From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages.

ABSTRACT: Embodied cognition research on Parkinson's disease (PD) points to disruptions of frontostriatal language functions as sensitive targets for clinical assessment. However, no existing approach has been tested for crosslinguistic validity, let alone by combining naturalistic tasks with machine-learning tools. To address these issues, we conducted the first classifier-based examination of morphological processing (a core frontostriatal function) in spontaneous monologues from PD patients across three typologically different languages. The study comprised 330 participants, encompassing speakers of Spanish (61 patients, 57 matched controls), German (88 patients, 88 matched controls), and Czech (20 patients, 16 matched controls). All subjects described the activities they perform during a regular

SUBMITTER: Eyigoz E 

PROVIDER: S-EPMC7655620 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature