Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …

Background New community-based arrangements and novel technologies can empower
individuals to be active participants in their health maintenance, enabling people to control …

The present study aimed to step into two-person neuroscience by investigating the
hemodynamic correlates of between-brain connectivity involved in imitation and its …

This article describes the combination of multivariate Granger causality analysis, temporal
down‐sampling of fMRI time series, and graph theoretic concepts for investigating causal …

This article presents a wavelet coherence investigation of electroencephalograph (EEG)
readings acquired from patients with Alzheimer disease (AD) and healthy controls. Pairwise …

The present study aimed to step into two-person neuroscience by investigating the
hemodynamic correlates of between-brain connectivity during joint task performance. To test …

Electrophysiological measures of brain function are effective tools to understand
neurocognitive phenomena and sensitive indicators of pathophysiological processes …

OBJECTIVE: To investigate whether applying advanced machine learning (ML)
methodologies to pre-treatment electroencephalography (EEG) data can predict the …

Aims Schizophrenia (SZ) is characterized by psychotic symptoms and cognitive impairment,
and is hypothesized to be a 'dysconnection'syndrome due to abnormal neural network …

A better understanding of cortical modifications related to movement preparation and
execution after robot-assisted training could aid in refining rehabilitation therapy protocols …