Evidence map›Paper›PMID 38970378›Full record

ArticleSchizophrenia bulletin2024

A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis Using Normative Models.

Pierre Berthet, Beathe C Haatveit, Rikka Kjelkenes, Amanda Worker, Seyed Mostafa Kia, Thomas Wolfers, Saige Rutherford, Dag Alnaes, Richard Dinga, Mads L Pedersen and 11 more

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Structural similarity networks reveal brain vulnerability in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. 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

21 authors.

Pierre BerthetDepartment of Psychology, University of Oslo, Oslo, Norway.
Beathe C HaatveitDepartment of Psychology, University of Oslo, Oslo, Norway.
Rikka KjelkenesDepartment of Psychology, University of Oslo, Oslo, Norway.
Amanda WorkerDepartment of Psychosis Studies, Institute of Psychiatry, King's College, London, UK.
Seyed Mostafa KiaDonders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands.
Thomas WolfersDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0002-7693-0621
Saige RutherfordDonders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands.
Dag AlnaesDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0001-7361-5418
Richard DingaDepartment Cognitive Science and Artificial Intelligence, Tilburg University, the Netherlands.
Mads L PedersenDepartment of Psychology, University of Oslo, Oslo, Norway.
Andreas DahlDepartment of Psychology, University of Oslo, Oslo, Norway.
Sara Fernandez-CabelloDepartment of Psychology, University of Oslo, Oslo, Norway.
Paola DazzanDepartment of Psychosis Studies, Institute of Psychiatry, King's College, London, UK.
Ingrid AgartzNorwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway.
Ragnar NesvågDepartment of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway.
Torill UelandDepartment of Psychology, University of Oslo, Oslo, Norway.
Ole A AndreassenNorwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway.
Carmen SimonsenNorwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway.
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID 0000-0001-8644-956X
Ingrid MelleNorwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway.
Andre MarquandDonders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, the Netherlands.

Funding

European Research CouncilKG Jebsen StiftelsenResearch Council of Norway 223273South-Eastern Norway Regional Health Authority 2006233Wellcome Trust
6 · The paper itself

Abstract

backgroundClinical forecasting models have potential to optimize treatment and improve outcomes in psychosis, but predicting long-term outcomes is challenging and long-term follow-up data are scarce. In this 10-year longitudinal study, we aimed to characterize the temporal evolution of cortical correlates of psychosis and their associations with symptoms.

designStructural magnetic resonance imaging (MRI) from people with first-episode psychosis and controls (n = 79 and 218) were obtained at enrollment, after 12 months (n = 67 and 197), and 10 years (n = 23 and 77), within the Thematically Organized Psychosis (TOP) study. Normative models for cortical thickness estimated on public MRI datasets (n = 42 983) were applied to TOP data to obtain deviation scores for each region and timepoint. Positive and Negative Syndrome Scale (PANSS) scores were acquired at each timepoint along with registry data. Linear mixed effects models assessed effects of diagnosis, time, and their interactions on cortical deviations plus associations with symptoms.

resultsLMEs revealed conditional main effects of diagnosis and time × diagnosis interactions in a distributed cortical network, where negative deviations in patients attenuate over time. In patients, symptoms also attenuate over time. LMEs revealed effects of anterior cingulate on PANSS total, and insular and orbitofrontal regions on PANSS negative scores.

conclusionsThis long-term longitudinal study revealed a distributed pattern of cortical differences which attenuated over time together with a reduction in symptoms. These findings are not in line with a simple neurodegenerative account of schizophrenia, and deviations from normative models offer a promising avenue to develop biomarkers to track clinical trajectories over time.

Indexed as

Cerebral CortexMagnetic Resonance ImagingPsychotic DisordersAdolescentAdultBrain Cortical ThicknessFemaleHumansLongitudinal StudiesMaleSchizophreniaYoung Adultcortical thicknesslong-term follow upnormative modelingschizophrenia

Identifiers

PMID38970378
PMCPMC11661960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.