Task-Driven Neurophysiological qEEG Baseline Performance Capabilities in Healthy, Uninjured Division-I College...

Area of Science:

• Neuroscience
• Sports Science
• Biomedical Engineering

Background:

• Assessing athletic performance requires objective measures linking brain activity to physiological capabilities.
• Current orthopedic functional assessments lack objectivity and sport-specific functionality for monitoring neuroplasticity.
• Real-time assessment of brain waves with physiological metrics during sport-specific activities is challenging.

Purpose of the Study:

• To evaluate task-driven performance using a novel neurophysiological assessment technique.
• To establish a comparative benchmark of performance capabilities in healthy, uninjured Division-I athletes.
• To explore the utility of quantitative electroencephalography (qEEG) brain mapping in conjunction with physiometrics.

Main Methods:

• A prospective, descriptive case series design was employed.
• Twenty-eight NCAA Division-I athletes (11 female, 17 male) participated.
• Real-time neurophysiological assessment utilized a wireless 21-channel dry EEG headset during functional activities.

Main Results:

• Uninjured athletes exhibited standard brain wave activity fluctuations.
• Key performance indicators included attention, workload capacity, and sensorimotor rhythm (SMR) asymmetries.
• Established a baseline for neurophysiological responses in healthy athletes.

Conclusions:

• Real-time qEEG assessment concurrent with functional activities can establish a performance benchmark for athletes.
• Neurophysiological data can inform athlete preparedness, rehabilitation, injury prevention, and return-to-play decisions.
• Highlighting the need for pre-injury benchmarks for comparative analysis.