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M.N. Sabbagh, M. Boada, S. Borson, P.M. Doraiswamy, B. Dubois, J. Ingram, A. Iwata, A.P. Porsteinsson, K.L. Possin, G.D. Rabinovici, B. Vellas, S. Chao, A. Vergallo, H. Hampel

J Prev Alz Dis 2020;3(7):171-178

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.

M.N. Sabbagh ; M. Boada ; S. Borson ; P.M. Doraiswamy ; B. Dubois ; J. Ingram ; A. Iwata ; A.P. Porsteinsson ; K.L. Possin ; G.D. Rabinovici ; B. Vellas ; S. Chao ; A. Vergallo ; H. Hampel (2020): Early Detection of Mild Cognitive Impairment (MCI) in an At-Home Setting. The Journal of Prevention of Alzheimer’s Disease (JPAD).


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