Evidence map›Paper›PMID 40603295›Full record

ArticleTranslational psychiatry2025

Neural fingerprints of data driven cognitive subtypes across the psychosis spectrum: a B-SNIP study.

Shashwath A Meda, Madison M Dykins, Scot K Hill, Brett A Clementz, Sarah K Keedy, Jennifer E McDowell, Elena I Ivleva, Elliot S Gershon, Matcheri S Keshavan, Carol Tamminga and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 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

11 authors.

Shashwath A Meda *Hartford Healthcare, Hartford, CT, USA. shashwath.meda@hhchealth.org.
Madison M Dykins *Rosalind Franklin University of Medicine, Chicago, IL, USA.
Scot K HillRosalind Franklin University of Medicine, Chicago, IL, USA.
Brett A ClementzUniversity of Georgia, Athens, GA, USA.
Sarah K KeedyUniversity of Chicago, Chicago, IL, USA.
Jennifer E McDowellUniversity of Georgia, Athens, GA, USA.
Elena I IvlevaUT Southwestern Medical Center, Dallas, TX, USA.
Elliot S GershonUniversity of Chicago, Chicago, IL, USA.
Matcheri S KeshavanHarvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5945-888X
Carol TammingaUT Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-6366-5697
Godfrey D PearlsonHartford Healthcare, Hartford, CT, USA.ORCID http://orcid.org/0000-0002-7525-5185

Funding

Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077851 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2007 to 2019
$7.8M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077945 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2007 to 2019
$7.6M
Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
Stability of Biotypes: a Longitudinal Evaluation (STABLE)R01MH103368 · NIMH · UNIVERSITY OF CHICAGO · PI GERSHON, ELLIOT S, KEEDY, SARAH K · 2015 to 2019
$4.5M
5/5 BIPOLAR-SCHIZOPHRENIA NETWORK FOR INTERMEDIATE PHENOTYPES (B-SNIP) - Resubmission - 1R01MH103366 · NIMH · UNIVERSITY OF GEORGIA · PI CLEMENTZ, BRETT A, GIBBONS, ROBERT D · 2015 to 2019
$3.8M
3/4-Psychosis & Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096957 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2013 to 2015
$983k
Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096913 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TAMMINGA, CAROL A · 2013 to 2015
$950k
4/6 Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096942 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KESHAVAN, MATCHERI S. · 2013 to 2015
$783k
4/4-Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP)R01MH096900 · NIMH · UNIVERSITY OF GEORGIA · PI CLEMENTZ, BRETT A · 2013 to 2015
$223k
NIMH NIH HHS R01 MH077851NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH078113NIMH NIH HHS R01 MH096900NIMH NIH HHS R01 MH096913NIMH NIH HHS R01 MH096942NIMH NIH HHS R01 MH096957NIMH NIH HHS R01 MH103366NIMH NIH HHS R01 MH103368U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH077945-09U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH096900-03U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH096913-03U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH096942-03U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH103366
6 · The paper itself

Abstract

Cognitive dysfunction is a prominent feature of psychotic spectrum disorders. Identifying neurocognitive subgroups and their neural underpinnings may help elucidate distinct pathophysiological mechanisms and inform targeted interventions. This study aimed to derive cognitive subtypes using latent profile analysis (LPA) of the Brief Assessment of Cognition in Schizophrenia (BACS) and investigate associated variations in resting-state functional connectivity among these cognitive profiles and biologically derived Biotypes. The BACS was administered to 1807 psychosis patients from the B-SNIP1 and 2 cohorts to perform LPA and identify cognitive subgroups. Regional homogeneity (ReHo), a measure of local functional connectivity, was computed from resting-state fMRI data in a subset (717 patients, 427 controls). Multivariate regression models examined associations between ReHo and cognitive LPA, Biotypes, and DSM diagnostic categories. LPA identified four cognitive profiles: cognitively comparable to controls (CCC), intermediate-1, intermediate-2, and severely impaired. These profiles showed unique dysconnectivity patterns, particularly within the striatal, default mode, salience, and executive control networks. The severely impaired group exhibited hyperconnectivity in basal ganglia and executive control networks. The intermediate groups showed default mode and salience network connectivity disruptions. The CCC group was the least impaired, with hyperconnectivity in sensory and auditory networks. Compared to Biotypes, LPA subgroups presented more domain-specific connectivity fingerprints. Psychosis patients exhibit heterogeneous cognitive profiles with divergent intrinsic functional dysconnectivity patterns. Cognitive LPA subgroups demonstrated more domain-localized neural signatures than DSM subtypes, potentially allowing for more targeted interventions. This approach highlights the utility of cognitive subtyping using standardized cognitive assessments in elucidating pathophysiological mechanisms in psychosis.

Indexed as

BrainCognitive DysfunctionNerve NetPsychotic DisordersSchizophreniaAdultCognitionConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung Adult

Identifiers

PMID40603295
PMCPMC12223097

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.