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Background: Caffeine is commonly used to combat fatigue and enhance both cognitive and physical performance. However, its effects on neurophysiological responses and sport-specific performance following fatigue induction remain unclear, particularly in combat sports such as Taekwondo. This study investigated the effects of a 200 mg caffeine dose on physiological markers, electroencephalographic (EEG) brainwave activity, auditory P300 event-related potentials (ERPs), and Taekwondo-specific performance following combined mental and physical fatigue.
Methods: Thirteen male Taekwondo athletes participated in a randomized, double-blind, crossover study with caffeine (CAF) and placebo (PLA) conditions. Measurements were taken at baseline (pre-supplementation), 30 minutes post-supplementation (post-Sup), and after fatigue induction (post-I). Physiological parameters (heart rate, blood glucose, blood lactate, and ratings of perceived exertion), EEG brainwave activity during resting eyes-open conditions, auditory P300 ERPs, and Taekwondo-specific agility (TSAT) were assessed at all time points.
Results: Caffeine significantly reduced delta wave power at frontal and parieto-occipital sites at post-Sup ( < 0.05), indicating decreased cortical drowsiness; however, this effect was not sustained at post-I ( > 0.05). P300 amplitude significantly increased in the CAF condition compared to PLA from post-Sup to post-I at the central and parietal electrode sites ( < 0.05), while P300 latency remained unchanged ( > 0.05). No significant differences were observed in reaction time, accuracy, or error rate in the auditory oddball task or TSAT performance across conditions ( > 0.05). Similarly, physiological parameters remained unchanged between groups ( > 0.05).
Conclusion: A single 200 mg dose of caffeine reduced central fatigue and enhanced cognitive processing, as reflected by suppressed delta wave activity at post-Sup and increased P300 amplitude at post-I. However, caffeine did not influence physiological responses or Taekwondo-specific performance. These findings suggest that low-dose caffeine primarily benefits cognitive function rather than physical performance in combat sports. Future studies should explore dose-response relationships and individual variability in caffeine metabolism to optimize its application in competitive settings.
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http://dx.doi.org/10.1080/15502783.2025.2526094 | DOI Listing |
Phys Chem Chem Phys
September 2025
School of Electrical and Automation Engineering, Suzhou University of Technology, Suzhou, 215506, China.
A flexible bipolarization conversion metasurface based on graphene is proposed in this paper, which can achieve single-band linear-to-linear (LTL) and dual-band linear-to-circular (LTC) polarization conversion. The polarization conversion ratio (PCR) and axial ratio (AR) are dynamically regulated by varying the sheet resistance () of graphene. When = 1400 Ω Sq, the designed metasurface achieves a single-band LTL polarization conversion of 7.
View Article and Find Full Text PDFEur J Sport Sci
October 2025
University Jean Monnet Saint-Etienne, Lyon 1, University Savoie Mont-Blanc, Inter-university Laboratory of Human Movement Biology, EA 7424, F-42023, Saint-Etienne, France.
The purpose of this study was to evaluate the evolution of jump and sprint force-production capacities with maturation in young soccer players. One hundred sixteen young elite male soccer players aged 11-17 years were assigned to six different groups according to their maturity status. The force-velocity (F-V) profiles in jumping and sprinting performances were compared among groups.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Dipartimento di Chimica, Università di Pavia, Via Taramelli 12, Pavia 27100, Italy.
Machine learning (ML) and deep learning (DL) methodologies have significantly advanced drug discovery and design in several aspects. Additionally, the integration of structure-based data has proven to successfully support and improve the models' predictions. Indeed, we previously demonstrated that combining molecular dynamics (MD)-derived descriptors with ML models allows to effectively classify kinase ligands as allosteric or orthosteric.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Purpose: To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight MRA (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time-consuming acquisition of high-resolution, whole-head angiograms.
Methods: A novel few-shot learning-based reconstruction framework is proposed, featuring a 3D variational network specifically designed for 3D TOF-MRA that is pre-trained on simulated complex-valued, multi-coil raw k-space datasets synthesized from diverse open-source magnitude images and fine-tuned using only two single-slab experimentally acquired datasets. The proposed approach was evaluated against existing methods on acquired retrospectively undersampled in vivo k-space data from five healthy volunteers and on prospectively undersampled data from two additional subjects.
Brain Behav
September 2025
School of Physical Education and Health, Henan University of Chinese Medicine, Zhengzhou, China.
Background: Clinical and basic research suggests that exercise is a safe behavioral intervention and effective in improving cognition in vascular dementia (VD). However, despite global efforts, there is still no effective method to completely cure VD. This study aimed to investigate the effects of long-term exercise pretreatment on typical VD pathology in a rat model, and further compare the neuroprotective impacts of different exercise modalities on VD rats.
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