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Record W4392971303 · doi:10.21203/rs.3.rs-4110336/v1

Ergogenic effects of spinal cord stimulation on exercise performance following spinal cord injury

2024· preprint· en· W4392971303 on OpenAlexafffund
Daniel D. Hodgkiss, Alison M. M. Williams, Claire Shackleton, Soshi Samejima, Shane J. T. Balthazaar, Tania Lam, Andrei V. Krassioukov, Tom E. Nightingale

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreSt. Paul's HospitalVancouver Coastal HealthInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
FundersInternational Collaboration on Repair Discoveries
KeywordsSpinal cord injurySpinal cordStimulationMedicineSpinal cord stimulationPhysical medicine and rehabilitationNeuroscienceAnesthesiaPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Importance: Cervical or upper-thoracic spinal cord injury (SCI, ≥T6) often leads to low resting blood pressure and impaired cardiovascular responses to acute exercise due to disrupted supraspinal sympathetic drive. Epidural (invasive, ESCS) and transcutaneous spinal cord stimulation (non-invasive, TSCS) have been used to target sympathetic circuits and modulate cardiovascular responses, yet their impact on submaximal upper-body exercise performance in individuals with SCI is unknown. Objective To compare the effects of cardiovascular-optimised ESCS and TSCS versus sham ESCS and TSCS on modulating cardiovascular responses and improving submaximal upper-body exercise performance in individuals with SCI. Design: Double-blinded, randomised comparison trial. Setting: Research center. Participants: Seven males with a chronic, motor-complete SCI between C6-T4, underwent a mapping session to identify cardiovascular responses to spinal cord stimulation. Subsequently, four participants (two ESCS and two TSCS) completed submaximal exercise testing. Exposures: Stimulation parameters (waveform, frequency, intensity, epidural electrode array configuration, specific transcutaneous electrode locations in the lumbosacral region) were optimized to elevate cardiovascular responses (CV-SCS). A sham condition (SHAM-SCS) served as a comparison. Participants performed arm-crank exercise to fatigue at a fixed workload corresponding to above ventilatory threshold, on separate days, with CV-SCS or SHAM-SCS. Main Outcomes and Measures: The primary outcome was time to fatigue during submaximal exercise. Heart rate and gas exchange variables were recorded throughout exercise and used to calculate oxygen pulse (a surrogate for stroke volume, SV). Blood pressure (BP) was monitored before exercise (pre-post applying stimulation). Rating of perceived exertion (RPE) was recorded every 5-min. Results CV-SCS increased resting BP, left ventricular cardiac contractility and total peripheral resistance. CV-SCS increased time to fatigue with ESCS and TSCS, relative to SHAM-SCS. Relative to baseline, change in systolic BP at rest was greater with CV-SCS versus SHAM-SCS. Peak oxygen pulse during exercise was greater with CV-SCS relative to SHAM-SCS. Furthermore, RPE tended to be lower with CV-SCS than SHAM-SCS during exercise. Conclusions and Relevance: Comparable improvements in time to fatigue with ESCS and TSCS suggest that both approaches could be promising ergogenic aids to support exercise performance or rehabilitation, along with reducing fatigue during activities of daily living in individuals with SCI.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.092
GPT teacher head0.486
Teacher spread0.394 · 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 designNon-randomized trial
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 routes2
Has abstractyes

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