Cerebrovascular Responses to Static and Rhythmic Handgrip Exercises
Bibliographic record
Abstract
Handgrip exercise (HGE) is a safe, accessible exercise modality shown to improve cardiovascular health and is particularly promising for individuals with limited mobility who cannot engage in traditional exercise. Given that contraction type and intensity influence systemic cardiorespiratory variables that affect cerebral blood flow regulation, this study examined the acute systemic hemodynamic and cerebrovascular responses to static and rhythmic HGE protocols at varying intensities. Thirty-three healthy young adults (17 males; 16 females age 22(1) years) performed four separate 5-minute HGE protocols in a randomized order: static HGE at 15% (S15) of maximal voluntary contraction (MVC), static HGE at 30% MVC, rhythmic HGE at 30% MVC, rhythmic HGE at 60% (R60) MVC. We hypothesized that rhythmic HGE at higher intensities would produce the greatest cerebrovascular responses due to enhanced venous return and cardiac output, while static HGE at higher intensities would elicit the greatest systemic (i.e., blood pressure, HR, ventilation) responses. Cerebral (middle cerebral artery blood velocity [MCAv] and cerebrovascular conductance index [MCA CVCi ], internal carotid artery [ICA] diameter, velocity, blood flow, and shear rate) and systemic hemodynamics (systolic [SBP], diastolic [DBP], mean arterial pressure [MAP], heart rate [HR], cardiac output [CO]), and end-tidal carbon dioxide (PETCO 2 ) levels were averaged over the final 30s of each minute of exercise. There was a significant time and protocol interaction effect on HR (p<0.001). We found significant main effects of exercise protocol for MCAv (p<0.001), MCA CVCi (p<0.001), ICA diameter (p=0.01) and blood flow (p=0.001), and PETCO 2 (p=0.002). Greatest increases in MCAv alongside the largest reduction in ICA blood flow occurred in R60. The greatest increase in MCA CVCi and ICA blood flow (from baseline) occurred in R30 compared to other protocols. In addition to the greater cerebrovascular responses, we also observed more modest systemic responses (lower HR, MAP, CO) and lower self-reported ratings of perceived exertion (p<0.001) in R30 compared to other protocols. Acute increases in MCACVCi and ICA blood flow observed in R30 (despite the lower perceived effort) may suggest that rhythmic HGE at low-moderate intensities can be a tolerable prescription for inducing exercise-related cerebrovascular adaptations (i.e., improved cerebral perfusion) in populations that may require adapted physical activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".