Final published version, 215 KB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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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 -