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Record W4401920076 · doi:10.1192/j.eurpsy.2024.1281

Widespread cortical and subcortical gray matter loss and an increase of globus pallidus volume in treatment-resistant schizophrenia

2024· article· en· W4401920076 on OpenAlexaboutno aff
A. Dudina, D. Tikhonov, В. Г. Каледа, I. Lebedeva

Bibliographic record

VenueEuropean Psychiatry · 2024
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsGlobus pallidusGray (unit)NeuroscienceBrain sizePsychologyMedicineBasal gangliaNuclear medicineMagnetic resonance imagingCentral nervous systemRadiology

Abstract

fetched live from OpenAlex

Introduction It is still being discussed whether treatment-resistant schizophrenia (TRS) is a biological subtype which differs from non-treatment-resistant schizophrenia or is it a more severe condition that affects brain worse than non-treatment-resistant schizophrenia. However, there are few and heterogeneous studies and the etiology of TRS remains quite unclear. Objectives This study aimed to explore cortical and subcortical morphometric characteristics in TRS patients and its associations with the clinical features. The pilot stage comprises the comparison to the mentally healthy subjects. Methods 21 right-handed male patients (mean age 28.99 ± 8.08 years) fulfilling TRS criteria and 21 matched healthy controls (mean age 29.35 ± 7.41 years) underwent T1-weighted structural MRI at 3T Philips scanner and clinical examination. Images were processed using FreeSurfer 7.1.1. Cortical thickness and area, volumes of subcortical structures and separately volumes of the amygdala nuclei and hippocampal subregions were compared between groups. The morphometry data, PANSS (Positive and Negative Syndrome Scale), CDSS (Calgary Depression Scale for Schizophrenia) and daily chlorpromazine equivalent doses of antipsychotics were included in correlational analysis. Results were considered significant if they retained significance after correction for multiple comparisons. Results Compared to healthy controls, TRS patients showed decreased gray matter thickness in frontal, temporal, parietal, occipital, cingulate and insular regions (Figure 1). The temporal lobe showed the most prominent thinning of the cortex. The volumes of the amygdala, hippocampus (Figure 2) and nucleus accumbens, a number of amygdala nuclei and hippocampal subregions bilaterally were also decreased in TRS patients. The volume of the right globus pallidus, on the contrary, was increased (Figure 2). No correlations between altered cortical thickness, PANSS (positive, negative, general psychopathology scales and total score), CDSS and chlorpromazine equivalent doses of antipsychotics were found. Image: Image 2: Conclusions The widespread gray matter cortical and subcortical loss in TRS finds confirmation in the literature. The increased globus pallidus volume is an unexpected and intriguing result. Other studies demonstrated conflicting results on that point. Some studies reported possible therapy influence, others suggested possible associations with symptoms. We did not find any correlations with psychometric or therapy characteristics. It is possible that there are non-linear relationships or relationships that exist only at a certain stage of the disease. As for therapy, patients took individual medication, consisting of various antipsychotics and drugs from other pharmacological groups, and such heterogeneity could affect the results of the study. Further research is going to be carried out. Disclosure of Interest None Declared

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.269
Teacher spread0.259 · 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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Citations0
Published2024
Admission routes1
Has abstractyes

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