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Cecchetti, G., Agosta, F., Basaia, S., Cividini, C., Cursi, M., Santangelo, R., et al. (2021) Resting-State Electroencephalographic Biomarkers of Alzheimer’s Disease. NeuroImage: Clinical, 31, Article 102711.
https://doi.org/10.1016/j.nicl.2021.102711

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• TITLE: Feasibility Study of Neurofeedback Therapy for Alzheimer’s Disease

  AUTHORS: Ruyu Li, Min Yang

  KEYWORDS: Alzheimer’s Disease, Brain-Computer Interface, Neurofeedback, Cognitive Function, Disruptive Behaviors

  JOURNAL NAME: Advances in Alzheimer's Disease, Vol.13 No.3, August 29, 2024

  ABSTRACT: Objective: This study aims to evaluate the feasibility and effectiveness of neurofeedback therapy based on brain-computer interface (BCI) games in enhancing cognitive functions and reducing disruptive behaviors in patients with Alzheimer’s disease (AD). Methods: Forty-six AD patients aged 49 - 76 years were recruited for the study. Neurofeedback regulation was conducted using a BCI game designed to modulate EEG rhythms. Cognitive function was assessed using MMSE, MoCA, and ADAS-cog scales before and after a 10-day training period. EEG measurements were taken to evaluate changes in brain activity complexity. Statistical analyses were performed using SPSS25.0 software to compare pre- and post-training scores. Results: Post-intervention results showed significant improvement in the cognitive function of AD patients. The total scores of MMSE, MoCA, and ADAS-cog scales increased significantly (P