Home > Research > Publications & Outputs > Can you detect early dementia from an email?

Electronic data

Links

Text available via DOI:

View graph of relations

Can you detect early dementia from an email?: A proof of principle study of daily computer use to detect cognitive and functional decline

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline. / Stringer, G.; Couth, S.; Brown, L.j.e. et al.
In: International Journal of Geriatric Psychiatry, Vol. 33, No. 7, 07.2018, p. 867-874.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Stringer, G, Couth, S, Brown, LJE, Montaldi, D, Gledson, A, Mellor, J, Sutcliffe, A, Sawyer, P, Keane, J, Bull, C, Zeng, X, Rayson, P & Leroi, I 2018, 'Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline', International Journal of Geriatric Psychiatry, vol. 33, no. 7, pp. 867-874. https://doi.org/10.1002/gps.4863

APA

Stringer, G., Couth, S., Brown, L. J. E., Montaldi, D., Gledson, A., Mellor, J., Sutcliffe, A., Sawyer, P., Keane, J., Bull, C., Zeng, X., Rayson, P., & Leroi, I. (2018). Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline. International Journal of Geriatric Psychiatry, 33(7), 867-874. https://doi.org/10.1002/gps.4863

Vancouver

Stringer G, Couth S, Brown LJE, Montaldi D, Gledson A, Mellor J et al. Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline. International Journal of Geriatric Psychiatry. 2018 Jul;33(7):867-874. Epub 2018 Feb 9. doi: 10.1002/gps.4863

Author

Stringer, G. ; Couth, S. ; Brown, L.j.e. et al. / Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline. In: International Journal of Geriatric Psychiatry. 2018 ; Vol. 33, No. 7. pp. 867-874.

Bibtex

@article{7f3668e3956742ad8b6d87efe7b0be86,
title = "Can you detect early dementia from an email?: A proof of principle study of daily computer use to detect cognitive and functional decline",
abstract = "ObjectiveTo determine whether multiple computer use behaviours can distinguish between cognitively healthy older adults and those in the early stages of cognitive decline, and to investigate whether these behaviours are associated with cognitive and functional ability.MethodsOlder adults with cognitive impairment (n = 20) and healthy controls (n = 24) completed assessments of cognitive and functional abilities and a series of semi-directed computer tasks. Computer use behaviours were captured passively using bespoke software.ResultsThe profile of computer use behaviours was significantly different in cognitively impaired compared with cognitively healthy control participants including more frequent pauses, slower typing, and a higher proportion of mouse clicks. These behaviours were significantly associated with performance on cognitive and functional assessments, in particular, those related to memory.ConclusionUnobtrusively capturing computer use behaviours offers the potential for early detection of neurodegeneration in non-clinical settings, which could enable timely interventions to ultimately improve long-term outcomes.",
keywords = "Alzheimer's disease, cognitive decline, computer use, dementia, functional ability, mild cognitive impairment",
author = "G. Stringer and S. Couth and L.j.e. Brown and D. Montaldi and A. Gledson and J. Mellor and A. Sutcliffe and P. Sawyer and J. Keane and C. Bull and X. Zeng and P. Rayson and I. Leroi",
year = "2018",
month = jul,
doi = "10.1002/gps.4863",
language = "English",
volume = "33",
pages = "867--874",
journal = "International Journal of Geriatric Psychiatry",
issn = "0885-6230",
publisher = "John Wiley and Sons Ltd",
number = "7",

}

RIS

TY - JOUR

T1 - Can you detect early dementia from an email?

T2 - A proof of principle study of daily computer use to detect cognitive and functional decline

AU - Stringer, G.

AU - Couth, S.

AU - Brown, L.j.e.

AU - Montaldi, D.

AU - Gledson, A.

AU - Mellor, J.

AU - Sutcliffe, A.

AU - Sawyer, P.

AU - Keane, J.

AU - Bull, C.

AU - Zeng, X.

AU - Rayson, P.

AU - Leroi, I.

PY - 2018/7

Y1 - 2018/7

N2 - ObjectiveTo determine whether multiple computer use behaviours can distinguish between cognitively healthy older adults and those in the early stages of cognitive decline, and to investigate whether these behaviours are associated with cognitive and functional ability.MethodsOlder adults with cognitive impairment (n = 20) and healthy controls (n = 24) completed assessments of cognitive and functional abilities and a series of semi-directed computer tasks. Computer use behaviours were captured passively using bespoke software.ResultsThe profile of computer use behaviours was significantly different in cognitively impaired compared with cognitively healthy control participants including more frequent pauses, slower typing, and a higher proportion of mouse clicks. These behaviours were significantly associated with performance on cognitive and functional assessments, in particular, those related to memory.ConclusionUnobtrusively capturing computer use behaviours offers the potential for early detection of neurodegeneration in non-clinical settings, which could enable timely interventions to ultimately improve long-term outcomes.

AB - ObjectiveTo determine whether multiple computer use behaviours can distinguish between cognitively healthy older adults and those in the early stages of cognitive decline, and to investigate whether these behaviours are associated with cognitive and functional ability.MethodsOlder adults with cognitive impairment (n = 20) and healthy controls (n = 24) completed assessments of cognitive and functional abilities and a series of semi-directed computer tasks. Computer use behaviours were captured passively using bespoke software.ResultsThe profile of computer use behaviours was significantly different in cognitively impaired compared with cognitively healthy control participants including more frequent pauses, slower typing, and a higher proportion of mouse clicks. These behaviours were significantly associated with performance on cognitive and functional assessments, in particular, those related to memory.ConclusionUnobtrusively capturing computer use behaviours offers the potential for early detection of neurodegeneration in non-clinical settings, which could enable timely interventions to ultimately improve long-term outcomes.

KW - Alzheimer's disease

KW - cognitive decline

KW - computer use

KW - dementia

KW - functional ability

KW - mild cognitive impairment

U2 - 10.1002/gps.4863

DO - 10.1002/gps.4863

M3 - Journal article

VL - 33

SP - 867

EP - 874

JO - International Journal of Geriatric Psychiatry

JF - International Journal of Geriatric Psychiatry

SN - 0885-6230

IS - 7

ER -