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The neural network mechanisms underlying this phenomenon is currently unknown.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>To investigate the resting\u2010state functional connectivity (rs\u2010FC) abnormalities of iNPH\u2010related brain connectivity from static and dynamic perspectives and the correlation of these abnormalities with clinical symptoms before and 3\u2010month after shunt. We investigated both static and dynamic functional network connectivity (sFNC and dFNC, respectively) in 33 iNPH patients and 23 healthy controls (HCs).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The sFNC and dFNC of networks were generally decreased in iNPH patients. The reduction in sFNC within the default mode network (DMN) and between the somatomotor network (SMN) and visual network (VN) were related to symptoms. The temporal properties of dFNC and its temporal variability in state\u20104 were sensitive to the identification of iNPH and were correlated with symptoms. The temporal variability in the dorsal attention network (DAN) increased, and the average instantaneous FC was altered among networks in iNPH. These features were partially associated with clinical symptoms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The dFNC may be a more sensitive biomarker for altered network function in iNPH, providing us with extra information on the mechanisms of iNPH.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cns.14178","type":"journal-article","created":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T05:11:01Z","timestamp":1679548261000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Abnormal characteristic static and dynamic functional network connectivity in idiopathic normal pressure hydrocephalus"],"prefix":"10.1111","volume":"30","author":[{"given":"Wenjun","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Radiology Huadong Hospital Affiliated to Fudan University  Shanghai 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