Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33856, first published .
Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study

Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study

Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study

Journals

  1. Kas M, Jongs N, Mennes M, Penninx B, Arango C, van der Wee N, Winter-van Rossum I, Ayuso-Mateos J, Bilderbeck A, l'Hostis P, Beckmann C, Dawson G, Sommer B, Marston H. Digital behavioural signatures reveal trans-diagnostic clusters of Schizophrenia and Alzheimer's disease patients. European Neuropsychopharmacology 2024;78:3 View
  2. Čepukaitytė G, Newton C, Chan D. Early detection of diseases causing dementia using digital navigation and gait measures: A systematic review of evidence. Alzheimer's & Dementia 2024;20(4):3054 View
  3. Benge J, Scullin M. A meta-analysis of technology use and cognitive aging. Nature Human Behaviour 2025 View
  4. Leaning I, Costanzo A, Jagesar R, Reus L, Visser P, Kas M, Beckmann C, Ruhé H, Marquand A. Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study. Journal of Medical Internet Research 2025;27:e64007 View

Books/Policy Documents

  1. Čepukaitytė G, Chan D. Early Detection in Alzheimer' s Disease. View