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Construction and inter\u2010cohort validation of imaging biomarkers for predicting MCI conversion is of great challenge at present, due to lack of longitudinal cohorts and poor reproducibility of various study\u2010specific imaging indices. We proposed a novel framework for inter\u2010cohort MCI conversion prediction, involving comparison of structural, static, and dynamic functional brain features from structural magnetic resonance imaging (sMRI) and resting\u2010state functional MRI (fMRI) between MCI converters (MCI_C) and non\u2010converters (MCI_NC), and support vector machine for construction of prediction models. A total of 218 MCI patients with 3\u2010year follow\u2010up outcome were selected from two independent cohorts: Shanghai Memory Study cohort for internal cross\u2010validation, and Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort for external validation. In comparison with MCI_NC, MCI_C were mainly characterized by atrophy, regional hyperactivity and inter\u2010network hypo\u2010connectivity, and dynamic alterations characterized by regional and connectional instability, involving medial temporal lobe (MTL), posterior parietal cortex (PPC), and occipital cortex. All imaging\u2010based prediction models achieved an area under the curve (AUC)\u2009&gt;\u20090.7 in both cohorts, with the multi\u2010modality MRI models as the best with excellent performances of AUC\u2009&gt;\u20090.85. Notably, the combination of static and dynamic fMRI resulted in overall better performance as relative to static or dynamic fMRI solely, supporting the contribution of dynamic features. This inter\u2010cohort validation study provides a new insight into the mechanisms of MCI conversion involving brain dynamics, and paves a way for clinical use of structural and functional MRI biomarkers in future.<\/jats:p>","DOI":"10.1002\/hbm.26529","type":"journal-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T19:21:30Z","timestamp":1700767290000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Structural, static, and dynamic functional\n                    <scp>MRI<\/scp>\n                    predictors for conversion from mild cognitive impairment to Alzheimer's disease: Inter\u2010cohort validation of Shanghai Memory Study and\n                    <scp>ADNI<\/scp>"],"prefix":"10.1002","volume":"45","author":[{"given":"Zhihan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Radiology, Huashan Hospital Fudan University  Shanghai China"},{"name":"Academy for 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