Evidence map›Paper›PMID 29771288›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2018

Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants.

Stuart J Ritchie, Simon R Cox, Xueyi Shen, Michael V Lombardo, Lianne M Reus, Clara Alloza, Mathew A Harris, Helen L Alderson, Stuart Hunter, Emma Neilson and 8 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 425 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
425citing papers in PubMed, 2 pooled it
–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

425 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. How the Brain Interprets Pain in Autistic People: Does Sex Matter?European journal of pain (London, England) · 2026
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365 more citing papers are in PubMed but not listed here.

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

18 authors.

Stuart J RitchieDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Simon R CoxDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Xueyi ShenDivision of Psychiatry, The University of Edinburgh, Edinburgh, UK.
Michael V LombardoDepartment of Psychology and Center for Applied Neuroscience, University of Cyprus, Nicosia, Cyprus.
Lianne M ReusDepartment of Neurology and Alzheimer Centre, VU University Medical Centre, Amsterdam, The Netherlands.
Clara AllozaDivision of Psychiatry, The University of Edinburgh, Edinburgh, UK.
Mathew A HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Helen L AldersonDepartment of Psychiatry, Queen Margaret Hospital, Dunfermline, UK.
Stuart HunterNHS Lothian, Edinburgh, UK.
Emma NeilsonDivision of Psychiatry, The University of Edinburgh, Edinburgh, UK.
David C M LiewaldDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Bonnie AuyeungDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
Heather C WhalleyDivision of Psychiatry, The University of Edinburgh, Edinburgh, UK.
Stephen M LawrieDivision of Psychiatry, The University of Edinburgh, Edinburgh, UK.
Catharine R GaleCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshCentre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.
Ian J DearyDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0400491Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MR/K026992/1Medical Research Council MR/K028992/1Medical Research Council MR/L015382/1Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1Wellcome Trust 104036/Z/14/Z
6 · The paper itself

Abstract

Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44-77 years). Males had higher raw volumes, raw surface areas, and white matter fractional anisotropy; females had higher raw cortical thickness and higher white matter tract complexity. There was considerable distributional overlap between the sexes. Subregional differences were not fully attributable to differences in total volume, total surface area, mean cortical thickness, or height. There was generally greater male variance across the raw structural measures. Functional connectome organization showed stronger connectivity for males in unimodal sensorimotor cortices, and stronger connectivity for females in the default mode network. This large-scale study provides a foundation for attempts to understand the causes and consequences of sex differences in adult brain structure and function.

Indexed as

Biological Specimen BanksBrain MappingSex CharacteristicsAdultAgedBrainCommunity Health PlanningConnectomeFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOxygenRestOxygen

Identifiers

PMID29771288
PMCPMC6041980

What OpenQuestion holds

Textmetadata
LicenceTDM
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.