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Record W4410850617 · doi:10.7759/cureus.c226

Waves of Endurance: A Pilot Study of Beta Brain Wave Signatures Linked to Immune Adaptation in Transatlantic Rowers

2025· erratum· en· W4410850617 on OpenAlexaff
Merin Chandanathil, Daniel P. Longman, Tomasz Nowak, Jonathan C. K. Wells, Jay T. Stock, Michael P. Muehlenbein, Hannah Schneiders, Vasavi Rakesh Gorantla, Courtney Lewis, Richard M. Millis

Bibliographic record

VenueCureus · 2025
Typeerratum
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineBrain wavesAdaptation (eye)BETA (programming language)Immune systemNeuroscienceElectroencephalographyImmunologyPsychiatry

Abstract

fetched live from OpenAlex

Background: Ultra-endurance athletics, such as transoceanic rowing, imposes significant physiological stress, leading to muscle catabolism and alterations in immune function. A case series pilot study from our laboratory suggests that the central nervous system may mirror these changes through a pattern of disproportionately high beta brainwave voltage amplitude activity that promotes vigilance. This study investigates the relationship between quantitative electroencephalographic (qEEG) brainwave patterns and markers of innate immune responses in a group of transatlantic rowers post-competition. Methods: Twenty-four transatlantic rowers (18 male, 6 female; mean age 31 ± 11 years) were assessed immediately after completing a transatlantic rowing competition of 30 to 53 days duration. EEG recordings measured voltage amplitudes of slow delta (1-3 Hz), theta (4-7 Hz), alpha (8-12 Hz), and fast beta (13-30 Hz) brainwaves under eyes-open and eyes-closed conditions. Pre- and post-race plasma cortisol, testosterone, leptin, myoglobin, total antioxidant content (TAC), malondialdehyde (MDH), collagen oligomeric matrix protein (COMP), IL-6, bacterial killing activity (BKA), and hemolytic complement activity (HCA) assays were used to assess changes in stress responses and immune functions. Student’s paired t-test and Pearson’s product-moment coefficient were used to evaluate the significance of pre- versus post-race differences in oxidative stress- and immunologic-related biomarkers, as well as correlations between the post-race qEEG parameters and the pre- versus post-race biomarker differences. Results: The changes in body weight were significantly negatively correlated with the changes in cortisol and COMP (r = -0.40, p < 0.05) and significantly positively correlated with the changes in leptin (r = +0.6, p < 0.01). Voltage amplitudes of fast beta waves, under both eyes-open and eyes-closed conditions, positively correlated with the pre- versus post-race percent change in BKA (r = +0.42, +0.44, p < 0.05) and negatively correlated with the pre- versus post-race percent change in HCA (r = -0.65, -0.66, p < 0.01). Conclusion: These findings support the hypothesis that prolonged intense physical exertion may induce a pattern of intense cerebral cortical activation correlated with immune modulation. The increased fast beta activity positively correlated with enhanced bacterial killing and decreased HCA, suggesting a link between cortical arousal and immune adaptation. These findings underscore the interconnectedness of neurophysiological states and physiological stress responses in ultra-endurance athletes.

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)0.001
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 score0.888
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.317
Teacher spread0.270 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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