Department of Psychology, Carl von Ossietzky Universität Oldenburg;Prof. Dr. Mandy Roheger is Professor of Ambulatory Assessment in Psychology at the Department of Psychology, Carl von Ossietzky University of Oldenburg. Her research focuses on cognitive functioning across the lifespan, with particular emphasis on the assessment, diagnosis, and non-pharmacological treatment of cognitive impairments in healthy ageing and neurological disorders, including Parkinson’s disease and dementia. She develops and evaluates innovative ambulatory and home-based assessment approaches as well as digital and neuromodulatory interventions to study cognition in everyday life. Her work integrates neuropsychology, clinical neuroscience, and patient-centered research to improve the ecological validity, accessibility, and real-world implementation of cognitive assessment and intervention.

Medical Psychology | Neuropsychology & Gender Studies, Center of Neuropsychological Diagnostics and Intervention (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne;Anja Ophey is a postdoctoral researcher and psychologist at the Department of Medical Psychology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany. Her research focuses on cognitive aging, Parkinson's disease, and prodromal neurodegenerative disorders, with a particular emphasis on identifying modifiable risk and resilience factors for cognitive decline and dementia. Her work combines neuropsychological assessment, digital health technologies, neuroimaging, sleep research, and advanced statistical methods to investigate mechanisms underlying cognitive impairment and to develop scalable prevention strategies. She has led and contributed to several clinical studies evaluating multidomain lifestyle and digital cognitive interventions in individuals at increased risk of Parkinson's disease and dementia, including individuals with isolated REM sleep behavior disorder. Her research interests include subjective cognitive decline, digital biomarkers, cognitive training, lifestyle interventions, resilience, and explainable machine learning for early disease detection and monitoring.