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      The Effect of Speed of Processing Training on Microsaccade Amplitude

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          Abstract

          Older adults experience cognitive deficits that can lead to driving errors and a loss of mobility. Fortunately, some of these deficits can be ameliorated with targeted interventions which improve the speed and accuracy of simultaneous attention to a central and a peripheral stimulus called Speed of Processing training. To date, the mechanisms behind this effective training are unknown. We hypothesized that one potential mechanism underlying this training is a change in distribution of eye movements of different amplitudes. Microsaccades are small amplitude eye movements made when fixating on a stimulus, and are thought to counteract the “visual fading” that occurs when static stimuli are presented. Due to retinal anatomy, larger microsaccadic eye movements are needed to move a peripheral stimulus between receptive fields and counteract visual fading. Alternatively, larger microsaccades may decrease performance due to neural suppression. Because larger microsaccades could aid or hinder peripheral vision, we examine the distribution of microsaccades during stimulus presentation. Our results indicate that there is no statistically significant change in the proportion of large amplitude microsaccades during a Useful Field of View-like task after training in a small sample of older adults. Speed of Processing training does not appear to result in changes in microsaccade amplitude, suggesting that the mechanism underlying Speed of Processing training is unlikely to rely on microsaccades.

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          Most cited references18

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          Using confidence intervals in within-subject designs.

          We argue that to best comprehend many data sets, plotting judiciously selected sample statistics with associated confidence intervals can usefully supplement, or even replace, standard hypothesis-testing procedures. We note that most social science statistics textbooks limit discussion of confidence intervals to their use in between-subject designs. Our central purpose in this article is to describe how to compute an analogous confidence interval that can be used in within-subject designs. This confidence interval rests on the reasoning that because between-subject variance typically plays no role in statistical analyses of within-subject designs, it can legitimately be ignored; hence, an appropriate confidence interval can be based on the standard within-subject error term-that is, on the variability due to the subject × condition interaction. Computation of such a confidence interval is simple and is embodied in Equation 2 on p. 482 of this article. This confidence interval has two useful properties. First, it is based on the same error term as is the corresponding analysis of variance, and hence leads to comparable conclusions. Second, it is related by a known factor (√2) to a confidence interval of the difference between sample means; accordingly, it can be used to infer the faith one can put in some pattern of sample means as a reflection of the underlying pattern of population means. These two properties correspond to analogous properties of the more widely used between-subject confidence interval.
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            Microsaccades are triggered by low retinal image slip.

            Even during visual fixation of a stationary target, our eyes perform rather erratic miniature movements, which represent a random walk. These "fixational" eye movements counteract perceptual fading, a consequence of fast adaptation of the retinal receptor systems to constant input. The most important contribution to fixational eye movements is produced by microsaccades; however, a specific function of microsaccades only recently has been found. Here we show that the occurrence of microsaccades is correlated with low retinal image slip approximately 200 ms before microsaccade onset. This result suggests that microsaccades are triggered dynamically, in contrast to the current view that microsaccades are randomly distributed in time characterized by their rate-of-occurrence of 1 to 2 per second. As a result of the dynamic triggering mechanism, individual microsaccade rate can be predicted by the fractal dimension of trajectories. Finally, we propose a minimal computational model for the dynamic triggering of microsaccades.
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              Changes in visual perception at the time of saccades.

              We frequently reposition our gaze by making rapid ballistic eye movements that are called saccades. Saccades pose problems for the visual system, because they generate rapid, large-field motion on the retina and change the relationship between the object position in external space and the image position on the retina. The brain must ignore the one and compensate for the other. Much progress has been made in recent years in understanding the effects of saccades on visual function and elucidating the mechanisms responsible for them. Evidence suggests that saccades trigger two distinct neural processes: (1) a suppression of visual sensitivity, specific to the magnocellular pathway, that dampens the sensation of motion and (2) a gross perceptual distortion of visual space in anticipation of the repositioning of gaze. Neurophysiological findings from several laboratories are beginning to identify the neural substrates involved in these effects.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                23 September 2014
                : 9
                : 9
                : e107808
                Affiliations
                [1 ]University of Alabama at Birmingham Department of Biology, Birmingham, Alabama, United States of America
                [2 ]University of Alabama at Birmingham Department of Psychology, Birmingham, Alabama, United States of America
                [3 ]University of Alabama at Birmingham Department of Neuroscience, Birmingham, Alabama, United States of America
                [4 ]The Pennsylvania State University, Department of Human Development and Family Studies, State College, Pennsylvania, United States of America
                [5 ]University of Alabama at Birmingham Department of Biomedical Engineering, Birmingham, Alabama, United States of America
                [6 ]University of Alabama at Birmingham Department of Neurobiology, Birmingham, Alabama, United States of America
                Barrow Neurological Institute, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: WKB KMV LAR FRA WGM. Performed the experiments: WGM SJL CRD WKB. Analyzed the data: SJL WGM KMV. Contributed reagents/materials/analysis tools: KMV LAR. Wrote the paper: SJL LAR KMV. Revised it critically for important intellectual content: KMV LAR WKB WGM CRD FRA.

                Article
                PONE-D-14-17619
                10.1371/journal.pone.0107808
                4172603
                25248099
                24519055-6402-4955-ac87-b24ceebef4df
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 April 2014
                : 30 July 2014
                Page count
                Pages: 6
                Funding
                Funding provided by Dana Foundation; https://www.dana.org/, UAB Center for Clinical And Translational Science - UL1 TR000165 - nih.gov, Vision Science Research Center - P30 EY003039 - nih.gov, Civitan International Research Center - http://www.uab.edu/medicine/circ/, McKnight Brain Research Foundation - http://tmbrf.org/ and Edward R. Roybal Center for Translational Research on Aging and Mobility - NIA 2 P30 AG022838 - nih.gov. Authors who received funding: KMV & LAR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Learning
                Human Learning
                Sensory Perception
                Vision
                Binocular Vision
                Visual Acuity
                Behavioral Neuroscience
                Learning and Memory
                People and Places
                Population Groupings
                Age Groups
                Elderly
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. The data is available on DYRAD using the DOI 10.5061/dryad.4fn70.

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                Uncategorized

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