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Surmeli, T., Eralp, E., Mustafazade, I., Kos, H., Özer, G.E. and Surmeli, O.H. (2015) Quantitative EEG Neurometric Analysis–Guided Neurofeedback Treatment in Dementia. Clinical EEG and Neuroscience, 47, 118-133.
https://doi.org/10.1177/1550059415590750

has been cited by the following article:

• 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