Evidence map›Paper›PMID 41748893›Full record

ArticleBrain imaging and behavior2026

Vertexwise Cortical Deviation Mapping (VCDM): A precision approach to cortical thickness assessment in non-affective psychosis.

Daniel Mamah, ShingShiun Chen, Fanghong Dong, Michael P Harms, Mark Curtis, Andrey Anokhin

Abstract readTwin Study
In one paragraph

Article in Brain imaging and behavior, 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Daniel MamahDepartment of Psychiatry, Washington University School of Medicine, Box 8134, St. Louis, MO, 63110, USA. mamahd@wustl.edu.
ShingShiun ChenDepartment of Psychiatry, Washington University School of Medicine, Box 8134, St. Louis, MO, 63110, USA.
Fanghong DongDepartment of Psychiatry, Washington University School of Medicine, Box 8134, St. Louis, MO, 63110, USA.
Michael P HarmsDepartment of Psychiatry, Washington University School of Medicine, Box 8134, St. Louis, MO, 63110, USA.
Mark CurtisDepartment of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA.
Andrey Anokhin

Funding

CONNECTOMICS IN PSYCHIATRIC CLASSIFICATIONR01MH104414 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2014 to 2018
$2.6M
NIMH NIH HHS R01 MH104414NIMH NIH HHS R01MH104414
6 · The paper itself

Abstract

backgroundSchizophrenia is associated with structural brain abnormalities, particularly in cortical thickness and gray matter volume. However, despite consistent group-level findings, these measures have had limited clinical utility due to regional variability and the lack of individualized reference frameworks.

methodsStructural MRI data were obtained from 1,343 individuals across three cohorts: the Human Connectome Project Young Adult (HCP-YA), Early Psychosis (HCP-EP) and a similar mixed cohort (BRAINS). Cortical thickness was assessed in healthy control (CON, n = 1206) and non-affective psychosis (NAP, n = 137) subjects using FreeSurfer and Vertexwise Cortical Deviation Mapping (VCDM) across 298,000 cortical vertices to identify deviations exceeding ± 2 standard deviations from age-adjusted normative values. Group differences and clinical correlations were evaluated using ANOVA and regression analyses. Heritability estimates for deviation metrics were derived from monozygotic and dizygotic twin data.

resultsNAP participants showed significant global cortical thinning compared to controls, with moderate effect sizes (d = 0.53–0.58). Vertex-wise analyses revealed substantially higher percentages of very thin cortical (pTHIN) vertices in NAP (left: d = 1.09; right: d = 1.25), while the percentage of very thick vertices (pTHICK) did not differ by group. Regional analyses of frontal and temporal cortices did not yield improved group differentiation. Clinical symptom severity (e.g., PANSS-positive, SANS scores) predicted higher pTHIN in NAP, while cognitive performance (e.g., working memory, vocabulary) was associated with pTHICK in both groups. Vertex-wise deviation metrics were found to be highly heritable, with heritability estimates of 0.86 (pTHIN) and 0.80 (pTHICK).

conclusionVCDM offers a sensitive, individualized method for detecting cortical abnormalities in psychosis, with stronger effect sizes and broader spatial resolution than traditional approaches. It may support more precise diagnosis, prognosis, and treatment monitoring in clinical settings.

Indexed as

Cerebral CortexPsychotic DisordersAdolescentAdultBrain Cortical ThicknessBrain MappingConnectomeFemaleHumansMagnetic Resonance ImagingMaleSchizophreniaYoung AdultCortical thicknessMRINon-affective psychosisSchizophreniaVCDMVertexwise

Identifiers

PMID41748893
PMCPMC12946299

What Socratic holds

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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 Socratic graph.