Andrea Bruera

The paper identifies phase-specific neural predictors of post-stroke aphasia recovery using task-related activity and connectivity, highlighting multiple-demand and inferior frontal regions as potential targets.

This study shows older adults compensate for age-related attentional filtering deficits by relying more on linguistic information during speech comprehension in multitalker situations.

This paper uses language models to analyze TMS effects on semantic processing at the word level, finding stimulation impacts vary with word meaning and other linguistic features.

This study shows that neural tracking of attended speech features predicts comprehension, while ignored stream tracking correlates with performance in multitalker environments.

This study uses TMS to investigate the roles of left IFG and pre-SMA in semantic and executive control, finding shared and distinct contributions to cognitive tasks.

The paper uses language models to encode semantic representations of personally familiar and famous entities, showing that brain processing can be captured through subject-specific lexical data.