{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T14:16:19Z","timestamp":1785161779498,"version":"3.55.0"},"reference-count":44,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T00:00:00Z","timestamp":1724716800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Due to the absence of biomarkers, the misdiagnosis of essential tremor (ET) with other tremor diseases and enhanced physiologic tremor is very common in practice. Combined radiomics based on diffusion tensor imaging (DTI) and three-dimensional T1-weighted imaging (3D-T1) with machine learning (ML) give a most promising way to identify essential tremor (ET) at the individual level and further reveal the potential imaging biomarkers.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Radiomics features were extracted from 3D-T1 and DTI in 103 ET patients and 103 age-and sex-matched healthy controls (HCs). After data dimensionality reduction and feature selection, five classifiers, including the support vector machine (SVM), random forest (RF), logistic regression (LR), extreme gradient boosting (XGBoost) and multi-layer perceptron (MLP), were adopted to discriminate ET from HCs. The mean values of the area under the curve (mAUC) and accuracy were used to assess the model\u2019s performance. Furthermore, a correlation analysis was conducted between the most discriminative features and clinical tremor characteristics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>All classifiers achieved good classification performance (with mAUC at 0.987, 0.984, 0.984, 0.988 and 0.981 in the test set, respectively). The most powerful discriminative features mainly located in the cerebella-thalamo-cortical (CTC) and visual pathway. Furthermore, correlation analysis revealed that some radiomics features were significantly related to the clinical tremor characteristics in ET patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>These results demonstrated that combining radiomics with ML algorithms could not only achieve high classification accuracy for identifying ET but also help us to reveal the potential brain microstructure pathogenesis in ET patients.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fneur.2024.1460041","type":"journal-article","created":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T07:19:30Z","timestamp":1724829570000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Radiomics based on diffusion tensor imaging and 3D T1-weighted MRI for essential tremor diagnosis"],"prefix":"10.3389","volume":"15","author":[{"given":"Bintao","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Honge","family":"Gui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaole","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiyue","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hansheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fajin","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyou","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oumei","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Man","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weidong","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2024,8,27]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"l4485","DOI":"10.1136\/bmj.l4485","article-title":"Essential tremor: diagnosis and management","volume":"366","author":"Shanker","year":"2019","journal-title":"BMJ"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1002\/mds.27121","article-title":"Consensus statement on the classification of tremors. From the task force on tremor of the International Parkinson and Movement Disorder Society","volume":"33","author":"Bhatia","year":"2018","journal-title":"Mov Disord"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"120198","DOI":"10.1016\/j.jns.2022.120198","article-title":"Essential tremor: clinical perspectives and pathophysiology","volume":"435","author":"Mk","year":"2022","journal-title":"J Neurol Sci"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/s12311-023-01551-3","article-title":"Clinical heterogeneity of essential tremor: understanding neural substrates of action tremor subtypes","volume":"2023","author":"Fanning","year":"2023","journal-title":"Cerebellum"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1186\/s42466-020-00092-y","article-title":"A machine learning-based classification approach on Parkinson\u2019s disease diffusion tensor imaging datasets","volume":"2","author":"Prasuhn","year":"2020","journal-title":"Neurol Res Pract"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"1313","DOI":"10.1016\/j.compbiomed.2013.07.004","article-title":"Classification of diffusion tensor images for the early detection of Alzheimer\u2019s disease","volume":"43","author":"Lee","year":"2013","journal-title":"Comput Biol Med"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"cns.13959","DOI":"10.1111\/cns.13959","article-title":"Multimodal striatal neuromarkers in distinguishing parkinsonian variant of multiple system atrophy from idiopathic Parkinson\u2019s disease. 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