Evidence map›Paper›PMID 39510933›Full record

ReviewTrends in cognitive sciences2025

Embracing variability in the search for biological mechanisms of psychiatric illness.

Ashlea Segal, Jeggan Tiego, Linden Parkes, Avram J Holmes, Andre F Marquand, Alex Fornito

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  3. Article
  4. Multiscale Heterogeneity of White Matter Morphometry in Psychiatric Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  5. Article
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  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Review
  14. Normative Modeling of Static and Dynamic Functional Connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  15. Network-based analysis of differential white matter connectivity in major depressive disorder with and without comorbid anxiety.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. 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.

Ashlea SegalWu-Tsai Institute, and Department of Neuroscience, School of Medicine, Yale University, New Haven, CT 06520, USA; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia. Electronic address: ashlea.segal@yale.edu.
Jeggan TiegoSchool of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia.
Linden ParkesBrain Health Institute, Department of Psychiatry, Rutgers University, Piscataway, NJ 08854, USA.
Avram J HolmesBrain Health Institute, Department of Psychiatry, Rutgers University, Piscataway, NJ 08854, USA.
Andre F MarquandDepartment of Cognitive Neuroscience, Radboud UMC, 6500 HB Nijmegen, The Netherlands; Donders Institute for Cognition, Brain and Behavior, 6525 EN Nijmegen, The Netherlands.
Alex FornitoSchool of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Melbourne 3800, Australia.

Funding

Functional genomics of the human connectome in psychiatric illnessR01MH120080 · NIMH · YALE UNIVERSITY · PI AVRAM J HOLMES, Thomas Boon Thye Yeo · 2019 to 2026
$4.8M
Integrative analysis of genomics and imaging data from the BRAIN Initiative and other public data sourcesRF1MH123245 · NIMH · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER, HOLMES, AVRAM J · 2021 to 2021
$1.3M
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryR00MH127296 · NIMH · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI PARKES, LINDEN · 2023 to 2025
$747k
NIMH NIH HHS R00 MH127296NIMH NIH HHS R01 MH120080NIMH NIH HHS RF1 MH123245
6 · The paper itself

Abstract

Despite decades of research, we lack objective diagnostic or prognostic biomarkers of mental health problems. A key reason for this limited progress is a reliance on the traditional case-control paradigm, which assumes that each disorder has a single cause that can be uncovered by comparing average phenotypic values of patient and control samples. Here, we discuss the problematic assumptions on which this paradigm is based and highlight recent efforts that seek to characterize, rather than minimize, the inherent clinical and biological variability that underpins psychiatric populations. Embracing such variability is necessary to understand pathophysiological mechanisms and develop more targeted and effective treatments.

Indexed as

Mental DisordersBiomarkersHumansBiomarkersconnectomeneuroimagingnormative modelspsychiatryvariability

Identifiers

PMID39510933
PMCPMC11742270

What Socratic 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 Socratic graph.