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Record W2044483740 · doi:10.1080/02699050400013733

Monitoring emergence from coma following severe brain injury in an octogenarian using behavioural indicators, electrophysiological measures and metabolic studies: A demonstration of the potential for good recovery in older adults

2005· article· en· W2044483740 on OpenAlexafffund
Margaret Crossley, Agnes Shiel, Barbara A. Wilson, M. R. Coleman, Leslie Gelling, Tim D. Fryer, Simon Boniface, John D. Pickard

Bibliographic record

VenueBrain Injury · 2005
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Saskatchewan
FundersMedical Research CouncilUniversity of Saskatchewan
KeywordsComa (optics)Traumatic brain injuryNeuropsychologyPsychologySomatosensory evoked potentialElectroencephalographyElectrophysiologyNeuroimagingMedicineCognitionNeuroscienceAnesthesiaPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

This case study describes a multi-disciplinary investigation of the emergence from coma of an 80-year old female (KE) following severe traumatic brain injury. The relationship between cognitive/behavioural ability and the integrity of cerebral function was assessed using neuropsychological measures, positron emission tomography, electroencephalography, somatosensory evoked potentials and trans-cranial magnetic stimulation. These investigations were performed as KE was beginning to emerge from coma (4 weeks) and, again, approximately 1 year following brain injury, when she was judged to have achieved her maximum level of recovery. Neuropsychological measures revealed improvement during the first year post-injury in KE's speed of information processing, memory and executive abilities. Electrophysiological and metabolic studies indicated a restoration of functional integrity that was consistent with the gradual recovery in higher brain function documented using behavioural procedures. This case study demonstrates the rehabilitation potential of pre-morbidly healthy older adults following severe traumatic brain injury.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.409
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.361
Teacher spread0.297 · 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.

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".

Quick stats

Citations15
Published2005
Admission routes2
Has abstractyes

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