Enhancing Translational Stroke Rehabilitation: Task-Specific Action Observation Therapy for Motor Network Optimization

BackgroundAction Observation Therapy (AOT) leverages mirror neuron system (MNS) activation to enhance neuroplasticity and motor recovery after stroke. While AOT has demonstrated positive effects, the neural mechanisms underlying its efficacy, particularly regarding task type and motor network engagement, remain unclear. This observational cohort study investigates cortical activation during the observation of goal-oriented Activities of Daily Living (ADLs) in healthy individuals and chronic stroke patients. MethodsTwenty stroke survivors with right hemiparesis ([&ge;]6 months post-stroke) and 23 age-matched healthy controls observed standardized videos of finalized actions (FA), non-finalized actions (NFA), and control videos (CV). A time-frequency electroencephalography (EEG) signal analysis examined sensorimotor rhythm modulation during action observation (AO), Event-Related Spectral Perturbation (ERSP) analysis was used to quantify mu rhythm desynchronization (8-13 Hz) and beta suppression (14-25 Hz). ResultsHealthy individuals exhibited significant mu rhythm desynchronization, predominantly in the beta band, with stronger and prolonged responses to goal-directed actions (self-care and feeding). Stroke patients showed delayed and attenuated beta suppression, particularly in the affected hemisphere, but retained selective responsiveness to goal-oriented tasks. Rebound effects occurred in all categories in both groups but were most pronounced for NFA and CV, particularly in the beta band (e.g., t(44) = -4.28, p < 0.0001 and t(44) = -2.163, p = 0.04 in healthy individuals). ConclusionsThis study underscores the importance of task specificity in AOT, demonstrating that goal-directed actions optimize motor network engagement. Attenuated but preserved beta suppression in stroke survivors supports the integration of standardized ADLs into AOT protocols to enhance neuroplasticity and motor recovery. Findings highlight the potential for EEG-based biomarkers to monitor AOT efficacy and personalize stroke rehabilitation, with possible implications for digital health and telerehabilitation applications. Clinical Trial RegistrationClinical Trial Registration - URL: http://www.clinicaltrials.gov. Unique identifier: NCT04047134.