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      Reproducibility of flutter-range vibrotactile detection and discrimination thresholds

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          Abstract

          Somatosensory processing can be probed empirically through vibrotactile psychophysical experiments. Psychophysical approaches are valuable for investigating both normal and abnormal tactile function in healthy and clinical populations. To date, the test-retest reliability of vibrotactile detection and discrimination thresholds has yet to be established. This study sought to assess the reproducibility of vibrotactile detection and discrimination thresholds in human adults using an established vibrotactile psychophysical battery. Fifteen healthy adults underwent three repeat sessions of an eleven-task battery that measured a range of vibrotactile measures, including reaction time, detection threshold, amplitude and frequency discrimination, and temporal order judgement. Coefficients of variation and intraclass correlation coefficients (ICCs) were calculated for the measures in each task. Linear mixed-effects models were used to test for length and training effects and differences between tasks within the same domain. Reaction times were shown to be the most reproducible (ICC: ~0.9) followed by detection thresholds (ICC: ~0.7). Frequency discrimination thresholds were the least reproducible (ICC: ~0.3). As reported in prior studies, significant differences in measures between related tasks were also found, demonstrating the reproducibility of task-related effects. These findings show that vibrotactile detection and discrimination thresholds are reliable, further supporting the use of psychophysical experiments to probe tactile function.

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          Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

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            Alternatives to the Median Absolute Deviation

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              Disentangling the heterogeneity of autism spectrum disorder through genetic findings.

              Autism spectrum disorder (ASD) represents a heterogeneous group of disorders, which presents a substantial challenge to diagnosis and treatment. Over the past decade, considerable progress has been made in the identification of genetic risk factors for ASD that define specific mechanisms and pathways underlying the associated behavioural deficits. In this Review, we discuss how some of the latest advances in the genetics of ASD have facilitated parsing of the phenotypic heterogeneity of this disorder. We argue that only through such advances will we begin to define endophenotypes that can benefit from targeted, hypothesis-driven treatments. We review the latest technologies used to identify and characterize the genetics underlying ASD and then consider three themes-single-gene disorders, the gender bias in ASD, and the genetics of neurological comorbidities-that highlight ways in which we can use genetics to define the many phenotypes within the autism spectrum. We also present current clinical guidelines for genetic testing in ASD and their implications for prognosis and treatment.
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                Author and article information

                Contributors
                nicolaas.puts@kcl.ac.uk
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 April 2020
                16 April 2020
                2020
                : 10
                : 6528
                Affiliations
                [1 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, ; Baltimore, MD USA
                [2 ]ISNI 0000 0004 0427 667X, GRID grid.240023.7, F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, ; Baltimore, MD USA
                [3 ]ISNI 0000000122483208, GRID grid.10698.36, Department of Biomedical Engineering, University of North Carolina at Chapel Hill, ; Chapel Hill, NC USA
                [4 ]ISNI 0000 0004 0427 667X, GRID grid.240023.7, Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, ; Baltimore, MD USA
                [5 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Neurology, The Johns Hopkins University School of Medicine, ; Baltimore, MD USA
                [6 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, ; Baltimore, MD USA
                [7 ]ISNI 0000 0001 2322 6764, GRID grid.13097.3c, Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, ; London, UK
                Author information
                http://orcid.org/0000-0002-0349-3782
                http://orcid.org/0000-0003-1024-1927
                Article
                63208
                10.1038/s41598-020-63208-z
                7162987
                32300187
                d86dbeca-f2fa-4a67-afc4-8cdb058ef552
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 September 2019
                : 18 February 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000025, U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH);
                Award ID: R00 MH107719
                Award Recipient :
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                © The Author(s) 2020

                Uncategorized
                sensory processing,cortex
                Uncategorized
                sensory processing, cortex

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