Nicola Molinaro

This study finds that musicians show enhanced cortical tracking and functional connectivity during speech and music listening, along with better rhythmic abilities, suggesting domain-general auditory processing advantages.

The paper shows that the cortex encodes speech timing as deviation from expectation across multiple timescales, with durational variability encoding more information than raw duration.

The paper investigates neural synchronization during sentence comprehension and finds that it is driven by structural rather than lexical features, with distinct frequency and phase dimensions for structural processing.

The paper shows that brief exposure to structured musical rhythms enhances cortical tracking of speech in bilingual infants, with effects varying by age, language, and frequency band.

The paper investigates neural synchronization to linguistic structures and natural speech comprehension, finding that synchronization to phrases and sentences persists despite natural speech anisochrony.

This study shows that musical rhythm structures influence cortical speech tracking by guiding brain oscillations to align with speech envelopes.

This study investigates how non-verbal intelligence affects neural responses to auditory words in typical and dyslexic readers, finding distinct patterns in latency and amplitude across groups.

This study examines cortical tracking of speech in adults who stutter compared to fluent adults, finding reduced theta-band tracking and altered connectivity during speech-related listening tasks.

The paper shows that language experience influences how the brain predicts rhythmic sounds using long-term priors, as evidenced by differences in mismatch negativity responses to sound omissions.

This study examines how accumulated language experience affects cortical speech tracking in bilingual children, finding stronger semantic tracking in the more experienced language.

This study uses MEG and MVPA to show early dissociation in brain activity for number and letter processing, with stronger dissociation in strings than single items.

This study uses MEG and machine learning to show that language selection in bilinguals can be decoded from neural activity, with distinct brain regions involved in picture naming and word reading.

The paper examines how cortical oscillations in children and adults track speech structures in noise, showing that prosodic cue maintenance matures earlier than syllabic cue maintenance in noisy environments.

The paper investigates how temporal uncertainty affects neural responses to predictable visual stimuli, finding that uncertainty increases expectation suppression and reduces sustained decoding accuracy for early visual responses.

The paper investigates how alpha and beta brain rhythms support language-mediated visual object recognition by analyzing EEG data during a cue-picture matching task.

The paper uses MEG to show that children's audiovisual brain circuits change with reading experience, detecting letter-speech sound correspondences within 400 ms.

The paper investigates the temporal dynamics of processing happy and sad facial expressions, finding faster processing of happy emotions and increased amplitude for sad emotions when viewed from the right side.

The paper investigates how linguistic input influences brain network configuration during language comprehension using fMRI and graph theory.

The paper examines how the brain tracks speech rhythms during self-produced speech and listening, finding differences in phrasal and syllabic tracking between reading aloud and listening.

The paper shows that during silent lip-reading of unknown speech, auditory cortices entrain to absent speech at low frequencies, suggesting the brain synthesizes speech features from visual input.

The paper investigates how native language experience influences prediction mechanisms in bilinguals, finding that L1 features shape L2 prediction timing and hierarchy.