{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:49:24Z","timestamp":1786121364893,"version":"build-2736575974"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"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>\n                    <jats:title>Background and purpose<\/jats:title>\n                    <jats:p>Clinical evaluation of subjective tinnitus mainly depends on patients\u2019 self-reported auditory complaints, and standardized neuroimaging biomarkers for characterizing its central brain functional abnormalities remain lacking. The aim of this study is to utilize the resting-state functional magnetic resonance imaging (rs-fMRI) machine learning technique based on the region of interest (ROI), and to construct an exploratory classification framework for subjective tinnitus by analyzing functional activities and connectivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The rs-fMRI data of 63 patients with subjective tinnitus (38.79\u202f\u00b1\u202f15.79) and 84 healthy controls (HCs) (42.01\u202f\u00b1\u202f9.45) were collected from the Department of Otorhinolaryngology, the first affiliated Hospital of Nanchang University. Five analysis methods were used: regional homogeneity (ReHo), amplitude of low frequency fluctuation (ALFF), fraction amplitude of low frequency fluctuation (fALFF), resting state functional connectivity (RSFC) and degree centrality (DC). A total of 7,134 features are extracted after\n                      <jats:italic>z<\/jats:italic>\n                      conversion. Then, the predicted features were selected through Mann\u2013Whitney\n                      <jats:italic>U<\/jats:italic>\n                      test, the variables with high pairwise correlation (the correlation coefficient is greater than 0.75) were removed, the least absolute shrinkage and selection operator method was used to screen the features. Finally, a machine learning model was constructed by combining logistic regression (LR), support vector machine (SVM) and random forest (RF), and the performance differences of the three models were compared.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>21 features are retained, including 3 zRSFCs, 1 zALFFs, 6 zfALFFs, 3 zDCs, and 8 zReHos. Based on these 21 features, the model accuracy and area under the curve constructed by LR, SVM and RF were 75.51% and 0.80, 80.27% and 0.82, 73.47% and 0.79, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our findings indicate that the ROI-based rs-fMRI machine-learning provides preliminary proof-of-concept evidence for the objective confirmation of subjective tinnitus. The imaging information based on rs-fMRI has the potential to become a neuroimaging biomarker for tinnitus.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneur.2026.1796906","type":"journal-article","created":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T04:21:40Z","timestamp":1786076500000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Whole-brain functional activity and connectivity for the classification of subjective tinnitus: a machine learning study"],"prefix":"10.3389","volume":"17","author":[{"given":"Jianxiong","family":"Song","sequence":"first","affiliation":[{"name":"Department of Otolaryngology, Jiangxi Provincial Children\u2019s Hospital","place":["Nanchang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Ouyang","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, The First Affiliated Hospital of Nanchang University","place":["Nanchang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongqiang","family":"Shu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital of Nanchang University","place":["Nanchang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence and Informatization, The Second Affiliated Hospital of Nanchang University","place":["Nanchang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, Jiangxi Provincial Children\u2019s Hospital","place":["Nanchang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, Jiangxi Provincial Children\u2019s Hospital","place":["Nanchang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,7]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.heares.2016.05.009","article-title":"A systematic review of the reporting of tinnitus prevalence and severity","volume":"337","author":"McCormack","year":"2016","journal-title":"Hear Res"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1038\/nrn4003","article-title":"Tinnitus: perspectives from human neuroimaging","volume":"16","author":"Elgoyhen","year":"2015","journal-title":"Nat Rev Neurosci"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"e0127578","DOI":"10.1371\/journal.pone.0127578","article-title":"Analysis of the prevalence and associated risk factors of tinnitus in adults","volume":"10","author":"Kim","year":"2015","journal-title":"PLoS 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