Léonardo Ceravolo

The paper examines how preterm birth affects neural entrainment to speech rhythms in 6-month-old infants, finding differences in frequency tuning between term and preterm infants.

In 30 six-month-olds, 2 Hz syllable sequences selectively raised delta EEG power in right frontal and left temporal clusters; right frontal tuning grew over blocks; voice familiarity altered theta responses.

This study uses voxel-wise encoding models to identify brain regions integrating prosody and semantics during non-literal speech comprehension, finding left IFGorb involvement when context is considered.

Shared book reading improves physiological synchrony and autonomic regulation in preterm infant-parent dyads compared to an active control condition.

This study examines how attention mechanisms influence cerebellar and basal ganglia activity during explicit and implicit vocal emotion decoding tasks using fMRI.

The paper investigates how the brain integrates affective prosody and semantics in non-literal speech, finding prosody dominance and a distributed neural network involved.

This study examines how cerebellar stroke affects vocal emotion recognition under different attentional demands using behavioral, computational, and neuroimaging methods.

The paper investigates how human temporal voice areas respond to nonhuman primate vocalizations, finding specific activation patterns for chimpanzee vocalizations.

This study investigates how induced throat vibrations influence emotional vocalization categorization and shows that vibrations modulate early neural responses during emotion recognition.

This study uses fMRI to investigate brain regions associated with approach and avoidance tendencies toward physical activity and sedentary stimuli, finding distinct neural correlates for each behavior.

This study uses fNIRS to investigate frontal cortex activity during categorization and discrimination of affective vocalizations in humans and non-human primates, finding differential activation patterns in IFGtri and PFC.

The paper investigates neural mechanisms for voice perception in noise by analyzing brain activity under varying noise conditions, finding key networks involved in voice comprehension.

The paper investigates neural correlates of vocal emotion production, showing brain activation patterns related to vocal cord vibrations and emotional voice expression.

The paper investigates how the human brain processes primate vocalizations, finding distinct frontal brain activity patterns for different species.

This study inhibits inferior frontal cortex activity during affective speech processing and finds it improves decision speed and accuracy for clear speech while reducing cortical activity and increasing fronto-limbic connectivity.

The paper shows that frontoparietal and cerebellar networks are crucial for predicting intentions in altered perceptual conditions, especially when visual representations are spatially and temporally modified.

This study uses high-resolution fMRI to investigate the role of basal ganglia and cerebellum in vocal emotion processing, finding their involvement in activation and connectivity patterns for emotional voices.

This study uses fNIRS to examine brain activity during emotion discrimination and categorization in voices, finding hemispheric differences in processing fear and anger.