Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …

Background: Individuals with subjective cognitive decline (SCD) are hypothesized to be the
earliest along the cognitive continuum between healthy aging and Alzheimer's disease (AD) …

Neural oscillations and signal complexity have been widely studied in neurodegenerative
diseases, whereas aperiodic activity has not been explored yet in those disorders. Here, we …

Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the
appearance of the first symptoms of cognitive decline. Subjective cognitive decline (SCD) …

Background To enable successful inclusion of electroencephalography (EEG) outcome
measures in Alzheimer's disease (AD) clinical trials, we retrospectively mapped the …

Background As disease-modifying therapies (DMTs) for Alzheimer's disease (AD) are
becoming a reality, there is an urgent need to select cost-effective tools that can accurately …

Objective. Although magnetoencephalography and electroencephalography (M/EEG)
signals at sensor level are robust and reliable, they suffer from different degrees of distortion …

We present one of the first applications of Permutation Entropy (PE) and Statistical
Complexity (SC)(measured as the product of PE and Jensen-Shanon Divergence) on …

This review highlights the crucial role of neuroelectrophysiology in illuminating the
mechanisms underlying Alzheimer's disease (AD) pathogenesis and progression …

Aim To analyze whether the Lempel–Ziv Complexity (LZC) in quantitative
electroencephalogram differs between the temporal lobe epilepsy (TLE) patients with or …