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Record W2936616037 · doi:10.1093/schbul/sbz021.264

O11.8. RELATIONSHIP BETWEEN SCHIZOTYPY AND SUBCORTICAL BRAIN VOLUMES IN 1084 INDIVIDUALS VIA THE ENIGMA CONSORTIUM

2019· article· en· W2936616037 on OpenAlexaff
Mathilde Antoniades, A. Fornito, Melissa J. Green, Christos Pantelis, Pamela DeRosse, Martin Debbané, Igor Nenadić, Christian Gaser, Bianca Besteher, Matthias Kirschner, Stefan Kaiser, Iris E. Sommer, Kelly Diederen, Jan-Bernard Marsman, Veena Kumari, Raymond Chan, Yann Quidé, Wulf Rössler, Haeme Park, И. С. Лебедева, Anne‐Kathrin Fett, James Gilleen, Theo G.M. van Erp, Jessica A. Turner, Paul M. Thompson, André Alemán, Gemma Modinos

Bibliographic record

VenueSchizophrenia Bulletin · 2019
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsSchizotypyPsychologySchizotypal personality disorderSchizophrenia (object-oriented programming)Clinical psychologyBonferroni correctionPsychosisDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Neuroanatomical studies have provided some evidence for a neurobiological continuity between psychotic symptoms in patients with schizophrenia and subclinical psychotic-like experiences as identified via self-report questionnaires (or schizotypy) in otherwise healthy individuals. Despite a number of structural brain imaging studies published in subjects with schizotypy, these have often been limited by relatively small sample sizes. This study represents the first meta-analysis of structural MRI scans in schizotypy assessed with standardized methods at 17 centres worldwide. The total sample included in the case-control meta-analysis involved 496 subjects with high schizotypy and 588 comparison subjects with low schizotypy as identified with validated self-report schizotypy questionnaires (i.e., the Community Assessment of Psychic Experiences, the Oxford-Liverpool Inventory of Feelings and Experiences, or the Schizotypal Personality Questionnaire). Left and right lateral ventricle, thalamus, caudate, putamen, pallidum, accumbens, hippocampus and amygdala volumes, as well as intracranial volumes (ICV), were obtained with FreeSurfer from high-resolution T1-weighted structural brain scans locally by each site. Analyses of individual subject data were also performed by the site that contributed the sample, using code created within the ENIGMA collaboration. Group differences for each ROI within each sample were examined using univariate linear regression analysis in R predicting the left, right and mean subcortical volumes with group (low or high schizotypy) controlling for age, sex, site and ICV. For each sample, Cohen’s d effect sizes for each ROI were computed based on the group contrast t-statistics. Random-effects meta-analyses of Cohen’s d effect sizes for each ROI were performed using R’s metafor package. For the case-control meta-analysis, mean (range) age across samples was 29.2 (19.2–44.9) years for subjects with high schizotypy and 28.5 (19.4–42.5) years for subjects with low schizotypy. High and low schizotypy samples were on average 48.6% (25–100) and 49.0% (8–100) male. Compared to low schizotypy, people with high schizotypy had smaller left nucleus accumbens volumes (Cohen’s d = -0.13, p = 0.04). No other significant meta-analytical effects were identified. Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities involving the ventral striatum in healthy individuals with subclinical psychotic-like experiences. Though the effect size is small, the result is consistent with findings in schizophrenia patients and suggesting that these effects are not secondary to potential influences of disease chronicity or antipsychotic medication. The lack of significant effects in other reported regions in schizophrenia research may indicate that further subcortical abnormalities may not be present or detectable in schizotypy samples and could reflect mechanisms of resilience in this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.257
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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