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Record W4405124063 · doi:10.1080/13554794.2024.2437195

Visuoperceptual rehabilitation with repetitive transcranial magnetic stimulation in chronic cortical blindness: a case report

2024· article· en· W4405124063 on OpenAlexaboutno aff
Özden Erkan Oğul, Özge Arıcı Düz, Fevzi Şentürk, Lütfü Hanoğlu

Bibliographic record

VenueNeurocase · 2024
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsTranscranial magnetic stimulationRehabilitationPhysical medicine and rehabilitationVisual fieldAudiologyNeuromodulationMedicinePsychologyPhysical therapyNeuroscienceStimulation

Abstract

fetched live from OpenAlex

This study aims to reveal the effect of visuoperceptual rehabilitation combined with neuromodulation on visual impairment recovery in chronic cortical blindness. A 71-year-old patient with cortical blindness was assessed using perimetry, pattern electroretinogram (pERG), Canadian Occupational Performance Measurement (COPM), and Montreal Cognitive Assessment (MoCA) at baseline and after treatment. After 12 rTMS sessions and 50 visual perceptual rehabilitation sessions, perimetry, pERG, COPM, and MoCA significantly improved the visual field and daily functioning. Both COPM-MoCA scores exceeded clinical significance. The results indicate that combining vision therapy with rTMS may improve vision field, daily function, and satisfaction in a chronic blindness case.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.335
Teacher spread0.298 · 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 designCase report
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

Citations0
Published2024
Admission routes1
Has abstractyes

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