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Natl. Acad. Sci. U.S.A."],"published-print":{"date-parts":[[2023,4,4]]},"abstract":"<jats:p>\n                    Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored is the actual structure of the waves\u2014their shapes and patterns over finite timescales. Here, we study brain wave patterning in different physiological contexts using two independent approaches: The first is based on quantifying stochasticity relative to the underlying mean behavior, and the second assesses \u201corderliness\u201d of the waves\u2019 features. The corresponding measures capture the waves\u2019 characteristics and abnormal behaviors, such as atypical periodicity or excessive clustering, and demonstrate coupling between the patterns\u2019 dynamics and the animal\u2019s location, speed, and acceleration. Specifically, we studied patterns of\n                    <jats:bold>\n                      <jats:italic>\u03b8<\/jats:italic>\n                    <\/jats:bold>\n                    ,\n                    <jats:bold>\n                      <jats:italic>\u03b3<\/jats:italic>\n                    <\/jats:bold>\n                    , and ripple waves recorded in mice hippocampi and observed speed-modulated changes of the wave\u2019s cadence, an antiphase relationship between orderliness and acceleration, as well as spatial selectiveness of patterns. Taken together, our results offer a complementary\u2014mesoscale\u2014perspective on brain wave structure, dynamics, and functionality.\n                  <\/jats:p>","DOI":"10.1073\/pnas.2218245120","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T13:13:50Z","timestamp":1680009230000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":9,"title":["Pattern dynamics and stochasticity of the brain rhythms"],"prefix":"10.1073","volume":"120","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7791-9483","authenticated-orcid":false,"given":"Clarissa","family":"Hoffman","sequence":"first","affiliation":[{"name":"Department of Neurology, McGovern Medical School, The University of Texas, Houston, TX 77030"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingheng","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4115-5888","authenticated-orcid":false,"given":"Daoyun","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030"},{"name":"Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, TX 77030"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0272-7284","authenticated-orcid":false,"given":"Yuri","family":"Dabaghian","sequence":"additional","affiliation":[{"name":"Department of Neurology, McGovern Medical School, The University of Texas, Houston, TX 77030"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"341","published-online":{"date-parts":[[2023,3,28]]},"reference":[{"key":"e_1_3_4_1_2","volume-title":"Rhythms in the Brain","author":"Buzs\u00e1ki G.","year":"2011","unstructured":"G. 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