Dante Mantini

The paper investigates whether implicit motor adaptation in young and older adults is similarly modulated by task outcomes, finding no consistent age effect in the motor domain but effects in the cognitive domain.

This study shows that cerebellar motor functions remain preserved in older adults despite structural degeneration, while non-cerebellar sensorimotor functions decline with age.

This study examines how chronic sleep restriction affects cortical activity during motor tasks using high-density EEG, finding increased ERD in sensorimotor and attention networks during dorsiflexion.

This study identifies cortical cell-type and receptor gradients that correlate with resting-state alpha-BOLD coupling patterns.

The paper examines cerebellar resilience to task demands in healthy adults across age groups, finding task-specific resilience in motor functions but not in cognitive functions or general sensorimotor performance.

The paper investigates age-related changes in motor control during multi-joint movements, finding preserved feedforward control but deteriorated feedback control in older adults.

This study uses fMRI and EEG to distinguish internally and externally oriented spontaneous thoughts during rest, finding distinct neural patterns in brain networks and alpha power.

This study reviews EEG-EMG connectivity during gait, finding significant neuromuscular connectivity in healthy individuals and its modulation by task demands and pathology.

This paper compares EEG and fMRI data using spatio-spectral decomposition, finding that EEG patterns show weak but significant spatial similarity to fMRI BOLD signatures, with complementary information.

This study uses EEG during pinprick stimulation to assess sensorimotor impairments in stroke patients, finding correlations between EEG oscillations and recovery outcomes.

The paper investigates how interhemispheric zero-phase entrainment of the mu-rhythm affects visuomotor integration and predictive coding through neural and behavioral markers.

The paper examines how education affects cognitive performance and resting state fMRI connectivity in healthy aging, finding education differentiates cognitive and neural profiles, particularly in the default mode network.

This study shows that MEG signatures for individual identification improve during task-related behavior compared to resting-state, with controlled tasks showing the most significant improvements.

The paper shows that motor sequence learning leads to persistent hippocampal and striatal activity patterns during post-learning rest, indicating reactivation of learning-related neural activity.

This study examines age-related changes in endogenous GABA, functional connectivity, and behavioral flexibility during dynamic motor tasks.

This study investigates the effects of beta and gamma-band stimulation on motor inhibition using tACS, finding that beta stimulation enhances inhibition while gamma may slow braking.

This study examines how resting-state brain network connectivity relates to motor learning and memory consolidation using high-density EEG.

This study shows older adults exhibit greater sensory attenuation during force production on the arm, challenging the assumption that this is due to impaired somatosensation.

This study shows that prefrontal stimulation before motor sequence learning alters multivoxel patterns in the striatum and hippocampus, suggesting effects on offline consolidation.

This study investigates the spectral features of the brain's meso-scale structure at rest, finding frequency-specific organization patterns across different brain regions.

This study shows that prefrontal cortex stimulation modulates hippocampal and striatal responses during motor learning using neuroimaging techniques.

This study uses hdEEG to analyze neural oscillations during working memory tasks, identifying specific spectral patterns associated with update, maintenance, and readout phases.

This paper introduces MOU-EC, a whole-brain effective connectivity model for fMRI data to study brain cognition in health and disease, showing its application in extracting task-specific biomarkers and interpreting connectivity changes.

This paper demonstrates a method to volitionally up- and downregulate cortical excitability using neurofeedback, showing changes in brain state and oscillations.

This study identifies a distinct functional connectivity mode during movie-watching that reflects individual differences and is stable over time.

This study uses multi-method brain imaging to show that dyscalculia involves both impaired non-symbolic magnitude representations and altered connectivity in brain regions.

This paper extracts subject- and behavior-specific signatures from fMRI data using effective connectivity, showing they are topologically orthogonal and useful for individualized applications.

This study characterizes the ballistocardiogram (BCG) artifact in EEG signals during simultaneous fMRI, identifying its temporal and spatial dynamics and proposing insights for improved artifact removal.

This study reconstructs resting-state networks from macaque ECoG data using source-space independent component analysis, identifying seven cortical generators in the motor system with spatially continuous dynamics.

The paper introduces a coil spacer to reduce signal disturbances in combined TMS-EEG recordings by separating the TMS coil from EEG electrodes.