Networks

Paper in progress: Hyperscanning is a promising tool for investigating the neurobiological underpinning of interaction and affective bonds. In this context, networks can identify brain functional mechanisms and regions involved during interactions.

Increasing student involvement in classes has always been a challenge for teachers and school managers. In online learning, some interactivity mechanisms like quizzes are increasingly used to engage students during classes and tasks.

By using a combination of gradient boosting machines and centrality hub metric, it was possible to identify potential confounders to be considered when conducting association analyses among variables.

We adapted eeg coordinates from the “eeg_positions” library (Python) to convert to Cartesian coordinates of the channels of fNIRS.