{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:46:11Z","timestamp":1753875971124,"version":"3.41.2"},"reference-count":87,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"National Key Research and Development Program Project","award":["2021YFC2400203"],"award-info":[{"award-number":["2021YFC2400203"]}]},{"name":"Shaanxi Province Key Research and Development Program Project","award":["2023-YBSF-120"],"award-info":[{"award-number":["2023-YBSF-120"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Intrinsic neural activities are characterized as endless spontaneous fluctuation over multiple time scales. However, how the intrinsic brain organization changes over time under local perturbation remains an open question. By means of statistical physics, we proposed an approach to capture whole-brain dynamics based on estimating time-varying nonreversibility and k-means clustering of dynamic varying nonreversibility patterns. We first used synthetic fMRI to investigate the effects of window parameters on the temporal variability of varying nonreversibility. Second, using real test\u2013retest fMRI data, we examined the reproducibility, reliability, biological, and physiological correlation of the varying nonreversibility substates. Finally, using repetitive transcranial magnetic stimulation\u2013fMRI data, we investigated the modulation effects of repetitive transcranial magnetic stimulation on varying nonreversibility substate dynamics. The results show that: (i) as window length increased, the varying nonreversibility variance decreased, while the sliding step almost did not alter it; (ii) the global high varying nonreversibility states and low varying nonreversibility states were reproducible across multiple datasets and different window lengths; and (iii) there were increased low varying nonreversibility states and decreased high varying nonreversibility states when the left frontal lobe was stimulated, but not the occipital lobe. Taken together, these results provide a thermodynamic equilibrium perspective of intrinsic brain organization and reorganization under local perturbation.<\/jats:p>","DOI":"10.1093\/cercor\/bhae098","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T05:49:40Z","timestamp":1710740980000},"source":"Crossref","is-referenced-by-count":0,"title":["Dynamic nonreversibility view of intrinsic brain organization and brain dynamic analysis of repetitive transcranial magnitude stimulation"],"prefix":"10.1093","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0979-6979","authenticated-orcid":false,"given":"Liming","family":"Fan","sequence":"first","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi\u2019an Jiaotong University , Xi\u2019an, Shaanxi 710049 , China"},{"name":"National Engineering Research Center of Health Care and Medical Devices , Guangzhou, Guangdong 510500 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youjun","family":"Li","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi\u2019an Jiaotong University , Xi\u2019an, Shaanxi 710049 , China"},{"name":"National Engineering Research Center of Health Care and Medical Devices , Guangzhou, Guangdong 510500 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingjian","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi\u2019an Jiaotong University , Xi\u2019an, Shaanxi 710049 , China"},{"name":"National Engineering Research Center of Health Care and Medical Devices , Guangzhou, Guangdong 510500 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zi-gang","family":"Huang","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi\u2019an Jiaotong University , Xi\u2019an, Shaanxi 710049 , China"},{"name":"National Engineering Research Center of Health Care and Medical Devices , Guangzhou, Guangdong 510500 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Liu","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Institute of Health and Rehabilitation Science, Xi\u2019an Jiaotong University , Xi\u2019an, Shaanxi 710049 , China"},{"name":"National Engineering Research Center of Health 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