Published on in Vol 5, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38130, first published .
Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools

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

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

Authors of this article:

Katherine Hackett1 Author Orcid Image ;   Tania Giovannetti1 Author Orcid Image

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

Books/Policy Documents

  1. Siddarth P, Hodes J, Small G. Reference Module in Neuroscience and Biobehavioral Psychology. View