Effects of Two Different Multicomponent Cognitive–Motor Training Protocols on EEG Spectral Activity, Cognitive–Motor Interference, and Gait Performance in Individuals with Chronic Stroke: A Randomized Controlled Trial
Background and Objectives: This trial examined whether two task-complexity gait training protocols differentially affect EEG spectral activity, cognitive–motor interference, and gait performance in chronic stroke. Materials and Methods: Forty-four participants were randomly allocated to Progressive Task-Complexity Gait Training (PTCGT; n = 22) or Constant Task-Complexity Gait Training (CTCGT; n = 22). Both groups trained for 4 weeks using the same auditory-feedback walker. PTCGT progressed from obstacle avoidance to rhythmic auditory cueing plus obstacle avoidance, followed by a verbal fluency dual-task. CTCGT maintained rhythmic auditory cueing plus obstacle avoidance. Outcomes included EEG theta, SMR, mid-beta, Concentration Index, SEF-50, DTC%, and GAITRite gait parameters. Results: Significant group-by-time interactions were observed for EEG and gait measures. DTC showed a significant interaction in repeated-measures ANOVA (p = 0.041), but not in mixed-effects sensitivity analysis (p = 0.088). PTCGT showed greater pre–post changes in EEG and gait outcomes, whereas the DTC difference was less robust. Conclusions: PTCGT was associated with greater changes in EEG spectral characteristics and gait performance than CTCGT. However, these differences cannot be attributed specifically to the progressive task-complexity protocol because PTCGT also involved additional cognitive-task exposure and greater task complexity. In addition, because cognitive-task performance was not quantitatively assessed, improvements in dual-task ability or cognitive–motor integration cannot be established.
Authors
- Si-A Lee (ORCID: https://orcid.org/0000-0002-7914-7480)
- Shin‐Young Park (ORCID: https://orcid.org/0000-0002-6073-4634)
Institutions
- Korea National University of Transportation (KR)
Publication Details
- Journal
- Medicina
- Published
- 2026-09-09
- DOI
- https://doi.org/10.3390/medicina62091738
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00