Entropy is originally introduced to explain the inclination of intensity of heat, pressure, and
density to gradually disappear over time. Based on the concept of entropy, the Second Law …

Maintaining sustained attention during a prolonged cognitive task often comes at a cost:
high levels of mental fatigue. Heuristically, mental fatigue refers to a feeling of tiredness or …

The human brain is a large-scale system of functionally connected brain regions. This
system can be modeled as a network, or graph, by dividing the brain into a set of regions, or …

In the present study, a novel data-driven topological filtering technique is introduced to
derive the backbone of functional brain networks relying on orthogonal minimal spanning …

The cross-frequency coupling relationship of EEG signals is of great significance to identify
abnormal EEG signals and diagnose diseases. This paper proposes a new algorithm …

Ordinal time series analysis is based on the idea to map time series to ordinal patterns, ie,
order relations between the values of a time series and not the values themselves, as …

EEG emotion recognition based on Granger causality (GC) brain networks mainly focus on
the EEG signal from the same-frequency bands, however, there are still some causality …

Quantifying distributed information processing is crucial to understanding collective motion
in animal groups. Recent studies have begun to apply rigorous methods based on …

The resting activity of the brain can be described by so-called intrinsic connectivity networks
(ICNs), which consist of spatially and temporally distributed, but functionally connected …

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 …