Leonardo Bonetti

This study identifies three interacting brain networks involved in music recognition, showing how they dynamically coordinate sensory, memory, and decision processes.

The paper shows that structured recurrence of neural processes predicts better memory recognition performance in auditory tasks.

This study shows that ageing reshapes the frequency-resolved organisation of whole-brain networks in healthy adults, with changes in network prominence and spatiotemporal expression across frequencies.

This study shows that neural reactivation occurs during memory encoding, not just consolidation, and correlates with memory performance.

This study uses MEG to show that simple and complex musical sequences elicit distinct neural activity patterns during memory encoding, with complex sequences involving more hippocampal recruitment.

This study applies the FREQ-NESS pipeline to MEG data to analyze age-related differences in frequency-specific brain networks during auditory tasks and rest.

This study investigates how gaming addiction spreads through social interaction by analyzing neural pathways in dyadic gaming sessions using HYPER-NESS.

The paper simulates lesions in age-sensitive white-matter regions to show that healthy ageing involves a selective reconfiguration of structural connectivity rather than uniform decline.

The paper investigates how predictive processing networks change with age, finding that aging redistributes resources across subsystems rather than uniformly weakening them.

This study shows that ibogaine treatment in PTSD veterans is linked to reorganization of high-beta brain networks, which correlates with symptom improvement.

This paper investigates how and when brain stimulation drives state transitions by analyzing subject-specific whole-brain models of neural dynamics.

This study identifies reduced inter-hemispheric brain connectivity in patients with functional somatic disorders, multiple chemical sensitivity, and post-COVID-19 conditions compared to healthy controls.

The paper investigates neuronal dynamics during mental sound manipulation using intracranial recordings, finding changes in local excitability and inter-areal synchrony.

This paper introduces BROAD-NESS to study auditory memory networks and finds dual-stream mechanisms and whole-brain coordination in predictive coding.

This study uses MEG to investigate short-term auditory recognition by analyzing neural responses to same versus different sounds, finding distinct patterns in early and late negative components.

This review evaluates neurophysiological measures in healthy aging, MCI, and dementia using EEG, MEG, and combined methods, highlighting their potential as diagnostic tools and the need for standardization.

The paper investigates brain networks involved in predictive coding of temporal sequences using MEG, finding modality-specific and shared networks for auditory and visual processing.

This study examines how working memory (WM) relates to long-term memory (LTM) recognition of musical sequences, finding WM impacts novel sequences more in older adults than younger ones, and musical training improves memory performance.

This study shows humans form incidental sensory associations through neural prediction errors and uncertainty modulation, challenging assumptions about learning requiring behavioral relevance.

FREQ-NESS estimates frequency-resolved brain networks using MEG data, revealing simultaneous networks and their interactions during resting state and auditory stimulation.

This study uses MEG data to show LSD reconfigures brain network frequencies and spatial distributions in specific frequency bands across different experimental conditions.

This paper introduces a framework to quantify irreversibility in brain network dynamics across multiple levels and identifies higher-order organizational patterns in human brain interactions.

This study examines how aging affects auditory and timing processing by analyzing neural responses to isochronous tone sequences in older and younger adults.

This study uses artificial neural networks to analyze personality and cognitive traits of 328 soccer players, finding elite players have enhanced executive functions and specific personality traits.

This paper reviews and meta-analyzes studies on the major-minor mode dichotomy in music, finding distinct neural and emotional responses and proposing a framework incorporating individual factors.

This study investigates how the brain generalises abstract musical concepts over time using MEG, finding that neural responses to novel sequences differ significantly at faster paces.

The paper decodes neural representations of perceived and imagined melodies from MEG data, revealing distinct brain networks for sensory processing and abstract melody representation.

This study identifies thalamo-frontal alpha band connectivity patterns in Tourette Syndrome using DBS and EEG, linking reduced connectivity to tic severity and pre-tic dynamics.

This study uses MEG to investigate hierarchical brain mechanisms during auditory memory recognition and predictive coding, showing feedforward and backward connections and distinct power dynamics in different brain regions.

This study shows that hierarchical music syntax models predict theta power in brain regions associated with language and reward during music listening.