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Traditional methods that detect peaks over 1\/\n                    <jats:italic>f<\/jats:italic>\n                    noise within the power spectrum fail to distinguish between the fundamental frequency and harmonics of often highly non-sinusoidal neural oscillations. To overcome this limitation, we define fundamental criteria that characterize neural oscillations and introduce the cyclic homogeneous oscillation (CHO) detection method. We implemented these criteria based on an autocorrelation approach to determine an oscillation\u2019s fundamental frequency. We evaluated CHO by verifying its performance on simulated non-sinusoidal oscillatory bursts and validated its ability to determine the fundamental frequency of neural oscillations in electrocorticographic (ECoG), electroencephalographic (EEG), and stereoelectroencephalographic (SEEG) signals recorded from 27 human subjects. Our results demonstrate that CHO outperforms conventional techniques in accurately detecting oscillations. In summary, CHO demonstrates high precision and specificity in detecting neural oscillations in time and frequency domains. The method\u2019s specificity enables the detailed study of non-sinusoidal characteristics of oscillations, such as the degree of asymmetry and waveform of an oscillation. Furthermore, CHO can be applied to identify how neural oscillations govern interactions throughout the brain and to determine oscillatory biomarkers that index abnormal brain function.\n                  <\/jats:p>","DOI":"10.7554\/elife.91605","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T08:13:35Z","timestamp":1700208815000},"update-policy":"https:\/\/doi.org\/10.7554\/elife.91605","source":"Crossref","is-referenced-by-count":4,"title":["Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics"],"prefix":"10.7554","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1512-0622","authenticated-orcid":true,"given":"Hohyun","family":"Cho","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01yc7t268","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Neurosurgery, Washington University School of Medicine","place":["St. Louis, United States"]},{"name":"National Center for Adaptive Neurotechnologies","place":["St. Louis, United States"]}],"role":[{"role":"author","vocabulary":"crossref"},{"role":"corresponding-author","vocabulary":"crossref"},{"role":"conceptualization","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8519-9212","authenticated-orcid":true,"given":"Markus","family":"Adamek","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01yc7t268","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Neurosurgery, Washington University School of Medicine","place":["St. Louis, United States"]},{"name":"National Center for Adaptive Neurotechnologies","place":["St. Louis, United States"]}],"role":[{"role":"author","vocabulary":"crossref"},{"role":"methodology","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Jon T","family":"Willie","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01yc7t268","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Neurosurgery, Washington University School of Medicine","place":["St. Louis, United States"]},{"name":"National Center for Adaptive Neurotechnologies","place":["St. Louis, United States"]}],"role":[{"role":"author","vocabulary":"crossref"},{"role":"funding-acquisition","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2588-2754","authenticated-orcid":true,"given":"Peter","family":"Brunner","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01yc7t268","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Neurosurgery, Washington University School of Medicine","place":["St. Louis, United States"]},{"name":"National Center for Adaptive Neurotechnologies","place":["St. Louis, United States"]}],"role":[{"role":"author","vocabulary":"crossref"},{"role":"corresponding-author","vocabulary":"crossref"},{"role":"conceptualization","vocabulary":"credit"},{"role":"data-curation","vocabulary":"credit"},{"role":"funding-acquisition","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]}],"member":"4374","published-online":{"date-parts":[[2024,9,6]]},"reference":[{"key":"bib1","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1080\/21646821.2016.1245558","type":"journal-article","article-title":"American clinical neurophysiology society guideline 2: Guidelines for standard electrode position nomenclature","volume":"56","author":"Acharya","year":"2016","journal-title":"The Neurodiagnostic Journal"},{"key":"bib2","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.7486842","type":"software","article-title":"VERA - A versatile electrode localization framework","volume-title":"Zenodo","author":"Adamek","year":"2022","unstructured":"Adamek M. 2022. 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