{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T06:35:21Z","timestamp":1772692521351,"version":"3.50.1"},"reference-count":50,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T00:00:00Z","timestamp":1729555200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371935"],"award-info":[{"award-number":["82371935"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81472037"],"award-info":[{"award-number":["81472037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The functional connectivity (FC) has emerged as a valuable tool for comprehending the cerebral operational mechanism. Understanding the FC changes in patients with chronic ankle instability (CAI) helps reveal the underlying central nervous system mechanisms of the disease and provides clues for developing personalized treatment plans.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To explore differences between low\u2010 and high\u2010order FC in patients with CAI and healthy controls, as well as the correlation among the feature connections and clinical data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In our study, we recruited 40 patients with CAI and 42 healthy individuals who had not experienced ankle injuries. All participants underwent clinical assessments of ankle joints, collected the number of ankle sprains within the past 6 months, and performed resting\u2010state functional magnetic resonance imaging (rs\u2010fMRI) scans. Pearson correlation and matrix variate normal distribution (MVND) were used to construct low\u2010order and high\u2010order FC networks, respectively. Feature selections between groups were performed by two\u2010sample <jats:italic>t<\/jats:italic>\u2010tests, and a multi\u2010kernel support vector machine (MK\u2010SVM) was subsequently applied to combine the multiple connection patterns for the classification. Using leave\u2010one\u2010out cross\u2010validation (LOOCV) to assess classification performance and identify the consensus connections contributing most to classification.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>FC was reduced in certain brain regions of CAI patients. More consensus connections were recognized in low\u2010order FC network than in high\u2010order FC network. The highest classification accuracy of 91.30% was achieved by combining three connection patterns. The most discriminating functional connections were primarily centered on the default mode network and spanned the visual network, sensorimotor network, ventral attention network, and central executive network. In addition, FC strength in the left cingulate and paracingulate gyrus (DCG.L) and right superior temporal gyrus (STG.R) was negatively correlated with the number of ankle sprains in the past 6 months in all FC networks (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Abnormalities in connectivity in patients with CAI were observed in both low\u2010 and high\u2010order FC networks. The adaptive changes in the brain related to CAI may extend beyond the sensorimotor networks, primarily involving higher\u2010level default mode networks associated with attention. Moreover, the FC strength between DCG.L and STG.R may predict the risk of ankle re\u2010sprains and help clinicians develop personalized treatment plans.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.17474","type":"journal-article","created":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T11:07:03Z","timestamp":1729595223000},"page":"565-575","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploring low\u2010 and high\u2010order functional connectivity in chronic ankle instability through resting\u2010state fMRI"],"prefix":"10.1002","volume":"52","author":[{"given":"Yajie","family":"Li","sequence":"first","affiliation":[{"name":"Department of Radiology, Huashan Hospital Fudan University  Shanghai P.R. China"},{"name":"Shanghai Institute of Medical Imaging  Shanghai P.R. 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