Alzheimer's disease (AD) is the most common type of neurodegenerative disorder, typically
causing dementia along aging. AD is mainly characterized by a pathological extracellular …

Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …

Alzheimer's disease (AD) accounts for 60%–70% of all dementia cases, and clinical
diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify …

Medical studies have shown that EEG of Alzheimer′ s disease (AD) patients is “slower”(ie,
contains more low‐frequency power) and is less complex compared to age‐matched …

In this study, a multiple kernel learning support vector machine algorithm is proposed for the
identification of EEG signals including mental and cognitive tasks, which is a key component …

Brain oscillations have gained tremendous importance in neuroscience during recent
decades as functional building blocks of sensory–cognitive processes. Research also …

PURPOSE This pilot study was to find the influence of complete denture on the brain activity
and cognitive function of edentulous patients measured through Electroencephalogram …

Previous studies have shown abnormal power and functional connectivity of resting state
electroencephalographic (EEG) rhythms in groups of Alzheimer's disease (AD) compared to …

Parkinson's disease (PD) and Alzheimer's disease (AD) can coexist in severely affected;
elderly patients. Since they have different pathological causes and lesions and …

Electrophysiological measures of brain function are effective tools to understand
neurocognitive phenomena and sensitive indicators of pathophysiological processes …