Giorgio Arcara

This study evaluates ten excitability metrics from MEG data to show cortical excitability is multidimensional with distinct spatial and functional patterns.

This study challenges the assumption that right-hemisphere damage causes pragmatic deficits after stroke, showing comparable impairment profiles across lesion sides in most tasks.

This study shows that combining 40-Hz tACS with auditory stimulation increases gamma activity more than either method alone, suggesting potential clinical benefits for conditions with disrupted gamma oscillations.

This paper provides an introduction to convolutional neural networks for neuroscientists with limited mathematical background, using analogies and Python code examples.

This study shows that education moderates the relationship between age-related changes in EEG aperiodic components and cognitive performance, with different patterns observed in individuals with varying education levels.

This study shows that the head model significantly affects the accuracy of subject identification and differentiation in MEG-derived functional connectivity fingerprinting.

This study examines how neuroplastic changes in somatosensory evoked fields correlate with embodiment during the rubber hand illusion, identifying distinct functional contributions of different cortical areas.

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

The paper examines how education modulates the relationship between the aperiodic component of EEG power spectrum and cognitive performance in aging.

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 paper validates MEG source imaging by comparing it to an intracranial EEG atlas, finding that MEG accurately estimates oscillatory patterns in lateral regions but underestimates deep regions.

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.

This study examines electrophysiological correlates of language prediction in adults who stutter compared to typically fluent adults, finding atypical patterns in predictive processing.

The paper shows that alpha and beta desynchronizations occur during prediction in both language comprehension and production tasks, indicating shared neural mechanisms.