Neuropsychology

Our research focuses on neuropsychology and cognition, with a particular emphasis on the early detection and mechanisms of cognitive decline across neurological conditions, including Alzheimer’s disease, Parkinson’s disease, and also Long COVID. We investigate how alterations in brain networks relate to cognitive functioning across different disease stages and clinical populations.

Using multimodal approaches—such as comprehensive neuropsychological assessment, neuroimaging, and advanced data analytics—we aim to identify sensitive biomarkers of disease onset and progression. In addition, we integrate emerging technologies, including digital biomarkers, artificial intelligence, and virtual reality–based paradigms, to enhance the ecological validity and sensitivity of cognitive assessment.

A central goal of our work is the development of predictive models that combine clinical, biological, and environmental factors to improve early diagnosis and individualized risk stratification. By bridging innovative technologies with clinical application, we aim to advance personalized and translational neurology.