Paolo Belardinelli

Aperiodic neural activity predicts cortical excitability in TMS-EEG

This study shows that pre-stimulus aperiodic neural activity, not periodic alpha/beta power, better predicts cortical excitability measured via TMS-EEG in motor and prefrontal regions.

Real-time brain-state-coupled cortico-cortical paired associative stimulation of cognitive networks

This paper demonstrates theta-phase-locked fronto-parietal cortico-cortical paired associative stimulation (ccPAS) in humans, showing distinct changes in EEG activity and network connectivity compared to controls.

Not Just Noise: Aperiodic Brain Activity Reflects Corticospinal Excitability

This study investigates how aperiodic and periodic EEG features influence corticospinal excitability measured by motor evoked potentials in EEG-TMS experiments.

Plasticity of interhemispheric motor cortex connectivity induced by brain state-dependent cortico-cortical paired-associative stimulation

This study investigates how the phase of the ongoing micro-rhythm in motor cortices affects long-term changes in interhemispheric inhibition using cortico-cortical paired associative stimulation.

Fully Hyperbolic Neural Networks: A Novel Approach to Studying Aging Trajectories

This study uses hyperbolic neural networks to analyze MEG brain networks from the Cam-CAN dataset, revealing age-related hierarchical changes in brain subnetworks.

Decoding Motor Excitability in TMS using EEG-Features:An Exploratory Machine Learning Approach

This study develops a machine learning framework to predict motor excitability states using EEG features, achieving 72% mean accuracy in healthy participants.

The impact of ROI extraction method for MEG connectivity estimation: practical recommendations for the study of resting state data.

This paper evaluates ROI extraction methods for MEG connectivity analysis and recommends strategies based on sensitivity and specificity trade-offs.

Region-specific impact of aging on cortical myelination and thickness

The paper examines aging effects on cortical thickness and myelin concentration using MRI data from a large cohort, finding complex regional patterns and MTR as a more reliable myelin proxy.

Artifacts in EEG-based BCI therapies: friend or foe?

This study shows that artifacts in EEG signals are more informative than brain activity for classification, highlighting the need for careful feature design in BCI applications.

TMS-EEG signatures of glutamatergic neurotransmission in human cortex

This study uses TMS-EEG to show that anti-glutamatergic drugs affect specific TEP components, indicating distinct roles for NMDA and AMPA receptors in cortical excitability.

TMS-evoked EEG potentials from prefrontal and parietal cortex: reliability, site specificity, and effects of NMDA receptor blockade

μ-rhythm extracted with personalized EEG filters correlates with corticospinal excitability in real-time phase-triggered EEG-TMS

The paper compares two EEG filtering methods for extracting the μ-rhythm and assesses their impact on corticospinal excitability measured via TMS.