Changes in EEG Complexity Following Trazodone Administration in a Mouse Model of Alzheimer's Disease

Key Points

• The research aims to evaluate if EEG complexity measures can predict disease progression and treatment efficacy in Alzheimer’s disease models.
• Used a mouse model of Alzheimer's disease
• Administered trazodone
• Measured EEG complexity using MSE (Multiscale Entropy)
• Neural complexity showed significant changes post-trazodone administration
• Findings suggest potential for EEG metrics in tracking disease progression
• Indication of treatment efficacy through alterations in neural complexity patterns