Scientists from the Department of Psychology at the Uskudar University and the National Brain Hospital, Istanbul, Turkey were able to classify with higher precision patients suffering from frontotemporal dementia and patients with a late-onset bipolar disorder based on their electrophysiological and neural brain profiles. Both conditions share common cognitive and behavioural symptoms, which is a common reason for misdiagnosis. The qEEG analysis measured the relative amount of delta, theta, alpha and beta frequency bands at selected fronto-temporal sites. Out of the four measured frequency bands, the relative amount of theta had the highest predictive power.
Abstract: The behavioral variant frontotemporal dementia (bvFTD) usually emerges with behavioral changes similar to changes in latelife bipolar disorder (BD) especially in the early stages. According to the literature, a substantial number of bvFTD cases have been misdiagnosed as BD. Since the literature lacks studies comparing differential diagnosis ability of electrophysiological and neuroimaging findings in BD and bvFTD, we aimed to show their classification power using an artificial neural network and genetic algorithm based approach… Read further here