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Record W2598332340 · doi:10.1093/schbul/sbx022.076

M81. Atypical Antipsychotic Dose-Dependent Effects on Fractional Anisotropy in a Cohort of Chronic Schizophrenia Patients

2017· article· en· W2598332340 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSchizophrenia Bulletin · 2017
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsUniversity of TorontoSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsFractional anisotropyPsychologyWhite matterAtypical antipsychoticDiffusion MRIQuetiapineInternal medicineRisperidoneOlanzapineMedicineAntipsychoticSchizophrenia (object-oriented programming)PsychiatryMagnetic resonance imagingRadiology

Abstract

fetched live from OpenAlex

Background: The neurotoxic and/or neuroprotective effects of individual antipsychotics remain controversial, with equivocal reports emerging from the animal and human literature, particularly in cognitively critical fronto-temporal areas. We investigated the relationship between antipsychotic dose and frontal white matter fractional anisotropy (FA) to determine potential neurotoxicity of atypical antipsychotics and the relationships between white matter FA, symptom severity and cognition. Methods: 3T diffusion imaging was performed in 10 chronic DSM-V schizoaffective and 9 schizophrenia patients (mean age 30.6 yr: 6 F, 13 M). Symptom severity was assessed with the PANSS (mean score = 96.1). Cognitive measures included Trails A & B, the Hopkins Verbal Learning Test and the Symbol Digit Modalities Test. Patients were being treated with a mix of one or more atypical medications (aripriprazole, clozapine, olanzapine, quetiapine, palliperidone, risperidone). Fractional anisotropy (FA) of the major frontal tracts (genu, fornix, bilateral anterior limb internal capsule, bilateral superior longitudinal fasciculus—SLF) was extracted with FSLv5.3 FMRIB and co-registered to the JHU DTI atlas prior to FreeSurfer 5.0 segmentation. Exploratory linear regressions were used to probe regions prior to specific region-of-interest analysis of variance. Bonferroni correction was applied at the .01 level. Results: One dataset was omitted due to poor imaging quality. Mean chlorpromazine equivalent (CPZE) dose was 680.2 mg/d. Mean duration of illness = 10.1 years. Strong inverse relationships were observed between FA in the left SLF (r = −.654, F(17,1) = 12.7, P = .0024) and the fornix body (r = −.651, F(17,1) = 12.5, P = .0025) and CPZE dose. These relationships were not associated with age, PANSS scores or cognitive measures (P > .05). FA values in all other regions of interest were not significantly correlated to any other measures of interest. Conclusion: In vitro investigations suggested that atypical neuroleptics, particularly clozapine, may be associated with increased cerebral cell death The inverse association of reduced FA signal in the SLF and the fornix with antipsychotic dose suggests a dose-dependent alteration in axonal permeability in patients receiving atypical medications, however, this change in FA signal is not necessarily a direct measure of neuronal pathology.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.269
Teacher spread0.261 · 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