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Machine learning-based characterization of dynamic brain functional network connectivity in patients with first-episode schizophrenia
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作者 LIU Pei 《China Medical Abstracts(Internal Medicine)》 2025年第3期190-191,共2页
Objective Using resting-state functional magnetic resonance imaging (rs-fMRI),we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ)and... Objective Using resting-state functional magnetic resonance imaging (rs-fMRI),we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ)and evaluated the potential clinical value of dFNC changes in combination with a machine learning model. 展开更多
关键词 dynamic brain functional network connectivity resting state functional magnetic resonance imaging dfnc dynamic functional network connections machine learning model machine learning first episode schizophrenia clinical value
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