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Record W2953686472 · doi:10.3233/nre-192708

Behavioral treatment for post-traumatic headache after mild traumatic brain injury: Rationale and case series

2019· article· en· W2953686472 on OpenAlexafffund
Noah D. Silverberg

Bibliographic record

VenueNeurorehabilitation · 2019
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsVancouver Coastal HealthVancouver Coastal Health Research InstituteUniversity of British Columbia
FundersUniversity of British ColumbiaMichael Smith Health Research BC
KeywordsTraumatic brain injuryMedicinePsychologyPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Headache is among the most common persistent symptoms after mild traumatic brain injury (mTBI). Currently available treatments have limited efficacy. OBJECTIVE: To present a rationale for a novel behavioral treatment approach and a supporting case series with a multiple baseline design. METHOD: Pervasive avoidance of common headache triggers may be maladaptive, promoting sensitization and restricting life participation. Graded exposure to triggers that are prone to sensitization (e.g., stress, light flicker, loud noise) may represent an alternative behavioral approach to treating chronic headaches after mTBI. The present study reports on a series of physician-referred patients (N = 4, aged 28-48, enrolled at 9-19 months post-injury) with persistent headache attributed to mTBI. They participated in an 8-session manualized treatment with a registered psychologist. Patients completed a daily headache diary before, during, and after treatment, as well as pre- and post-treatment assessments with a battery of questionnaires. RESULTS: All patients finished treatment and no adverse events were reported. Improvement was variable across measures of headache frequency/intensity, headache trigger avoidance, post-concussion symptoms, disability, and patient global impression of change. CONCLUSION: Future directions for behavioral management of headache triggers as a potential treatment for chronic post-traumatic headaches after mTBI are 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

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

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 head0.058
GPT teacher head0.357
Teacher spread0.299 · 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
Published2019
Admission routes2
Has abstractyes

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