exhibits frequency-dependent signatures, and the extent of MEG ISV is consistent with that of structural connectivity ISV in selective macroscopic cortical clusters. Across the cortex, the ISVs of structural connectivity and beta-band MEG functional connectivity are negatively associated with cortical myelin content indexed by the quantitative T1 relaxation rate measured by high-resolution 7 T MRI. Furthermore, MEG ISV from alpha to gamma bands relates to the hindrance and restriction of the white-matter tissue estimated by DWI microstructural models. Our findings depict the inter-relationship between the ISV of brain connectivity from multiple modalities, and highlight the role of tissue microstructure underpinning the ISV.

Indexed as

BrainWhite MatterBrain MappingHumansMagnetic Resonance ImagingMagnetoencephalography

Identifiers

PMID36151363
PMCPMC9508245
OpenAlexW4296823091

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.