Alpha EEG Neurofeedback – Squat Performance and Training Status (Judokas 2024)

This dataset accompanies the research article titled "Effects of Alpha-Band EEG Neurofeedback on Load-Specific Squat Performance in Competitive Judokas: The Role of Training Status", which investigates the influence of alpha-band EEG neurofeedback on lower-body strength performance across varying load intensities (35%–100% 1RM) in elite male judokas. The dataset includes: Raw EEG data collected at F3 and F4 sites (10–20 system), Computed Frontal Alpha Asymmetry Index (FAI), Pre- and post-intervention squat performance data across five relative loads, Stratification data for training groups (advanced vs. moderately trained), Derived delta indices (ΔFAI, ΔReps), Calculated neuromuscular efficiency metrics (ΔReps/ΔFAI), Full R scripts used for data preprocessing, statistical analyses (RM-ANOVA, MANOVA, ANCOVA), and visualization. The neurofeedback protocol involved 15 alpha-modulation sessions and was implemented over a 4–5-week period. All data have been de-identified in accordance with ethical guidelines and open science principles. This repository was preregistered and timestamped prior to formal analysis to ensure full transparency and reproducibility. The materials adhere to the FAIR data principles and are openly accessible for replication and secondary analysis.本数据集配套于题为《α频段脑电（electroencephalogram, EEG）神经反馈对竞技柔道运动员负重特异性深蹲表现的影响：训练状态的作用》的研究论文，该研究探究了α频段脑电神经反馈对精英男子柔道运动员在不同负重强度（35%~100% 单次最大负重（1RM））下的下肢力量表现的影响。 本数据集具体包含以下内容： 1. 采集自F3、F4电极位点（采用10-20系统）的原始脑电数据； 2. 计算得到的额叶α波不对称指数（Frontal Alpha Asymmetry Index, FAI）； 3. 五种相对负重下干预前后的深蹲表现数据； 4. 训练组分层数据（高水平训练组vs中等训练水平组）； 5. 衍生差值指标（ΔFAI、ΔReps）； 6. 计算得到的神经肌肉效率指标（ΔReps/ΔFAI）； 7. 用于数据预处理、统计分析（重复测量方差分析RM-ANOVA、多元方差分析MANOVA、协方差分析ANCOVA）及可视化的完整R脚本。 本次研究的神经反馈方案包含15次α波调节训练，实施周期为4~5周。所有数据均已按照伦理准则与开放科学原则完成去标识化处理。 本数据集仓库已于正式分析前完成预注册并标注时间戳，以确保研究的完全透明性与可重复性。本数据集遵循FAIR数据原则，可公开获取以用于研究复现与二次分析。