Evidence map›Paper›PMID 42119943›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Family-Level Brain Pattern Similarities and Their Clinical Significance in Young Offspring of Individuals With Psychotic Disorders.

Halide Bilge Türközer, Carol A Tamminga, Garrett Fitzmaurice, Manpreet K Singh, Elena I Ivleva, Brett A Clementz, Godfrey D Pearlson, Sarah Keedy, Elliot S Gershon, Matcheri S Keshavan and 1 more

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Halide Bilge TürközerDivision of Psychotic Disorders, McLean Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts. Electronic address: hturkozer@mgh.harvard.edu.
Carol A TammingaDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
Garrett FitzmauriceDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts; Laboratory for Psychiatric Biostatistics, McLean Hospital, Boston, Massachusetts.
Manpreet K SinghDepartment of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, California.
Elena I IvlevaDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
Brett A ClementzDepartments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia.
Godfrey D PearlsonDepartments of Psychiatry and Neuroscience, Yale University School of Medicine and Olin Neuropsychiatry Research Center-Institute of Living, Hartford Hospital, Hartford, Connecticut.
Sarah KeedyDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois.
Elliot S GershonDepartment of Psychiatry, University of Chicago, Chicago, Illinois.
Matcheri S KeshavanDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts; Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Dost ÖngürDivision of Psychotic Disorders, McLean Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.

Funding

Randomized controlled trial of enhanced coordinated specialty care (CSC 2.0)P50MH115846 · NIMH · MCLEAN HOSPITAL · PI Dost Ongur · 2019 to 2026
$16.9M
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
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077852 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI THAKER, GUNVANT K · 2007 to 2010
$3.5M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077862 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI SWEENEY, JOHN A · 2007 to 2010
$3.1M
3T MRI Scanner for multidisciplinary imaging and image-guided therapyS10OD018448 · OD · UNIVERSITY OF CHICAGO · PI KARCZMAR, GREGORY S. · 2014 to 2014
$2.0M
NIH HHS S10 OD018448NIMH NIH HHS P50 MH115846NIMH NIH HHS R01 MH077851NIMH NIH HHS R01 MH077852NIMH NIH HHS R01 MH077862NIMH NIH HHS R01 MH077945NIMH NIH HHS R01 MH078113
6 · The paper itself

Abstract

backgroundFamilial high-risk offspring inherently provide an unparalleled opportunity for individual-level risk prediction in psychotic disorders: a personalized forecast of their potential brain pathology should they develop psychosis, based on their own parents' brain pathology. However, whether brain patterns in offspring resembling those of their affected parents have clinical significance remains unclear. The current study aims to quantify these parent-offspring brain similarities in psychotic disorders and explore their clinical significance.

methodsUsing 3T imaging data from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (BSNIP)-1 study, cortical thickness similarities between offspring (ages 15-35 years; N = 73) and their own affected parents with psychosis were quantified using a novel familial vulnerability index (FVI), calculated using regionwise z scores. FVIs were compared with the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis)-derived cortical regional vulnerability index (RVI) in offspring. FVIs and RVIs were examined in offspring with and without psychiatric symptoms and relations to global and cognitive functioning were assessed.

resultsOffspring had higher FVIs than RVIs (q < .001, d = 0.78). Offspring with a psychotic disorder (q = .001, d = 2.84) or any other psychiatric diagnosis (q = .02, d = 1.40) had higher FVIs than offspring with no psychiatric diagnosis, while RVIs did not differ between these groups. FVIs, not RVIs, were negatively correlated with global functioning (r = -0.31, q = .047). Neither FVIs nor RVIs were correlated with cognition.

conclusionsThis proof-of-concept study demonstrates the clinical significance of FVI in young offspring of individuals with psychotic disorders. Future research on the clinical utility of family-level similarities across modalities holds untapped potential to advance risk and prognostic prediction in families affected by serious mental illness.

Indexed as

BrainCerebral CortexChild of Impaired ParentsPsychotic DisordersSchizophreniaAdolescentAdultFemaleHumansMagnetic Resonance ImagingMaleYoung AdultFamilial high riskIntergenerational neuroimagingInterindividual similaritiesPsychosisSchizophreniaStructural MRI

Identifiers

PMID42119943
PMCPMC13401945

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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.