Early Detection of Mild Cognitive Impairment (MCI) in an At-Home Setting
Document Type
Article
Abstract
Emerging digital tools have the potential to enable a new generation of qualitative and quantitative assessment of cognitive performance. Moreover, the ubiquity of consumer electronics, such as smartphones and tablets, can be harnessed to support large-scale self-assessed cognitive screening with benefit to healthcare systems and consumers. A wide variety of apps, wearables, and new digital technologies are either available or in development for the detection of mild cognitive impairment (MCI), a risk factor for dementia. Two categories of novel methodologies may be considered: passive technologies (which monitor a user’ behavior without active user input) and interactive assessments (which require active user input). Such examinations can be self-administered, supervised by a caregiver, or conducted by an informant at home or outside of a clinical setting. These direct-to-consumer tools have the potential to sidestep barriers associated with cognitive evaluation in primary care, thus improving access to cognitive assessments. Although direct-to-consumer cognitive assessment is associated with its own barriers, including test validation, user experience, and technological concerns, it is conceivable that these issues can be addressed so that a large-scale, selfassessed cognitive evaluation that would represent an initial cognitive screen may be feasible in the future.
Publication Date
3-1-2020
Publication Title
Journal of Prevention of Alzheimer's Disease
ISSN
22745807
E-ISSN
24260266
Volume
7
Issue
3
First Page
171
Last Page
178
PubMed ID
32463070
Digital Object Identifier (DOI)
10.14283/jpad.2020.22
Recommended Citation
Sabbagh, Marwan N.; Boada, M.; Borson, S.; Doraiswamy, P. M.; Dubois, B.; Ingram, J.; Iwata, A.; Porsteinsson, A. P.; Possin, K. L.; Rabinovici, G. D.; Vellas, B.; Chao, S.; Vergallo, A.; and Hampel, H., "Early Detection of Mild Cognitive Impairment (MCI) in an At-Home Setting" (2020). Neurology. 856.
https://scholar.barrowneuro.org/neurology/856