Evidence map›Paper›PMID 36841702›Full record

ReviewBiological psychiatry2023

Current Approaches in Computational Psychiatry for the Data-Driven Identification of Brain-Based Subtypes.

Leyla R Brucar, Eric Feczko, Damien A Fair, Anna Zilverstand

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Ensemble clustering: A practical tutorial.Behavior research methods · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors at 2 institutions in 1 country.

Leyla R BrucarDepartment of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota.
Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota.
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota; Institute of Child Development, University of Minnesota Medical School, Minneapolis, Minnesota.
Anna ZilverstandDepartment of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota; Medical Discovery Team on Addiction, University of Minnesota Medical School, Minneapolis, Minnesota. Electronic address: annaz@umn.edu.
University of Minnesota · USUniversity of Minnesota Medical Center · US

Funding

ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Healthy Brain and Child Development National Consortium Data Coordinating CenterU24DA055330 · NIDA · WASHINGTON UNIVERSITY · PI ANDERS M DALE, Damien A Fair · 2021 to 2026
$34.6M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
Supplement to Prevention Research Center: Parenting Among Women Who Are Opioid Users, Project 2P50DA048756 · NIDA · UNIVERSITY OF OREGON · PI MACKIEWICZ SEGHETE, KRISTEN L · 2019 to 2023
$18.0M
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
17/24 Healthy Brain and Child Development National ConsortiumU01DA055371 · NIDA · UNIVERSITY OF MINNESOTA · PI Michael K. Georgieff, Sylia Wilson · 2021 to 2026
$8.6M
Genetic Influences on Infant Brain Development: Understanding the Developmental Origins of Mental IllnessR01MH123716 · NIMH · MICHIGAN STATE UNIVERSITY · PI KNICKMEYER, REBECCA · 2021 to 2025
$5.5M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
Neurobehavioral mechanisms linking childhood social disadvantage with substance use trajectories in adolescence and adulthoodR01DA056499 · NIDA · UNIVERSITY OF MINNESOTA · PI Sylia Wilson · 2022 to 2026
$2.1M
Personalized relapse prediction in Alcohol Use DisorderR01AA029406 · NIAAA · UNIVERSITY OF MINNESOTA · PI Anna Zilverstand · 2023 to 2026
$2.0M
Data Exploration and Analysis Portal for Brain Research through Advanced Imaging NeuroscienceRF1MH120025 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FAN, CHUN CHIEH, THOMPSON, WESLEY KURT · 2020 to 2020
$1.1M
NIAAA NIH HHS R01 AA029406NIDA NIH HHS P50 DA048756NIDA NIH HHS R01 DA056499NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA055371NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA055330NIMH NIH HHS R01 MH096773NIMH NIH HHS R01 MH123716NIMH NIH HHS R37 MH125829NIMH NIH HHS RF1 MH120025
6 · The paper itself

Abstract

The ability of our current psychiatric nosology to accurately delineate clinical populations and inform effective treatment plans has reached a critical point with only moderately successful interventions and high relapse rates. These challenges continue to motivate the search for approaches to better stratify clinical populations into more homogeneous delineations, to better inform diagnosis and disease evaluation, and prescribe and develop more precise treatment plans. The promise of brain-based subtyping based on neuroimaging data is that finding subgroups of individuals with a common biological signature will facilitate the development of biologically grounded, targeted treatments. This review provides a snapshot of the current state of the field in empirical brain-based subtyping studies in child, adolescent, and adult psychiatric populations published between 2019 and March 2022. We found that there is vast methodological exploration and a surprising number of new methods being created for the specific purpose of brain-based subtyping. However, this methodological exploration and advancement is not being met with rigorous validation approaches that assess both reproducibility and clinical utility of the discovered brain-based subtypes. We also found evidence for a collaboration crisis, in which methodological exploration and advancements are not clearly grounded in clinical goals. We propose several steps that we believe are crucial to address these shortcomings in the field. We conclude, and agree with the authors of the reviewed studies, that the discovery of biologically grounded subtypes would be a significant advancement for treatment development in psychiatry.

Indexed as

BrainPsychiatryAdolescentAdultChildHumansNeuroimagingReproducibility of ResultsBiomarkersBiotypesClinical utilityNeuroimagingPrecision medicineReproducibility

Identifiers

PMID36841702
PMCPMC10038896
OpenAlexW4313368047

What OpenQuestion 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 OpenQuestion graph.