{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T06:43:01Z","timestamp":1792219381249,"version":"4.4.0"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100002243","name":"National Ataxia Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100002243","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000346","name":"Ataxia UK","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000346","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disord Clin Pract"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Remote assessment of ataxia is increasingly important for patient\u2010centered care and clinical research. SARA\n                      <jats:sup>home<\/jats:sup>\n                      , a validated video\u2010based adaptation of the Scale for the Assessment and Rating of Ataxia (SARA), enables self\u2010administration of key motor tasks at home.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      The aim was to evaluate the correlation of pose\u2010derived gait and stance endpoints from SARA\n                      <jats:sup>home<\/jats:sup>\n                      videos with clinician\u2010rated severity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      In a multisite observational study, participants recorded SARA\n                      <jats:sup>home<\/jats:sup>\n                      tasks on consumer mobile devices via the Atom5\n                      <jats:sup>TM<\/jats:sup>\n                      app. Clinicians rated videos using standardized criteria, blinded to automated outputs. Kinematic measures were extracted via pose estimation and aggregated to video\u2010level features. Videos were aggregated per participant before correlation using Spearman's\n                      <jats:italic>\u03c1<\/jats:italic>\n                      and Kendall's\n                      <jats:italic>\u03c4<\/jats:italic>\n                      , with 95% cluster\u2010bootstrap confidence intervals.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We analyzed 5418 gait and stance videos from 58 participants across 4 sites (gait n\u2009=\u20092205, stance n\u2009=\u20093213). Score distribution was skewed toward lower severity. For gait, clearance variability (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.52 [0.37\u20130.64]) and median\u2010normalized base of support (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.51 [0.35\u20130.66]) correlated most strongly with item ratings, followed by shoulder sway root mean square (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.43 [0.24\u20130.60]). Adjusted foot clearance (worse limb) correlated negatively (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u2009\u22120.35 [\u22120.52 to \u22120.15]). For stance, anteroposterior sway (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.51 [0.36\u20130.65]), leg alignment variability (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.51 [0.36\u20130.65]), and composite sway (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.48 [0.32\u20130.62]) were most associated with severity. Base of support widened monotonically with severity and was the most reliable gait feature (intraclass correlation coefficient [ICC]\u2009=\u20090.88).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Pose\u2010derived digital endpoints from home\u2010captured SARA\n                      <jats:sup>home<\/jats:sup>\n                      videos show robust, clinically interpretable correlation with severity, supporting scalable remote phenotyping. Findings motivate longitudinal validation toward clinical and regulatory utility.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mdc3.70854","type":"journal-article","created":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T06:16:46Z","timestamp":1792217806000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Remote Video Assessment of Ataxia via\n                    <scp>\n                      SARA\n                      <sup>home<\/sup>\n                    <\/scp>\n                    : Correlation of Pose\u2010Derived Endpoints with Clinician Severity Ratings"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3461-2622","authenticated-orcid":false,"given":"Rabia","family":"Aziza","sequence":"first","affiliation":[{"name":"Aparito\u2014a wholly owned subsidiary of Eli Lilly and Company  Wrexham United 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 Bonn Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2280-7273","authenticated-orcid":false,"given":"Matthis","family":"Synofzik","sequence":"additional","affiliation":[{"name":"Center for Neurology and Hertie Institute for Clinical Brain Research University of T\u00fcbingen  T\u00fcbingen Germany"},{"name":"German Center of Neurodegenerative Diseases (DZNE)  T\u00fcbingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa H.","family":"Graf","sequence":"additional","affiliation":[{"name":"Center for Neurology and Hertie Institute for Clinical Brain Research University of T\u00fcbingen  T\u00fcbingen Germany"},{"name":"German Center of Neurodegenerative Diseases (DZNE)  T\u00fcbingen 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Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4973-0923","authenticated-orcid":false,"given":"Jeannette","family":"H\u00fcbener\u2010Schmid","sequence":"additional","affiliation":[{"name":"Institute for Medical Genetics and Applied Genomics University of T\u00fcbingen  T\u00fcbingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4987-0088","authenticated-orcid":false,"given":"Elin H.","family":"Davies","sequence":"additional","affiliation":[{"name":"Aparito\u2014a wholly owned subsidiary of Eli Lilly and Company  Wrexham United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6174-5442","authenticated-orcid":false,"given":"Thomas","family":"Klockgether","sequence":"additional","affiliation":[{"name":"German Center for Neurodegenerative Diseases (DZNE)  Bonn Germany"},{"name":"Department of Parkinson's Disease, Sleep 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