One concept, multiple labels? Uncovering the interplay between conceptual knowledge and lexico-semantic processing
Faculty of Psychology of UNIGE, NCCR Evolving Language (Swiss National Science Foundation)
PI: Valentina Borghesani
Effects of bilingualism on age at onset in two clinical Alzheimer’s disease variants
Introduction The effect of bilingualism on age at onset has yet to be examined within different clinical variants of Alzheimer’s disease. Methods We reviewed the research charts of 287 well-characterized participants with either amnestic Alzheimer’s dementia or logopenic variant primary progressive aphasia (lvPPA) and identified bilingual speakers based on regular use of two or more […]
Alzheimer’s Association grant recipient creates new testing for Tagalog speakers
The Alzheimer’s Association® awards grants to researchers who are working on projects that will help advance treatment, improve care and further our knowledge about Alzheimer’s and other dementias. We are lucky to have so many leading researchers located within our chapter boundaries. One such grant recipient, Dr. Jessica De Leon, is working to create cognitive testing to […]
From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages
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) […]
Cognitive determinants of dysarthria in Parkinson’s disease: An automated machine learning approach
García, A. M., Arias-Vergara, T., Vásquez Correa, J. C., Nöth, E., Schuster, M., Welch, A., Bocanegra, Y., Baena, A. & Orozco-Arroyave, J. R. (2021). Cognitive determinants of dysarthria in Parkinson’s disease: An automated machine learning approach. Movement Disorders. Background: Dysarthric symptoms in Parkinson’s disease (PD) vary greatly across cohorts. Abundant research suggests that such heterogeneity could […]
Language in behavioral variant frontotemporal dementia: Another stone to be turned in Latin America
Geraudie, A., Díaz Rivera, M., Montembeault, M. & García, A. M. (2021). Language in behavioral variant frontotemporal dementia: Another stone to be turned in Latin America. Frontiers in Neurology 12, 702770. Beyond canonical deficits in social cognition and interpersonal conduct, behavioral variant frontotemporal dementia (bvFTD) involves language difficulties in a substantial proportion of cases. However, since most evidence comes […]
Automated text-level semantic markers of Alzheimer’s disease
Sanz, C., Carrillo, F., Slachevsky, A., Forno, G., Gorno Tempini, M. L., Villagra, R., Ibáñez, A., Tagliazucchi, E. & García, A. M. (2022). Automated text-level semantic markers of Alzheimer’s disease. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring 14(1), e12276. Introduction Automated speech analysis has emerged as a scalable, cost-effective tool to identify persons with Alzheimer’s disease dementia (ADD). […]
Language in behavioral variant frontotemporal dementia, for VJNeurology
Interviews on the use of linguistic deficits in the diagnosis of behavioral variant frontotemporal dementia (bvFTD), for VJNeurology, the Video Journal of Neurology.