简介：在小世界网络基于我们的以前联合脉搏的integrate-and-Gre神经原模型，我们在这个模型生产的象electroencephalographic一样信号的复杂行为上调查不同连接拓扑学的效果。我们证明若干次，经常是的系列分析方法使用了分析electroencephalographic-likesignals的复杂行为，例如在重新可伸缩的范围分析(R/S)以内的阶段空间，关联尺寸，分数维的尺寸，和林中小丘代表的重建。我们发现不同连接拓扑学在integrate-and-fire神经原的模型导致不同动态行为。

简介：Manualacupunctureiswidelyusedforpainreliefandstresscontrol.Previousstudiesonacupuncturehaveshownitsmodulatoryeffectsonthefunctionalconnectivityassociatedwithoneorafewpreselectedbrainregions.Toinvestigatehowmanualacupuncturemodulatestheorganizationoffunctionalnetworksatawhole-brainlevel,weacupunctureatST36ofarightlegtoobtainelectroencephalograph(EEG)signals.Bycoherenceestimation,wedeterminethesynchronizationsbetweenallpairwisecombinationsofEEGchannelsinthreeacupuncturestates.Theresultingsynchronizationmatricesareconvertedintofunctionalnetworksbyapplyingathreshold,andtheclusteringcoefficientsandpathlengthsarecomputedasafunctionofthreshold.Theresultsshowthatacupuncturecanincreasefunctionalconnectionsandsynchronizationsbetweendifferentbrainareas.Forawiderangeofthresholds,theclusteringcoefficientduringacupunctureandpostacupunctureperiodishigherthanthatduringthepre-acupuncturecontrolperiod,whereasthecharacteristicpathlengthisshorter.Weprovidefurthersupportforthepresenceof'small-world'networkcharacteristicsinfunctionalnetworksbyusingacupuncture.Thesepreliminaryresultshighlightthebeneficialmodulationsoffunctionalconnectivitybymanualacupuncture,whichcouldcontributetotheunderstandingoftheeffectsofacupunctureontheentirebrain,aswellastheneurophysiologicalmechanismsunderlyingacupuncture.Moreover,theproposedmethodmaybeausefulapproachtothefurtherinvestigationofthecomplexityofpatternsofinterrelationsbetweenEEGchannels.