Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools

Journals

1. Kim Y, Shin B, Kim K. Digital Biomarkers for Alzheimer’s Disease. Journal of the Korean Neurological Association 2023;41(4):268 View
2. Stoll S, Bauer I, Hopfer K, Lamberty J, Lunz V, Guzmán Bausch F, Höflacher C, Kroliczak G, Kalénine S, Randerath J. Diagnosing homo digitalis: towards a standardized assessment for digital tool competencies. Frontiers in Psychology 2024;14 View
3. Chudzik A, Śledzianowski A, Przybyszewski A. Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 2024;24(5):1572 View
4. Harris C, Tang Y, Birnbaum E, Cherian C, Mendhe D, Chen M. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies. Archives of Clinical Neuropsychology 2024;39(3):290 View
5. Li A, Xue C, Wu R, Wu W, Zhao J, Qiang Y. Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment. International Journal of Human–Computer Interaction 2024:1 View
6. Hackett K, Xu S, McKniff M, Paglia L, Barnett I, Giovannetti T. Mobility-Based Smartphone Digital Phenotypes Unobtrusively Capture Everyday Cognition, Mood, and Community Life-Space in Older Adults: A Pilot Study (Preprint). JMIR Human Factors 2024 View

Books/Policy Documents

1. Siddarth P, Hodes J, Small G. Encyclopedia of the Human Brain. View