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Record W4403025418 · doi:10.7759/cureus.70638

Charles Bonnet Syndrome Following a Mild Traumatic Brain Injury

2024· article· en· W4403025418 on OpenAlexaff
Christina Campbell, Ranita H Manocha, Vivian Hill, Chantel T. Debert

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldNeuroscience
TopicHallucinations in medical conditions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineTraumatic brain injuryPsychiatry

Abstract

fetched live from OpenAlex

Charles Bonnet syndrome (CBS) describes the presence of hallucinations in patients with poor or deteriorating vision. The physician awareness of CBS is low, despite reporting of CBS hallucinations occurring in a range of ocular and central nervous system conditions. Following mild traumatic brain injury (mTBI), patients can experience visual or oculomotor dysfunction. As such, it is possible that CBS might present following mTBI. An adult male suffered an mTBI and whiplash injury following a motor vehicle accident. He developed persistent post-concussion symptoms (PPCS) including headaches and vestibular and visual disturbances. He reported experiencing visual hallucinations eight months post-mTBI and was diagnosed with CBS. Interventions for PPCS and hallucinations have persisted for five years. The treatment options for CBS are limited and the patient's PPCS made participating in visual therapy challenging. Physicians assessing patients following mTBI should be aware of CBS and should take PPCS into consideration when recommending treatments for CBS.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.071
GPT teacher head0.356
Teacher spread0.285 · 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 teacher head, not a consensus.

Study designNot applicable
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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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