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EARLY DETECTION OF MILD COGNITIVE IMPAIRMENT (MCI) IN AN AT-HOME SETTING

Authors :
P. M. Doraiswamy
S. Chao
Bruno Vellas
Bruno Dubois
Anton P. Porsteinsson
J. Ingram
Harald Hampel
Andrea Vergallo
Katherine L. Possin
Marwan N. Sabbagh
Soo Borson
Atsushi Iwata
Mercè Boada
Gil D. Rabinovici
Source :
The Journal of Prevention of Alzheimer's Disease. :1-8
Publication Year :
2020
Publisher :
SERDI, 2020.

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’s 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, self-assessed cognitive evaluation that would represent an initial cognitive screen may be feasible in the future.

Details

ISSN :
22745807
Database :
OpenAIRE
Journal :
The Journal of Prevention of Alzheimer's Disease
Accession number :
edsair.doi.dedup.....44319a145f3c3dbb28fa38e80feb7eb6
Full Text :
https://doi.org/10.14283/jpad.2020.22