Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories

García AM, Escobar-Grisales D, Vásquez Correa JC, Bocanegra Y, Moreno L, Carmona J, Orozco Arroyave JR (2022)

Publication Type: Journal article

Publication year: 2022

Journal

npj Parkinson’s Disease Nature Publishing Group

Book Volume: 8

Article Number: 163

Journal Issue: 1

DOI: 10.1038/s41531-022-00422-8

Abstract

Action-concept outcomes are useful targets to identify Parkinson’s disease (PD) patients and differentiate between those with and without mild cognitive impairment (PD-MCI, PD-nMCI). Yet, most approaches employ burdensome examiner-dependent tasks, limiting their utility. We introduce a framework capturing action-concept markers automatically in natural speech. Patients from both subgroups and controls retold an action-laden and a non-action-laden text (AT, nAT). In each retelling, we weighed action and non-action concepts through our automated Proximity-to-Reference-Semantic-Field (P-RSF) metric, for analysis via ANCOVAs (controlling for cognitive dysfunction) and support vector machines. Patients were differentiated from controls based on AT (but not nAT) P-RSF scores. The same occurred in PD-nMCI patients. Conversely, PD-MCI patients exhibited reduced P-RSF scores for both texts. Direct discrimination between patient subgroups was not systematic, but it yielded best outcomes via AT scores. Our approach outperformed classifiers based on corpus-derived embeddings. This framework opens scalable avenues to support PD diagnosis and phenotyping.

Authors with CRIS profile

Juan Rafael Orozco Arroyave Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO) Hospital Pablo Tobon Uribe CO Colombia (CO) Associación VicomTech IK4 ES Spain (ES) University of California San Francisco (UCSF) US United States (USA) (US)

How to cite

APA:

García, A.M., Escobar-Grisales, D., Vásquez Correa, J.C., Bocanegra, Y., Moreno, L., Carmona, J., & Orozco Arroyave, J.R. (2022). Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories. npj Parkinson’s Disease, 8(1). https://dx.doi.org/10.1038/s41531-022-00422-8

MLA:

García, Adolfo M., et al. "Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories." npj Parkinson’s Disease 8.1 (2022).

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