Evidence map›Paper›PMID 40561751›Full record

ArticlePsychiatry research. Neuroimaging2025

Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals.

Tuba Sahin-Ilikoglu, Sisi Ma, Erich Kummerfeld, Eric Rawls, Hao Yang Tan, Timothea Toulopoulou

Abstract readTwin Study
In one paragraph

Article in Psychiatry research. Neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Tuba Sahin-IlikogluDepartment of Neuroscience, Bilkent University Aysel Sabuncu Brain Research Center, Ankara, Türkiye; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Türkiye.
Sisi MaInstitute for Health Informatics, University of Minnesota, USA.
Erich KummerfeldInstitute for Health Informatics, University of Minnesota, USA.
Eric RawlsDepartment of Psychiatry and Behavioral Sciences, Medical School, University of Minnesota, USA; Department of Psychology, University of North Carolina Wilmington.
Hao Yang TanLieber Institute for Brain Development, Baltimore, MD, USA.
Timothea ToulopoulouDepartment of Neuroscience, Bilkent University Aysel Sabuncu Brain Research Center, Ankara, Türkiye; National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Türkiye; Department of Psychology, Bilkent University, Ankara, Türkiye; 1st Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA. Electronic address: ttoulopoulou@bilkent.edu.tr.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
NRSA Training CoreTL1TR002493 · NCATS · UNIVERSITY OF MINNESOTA · PI FULKERSON, JAYNE ALLYN · 2018 to 2022
$3.1M
NCATS NIH HHS TL1 TR002493NCATS NIH HHS UL1 TR002494NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

Experiencing mild symptoms of psychosis, like delusions and hallucinations, occurs sometimes in general, nonclinical populations, often termed psychosis proneness (PP), potentially part of the psychosis continuum. Understanding the neural and environmental factors contributing to PP in young individuals during critical developmental periods remains unclear. We aimed to explore these directional relationships using causal discovery analysis (CDA). Participants were 194 healthy adolescent and young adult twin and sibling pairs aged between 14-24 years. They completed comprehensive assessments evaluating sociodemographic status, environmental risk, general intelligence, self-schema, psychosis proneness score (PPS), and working memory (WM) performance during fMRI (37 variables). CDA, a novel machine learning algorithm, was applied to understand the causal relationships of PPS. The analysis identified negative self-schema as having the largest potential causal effect among all assessments in PPS. Secondly, experiencing low levels of social cohesion and trust had a potential causal effect on PPS. Although our analysis could not exclude the possibility that other unmeasured factors may confound these relationships, the effect sizes (ES) were substantial, negative self-schema & PPS (ES= 0.54) and social cohesion and trust & PPS (ES= -0.18). PPS, on the other hand, was identified as a direct cause of greater activation in DLPFC (ES= 0.12). CDA provided simultaneous directionality for 37 variables collected on the same individuals. The findings highlight the significance of negative self-schema and social cohesion and trust in the general population with PP, emphasizing the potential for preventive interventions targeting these factors. These findings also suggest a role for DLPFC as a potential target in this regard. This study represents the first data-driven analysis to model causal mechanisms in PP in the general population.

Indexed as

BrainPsychotic DisordersAdolescentFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMemory, Short-TermYoung AdultCausal Discovery AnalysisDLPFCNegative self-schemaNeuroimagingPsychosis pronenessSocial cohesion

Identifiers

PMID40561751
PMCPMC12257973

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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.