During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD)
considering the disease as a continuum. Thanks to evolving biomarker research and …

Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive
(cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming …

Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In
this review, we have investigated potential MEG applications for analysing brain disorders …

Neural oscillations were established with their association with neurophysiological activities
and the altered rhythmic patterns are believed to be linked directly to the progression of …

Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …

Background The apolipoprotein E epsilon 4 (APOE-4) is associated with a genetic
vulnerability to Alzheimer's disease (AD) and with AD-related abnormalities in cortical …

Brain functional connectivity in dementia has been assessed with dissimilar EEG
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …

Alzheimer's disease (AD) is accompanied by functional brain changes that can be detected
in imaging studies, including electromagnetic activity recorded with …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

A complex network approach is combined with time dynamics in order to conduct a space–
time analysis applicable to longitudinal studies aimed to characterize the progression of …