Evidence map›Paper›PMID 26878035›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2015

Computer mouse movement patterns: A potential marker of mild cognitive impairment.

Adriana Seelye, Stuart Hagler, Nora Mattek, Diane B Howieson, Katherine Wild, Hiroko H Dodge, Jeffrey A Kaye

Registry-linked trialAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02566239 (Ambient Independence Measures for Guiding Care Transitions), which is not on this map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02566239 nacompletednot on this map

Ambient Independence Measures for Guiding Care Transitions

TypeinterventionalSponsorOregon Health and Science UniversityRan2014 to 2019Enrolled96ConditionsAgingArmsShare activity data with care team
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Using Item Response Times in Online Questionnaires to Detect Mild Cognitive Impairment.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Digital Phenotyping in Clinical Neurology.Seminars in neurology · 2022
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Adriana SeelyeOregon Health & Science University, Department of Neurology, Portland, Oregon; Oregon Health & Science University, Oregon Center for Aging and Technology, Portland, Oregon.
Stuart HaglerNortheastern University, Boston, Massachusetts.
Nora MattekOregon Health & Science University, Department of Neurology, Portland, Oregon; Oregon Health & Science University, Oregon Center for Aging and Technology, Portland, Oregon.
Diane B HowiesonOregon Health & Science University, Department of Neurology, Portland, Oregon.
Katherine WildOregon Health & Science University, Department of Neurology, Portland, Oregon; Oregon Health & Science University, Oregon Center for Aging and Technology, Portland, Oregon.
Hiroko H DodgeOregon Health & Science University, Department of Neurology, Portland, Oregon; Oregon Health & Science University, Oregon Center for Aging and Technology, Portland, Oregon.
Jeffrey A KayeOregon Health & Science University, Department of Neurology, Portland, Oregon; Oregon Health & Science University, Oregon Center for Aging and Technology, Portland, Oregon; Oregon Health & Science University, Department of Biomedical Engineering, Portland, Oregon.

Funding

Outreach, Recruitment and Education CoreP30AG008017 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 1990 to 2019
$27.7M
Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Intelligent Systems for Detection of Aging ChangesR01AG024059 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2006 to 2010
$6.7M
Ambient Independence Measures for Guiding Care TransitionsR01AG042191 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2013 to 2017
$2.7M
Neuroscience of AgingT32AG023477 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI URBANSKI, HENRYK F · 2005 to 2015
$2.4M
NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG024978NIA NIH HHS R01 AG024059NIA NIH HHS R01 AG042191NIA NIH HHS T32 AG023477
6 · The paper itself

Abstract

introductionSubtle changes in cognitively demanding activities occur in MCI but are difficult to assess with conventional methods. In an exploratory study, we examined whether patterns of computer mouse movements obtained from routine home computer use discriminated between older adults with and without MCI.

methodsParticipants were 42 cognitively intact and 20 older adults with MCI enrolled in a longitudinal study of in-home monitoring technologies. Mouse pointer movement variables were computed during one week of routine home computer use using algorithms that identified and characterized mouse movements within each computer use session.

resultsMCI was associated with making significantly fewer total mouse moves ( DISCUSSION: Remotely monitored computer mouse movement patterns are a potential early marker of real-world cognitive changes in MCI.

Indexed as

agingcognitive assessmentcomputer useearly detection of cognitive declineecological validityeveryday functioningfunctional assessmentinstrumental activities of daily living (IADLs)mild cognitive impairmentremote monitoringtechnology

Identifiers

PMID26878035
PMCPMC4748737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.