Sites' ongoing projects | Multiple languages
A standardized, multilingual, Mini Linguistic State Examination (MLSE) for classifying and monitoring primary progressive aphasia
PI: Stefano F. Cappa, Eleonora Catricalà
An automated machine learning approach to language changes in Alzheimer’s disease and frontotemporal dementia across Latino and English-speaking populations
National Institute on Aging (NIA), National Institutes of Health (NIH)
PIs: Adolfo M. García, Maria Luisa Gorno-Tempini, Agustín Ibáñez
Challenges for the development of fair language-based assessments of health, education, behavior, and beyond
Constructive Advanced Thinking, European Institutes for Advanced Studies
Co-investigator: Adolfo M. García
Comparative analysis of speech characteristics in connected-speech tasks: Insights from healthy Hebrew speakers and three diverse English groups
National Institute on Aging (NIA); Department of Defense (DoD)
PI: Naomi Nevler
Connected speech production differences in primary progressive aphasia with different native languages
PIs: Massimo Filippi, Federica Agosta
Cultural adaptation and validation of Brain Health Assessment tool in Ethiopia
Global Brain Health Institute, Alzheimer’s Association, Alzheimer’s Society
PI: Yared Z. Zewde
Early changes of connectivity within the language brain network as possible mediator of post-stroke aphasia recovery
Heart and Stroke Foundation
PIs: Simona Brambati, Karine Marcotte
Multi-partner consortium to expand dementia research in Latin America (ReDLat)
NIH-NIA, the Alzheimer´s Association, the Rainwater Charitable Foundation, Global Brain Health Institute
PI: Leonel T. Takada
Neuro-cognitive toolbox to assess approach-avoidance and inhibition in mental disorders
Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
PI: Hipólito Marrero Hernández
Population-specific validation of neuropsychological tests for Chinese American individuals
Global Brain Health Institute, UCSF Population Health Data Initiative
PI: Boon Lead Tee
Training network on automatic processing of pathological speech (TAPAS)
H2020, European Union
PI: Juan Rafael Orozco Arroyave
