A Principled Framework to Assess the Information-Theoretic Fitness of Brain Functional Sub-Circuits
Duong-Tran D, Nguyen N, Mu S, Chen J, Bao J, Xu F, Garai S, Cadena-Pico J, Kaplan A, Chen T, Zhao Y, Shen L, Goñi J. A Principled Framework to Assess the Information-Theoretic Fitness of Brain Functional Sub-Circuits. Mathematics 2024, 12: 2967. PMID: 38979488, PMCID: PMC11230349, DOI: 10.3390/math12192967.Peer-Reviewed Original ResearchStochastic block modelMultiple levels of granularityLevels of granularityFunctional networksInformation-theoreticThreshold methodThreshold strategyFunctional connectomeSub-circuitsGranularityHuman brain connectomeNetworkHuman Connectome ProjectBlock modelBrain connectome analysisFunctional sub-circuitsTopological featuresFrameworkPrinciples frameworkConnectome ProjectBrain connectomeNetwork neuroscienceThreshold valueMultiple levelsPartitioningHomological Landscape of Human Brain Functional Sub-Circuits
Duong-Tran D, Kaufmann R, Chen J, Wang X, Garai S, Xu F, Bao J, Amico E, Kaplan A, Petri G, Goni J, Zhao Y, Shen L. Homological Landscape of Human Brain Functional Sub-Circuits. Mathematics 2024, 12: 455. DOI: 10.3390/math12030455.Peer-Reviewed Original ResearchFunctional sub-circuitsHuman brain functional connectivityWhole-brain functional connectivity networksNon-local propertiesWorking memory taskWhole-brain levelBrain functional connectivityNon-localFunctional connectivity networksMemory taskEmotional tasksLimbic networkMode networkFunctional connectivityBrain connectomeWhole-brainFormalismLocal structureMotor tasksConnectivity networksSubject domainSub-circuitsTask