Evidence map›Paper›PMID 41173893›Full record

SynthesisTranslational psychiatry2025

Brain maps of general cognitive functioning: neuroimaging and neurobiological signatures.

Joanna E Moodie, Colin R Buchanan, Anna E Fürtjes, Eleanor L S Conole, Aleks Stolicyn, Janie Corley, Karen Ferguson, Maria Valdés Hernández, Susana Muñoz Maniega, Tom C Russ and 6 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Translational psychiatry, 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

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

16 authors.

Joanna E MoodieLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK. joanna.moodie@ed.ac.uk.ORCID http://orcid.org/0000-0003-0404-6295
Colin R BuchananLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6501-628X
Anna E FürtjesLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6590-4957
Eleanor L S ConoleLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Aleks StolicynCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-1147-7539
Janie CorleyLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-7551-1871
Karen FergusonLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Maria Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Susana Muñoz ManiegaLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5185-6384
Tom C RussLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-9797-2188
Michelle LucianoDepartment of Psychology, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-7306-3008
Heather WhalleyCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4505-8869
Mark E BastinLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Joanna WardlawCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9812-6642
Ian J DearyLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-1733-263X
Simon R CoxLothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4036-3642

Funding

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
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetR01AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2024 to 2025
$1.3M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01AG054628Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01AG073593NIA NIH HHS R01 AG054628NIA NIH HHS R01 AG073593RCUK | Economic and Social Research Council (ESRC) BB/W008793/1Wellcome TrustWellcome Trust (Wellcome) 104036/Z/14/ZWellcome Trust (Wellcome) 221890/Z/20/Z
6 · The paper itself

Abstract

In this paper, we attempt to answer two questions: 1) which regions of the human brain, in terms of morphometry, are most strongly related to individual differences in domain-general cognitive functioning (g)? and 2) what are the underlying neurobiological properties of those regions? We meta-analyse vertex-wise g-cortical morphometry (volume, surface area, thickness, curvature and sulcal depth) associations using data from 3 cohorts: the UK Biobank (UKB), Generation Scotland (GenScot), and the Lothian Birth Cohort 1936 (LBC1936), meta-analytic N = 38,379 (age range = 44 to 84 years old). These g-morphometry associations vary in magnitude and direction across the cortex (β range = -0.12 to 0.17 across morphometry measures) and show good cross-cohort agreement (mean spatial correlation r = 0.57, SD = 0.18). Then, to address question (2), we bring together existing - and derive new - cortical maps of 33 neurobiological characteristics from multiple modalities (including neurotransmitter receptor densities, gene expression, functional connectivity, metabolism, and cytoarchitectural similarity). We report that these 33 profiles spatially covary along four major dimensions of cortical organisation (accounting for 66.1% of the variance) and these dimensions share spatial patterning with the g-morphometry profiles (p_spin < 0.05 |r| range = 0.22 to 0.55). We provide a compendium of cortex-wide and within-region spatial correlations among general and specific facets of brain cortical organisation and higher order cognitive functioning, which we hope will serve as a framework for analysing other aspects of behaviour-brain MRI associations.

Indexed as

BrainBrain MappingCerebral CortexCognitionAdultAgedAged, 80 and overCohort StudiesHumansMagnetic Resonance ImagingMiddle AgedNeuroimagingScotland

Identifiers

PMID41173893
PMCPMC12579262

What Socratic 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 Socratic graph.