Evidence map›Paper›PMID 29272464›Full record

ArticleSchizophrenia bulletin2019

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

Tomas Hajek, Katja Franke, Marian Kolenic, Jana Capkova, Martin Matejka, Lukas Propper, Rudolf Uher, Pavla Stopkova, Tomas Novak, Tomas Paus and 3 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 4 pooled it
6.9field-weighted citation impact, top 2% 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

88 citing papers in PubMed, 4 syntheses or guidelines pooled it, 155 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Preliminary Investigation of the Association Between Epigenetic Aging Acceleration and Amyloid Biomarkers in Bipolar Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  10. Premature aging in serious mental illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. White matter brain age as a biomarker of cerebrovascular burden in the ageing brain.European archives of psychiatry and clinical neuroscience · 2025
    Article
  17. Regional brain aging patterns reveal disease-specific pathways of neurodegeneration.medRxiv : the preprint server for health sciences · 2025
    Article
  18. Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 4 countries.

Tomas HajekDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Katja FrankeStructural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany.
Marian KolenicNational Institute of Mental Health, Klecany, Czech Republic.
Jana CapkovaNational Institute of Mental Health, Klecany, Czech Republic.
Martin MatejkaNational Institute of Mental Health, Klecany, Czech Republic.
Lukas PropperDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Rudolf UherDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Pavla StopkovaNational Institute of Mental Health, Klecany, Czech Republic.
Tomas NovakNational Institute of Mental Health, Klecany, Czech Republic.
Tomas PausRotman Research Institute and Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada.
Miloslav KopecekNational Institute of Mental Health, Klecany, Czech Republic.
Filip SpanielNational Institute of Mental Health, Klecany, Czech Republic.
Martin AldaDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
National Institute of Mental Health · CZDalhousie University · CAChild Mind Institute · USJena University Hospital · DEPsychiatrická Nemocnice Bohnice · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia from bipolar disorders (BD). Machine learning/pattern recognition allows us to estimate the biological age of the brain from structural magnetic resonance imaging scans (MRI). The discrepancy between brain and chronological age could contribute to early detection and differentiation of BD and schizophrenia. Methods: We estimated brain age in 2 studies focusing on early stages of schizophrenia or BD. In the first study, we recruited 43 participants with first episode of schizophrenia-spectrum disorders (FES) and 43 controls. In the second study, we included 96 offspring of bipolar parents (48 unaffected, 48 affected) and 60 controls. We used relevance vector regression trained on an independent sample of 504 controls to estimate the brain age of study participants from structural MRI. We calculated the brain-age gap estimate (BrainAGE) score by subtracting the chronological age from the brain age. Results: Participants with FES had higher BrainAGE scores than controls (F(1, 83) = 8.79, corrected P = .008, Cohen's d = 0.64). Their brain age was on average 2.64 ± 4.15 years greater than their chronological age (matched t(42) = 4.36, P < .001). In contrast, participants at risk or in the early stages of BD showed comparable BrainAGE scores to controls (F(2,149) = 1.04, corrected P = .70, η2 = 0.01) and comparable brain and chronological age. Conclusions: Early stages of schizophrenia, but not early stages of BD, were associated with advanced BrainAGE scores. Participants with FES showed neurostructural alterations, which made their brains appear 2.64 years older than their chronological age. BrainAGE scores could aid in early differential diagnosis between BD and schizophrenia.

Indexed as

Machine LearningAdolescentAdultAge FactorsBipolar DisorderDiagnosis, DifferentialFemaleHumansMagnetic Resonance ImagingMalePsychotic DisordersRiskSchizophreniaYoung Adult

Identifiers

PMID29272464
PMCPMC6293219
OpenAlexW2906143653

What OpenQuestion holds

Textmetadata
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.