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By systematically modifying the input images, we discovered several important drawing attributes for cognition, including line waviness. Our results demonstrate that deep learning models can extract novel drawing metrics to improve the assessment and monitoring of cognitive decline and dementia in older adults.<\/jats:p>","DOI":"10.1038\/s41746-023-00904-w","type":"journal-article","created":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T03:02:28Z","timestamp":1692759748000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons"],"prefix":"10.1038","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3656-7394","authenticated-orcid":false,"given":"Shinya","family":"Tasaki","sequence":"first","affiliation":[]},{"given":"Namhee","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Tim","family":"Truty","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4013-1657","authenticated-orcid":false,"given":"Ada","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6426-2742","authenticated-orcid":false,"given":"Aron S.","family":"Buchman","sequence":"additional","affiliation":[]},{"given":"Melissa","family":"Lamar","sequence":"additional","affiliation":[]},{"given":"David A.","family":"Bennett","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,23]]},"reference":[{"key":"904_CR1","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1590\/1980-57642018dn12-010008","volume":"12","author":"JE Martinelli","year":"2018","unstructured":"Martinelli, J. 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