基于fMRI的动态高阶功能连接网络的研究

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中图分类号：TP181 文献标识码：A 文章编号：2096-4706（2025）15-0057-06

Research on Dynamic High-order Functional Connectivity Network Based on fMRl

FENG Chunxiang， ZHENG Xing （AnhuiBusiness College，Wuhu 241002， China）

Abstract： The Functional Connectivity Network （FCN） based on resting-state functional Magnetic Resonance Imaging （rs-fMRI），alsoknowasthebainnetwork，hasbeenwidelyappiedithestudiesofhumanbraindiseasesandthefunctional analysis oftheconnections betweendiferent brainregions.Inrecentyears，mostofthe studies havefocusedonthedynamic second-orderfunctionalcomectivitynetwork，andtherearefewstdiesexploringthedynamichigh-orderfunctionalcoectivity network.Based on this，this study proposes a method for constructing a dynamic high-order functional connectivity network basedonrs-fMRI.Inordertodepictthetemporalandspatialchanges betweenbrainregions，feature extractioniscaiedout for the constructed network.Then，a Manifold Regularized Multi-task Feature Learning method （M2FL） isused for feature selection. FinalyamulteeluprtVctoracie（isedforlasifatioeproposdeodispliedtatio experiments on two real brain disease datasets，and the results verify the effectiveness of the proposed method.

Keywords：functional Magnetic Resonance Imaging;dynamic functionalconnectivityanalysis;high-order functional connectivity;variabilitycharacteristic;classification

0 引言

功能磁共振成像（functionalMagneticResonanceImaging，fMRI）作为一种高级的医学影像技术，在寻找脑疾病的生物标志物方面展现了巨大的潜力。（剩余10223字）