Abstract “Executive functions”(EFs) is an umbrella term for higher cognitive control functions
such as working memory, inhibition, and cognitive flexibility. One of the most challenging …

Drug abuse is a serious problem worldwide. Owing to intermittent intake of certain
substances and the early inconspicuous clinical symptoms, this brings huge challenges for …

Our understanding of a variety of phenomena in physics, biology and economics crucially
depends on the analysis of multivariate time series. While a wide range tools and …

Objectives The objective is to study the changes of brain activity in patients with mild
cognitive impairment (MCI). Using magneto-encephalogram (MEG) signals, the authors …

Achieving abstinence from drugs is a long journey and can be particularly challenging in the
case of methamphetamine, which has a higher relapse rate than other drugs. Therefore, real …

Resting-state EEG reflects intrinsic brain activity and its alteration represents changes in
cognition that are related to neuropathology. Thereby, it provides a way of revealing the …

Anxiety and depression are the most common withdrawal symptoms of methamphetamine
(METH) abuse, which further exacerbate relapse of METH abuse. To date, no effective …

The use of deep neural networks for electroencephalogram (EEG) classification has rapidly
progressed and gained popularity in recent years, but automatic feature extraction from EEG …

Visibility algorithms are a family of methods that map time series into graphs, such that the
tools of graph theory and network science can be used for the characterization of time …

This study aimed to examine the effects of chronic methamphetamine use on the topological
organization of whole-brain functional connectivity network (FCN) by reconstruction of …