Technology is changing at an ever-increasing rate, warranting the need to stay updated with current advancements. Today we talk with Raeanne Moore, Ph.D., about using ecological momentary assessment (EMA), mobile cognitive testing (MCT), and wearable technology to assess cognitive and emotional functioning in a real-world environment. We also discuss how these assistive technologies compare to traditional paper-and-pencil cognitive measures.
A pdf of the transcript for this episode is available here.
Topics Covered
- Moore defines terminology – active data, passive data, ecological momentary assessment (EMA), and mobile cognitive testing (MCT)
- EMA data collection and analysis
- Comparing the efficacy of EMA and traditional paper-and-pencil measures in assessing clinical symptoms and enhancing mindfulness
- The utility of EMA in culturally diverse populations and older adults with Alzheimer’s disease (AD)
- An overview of MCT tasks
- Comparison of traditional neuropsychological testing and MCT
- Natural language processing (NLP) as an indicator to identify early AD
- Various types of passive data
- Privacy concerns about collecting passive data
- EMA and intraindividual variability
- Potential benefits of using EMA data including reducing health disparities across the world
- Platforms for researchers who are interested in using EMA or MCT
- Moore forecasts the use of these assistive technologies in the future
About Raeanne
Dr. Moore’s research focuses on using innovative mobile technologies to improve assessment of daily cognitive and emotional functioning among older adults with chronic medical problems (e.g., HIV) and serious mental illness. Her current work utilizes ecological momentary assessment (EMA) and wearable technology as low cost, efficient, objective measures of everyday functioning among older persons with HIV. She is also studying the effectiveness of mobile cognitive tests (administered via smartphones) to identify the environmental, social, psychological, and behavioral influences on real-time cognitive function. Dr. Moore is involved in interdisciplinary collaborations with investigators from global public health, engineering, wireless technologies, computer science, and medicine to further develop innovative technology-based, real-time assessment techniques for research and clinical use.
Potential conflicts of interest:
-Co-founder of KeyWise AI, Inc.
-Consultant for NeuroUX
Selected References
Depp, C. A., Bashem, J., Moore, R. C., Holden, J. L., Mikhael, T., Swendsen, J., et al. (2019). GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study. NPJ Digit Med, 2, 108.
Depp, C. A., Moore, R. C., Dev, S. I., Mausbach, B. T., Eyler, L. T., & Granholm, E. L. (2016). The temporal course and clinical correlates of subjective impulsivity in bipolar disorder as revealed through ecological momentary assessment. J Affect Disord, 193, 145-150.
Depp, C. A., Moore, R. C., Perivoliotis, D., & Granholm, E. (2016). Technology to assess and support self-management in serious mental illness. Dialogues Clin Neurosci, 18(2), 171-183.
Granholm, E., Holden, J. L., Mikhael, T., Link, P. C., Swendsen, J., Depp, C., et al. (2020). What Do People With Schizophrenia Do All Day? Ecological Momentary Assessment of Real-World Functioning in Schizophrenia. Schizophr Bull, 46(2), 242-251.
Moore, R. C., Campbell, L. M., Delgadillo, J. D., Paolillo, E. W., Sundermann, E. E., Holden, J., et al. (2020). Smartphone-Based Measurement of Executive Function in Older Adults with and without HIV. Arch Clin Neuropsychol.
Moore, R. C., Depp, C. A., Wetherell, J. L., & Lenze, E. J. (2016). Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. J Psychiatr Res, 75, 116-123.
Moore, R. C., Fazeli, P. L., Patterson, T. L., Depp, C. A., Moore, D. J., Granholm, E., et al. (2015a). UPSA-M: Feasibility and initial validity of a mobile application of the UCSD Performance-Based Skills Assessment. Schizophr Res, 164(1-3), 187-192.
Moore, R. C., Fazeli, P. L., Patterson, T. L., Depp, C. A., Moore, D. J., Granholm, E., et al. (2015b). UPSA-M: Feasibility and initial validity of a mobile application of the UCSD Performance-Based Skills Assessment. Schizophr Res, 164(1-3), 187-192.
Moore, R. C., Kaufmann, C. N., Rooney, A. S., Moore, D. J., Eyler, L. T., Granholm, E., et al. (2017). Feasibility and Acceptability of Ecological Momentary Assessment of Daily Functioning Among Older Adults with HIV. Am J Geriatr Psychiatry, 25(8), 829-840.
Moore, R. C., Swendsen, J., & Depp, C. A. (2017). Applications for self-administered mobile cognitive assessments in clinical research: A systematic review. Int J Methods Psychiatr Res, 26(4).
Paolillo, E. W., Obermeit, L. C., Tang, B., Depp, C. A., Vaida, F., Moore, D. J., et al. (2018). Smartphone-based ecological momentary assessment (EMA) of alcohol and cannabis use in older adults with and without HIV infection. Addictive behaviors, 83, 102-108.
Paolillo, E. W., Tang, B., Depp, C. A., Rooney, A. S., Vaida, F., Kaufmann, C. N., et al. (2018). Temporal Associations Between Social Activity and Mood, Fatigue, and Pain in Older Adults With HIV: An Ecological Momentary Assessment Study. JMIR Ment Health, 5(2), e38.
Cognitive assessment tools are commonly used for screening impairment, differential diagnosis, determining disease severity, as well as monitoring disease progression in patients.