Evidence map›Paper›PMID 33547470›Full record

ArticleSchizophrenia bulletin2021

Personalized Estimates of Brain Structural Variability in Individuals With Early Psychosis.

Mathilde Antoniades, Shalaila S Haas, Amirhossein Modabbernia, Oleg Bykowsky, Sophia Frangou, Stefan Borgwardt, André Schmidt

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Normative modeling of thalamic nuclear volumes.medRxiv : the preprint server for health sciences · 2024
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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

7 authors.

Mathilde AntoniadesDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY.
Shalaila S HaasDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY.
Amirhossein ModabberniaDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY.
Oleg BykowskyDepartment of Psychiatry (UPK), University of Basel, Basel, Switzerland.
Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY.
Stefan BorgwardtDepartment of Psychiatry (UPK), University of Basel, Basel, Switzerland.
André SchmidtDepartment of Psychiatry (UPK), University of Basel, Basel, Switzerland.ORCID 0000-0001-6055-8397

Funding

Deconstructing Psychoses Based on Patterns of Abnormal Brain ActivityR01MH104284 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2014 to 2017
$2.4M
NIMH NIH HHS R01 MH104284
6 · The paper itself

Abstract

backgroundEarly psychosis in first-episode psychosis (FEP) and clinical high-risk (CHR) individuals has been associated with alterations in mean regional measures of brain morphology. Examination of variability in brain morphology could assist in quantifying the degree of brain structural heterogeneity in clinical relative to healthy control (HC) samples.

methodsStructural magnetic resonance imaging data were obtained from CHR (n = 71), FEP (n = 72), and HC individuals (n = 55). Regional brain variability in cortical thickness (CT), surface area (SA), and subcortical volume (SV) was assessed with the coefficient of variation (CV). Furthermore, the person-based similarity index (PBSI) was employed to quantify the similarity of CT, SA, and SV profile of each individual to others within the same diagnostic group. Normative modeling of the PBSI-CT, PBSI-SA, and PBSI-SV was used to identify CHR and FEP individuals whose scores deviated markedly from those of the healthy individuals.

resultsThere was no effect of diagnosis on the CV for any regional measure (P > .38). CHR and FEP individuals differed significantly from the HC group in terms of PBSI-CT (P < .0001), PBSI-SA (P < .0001), and PBSI-SV (P = .01). In the clinical groups, normative modeling identified 32 (22%) individuals with deviant PBSI-CT, 12 (8.4%) with deviant PBSI-SA, and 21 (15%) with deviant PBSI-SV; differences of small effect size indicated that individuals with deviant PBSI scores had lower IQ and higher psychopathology.

conclusionsExamination of brain structural variability in early psychosis indicated heterogeneity at the level of individual profiles and encourages further large-scale examination to identify individuals that deviate markedly from normative reference data.

Indexed as

BrainCase-Control StudiesFemaleHumansMalePsychotic Disordersbrain morphologycoefficient of variationearly psychosisheterogeneityperson-based similarity index

Identifiers

PMID33547470
PMCPMC8266574

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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.