Evidence map›Paper›PMID 40475845›Full record

ArticleNPP - digital psychiatry and neuroscience2025

Predicting cognitive functioning in early psychosis: factors supporting and limiting generalizability of connectome-based models.

Alexandra G O'Neill, Melissa Pax, Jourdan H Parent, Jorge Sepulcre, Joan A Camprodon, Stephanie Noble, Joshua L Roffman, Hamdi Eryilmaz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPP - digital psychiatry and neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Alexandra G O'NeillDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.
Melissa PaxDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.
Jourdan H ParentDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.
Jorge SepulcreGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.
Joan A CamprodonDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.
Stephanie NobleDepartment of Psychology, Northeastern University, Boston, MA USA.
Joshua L RoffmanDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.
Hamdi EryilmazDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA USA.

Funding

Sensory and Motor Streams in Preclinical and Clinical Stages of Alzheimer's DiseaseR01AG061811 · NIA · YALE UNIVERSITY · PI SEPULCRE, JORGE · 2019 to 2023
$1.7M
Neuroimaging studies of mechanism, modulation, and plasticity of cognitive impairment in first-episode schizophreniaK01MH116369 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ERYILMAZ, H HAMDI · 2018 to 2022
$925k
Empirical Power Analysis Tool for fMRIR00MH130894 · NIMH · NORTHEASTERN UNIVERSITY · PI NOBLE, STEPHANIE MARIE · 2023 to 2025
$678k
NIA NIH HHS R01 AG061811NIMH NIH HHS K01 MH116369NIMH NIH HHS R00 MH130894
6 · The paper itself

Abstract

Cognitive impairment is a core, intractable aspect of psychotic disorders that impacts functional outcomes. Establishing reliable neural predictors of cognitive functioning at the individual level is an important goal of precision psychiatry and may accelerate personalized treatment development. Connectome-based predictive models (CPMs) have shown promise in identifying brain connectivity patterns that predict cognitive outcomes, however, such models do not produce accurate predictions for all individuals or groups, limiting their generalizability. Here, we used CPMs to identify brain network patterns predictive of cognitive functioning in patients with early psychosis and examined individual clinical and sociodemographic factors that may impact prediction accuracy. Leveraging the imaging data from the Human Connectome Project for Early Psychosis (HCP-EP;

Indexed as

Cognitive controlDiagnostic markersPsychosisWorking memory

Identifiers

PMID40475845
PMCPMC12133584

What OpenQuestion holds

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Registered trials

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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.