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Differences In Motor And Cognitive Outcomes Between Healthy Controls And Individuals With Persistent Post-Concussion Symptoms

2024· article· en· W4402662793 on OpenAlexaff
Alexandra N. Pauhl, Heather M. MacKenzie, Christine MacNeill, Anita Christie

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsConcussionCognitionPhysical medicine and rehabilitationMedicinePsychologyAudiologyPost-concussion syndromeClinical psychologyInjury preventionPoison controlPsychiatryMedical emergency

Abstract

fetched live from OpenAlex

It has been reported that 10-15% of individuals who sustain a mild traumatic brain injury experience persistent post-concussion symptoms (PPCS) lasting greater than three months post-injury. Individuals experiencing PPCS have reported greater number and severity of symptoms, and have greater corticospinal inhibition, lower gait scores, and worse neurocognitive performance compared to healthy controls. However, these separate findings come from different studies, as few studies have quantified this multifaceted condition across multiple domains of functional and physiological outcomes. PURPOSE: To determine the effects of PPCS on motor and cognitive performance compared to healthy controls. METHODS: A cross-sectional design was employed. Twelve individuals with PPCS (19.5 ± 21.2 months post injury, 25.6 ± 5.5 years; 8 F) were recruited from Parkwood Institute’s Acquired Brain Injury Outpatient program. Twelve uninjured individuals who were age-, height-, and weight-matched (23.4 ± 3.2 years; 7 F) also participated in the study as controls. Outcome measures included i) symptom reporting - Rivermead Post-Concussion Symptoms Questionnaire, ii) neurophysiology - transcranial magnetic stimulation (TMS), iii) neurocognitive status - Repeatable Battery for the Assessment of Neuropsychological Status, and iv) gait - Functional Gait Assessment. RESULTS: The PPCS group reported a significantly greater number (13.6 ± 3.0) and severity (34.0 ± 14.9) of symptoms compared to the control group (1.92 ± 4.2 and 3.83 ± 9.1, respectively; p < 0.001). The PPCS group had significantly greater corticospinal inhibition (150.5 ± 38.3 ms), measured through TMS, compared to controls (90.7 ± 18.0 ms; p = 0.006). There were no significant differences in overall neurocognitive scores between groups (PPCS: 89.6 ± 15.4; Control: 97.8 ± 10.3; p = 0.14). Finally, functional gait scores were significantly lower in the PPCS group (26.8 ± 3.4) compared to controls (29.3 ± 0.7; p = 0.03). CONCLUSION: As expected, the PPCS group demonstrated a greater number and severity of symptoms compared to the control group. Although cognitive scores showed no significant differences between groups, the PPCS group showed more marked deficits in motor function, as demonstrated by greater corticospinal inhibition and lower gait scores. Lawson Internal Research Fund (IRF-25-20); Parkwood Institute Research-Student Endowment (PIRSE#:LRI7764458)

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.340
Teacher spread0.303 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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