{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T09:19:15Z","timestamp":1780478355079,"version":"3.54.1"},"reference-count":49,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:00:00Z","timestamp":1731369600000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Neuroscience Research"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Brain neural signal at different frequency bands relates to different functions. However, the frequency\u2010specific properties of spontaneous brain activity in tension\u2010type headache (TTH)\u2014the most rampant primary headache\u2014remain largely unknown. We investigated the local neural activity of 33 TTH patients and 31 healthy controls (HCs) in the conventional frequency band and two sub\u2010frequency bands (slow\u20104 and slow\u20105 frequency band), employing fractional amplitude of low\u2010frequency fluctuations (fALFF), percent amplitude fluctuations (PerAF) and Wavelet\u2010ALFF analytic methods. Using age as covariate, we performed two sample\n                    <jats:italic>t<\/jats:italic>\n                    \u2010test to compare the between\u2010group differences of each metrics in each frequency band. Support vector machine (SVM) was conducted to classify TTH patients and HCs on the basis of altered spontaneous brain activities. TTH patients showed lower fALFF values in the left cerebellar lobule X, left parahippocampal gyrus, and right supplementary motor area in slow\u20105 band. TTH patients showed lower PerAF in the left fusiform and cerebellar regions in three bands. Altered Wavelet\u2010ALFF values in the right thalamus, left anterior cingulum gyrus, superior parietal gyrus and middle and parietal frontal regions in three frequency bands were detected. And the SVM classifier obtained an overall accuracy of 77.38%, 82.38%, and 95% based on fALFF, PerAF, and Wavelet ALFF values, respectively. TTH patients exhibited abnormal neural activity in various brain regions. The abnormal brain activities serve as powerful features for distinguishing TTH patients. This preliminary exploration provides a novel insight into the underlying mechanism of TTH.\n                  <\/jats:p>","DOI":"10.1002\/jnr.25398","type":"journal-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T05:35:24Z","timestamp":1731389724000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Frequency\u2010Specific Alternations in the Amplitude of Fluctuations in Tension\u2010Type Headache: A Machine Learning Study"],"prefix":"10.1002","volume":"102","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4698-8723","authenticated-orcid":false,"given":"Xize","family":"Jia","sequence":"first","affiliation":[{"name":"School of Psychology Zhejiang Normal University  Jinhua China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengting","family":"Li","sequence":"additional","affiliation":[{"name":"School of Psychology Zhejiang Normal University  Jinhua 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