Evidence map›Paper›PMID 30768381›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2019

Beyond a Binary Classification of Sex: An Examination of Brain Sex Differentiation, Psychopathology, and Genotype.

Owen R Phillips, Alexander K Onopa, Vivian Hsu, Hanna Maria Ollila, Ryan Patrick Hillary, Joachim Hallmayer, Ian H Gotlib, Jonathan Taylor, Lester Mackey, Manpreet K Singh

Abstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. "Precision Medicine" and the Failed Search for Binary Brain Sex Differences to Address Gender Behavioral Health Disparities.American journal of human biology : the official journal of the Human Biology Council · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Sex and gender in neurodevelopmental conditions.Nature reviews. Neurology · 2023
    Review
  11. Article
  12. 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

10 authors.

Owen R PhillipsStanford University, CA. Electronic address: owenrobertphillips@gmail.com.
Alexander K OnopaStanford University, CA.
Vivian HsuStanford University, CA.
Hanna Maria OllilaStanford University, CA.
Ryan Patrick HillaryStanford University, CA.
Joachim HallmayerStanford University, CA.
Ian H GotlibStanford University, CA.
Jonathan TaylorStanford University, CA.
Lester MackeyStanford University, CA.
Manpreet K SinghStanford University, CA.

Funding

Neurodevelopmental Features of Sexual Dimorphism in Pediatric PsychopathologyR56MH107243 · NIMH · STANFORD UNIVERSITY · PI SINGH, MANPREET K · 2015 to 2015
$477k
NIMH NIH HHS R56 MH107243
6 · The paper itself

Abstract

objectiveSex differences in the brain are traditionally treated as binary. We present new evidence that a continuous measure of sex differentiation of the brain can explain sex differences in psychopathology. The degree of sex-differentiated brain features (ie, features that are more common in one sex) may predispose individuals toward sex-biased psychopathology and may also be influenced by the genome. We hypothesized that individuals with a female-biased differentiation score would have greater female-biased psychopathology (internalizing symptoms, such as anxiety and depression), whereas individuals with a male-biased differentiation score would have greater male-biased psychopathology (externalizing symptoms, such as disruptive behaviors).

methodUsing the Philadelphia Neurodevelopmental Cohort database acquired from database of Genotypes and Phenotypes, we calculated the sex differentiation measure, a continuous data-driven calculation of each individual's degree of sex-differentiating features extracted from multimodal brain imaging data (magnetic resonance imaging [MRI] /diffusion MRI) from the imaged participants (n = 866, 407 female and 459 male).

resultsIn male individuals, higher differentiation scores were correlated with higher levels of externalizing symptoms (r = 0.119, p = .016). The differentiation measure reached genome-wide association study significance (p < 5∗10

conclusionThe sex differentiation measure provides an initial topography of quantifying male and female brain features. This demonstration that the sex of the human brain can be conceptualized on a continuum has implications for both the presentation of psychopathology and the relation of the brain with genetic variants that may be associated with brain differentiation.

Indexed as

Sex CharacteristicsAdolescentBrainChildChromosomes, HumanCohort StudiesDatabases, FactualDiffusion Magnetic Resonance ImagingFemaleGenome-Wide Association StudyGenotypeHumansMalePhenotypePhiladelphiaPsychopathologydifferentiationgendergenotypemosaicsex

Identifiers

PMID30768381
PMCPMC6456435

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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.