Your browser doesn't support javascript.
loading
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; Montaldi, D; Gledson, A; Mellor, J; Sutcliffe, A; Sawyer, P; Keane, J; Bull, C; Zeng, X; Rayson, P; Leroi, I.
Afiliación
  • Stringer G; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
  • Couth S; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
  • Brown LJE; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
  • Montaldi D; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
  • Gledson A; School of Computer Science, The University of Manchester, Manchester, UK.
  • Mellor J; School of Computer Science, The University of Manchester, Manchester, UK.
  • Sutcliffe A; Computing and Communications, Lancaster University, Lancaster, UK.
  • Sawyer P; Computer Science, School of Engineering and Applied Science, Aston University, Birmingham, UK.
  • Keane J; School of Computer Science, The University of Manchester, Manchester, UK.
  • Bull C; Computing and Communications, Lancaster University, Lancaster, UK.
  • Zeng X; School of Computer Science, The University of Manchester, Manchester, UK.
  • Rayson P; Computing and Communications, Lancaster University, Lancaster, UK.
  • Leroi I; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Int J Geriatr Psychiatry ; 33(7): 867-874, 2018 07.
Article en En | MEDLINE | ID: mdl-29424087
ABSTRACT

OBJECTIVE:

To 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.

METHODS:

Older 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.

RESULTS:

The 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.

CONCLUSION:

Unobtrusively 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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Demencia / Correo Electrónico / Disfunción Cognitiva Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Int J Geriatr Psychiatry Asunto de la revista: GERIATRIA / PSIQUIATRIA Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Demencia / Correo Electrónico / Disfunción Cognitiva Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Int J Geriatr Psychiatry Asunto de la revista: GERIATRIA / PSIQUIATRIA Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido