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Record W2114522539 · doi:10.1162/jocn.2006.18.7.1212

Cognitive Rehabilitation Interventions for Executive Function: Moving from Bench to Bedside in Patients with Traumatic Brain Injury

2006· review· en· W2114522539 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

VenueJournal of Cognitive Neuroscience · 2006
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersNational Institute of Neurological Disorders and Stroke
KeywordsTraumatic brain injuryPsychologyCognitionPsychological interventionRehabilitationExecutive functionsNeuroscienceExecutive dysfunctionCognitive rehabilitation therapyCognitive neurosciencePhysical medicine and rehabilitationNeuropsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Executive function mediated by prefrontally driven distributed networks is frequently impaired by traumatic brain injury (TBI) as a result of diffuse axonal injury and focal lesions. In addition to executive cognitive functions such as planning and working memory, the effects of TBI impact social cognition and motivation processes. To encourage application of cognitive neuroscience methods to studying recovery from TBI, associated reorganization of function, and development of interventions, this article reviews the pathophysiology of TBI, critiques currently employed methods of assessing executive function, and evaluates promising interventions that reflect advances in cognitive neuroscience. Brain imaging to identify neural mechanisms mediating executive dysfunction and response to interventions following TBI is also discussed.

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)0.001
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.131
GPT teacher head0.436
Teacher spread0.304 · 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