Decoding the Attentional Demands of Gait through EEG Gamma Band Features

This study investigates the relationship between a person's attention level while walking and their brain activity, specifically using EEG (electroencephalography) to measure brain signals. The research involved healthy individuals and patients with spinal cord injuries who walked on a treadmill while performing different attention-demanding tasks. The goal was to identify brainwave patterns (especially in the gamma frequency band) that correlate with different levels of attention during walking, which could help develop real-time feedback systems for rehabilitation.

• 1
  Gamma band frequencies in EEG signals are related to selective attention mechanisms during gait.
• 2
  Classification models using gamma band features could distinguish between different attention tasks with a success rate of 67% for healthy users and 59% for patients.
• 3
  Patients with spinal cord injuries showed different brain activity patterns compared to healthy users, suggesting they pay more attention to gait even during distracting tasks.