Alessandro Carollo

The paper examines neural synchrony in dyads during a cooperative task and finds it varies with relationship type and performance metrics.

This paper shows that physiological group synchrony can be analyzed as a network topology, revealing how synchronization is distributed across individuals and relationships, rather than just as an aggregate of pairwise alignments.

This study evaluates wavelet transform coherence (WTC) in fNIRS hyperscanning, showing it reliably detects temporal correspondence but is context-sensitive, particularly influenced by social co-presence.

This study finds that higher maternal neuroticism is linked to stronger interpersonal neural synchrony with children during passive and free interactions, but not during structured tasks.

This study examines how interpersonal closeness and social interactivity affect neural synchrony using hyperscanning, finding that true dyads show higher synchrony than surrogates, with variations by dyad type and interaction condition.

This study investigates how emotional and linguistic features influence prefrontal functional connectivity during real-life dialogues using fNIRS hyperscanning and computational analysis.

This study finds that emotional content in dialogues predicts prefrontal neural synchrony better than syntactic/semantic features, with emotional content showing stronger overall associations.