{"title":"预测中风后认知轨迹的创新与挑战。","authors":"Nele Demeyere, Margaret J Moore","doi":"10.1093/braincomms/fcae364","DOIUrl":null,"url":null,"abstract":"<p><p>This scientific commentary refers to 'Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms', by Matsulevits <i>et al</i>. (https://doi.org/10.1093/braincomms/fcae338).</p>","PeriodicalId":93915,"journal":{"name":"Brain communications","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503942/pdf/","citationCount":"0","resultStr":"{\"title\":\"Innovations and challenges in predicting cognitive trajectories after stroke.\",\"authors\":\"Nele Demeyere, Margaret J Moore\",\"doi\":\"10.1093/braincomms/fcae364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This scientific commentary refers to 'Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms', by Matsulevits <i>et al</i>. (https://doi.org/10.1093/braincomms/fcae338).</p>\",\"PeriodicalId\":93915,\"journal\":{\"name\":\"Brain communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503942/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/braincomms/fcae364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/braincomms/fcae364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Innovations and challenges in predicting cognitive trajectories after stroke.
This scientific commentary refers to 'Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms', by Matsulevits et al. (https://doi.org/10.1093/braincomms/fcae338).
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