Brain Neuron Network Extraction and Analysis of Live Mice from Imaging Videos

Modernbrainmappingtechniquesareproducingincreasinglylargedatasetsofanatomicalorfunctional connectionpatterns.Recently,itbecamepossibletorecorddetailedliveimagingvideosofmammal brainwhilethesubjectisengagingroutineactivity.Weanalyzevideosrecordedfromtenmiceto describehowtodetectneurons,extractneuronsignals,mapcorrelationofneuronsignalstomice activity,detectthenetworktopologyofactiveneurons,andanalyzenetworktopologycharacteristics. Weproposeaneuronpositionalignmentmethodtocompensatethedistortionandmovementofcerebral cortexinlivemousebrainandthebackgroundluminancecompensationtoextractandmodelneuron activity.Tofindoutthenetworktopology,across-correlationbasedmethodandacausalBayesian networkmethodareproposedandusedforanalysis.Afterwards,wedidpreliminaryanalysison networktopologies.Thesignificanceofthispaperisonhowtoextractneuronactivitiesfromlive mousebrainimagingvideosandanetworkanalysismethodtoanalyzeitstopology. KEywoRDS Brain Neuron Activity, Clustering, Network Analysis, Neuron Image Processing, Small-World Property

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