{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T18:38:54Z","timestamp":1792003134372,"version":"4.4.0"},"reference-count":53,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Osseous structures have been recognized as an endocrine organ that bidirectionally interacts with the brain. Osteoporosis (OP) is a systemic endocrine disorder linked to neurodegenerative disorders. This bone\u2013brain axis interdependence highlights the necessity of cognitive monitoring in OP management to detect early neurodegeneration markers, particularly given individual variability in brain reserve that may predispose patients to accelerated cognitive decline.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To investigate the individual differences in functional connectome and its association with cognitive ability in OP.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design<\/jats:title><jats:p>Longitudinal human study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>A total of 31 OP patients (Age: 56.7\u2009\u00b1\u200913.2, 17 Male) and 31 healthy controls (HC, age: 55.1\u2009\u00b1\u200911.3, 15 male).<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3\u2009T, gradient\u2010echo EPI sequence, MP2RAGE sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Individual identification analyses were performed to investigate the individual\u2010specific pattern of brain functional connectome in both OP and HC by leveraging longitudinal test\u2013retest fMRI data to map individual variabilities in brain functional connectomes. Cognitive abilities were assessed using the Montreal Cognitive Assessment (MoCA) and Mini\u2010Mental State Examination (MMSE).<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Two\u2010sample <jats:italic>t<\/jats:italic> tests, support vector regression, permutation tests, and Bonferroni correction. A <jats:italic>p<\/jats:italic> &lt;\u20090.05 was considered statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Significant inter\u2010individual variability (SD<jats:sub>OP<\/jats:sub>\u2009=\u20093.27, SD<jats:sub>HC<\/jats:sub>\u2009=\u20092.35) and robust intra\u2010individual stability (<jats:italic>P<\/jats:italic>\n<jats:sub>OP<\/jats:sub>\u2009=\u20090.17, <jats:italic>P<\/jats:italic>\n<jats:sub>HC<\/jats:sub>\u2009=\u20090.59) in cognitive performance for both OP and HC groups were observed. In addition, functional connectivity profiles could reliably identify individuals across sessions (SuccessRate, SR<jats:sub>OP<\/jats:sub>\u2009=\u200985%, SR<jats:sub>HC<\/jats:sub>\u2009=\u200992%). The support vector regression model revealed that connectivity profiles could predict cognitive ability both within (<jats:italic>r<\/jats:italic>\n<jats:sub>MoCA\u2010OP<\/jats:sub>\u2009=\u20090.63, <jats:italic>r<\/jats:italic>\n<jats:sub>MMSE\u2010OP<\/jats:sub>\u2009=\u20090.54, <jats:italic>r<\/jats:italic>\n<jats:sub>MoCA\u2010HC<\/jats:sub>\u2009=\u20090.58, <jats:italic>r<\/jats:italic>\n<jats:sub>MMSE\u2010HC<\/jats:sub>\u2009=\u20090.61) and between sessions (<jats:italic>r<\/jats:italic>\n<jats:sub>MoCA\u2010OP<\/jats:sub>\u2009=\u20090.47, <jats:italic>r<\/jats:italic>\n<jats:sub>MMSE\u2010OP<\/jats:sub>\u2009=\u20090.41, <jats:italic>r<\/jats:italic>\n<jats:sub>MoCA\u2010HC<\/jats:sub>\u2009=\u20090.53; <jats:italic>r<\/jats:italic>\n<jats:sub>MMSE\u2010HC<\/jats:sub>\u2009=\u20090.54), with the medial\u2010frontal and default\u2010mode networks emerging as the most predictive contributors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>These findings underscore the potential of resting\u2010state functional connectomes characterizing individual variability for cognitive ability in OP patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>4.<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29820","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T04:54:18Z","timestamp":1747630458000},"page":"1035-1046","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Identifying Inter\u2010Individual Differences in Cognitive Decline Using the Brain Connectome in Osteoporosis"],"prefix":"10.1002","volume":"62","author":[{"given":"Chao","family":"Li","sequence":"first","affiliation":[{"name":"Department of Orthopedics Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science  Xiangyang Hubei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoping","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Orthopedics Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science  Xiangyang Hubei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kechong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Urology Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science  Xiangyang Hubei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Orthopedics Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science  Xiangyang Hubei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziwei","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, 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