Marcela Perrone‐Bertolotti

This study shows that neural representational geometry in ventral temporal cortex adapts gradually to task demands, supporting behavioral flexibility within sensory cortex.

This study uses intracranial EEG to show that reading sensation-related sentences activates the posterior insula earlier and more intensely than other semantic categories.

This study investigates whether action language modulates spinal motor pathways, finding no effect on high-threshold motoneurons during action reading, unlike motor imagery.

This study uses intracerebral EEG to show that motor cortex activity encodes hand movement direction during both planning and execution, with different frequency features involved in each phase.

The paper constructs a task-related functional connectome of language using fMRI data from 150 adults, identifying crucial subnetworks, flexibility, and variability in language processing.

The paper introduces a new protocol called GE2REC to interactively map language and memory networks using MRI in healthy participants, showing robust activation of relevant brain regions.

This study uses machine learning to identify spectral signatures in human brain activity that correlate with perceptual categorization of visual stimuli.

This study examines neural correlates of cognitive planning using EEG, finding increased frontal midline theta activity during planning tasks.

The paper introduces a new computerized test, BLAST, to measure attention stability and provides normative data and cortical dynamics from EEG recordings.