NEURO-PHYSIOLOGICAL SIGNATURES OF PEAK PERFORMANCE [A QUANTITATIVE qEEG PERSPECTIVE]

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Authors: Neha Chary, Prof Dr S Sandhya, Dr. Satpathy J., sweta adatia, Ananya Gupta, Jia Loomba, Shreya Bhatt, Gopika Gopakumar Sindhu
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Abstract

Peak performance in domains such as sports, academics, and high-stakes professions is often underpinned by distinct neuro-physiological patterns. Quantitative Electroencephalography (QEEG) has emerged as a pivotal tool in identifying these patterns, offering insights into the neural correlates of elite performance. This paper synthesizes experiment – based studies on QEEG findings related to peak performers, highlighting consistent markers such as elevated Sensorimotor Rhythm (SMR), frontal midline theta activity, and specific coherence patterns. The implications of these findings for performance enhancement and neuro-feedback interventions are discussed. The paper explores neurophysiological underpinnings associated with achieving peak performance, using quantitative electroencephalography (qEEG) as a primary tool for analysis. It discusses how specific brain wave patterns correlate with optimal functioning in various domains, including sports, academics, and artistic endeavors. Authors emphasize that understanding these signatures can lead to enhanced training methods and performance outcomes. The paper presents empirical evidence gathered from diverse studies, which highlight brainwave patterns such as alpha, beta, theta, and gamma waves in relation to states of flow, focus, and creativity. Additionally, it delves into the practical implications of these findings, suggesting that athletes, musicians, and other high performers may benefit from tailored neurofeedback strategies to elevate their performance. The paper concludes by advocating for further research into how these neurophysiological markers can be utilized in coaching, therapy, and skill development, ultimately paving the way for achieving peak performance through informed interventions.

Fields of Study & Subjects

Sport Psychology and Performance Neural dynamics and brain function Flow Experience in Various Fields

Publication details

Volume
10
Issue
02
Pages
58–138
Publication date
8 February 2026