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Improvements in Aerobic Fitness are Correlated with Enhanced Cerebral Hemodynamics in Traumatic Brain Injured Patients

2006· article· en· W4232008445 on OpenAlexaffabout
Yagesh Bhambhani, Mamdouh Farag, Gary Rowland, Robert G. Haennel

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTraumatic brain injuryGlasgow Coma ScaleMedicineHeart rateAerobic exerciseCircuit trainingCardiologyOxygenationHemodynamicsPhysical therapyVO2 maxPhysical medicine and rehabilitationBlood pressureAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Recent evidence has indicated that circuit training is effective in improving the peak cardiorespriatory fitness of patients with traumatic brain injury (TBI). However, it is not known whether these improvements enhance cerebral activation during exercise. Near infrared spectroscopy (NIRS) has been used as a diagnostic tool to evaluate regional changes in cerebral oxygenation (Cox) and blood volume (Cbv) responses in patients with severe TBI. PURPOSE: The purpose of this study was to examine the: (1) effects of circuit training on the peak values of the power output, oxygen uptake and Cox/Cbv responses in patients with moderate to severe TBI, and (2) interrelationship PMong the changes in these variables following training. METHODS: Fourteen in-patients with acquired TBI (Glasgow Coma Scale = 4.6 ± 1.4; time since injury = 17.2 ± 17 months) completed an average of 32 supervised circuit training sessions over 12 weeks. Training included exercises to improve muscle strength and endurance of the major muscle groups as well as aerobic fitness. During the aerobic phase, heart rate was maintained at 60% of the heart rate reserve calculated from the pre-training symptom limited incremental exercise test to volitional fatigue. Cox and Cbv were monitored from the left frontal lobe during the symptom limited tests using a dual wave near infrared spectrometer (MicroRunman, NIM Inc., PA). RESULTS: Training induced significant increases (p<.05) in the peak values of the power output (68.2 ± 50.1 to 99.2 ± 56.0 Watts), absolute oxygen uptake (1.29 ± 0.64 to 1.70 ± 0.80 L/min), relative oxygen uptake (17.3 ± 4.9 to 22.2 ± 7.4 ml/kg/min), Cox (0.023 ± 0.026 to 0.031 ± 0.073 OD units) and Cbv (0.073 ± 0.088 to 0.111 ± 0.109 OD units). Eight of the 14 patients showed increases in Cox and Cbv whereas in the remainder these variables were unchanged or showed a small decline. No significant correlations (p>.05) were observed between the NIRS and the exercise performance variables pre or post training. However, when the delta (post - pre) values were calculated for these variables, significant correlations (p<.05) were observed between absolute VO2 and: Cox (r2 = 0.56), Cbv (r2 = 0.57); relative VO2 and: Cox (r2 = 0.57), Cbv (r2 = 0.40). No significant correlations (p>.05) were observed between the delta values of the peak power output and Cox (r2 = 0.11) and Cbv (r2 = 0.08) following training. CONCLUSION: The improvement in aerobic fitness as a result of circuit training was associated with enhanced cerebral hemodynamics in patients with moderate to severe TBI. Funding: Alberta Heritage Foundation for Medical Research - Health Research Fund

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)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.006
GPT teacher head0.252
Teacher spread0.245 · 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
Published2006
Admission routes2
Has abstractyes

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