Both normal aging and Alzheimer's disease (AD) are associated with changes in cognition,
grey and white matter volume, white matter integrity, neural activation, functional …

Our objective was to identify the physiological measures that are sensitive to assessing
cognitive workload across the spectrum of cognitive impairments. Three database searches …

The ever increasing proportion of aged people in modern societies is leading to a
substantial increase in the number of people affected by dementia, and Alzheimer's Disease …

Mild cognitive impairment (MCI) is a cognitive disorder characterized by memory
impairment, greater than expected by age. A new methodology is presented to identify MCI …

Background Brain oscillatory responses can be used for non-invasive analyses of cortico-
cortical connectivity, local neuronal synchronization, and coherence of oscillations in many …

Our work aimed to demonstrate the combination of machine learning and graph theory for
the designing of a connectomic biomarker for mild cognitive impairment (MCI) subjects using …

Brain activity and communications are complex phenomena that dynamically unfold over
time. However, in contrast with the large number of studies reporting neuroanatomical …

The present study is aimed at the classification of mild cognitive impairment (MCI) EEG by
combining complexity and synchronization features based on quantifiers from the common …

Purpose: Diabetes is a great risk factor for dementia and mild cognitive impairment (MCI).
This study investigates whether complex network-derived features in resting state EEG …

Cognition is the most complex function of the brain. When exploring the inner workings of
cognitive processes, it is crucial to understand the complexity of the brain's dynamics. This …