Evidence map›Paper›PMID 30093342›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2018

Resting-State Connectivity and Its Association With Cognitive Performance, Educational Attainment, and Household Income in the UK Biobank.

Xueyi Shen, Simon R Cox, Mark J Adams, David M Howard, Stephen M Lawrie, Stuart J Ritchie, Mark E Bastin, Ian J Deary, Andrew M McIntosh, Heather C Whalley

Open access · hybridAbstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 80 citations in OpenAlex.

  1. 5-HTBiological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Trial
  2. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
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  7. Protective role of parenthood on age-related brain function in mid- to late-life.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. Alcohol, smoking, and brain structure: common or substance specific associations.medRxiv : the preprint server for health sciences · 2024
    Article
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  13. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Xueyi ShenDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: s1517658@sms.ed.ac.uk.
Simon R CoxCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Mark J AdamsDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
David M HowardDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
Stephen M LawrieDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
Stuart J RitchieCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom.
Heather C WhalleyDivision of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
University of Edinburgh · GBAlzheimer Scotland · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1Wellcome TrustWellcome Trust 104036/Z/14/Z
6 · The paper itself

Abstract

backgroundCognitive ability is an important predictor of lifelong physical and mental well-being, and impairments are associated with many psychiatric disorders. Higher cognitive ability is also associated with greater educational attainment and increased household income. Understanding neural mechanisms underlying cognitive ability is of crucial importance for determining the nature of these associations. In the current study, we examined the spontaneous activity of the brain at rest to investigate its relationships with not only cognitive ability but also educational attainment and household income.

methodsWe used a large sample of resting-state neuroimaging data from the UK Biobank (n = 3950).

resultsFirst, analysis at the whole-brain level showed that connections involving the default mode network (DMN), frontoparietal network (FPN), and cingulo-opercular network (CON) were significantly positively associated with levels of cognitive performance assessed by a verbal-numerical reasoning test (standardized β cingulo-opercular values ranged from 0.054 to 0.097, p

conclusionsThe current study found that variation in brain resting-state functional connectivity was associated with individual differences in cognitive ability, largely involving the DMN and lateral prefrontal network. In addition, we provide evidence of shared neural associations of cognitive ability, educational attainment, and household income.

Indexed as

Biological Specimen BanksAdultAgedBrainBrain MappingCognitionFemaleHumansMaleMiddle AgedNeural PathwaysNeuropsychological TestsRestUnited KingdomBig dataCognitionEducational attainmentHousehold incomeResting-state fMRIUK Biobank

Identifiers

PMID30093342
PMCPMC6289224
OpenAlexW2950606404

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.