Diagnostic Implications of EEG Analysis in Patients with Dementia

New methods of electroencephalogram (EEG) analysis show promise in differentiating among types of dementia. While these measures alone are useful, their diagnostic contribution increases when combined with clinical parameters using higher order decision models such as neural network models and hybrid systems. Three categories of patients are included in the current study, Alzheimer's patients (AD), minimal cognitive impairment (MCI), and normal controls. Results show that patients can be categorized accurately using the combination of EEG synchronization results and selected clinical parameters