Date
CE credits
Exam items
Series
Description
Digital technologies are transforming neuropsychology research, enabling continuous measurement of cognition, behavior, and physiology outside the clinic. This workshop will review applications of novel digital approaches, including ecological momentary assessment, mobile cognitive tasks, wearable and ambient sensors, and machine learning. Participants will learn how these tools improve ecological validity, capture within-person variability, and open new avenues for mechanistic discovery. The session will also discuss practical considerations for translating validated digital methods into neuropsychological workflows.
Learning objectives
- Describe major categories of digital methods currently used in neuropsychology research.
- Evaluate the scientific opportunities and methodological challenges of using real-world digital data to study cognition and neurological diseases.
- Identify conditions under which validated digital tools could be integrated into clinical neuropsychological workflows.
Presenter
Michelle Chen, PhD
A neuropsychologist, with a PhD in clinical psychology (with neuropsychology concentration and health emphasis) from Yeshiva University and postdoctoral training at Kessler Foundation. Her research involves utilizing digital and sensor technology in the assessment and treatment of real-world cognitive dysfunction, fatigue, and other neurological symptoms; as well as modifiable risk factors for cognitive decline among persons with multiple sclerosis and older adults at risk for dementia.


