Evidence map›Paper›PMID 40767465›Full record

ArticleHuman brain mapping2025

Relative Strength Variability Measures for Brain Structural Connectomes and Their Relationship With Cognitive Functioning.

Hon Wah Yeung, Colin R Buchanan, Joanna Moodie, Ian J Deary, Elliot M Tucker-Drob, Mark E Bastin, Heather C Whalley, Keith M Smith, Simon R Cox

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hon Wah YeungLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Colin R BuchananLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-6501-628X
Joanna MoodieLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-0404-6295
Ian J DearyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Elliot M Tucker-DrobDepartment of Psychology, University of Texas, Austin, Texas, USA.
Mark E BastinLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Heather C WhalleyDepartment of Psychiatry, University of Edinburgh, Edinburgh, UK.
Keith M SmithDepartment of Computer and Information Sciences, University of Strathclyde, Glasgow, UK.ORCID 0000-0002-4615-9020
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4036-3642

Funding

Longitudinal multi-omic biomarkers for neurocognitive decline prior to dementia onsetU01AG083829 · NIA · UNIVERSITY OF EDINBURGH · PI Sarah Elizabeth Harris · 2024 to 2026
$3.5M
Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
NIA NIH HHS R01 AG054628NIA NIH HHS R01AG054628NIA NIH HHS U01 AG083829Sir Henry Dale Fellowship 221890/Z/20/ZThe Milton Damerel Trust BB/W008793/1The US National Institutes of Health U01AG083829Wellcome Trust
6 · The paper itself

Abstract

In this work, we propose a new class of graph measures for weighted connectivity information in the human brain based on node relative strengths: relative strength variability (RSV), measuring susceptibility to targeted attacks, and hierarchical RSV (hRSV), a first weighted statistical complexity measure for networks. Using six different network weights for structural connectomes from the UK Biobank, we conduct comprehensive analyses to explore relationships between the RSV and hRSV, and (i) other known network measures, (ii) general cognitive function ('

Indexed as

BrainCognitionConnectomeAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural Pathways

Identifiers

PMID40767465
PMCPMC12326445

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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.