Evidence map›Paper›PMID 40969404›Full record

ArticleNature. Mental health2025

Mapping Multimodal Risk Factors to Mental Health Outcomes.

Robert J Jirsaraie, Deanna M Barch, Ryan Bogdan, Scott A Marek, Janine D Bijsterbosch, Aristeidis Sotiras, Nicole R Karcher

Abstract read
In one paragraph

Article in Nature. Mental health, 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

7 authors.

Robert J JirsaraieDivision of Computational and Data Sciences, Washington University in St. Louis, United States.
Deanna M BarchDepartment of Psychological & Brain Sciences, Washington University in St. Louis, United States.
Ryan BogdanDepartment of Psychological & Brain Sciences, Washington University in St. Louis, United States.
Scott A MarekDepartment of Radiology, Washington University School of Medicine in St. Louis, United States.
Janine D BijsterboschDepartment of Radiology, Washington University School of Medicine in St. Louis, United States.
Aristeidis SotirasDepartment of Radiology, Washington University School of Medicine in St. Louis, United States.
Nicole R KarcherDepartment of Psychological & Brain Sciences, Washington University in St. Louis, United States.

Funding

Characterizing pubertal and age mechanisms of neurodevelopment and association with rising internalizing symptomsR01MH129493 · NIMH · HARVARD UNIVERSITY · PI BARCH, DEANNA, SOMERVILLE, LEAH HELENE · 2022 to 2025
$3.4M
Predicting trajectories of psychopathology using multimodal neuroimaging and multi-task learningF31MH135640 · NIMH · WASHINGTON UNIVERSITY · PI JIRSARAIE, ROBERT J · 2023 to 2024
$84k
NIMH NIH HHS F31 MH135640NIMH NIH HHS R01 MH129493
6 · The paper itself

Abstract

A key challenge in predicting a person's state of mind is that there are a wide range of contributing factors that each have a subtle, yet significant, influence on mental health. We applied data mining techniques to identify the most important risk factors for predicting current symptoms and longitudinal outcomes from the Adolescent Brain Cognitive Developmental study (n = 11,552). Our results consistently revealed that social conflicts were the strongest predictors of psychopathology, especially family fighting and reputational damage between peers. Sex-differences also emerged as a critical factor for predicting long-term mental health outcomes. Neuroimaging derived metrics were consistently the least informative. While these findings provide novel insight into the developmental origins of psychopathology, our best performing models could only explain up to 40% of the variation between individuals. Future research is needed to obtain a more complete understanding of all the factors that meaningfully contribute to mental health.

Indexed as

BiomarkersComputational ModelsData MiningPsychologyRisk Factors

Identifiers

PMID40969404
PMCPMC12442533

What OpenQuestion holds

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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.