{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T13:34:25Z","timestamp":1777469665321,"version":"3.51.4"},"reference-count":45,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Brain Connectivity"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>Essential tremor (ET) comprises motor and non-motor-related features, whereas the current neuro-pathogenetic basis is still insufficient to explain the etiologies of ET. Although cerebellum-associated circuits have been discovered, the large-scale cerebral network connectivity in ET remains unclear. This study aimed to characterize the ET in terms of functional connectivity as well as network. We hypothesized that the resting-state network (RSN) within cerebrum could be altered in patients with ET.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Resting-state functional magnetic resonance imaging (fMRI) was used to evaluate the inter- and intra-network connectivity as well as the functional activity in ET and normal control. Correlation analysis was performed to explore the relationship between RSN metrics and tremor features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Comparison of inter-network connectivity indicated a decreased connectivity between default mode network and ventral attention network in the ET group (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      &lt; 0.05). Differences in functional activity (assessed by amplitude of low-frequency fluctuation, ALFF) were found in several brain regions participating in various RSNs (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      &lt; 0.05). The ET group generally has higher degree centrality over normal control. Correlation analysis has revealed that tremor features are associated with inter-network connectivity (|r| = 0.135\u20130.506), ALFF (|r| = 0.313\u20130.766), and degree centrality (|r| = 0.523\u20130.710).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Alterations in the cerebral network of ET were detected by using resting-state fMRI, demonstrating a potentially useful approach to explore the cerebral alterations in ET.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/brain.2024.0004","type":"journal-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T11:32:00Z","timestamp":1718364720000},"page":"382-390","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Resting-State Network Analysis Reveals Altered Functional Brain Connectivity in Essential Tremor"],"prefix":"10.1177","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2930-8562","authenticated-orcid":false,"given":"Sheng-Min","family":"Huang","sequence":"first","affiliation":[{"name":"Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheung-Ter","family":"Ong","sequence":"additional","affiliation":[{"name":"Department of Neurology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi, Taiwan."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Ching","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Neurology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan."},{"name":"Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, Taiwan."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan-Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting-Kai","family":"Leung","sequence":"additional","affiliation":[{"name":"Department of Radiology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan."},{"name":"Graduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun-Ying","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, 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