{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T21:30:25Z","timestamp":1782509425500,"version":"3.54.5"},"reference-count":59,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T00:00:00Z","timestamp":1651104000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia, Portugal","doi-asserted-by":"publisher","award":["PTDC\/SAU-ENB\/112306\/2009"],"award-info":[{"award-number":["PTDC\/SAU-ENB\/112306\/2009"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia, Portugal","doi-asserted-by":"publisher","award":["Programa Ci\u00eancia 2008"],"award-info":[{"award-number":["Programa Ci\u00eancia 2008"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia, Portugal","doi-asserted-by":"publisher","award":["strategic project\/structural funds COMPETE, POCI-01-0145-FEDER-007440, UIDP\/4950\/2020"],"award-info":[{"award-number":["strategic project\/structural funds COMPETE, POCI-01-0145-FEDER-007440, UIDP\/4950\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia, Portugal","doi-asserted-by":"publisher","award":["UIDP\/50009\/2020"],"award-info":[{"award-number":["UIDP\/50009\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JPM"],"abstract":"<jats:p>The purpose of this study was to classify Huntington\u2019s disease (HD) stage using support vector machines and measures derived from T1- and diffusion-weighted imaging. The effects of feature selection approach and combination of imaging modalities are assessed. Fourteen premanifest-HD individuals (Pre-HD; on average &gt; 20 years from estimated disease onset), eleven early-manifest HD (Early-HD) patients, and eighteen healthy controls (HC) participated in the study. We compared three feature selection approaches: (i) whole-brain segmented grey matter (GM; voxel-based measure) or fractional anisotropy (FA) values; (ii) GM or FA values from subcortical regions-of-interest (caudate, putamen, pallidum); and (iii) automated selection of GM or FA values with the algorithm Relief-F. We assessed single- and multi-kernel approaches to classify combined GM and FA measures. Significant classifications were achieved between Early-HD and Pre-HD or HC individuals (accuracy: generally, 85% to 95%), and between Pre-HD and controls for the feature FA of the caudate ROI (74% accuracy). The combination of GM and FA measures did not result in higher performances. We demonstrate evidence on the high sensitivity of FA for the classification of the earliest Pre-HD stages, and successful distinction between HD stages.<\/jats:p>","DOI":"10.3390\/jpm12050704","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T22:20:06Z","timestamp":1651184406000},"page":"704","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Classification of Huntington\u2019s Disease Stage with Features Derived from Structural and Diffusion-Weighted Imaging"],"prefix":"10.3390","volume":"12","author":[{"given":"Rui","family":"Lavrador","sequence":"first","affiliation":[{"name":"CNC.IBILI\u2014Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6075-6887","authenticated-orcid":false,"given":"Filipa","family":"J\u00falio","sequence":"additional","affiliation":[{"name":"CIBIT\u2014Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, 3000-548 Coimbra, Portugal"},{"name":"Faculty of Psychology and Education Sciences, University of Coimbra, 3000-115 Coimbra, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5402-3978","authenticated-orcid":false,"given":"Cristina","family":"Janu\u00e1rio","sequence":"additional","affiliation":[{"name":"CIBIT\u2014Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, 3000-548 Coimbra, Portugal"},{"name":"CHUC\u2014Centro Hospitalar e Universit\u00e1rio de Coimbra, 3000-075 Coimbra, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel","family":"Castelo-Branco","sequence":"additional","affiliation":[{"name":"CNC.IBILI\u2014Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal"},{"name":"CIBIT\u2014Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, 3000-548 Coimbra, Portugal"},{"name":"ICNAS\u2014Institute of Nuclear Sciences Applied to Health, University of Coimbra, 3000-548 Coimbra, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6878-6079","authenticated-orcid":false,"given":"Gina","family":"Caetano","sequence":"additional","affiliation":[{"name":"CNC.IBILI\u2014Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal"},{"name":"Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.brainresbull.2006.10.028","article-title":"Change in MRI striatal volumes as a biomarker in preclinical Huntington\u2019s disease","volume":"72","author":"Aylward","year":"2007","journal-title":"Brain Res. 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