Evidence map›Paper›PMID 35471639›Full record

ArticleHuman brain mapping2022

The sexual brain, genes, and cognition: A machine-predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children.

Kakyeong Kim, Yoonjung Yoonie Joo, Gun Ahn, Hee-Hwan Wang, Seo-Yoon Moon, Hyeonjin Kim, Woo-Young Ahn, Jiook Cha

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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 2 institutions in 2 countries.

Kakyeong KimDepartment of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.ORCID 0000-0002-3729-081X
Yoonjung Yoonie JooInstitute of Data Science, Korea University, Seoul, South Korea.
Gun AhnInterdisciplinary Program of Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea.
Hee-Hwan WangDepartment of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Seo-Yoon MoonCollege of Liberal Studies, Seoul National University, Seoul, South Korea.
Hyeonjin KimDepartment of Psychology, College of Social Sciences, Seoul National University, Seoul, South Korea.
Woo-Young AhnDepartment of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Jiook ChaDepartment of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Seoul National University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex impacts the development of the brain and cognition differently across individuals. However, the literature on brain sex dimorphism in humans is mixed. We aim to investigate the biological underpinnings of the individual variability of sexual dimorphism in the brain and its impact on cognitive performance. To this end, we tested whether the individual difference in brain sex would be linked to that in cognitive performance that is influenced by genetic factors in prepubertal children (N = 9,658, ages 9-10 years old; the Adolescent Brain Cognitive Development study). To capture the interindividual variability of the brain, we estimated the probability of being male or female based on the brain morphometry and connectivity features using machine learning (herein called a brain sex score). The models accurately classified the biological sex with a test ROC-AUC of 93.32%. As a result, a greater brain sex score correlated significantly with greater intelligence (p

Indexed as

CognitionIndividualityAdolescentBrainChildChild, PreschoolFemaleHumansIntelligenceMaleMultifactorial Inheritancecognitive performancegene-brain-cognition pathwaygenome-wide polygenic scoreintelligencemachine learningsex development

Identifiers

PMID35471639
PMCPMC9294341
OpenAlexW4224943599

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.