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dc.contributor.authorDenniss, Jonathan*
dc.contributor.authorScholes, C.*
dc.contributor.authorMcGraw, P.V.*
dc.contributor.authorNam, S-H.*
dc.contributor.authorRoach, N.W.*
dc.date.accessioned2018-12-04T12:52:55Z
dc.date.available2018-12-04T12:52:55Z
dc.date.issued2018-11
dc.identifier.citationDenniss J, Scholes C, McGraw PV et al (2018) Estimation of contrast sensitivity from fixational eye movements. Investigative Ophthalmology & Visual Science. 59(13): 5408-5416.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16686
dc.descriptionYesen_US
dc.description.abstractPurpose: Even during steady fixation, people make small eye movements such as microsaccades, whose rate is altered by presentation of salient stimuli. Our goal was to develop a practical method for objectively and robustly estimating contrast sensitivity from microsaccade rates in a diverse population. Methods: Participants, recruited to cover a range of contrast sensitivities, were visually normal (n = 19), amblyopic (n = 10), or had cataract (n = 9). Monocular contrast sensitivity was estimated behaviorally while binocular eye movements were recorded during interleaved passive trials. A probabilistic inference approach was used to establish the likelihood of observed microsaccade rates given the presence or absence of a salient stimulus. Contrast sensitivity was estimated from a function fitted to the scaled log-likelihood ratio of the observed microsaccades in the presence or absence of a salient stimulus across a range of contrasts. Results: Microsaccade rate signature shapes were heterogeneous; nevertheless, estimates of contrast sensitivity could be obtained in all participants. Microsaccade-estimated contrast sensitivity was unbiased compared to behavioral estimates (1.2% mean), with which they were strongly correlated (Spearman's ρ 0.74, P < 0.001, median absolute difference 7.6%). Measurement precision of microsaccade-based contrast sensitivity estimates was worse than that of behavioral estimates, requiring more than 20 times as many presentations to equate precision. Conclusions: Microsaccade rate signatures are heterogeneous in shape when measured across populations with a broad range of contrast sensitivities. Contrast sensitivity can be robustly estimated from rate signatures by probabilistic inference, but more stimulus presentations are currently required to achieve similarly precise estimates to behavioral techniques.en_US
dc.description.sponsorshipSupported by a Confidence in Concept grant from the Medical Research Council, a Fight for Sight Project Grant (5059/5060) and a Wellcome Trust Research Fellowship to NWR (WT097387).en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1167/ iovs.18-24674en_US
dc.rightsCopyright 2018 The Authors. This work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.subjectMicrosaccadesen_US
dc.subjectFixational eye movementsen_US
dc.subjectContrast sensitivityen_US
dc.subjectObjectiveen_US
dc.titleEstimation of contrast sensitivity from fixational eye movementsen_US
dc.status.refereedYesen_US
dc.date.Accepted2018-10-01
dc.date.application2018-11
dc.typeArticleen_US
dc.type.versionpublished version paperen_US
refterms.dateFOA2018-12-04T12:52:55Z


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