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

Adriana Seelye1,2, Stuart Hagler3, Nora Mattek1,2, Diane B. Howieson1, Katherine Wild1,2, Hiroko H. Dodge1,2, Jeffrey A. Kaye1,2,4
1Department of Neurology, Oregon Health & Science University, Portland, OR, USA
2Oregon Center for Aging and Technology, Oregon Health & Science University, Portland, OR, USA
3Northeastern University, Boston, MA, USA
4Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA

Tóm tắt

AbstractIntroductionSubtle changes in cognitively demanding activities occur in mild cognitive impairment (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 (P < .01) and making mouse movements that were more variable, less efficient, and with longer pauses between movements (P < .05). Mouse movement measures were significantly associated with several cognitive domains (P values <.01–.05).DiscussionRemotely monitored computer mouse movement patterns are a potential early marker of real‐world cognitive changes in MCI.

Tài liệu tham khảo

10.1016/j.jalz.2015.02.003 10.1017/S1041610207004966 Raghavan N., 2013, The ADAS‐Cog revisited: Novel composite scales based on ADAS‐Cog to improve efficiency in MCI and early AD trials, Alzheimers Dement, 9, S21 10.1001/jamaneurol.2014.4524 10.1212/WNL.0000000000001877 10.1001/archneur.59.4.601 10.1016/j.jalz.2011.03.009 10.3233/JAD-140276 10.1017/S1355617714000010 10.1016/j.nicl.2013.11.010 10.1023/B:NERV.0000009483.91468.fb Seelye A., 2015, Embedded online questionnaire measures are sensitive to identifying mild cognitive impairment, Alzheimer Dis Assoc Disord 10.2174/1567205012666150530201917 10.1037/neu0000109 10.1186/s13195-015-0099-0 10.1016/j.jalz.2013.01.011 10.1177/0898264309332836 Petersen J Austin D Yeagers J Kaye J. Unobtrusive phone monitoring as a novel measure of cognitive function in Alzheimer's Association International Conference. 2014: Amsterdam. Marshall S.C., 2013, The Candrive/Ozcandrive prospective older driver study: Methodology and early study findings, Accid Anal Prev, 61, 233, 10.1016/j.aap.2013.07.007 Dodge H., 2014, Use of intra‐individual distributions of daily acquired home‐based measures increases RCT sensitivity, PLoS One, 10 Lyons B.E., 2015, Pervasive computing technologies to continuously assess Alzheimer's disease progression and intervention efficacy, Front Aging Neurosci, 7, 102 10.3109/17483107.2010.496098 Kaye J.A., 2011, Intelligent systems for assessing aging changes: Home‐based, unobtrusive, and continuous assessment of aging, J Gerontol B Psychol Sci Soc Sci, 66, i180, 10.1093/geronb/gbq095 10.1016/0022-3956(75)90026-6 10.1212/WNL.43.11.2412-a 10.1016/0022-3956(82)90033-4 10.1093/geronj/37.3.323 10.1111/j.1532-5415.1995.tb06377.x 10.1097/JGP.0b013e31819431d5 10.1016/j.jalz.2011.03.008 Hagler S., 2013, Assessing executive function using a computer game: Computational modeling of cognitive processes, IEEE J Biomed Health Inform, 18, 1442, 10.1109/JBHI.2014.2299793 Hagler S Jimison H Pavel M. Unobtrusive In‐Home Assessment by Means of Everyday Computer Mouse Usage. IEEE Engineering in Medicine and Biology Society. 2011:1–4. Wechsler D. Wechsler Memory Scale‐revised. New York: Psychological Corporation; 1987. 10.1176/ajp.141.11.1356 Kaplan E., 1983, Boston Naming Test 10.1017/S1355617700000291 10.1207/S15324826AN0803_5 10.1037/h0093567 10.1016/0001-6918(66)90004-7 Wecshler D., 1981, Manual for the Wechsler Adult Intelligence Scale‐revised Wechsler D., 2008, Manual for the Wechsler Adult Intelligence Scale‐Fourth Edition Hagler S., 2013, Assessing executive function using a computer game: Computational modeling of cognitive processes, IEEE Journal of Biomedical and Health Informatics, 18, 1442, 10.1109/JBHI.2014.2299793 Kaye J Gregor M Asgari M Bowman M Dodge H. Social biomarkers for early signs of dementia: Increased spoken word counts among older adults with mild cognitive impairment. Presented at the 2014 Alzheimer's Association International Meeting; The Netherlands. Silbert L Lahna D Dodge H Promjunyakul N Mattek N Erten‐Lyons D et al. Less daily computer use is related to smaller hippocampal volumes in dementia‐free elderly. Presented at the 2015 Alzheimer's Association International Conference; Washington DC. 10.1007/s11065-015-9283-z