Action Observation and Synchronization

This study examines how expectations influence biological motion perception using point-light displays, finding that action-related cues significantly affect response times in specific conditions.

This study explores inter-brain synchronization during minimal tactile interaction using EEG hyperscanning and identifies alpha-band connectivity patterns, though results are preliminary and not individually significant.

The paper uses DCM on fMRI data to show cerebellar control switches from excitatory to inhibitory during action execution versus observation, revealing distinct functional roles in motor planning and sensorimotor feedback.

The paper investigates AOENs in multiple frontal areas, finding similar phasic responses and shared representations between action execution and observation.

The paper uses predictive processing theory to identify distinct brain regions involved in prediction formation and feedback processing during social cognition tasks, revealing functional dissociations in social brain networks.

This study uses machine learning to classify social connection based on DMN neural synchrony during conversations, finding that synchrony in specific brain regions predicts self-reported connection.

This study examines infra-slow EEG rhythms and bodily signals during social interaction, finding that inter-participant alignment in these signals correlates with mutual recognition.

This study shows that familiarity with tools affects how people visually explore them, with familiar tools leading to earlier and sustained attention on manipulative features.

This study shows that multi-person neurofeedback increases inter-brain coupling and social connectedness in dyads compared to a control group.

The paper investigates neural mechanisms underlying visuomotor co-regulation in social synchronization using fMRI, finding distinct brain activity patterns for joint action and non-interactive conditions.

This paper compares methods for analyzing brain synchrony in social interactions using simulations and proposes a new GLM-based approach that better captures dynamic relationships.

This study uses EEG hyperscanning to examine inter-brain similarity and connectivity during patient-acupuncturist interactions, finding that acupuncture affects both spatial correlation and specific frequency band connectivity.

This study investigates how neural entrainment and beta modulation contribute to self/other integration during joint action using virtual reality and EEG hyperscanning.

The paper examines how synchronous movement affects implicit self-concept and self-other blurring using the IAT and IOS scale, finding increased self-other blurring and altered semantic associations with synchronous group images.

This paper uses multivariate modeling of EEG data from dyadic dance to decode neural processes related to music, movement, and social coordination, identifying a new neural marker for social alignment.

This study investigates how the bodily appearance of a virtual partner affects brain activity related to action observation and monitoring during a minimally interactive task.

The paper investigates how humans and macaques process biological motion stimuli from their own and other species, finding shared and distinct neural coding patterns in brain regions involved in motion perception.

This fMRI study investigates how prior expectations influence biological motion perception using predictive cueing, showing expectation-dependent modulation of the action observation network.

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

This study investigates how the human brain decodes physical action features by analyzing neural responses in parietal cortex and LOTC to different types of action stimuli.

This study investigates how sensorimotor associative learning reshapes motor resonance in M1 using PAS, revealing distinct neural dynamics in alpha and beta bands.

The paper evaluates how action, agent, and scene features predict cortical activity during natural vision and finds action features capture the most unique variance across the cortex.

This paper introduces a novel hyperscanning-EEG method using two-brain microstates to quantify task-driven inter-brain asymmetry during social interactions.

The paper shows that the human cortex distinguishes naturalistic body motion from objects at the P2 stage, with similar body-specific modulation across human and monkey stimuli.

This study examines cortical network dynamics during action observation and preparation in corticobasal syndrome patients, finding reduced beta power suppression and altered timing in CBS compared to controls.

The paper uses dual EEG to compare neural dynamics during joint and parallel action preparation, finding a distinctive ERP amplitude swap with late-phase reductions linked to partner behavior variability.

The paper tests if social predictions during observation of interactions influence perception of emotional expressions, finding behavioral and neural evidence for this effect.

This study uses HD-DOT to examine brain activation during motor observation and imitation in autistic and non-autistic adults, finding task-specific MNS activation and associations with autistic traits.

This study examines social coordination in schizophrenia using a joint finger-tapping task and finds disrupted inter-brain synchronization and behavioral coordination.

The paper shows that behavioral models of action purpose and social content better predict neural representational geometry than other models in the action observation network.