Digital Clock and Recall: a digital, process-driven evolution of the Mini-Cog
Our findings demonstrate higher sensitivity of the DCR, an automated, process-driven, and process-based digital adaptation of the Mini-Cog. Digital metrics capture clock drawing dynamics and increase detection of diagnosed cognitive impairment in a clinical trial cohort of older individuals.
Authors
- Rod Swenson (ORCID: https://orcid.org/0000-0003-0218-3800)
- Soo Borson B (ORCID: https://orcid.org/0000-0003-2185-768X)
- David J. Libon (ORCID: https://orcid.org/0000-0001-6617-6066)
- Ali Jannati (ORCID: https://orcid.org/0000-0003-0826-1275)
- Russell Banks (ORCID: https://orcid.org/0000-0003-1675-2584)
- John Showalter (ORCID: https://orcid.org/0009-0002-6290-9589)
- Álvaro Pascual‐Leone (ORCID: https://orcid.org/0000-0001-8975-0382)
- Sean Tobyne (ORCID: https://orcid.org/0000-0001-5985-7920)
- Joyce Gomes‐Osman (ORCID: https://orcid.org/0000-0001-6510-0780)
- Claudio Toro‐Serey (ORCID: https://orcid.org/0000-0002-5273-2276)
- David W. Bates (ORCID: https://orcid.org/0000-0001-6268-1540)
- William Isaiah Morrow
- Marissa Ciesla (ORCID: https://orcid.org/0000-0002-8424-324X)
Institutions
- University of Southern California (US)
- Harvard University (US)
- University of Miami (US)
- University of Washington (US)
- University of North Dakota (US)
- Hebrew SeniorLife (US)
- Rowan University (US)
- Michigan State University (US)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2024-08-26
- DOI
- https://doi.org/10.3389/fnhum.2024.1337851
- Citations
- 8
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 2.74