Olessia Jouravlev

This study uses fMRI to examine how polyglots and hyperpolyglots process their languages, finding that response magnitude scales with linguistic computation engagement.

This study investigates whether the language system, including Broca's area, supports music perception through fMRI and aphasia patient analyses, finding no engagement of language regions in music processing.

The paper introduces a probabilistic atlas for the language network using fMRI data from 806 individuals to bridge gaps between group-level and individual-level language research.

The paper investigates how language and Theory of Mind networks track linguistic and mental state content in naturalistic stimuli using fMRI.

The paper investigates the fronto-temporo-parietal language network across 45 languages, finding its topography and functional properties are robust to cross-linguistic variation.

The paper assesses reduced language lateralization in autism and the broader autism phenotype using individual-subject analyses and finds it is a robust and spatially selective neural marker.

This study compares language network efficiency between polyglots and controls using fMRI, finding polyglots use fewer neural resources for language processing.