Shortening of Saccades as a Possible Easy-to-Use Biomarker to Detect Risk of Alzheimer's Disease.

Autor:	Hannonen S; NeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland., Andberg S; School of Computing, University of Eastern Finland, Joensuu, Finland., Kärkkäinen V; NeuroCenter, Neurosurgery, Kuopio University Hospital, Kuopio, Finland., Rusanen M; NeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland.; Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland., Lehtola JM; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland., Saari T; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland.; School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland., Korhonen V; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland., Hokkanen L; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland., Hallikainen M; NeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland., Hänninen T; NeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland., Leinonen V; NeuroCenter, Neurosurgery, Kuopio University Hospital, Kuopio, Finland.; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland., Kaarniranta K; Department of Ophthalmology, Institute of Clinical Medicine, School of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland., Bednarik R; School of Computing, University of Eastern Finland, Joensuu, Finland., Koivisto AM; NeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.; Department of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland.; Departments of Geriatrics and Neurology, Helsinki University Hospital and Department of Neurosciences, University of Helsinki, Helsinki, Finland.
Jazyk:	angličtina
Zdroj:	Journal of Alzheimer's disease : JAD [J Alzheimers Dis] 2022; Vol. 88 (2), pp. 609-618.
DOI:	10.3233/JAD-215551
Abstrakt:	Background: Wide-ranging functional defects in eye movements have been reported in Alzheimer's disease (AD) dementia. The detection of abnormal eye movements and reading problems may identify persons at risk of AD when clear clinical symptoms are lacking. Objective: To examine whether computer-based eye-tracking (ET) analysis of King-Devick (KD) test results differentiates cognitively healthy persons from persons with minor problems in cognitive testing or diagnosed mild AD. Methods: We recruited 78 participants (57 non-demented, 21 with mild AD) who underwent neurological examination, the Consortium to Establish a Registry for Alzheimer's Disease neuropsychological test battery (CERAD-NB), and a Clinical Dementia Rating (CDR) interview. The non-demented participants were further divided into control (normal CERAD subtests, mean MMSE = 28) and objective mild cognitive impairment (MCI; decline in at least one CERAD memory score, mean MMSE = 27) groups. The KD reading test was performed using computer-based ET. The total time used for the reading test, errors made, fixation and saccade durations, and saccade amplitudes were analyzed. Results: We found significant differences between the control, objective MCI, and AD groups in regard to the mean saccade amplitude (3.58, 3.33, and 3.21 ms, respectively, p < 0.03) and duration (27.1, 25.3, and 24.8 ms, respectively, p < 0.05). The KD error scores in the AD group differed significantly (p < 0.01) from the other groups. Conclusion: Computed ET analysis of the KD test may help detect persons with objective MCI early when clear clinical symptoms are lacking. The portable device for ET is easy to use in primary health care memory clinics.
Databáze:	MEDLINE
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