2025
Static and Dynamic Cross‐Network Functional Connectivity Shows Elevated Entropy in Schizophrenia Patients
Maksymchuk N, Miller R, Bustillo J, Ford J, Mathalon D, Preda A, Pearlson G, Calhoun V. Static and Dynamic Cross‐Network Functional Connectivity Shows Elevated Entropy in Schizophrenia Patients. Human Brain Mapping 2025, 46: e70134. PMID: 39924889, PMCID: PMC11808047, DOI: 10.1002/hbm.70134.Peer-Reviewed Original ResearchConceptsSZ patientsCognitive controlBrain networksFunctional connectivityHealthy controlsBrain domainsConnection strengthAnalyzed fMRI dataFunctional brain networksDiagnosed mental health conditionDynamic functional connectivityMental health conditionsSchizophrenia patientsSchizophreniaFMRI dataBrain statesEntropy correlationBrainDiseased brain statesSensorimotorControl groupK-means cluster analysisDMNConnection levelHealth conditionsAn Explainable Unified Framework of Spatio-Temporal Coupling Learning With Application to Dynamic Brain Functional Connectivity Analysis
Gao B, Yu A, Qiao C, Calhoun V, Stephen J, Wilson T, Wang Y. An Explainable Unified Framework of Spatio-Temporal Coupling Learning With Application to Dynamic Brain Functional Connectivity Analysis. IEEE Transactions On Medical Imaging 2025, 44: 941-951. PMID: 39320999, PMCID: PMC11977455, DOI: 10.1109/tmi.2024.3467384.Peer-Reviewed Original ResearchSpatio-temporal informationDeep learning networkInter-node connectivitySpatio-temporal correlationMachine learning modelsNode representationsPoor explainabilityCoupling learningLearning frameworkDeep learningLearning networkLearning modelsExplainabilityTime series dataExperimental resultsCoupling associationFramework constructionLearningDynamic functional connectivityFrameworkBrain functional connectivity analysisBrain dynamic functional connectivityInformationConnectionNetwork
2024
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development
Chen L, Qiao C, Ren K, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 2024, 298: 120771. PMID: 39111376, PMCID: PMC11533345, DOI: 10.1016/j.neuroimage.2024.120771.Peer-Reviewed Original ResearchConceptsSpatio-temporal dependenciesSpatial neighborhoodGraph learning methodsBrain network analysisNode representationsEvolution mechanisms of complex networksAdjacency informationDynamic brain network analysisModel explainabilityLanguage processingGraph evolutionEvolution learningLearning methodsLocal informationMechanism of complex networksDynamic evolutionModel dynamic interactionsDynamic functional connectivityNetwork componentsNested subgraphsLearning moduleExperimental resultsNetworkNetwork transitionsBrain development studiesCognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children population
Fu Z, Sui J, Iraji A, Liu J, Calhoun V. Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (N > 10,000) children population. Molecular Psychiatry 2024, 30: 402-413. PMID: 39085394, PMCID: PMC11746149, DOI: 10.1038/s41380-024-02683-6.Peer-Reviewed Original ResearchDynamic functional connectivity statesDynamic functional connectivityAdolescent Brain Cognitive DevelopmentCognitive performanceDynamic functional connectivity patternsSensory networksAnalysis of dynamic functional connectivityFunctional connectivity statesDefault-modeNeurological underpinningsAttention problemsPsychiatric relevanceFunctional connectivitySensorimotor networkMediation analysisCognitive developmentChild's brainBrain statesMental healthMental problemsBrain dynamicsSliding-window approachMental behaviorBrainCerebellumDynamic Fusion of Multimodal MRI Data Captures Flexible, Time-Sensitive Structure-Function Linkages in the Brain
Duda M, Agcaoglu O, Calhoun V. Dynamic Fusion of Multimodal MRI Data Captures Flexible, Time-Sensitive Structure-Function Linkages in the Brain. 2024, 00: 1-4. DOI: 10.1109/isbi56570.2024.10635669.Peer-Reviewed Original ResearchThe risk of cannabis use disorder is mediated by altered brain connectivity: A chronnectome study
Fazio G, Olivo D, Wolf N, Hirjak D, Schmitgen M, Werler F, Witteman M, Kubera K, Calhoun V, Reith W, Wolf R, Sambataro F. The risk of cannabis use disorder is mediated by altered brain connectivity: A chronnectome study. Addiction Biology 2024, 29: e13395. PMID: 38709211, PMCID: PMC11072977, DOI: 10.1111/adb.13395.Peer-Reviewed Original ResearchConceptsRisk of cannabis use disorderCannabis use disorderDynamic functional connectivityFunctional connectivityUse disorderTreatment of cannabis use disorderAt-risk individualsResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingCannabis-related problemsDefault-mode networkPatterns of FCCognitive-controlCUDIT-RBrain mechanismsSubcortical functionBrain networksSelf-screening questionnaireBrain connectivityBrain functionSensory-motorNeurostimulation treatmentsMagnetic resonance imagingBrainCluster statesDynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions
Boehm I, Mennigen E, Geisler D, Poller N, Gramatke K, Calhoun V, Roessner V, King J, Ehrlich S. Dynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions. Journal Of Child Psychology And Psychiatry 2024, 65: 1299-1310. PMID: 38480007, DOI: 10.1111/jcpp.13970.Peer-Reviewed Original ResearchConceptsAnorexia nervosaFunctional connectivityResting state functional connectivityResting-state functional MRI dataInternalizing mental disordersAssociated with preoccupationOnset of anorexia nervosaFunctional MRI dataFemale healthy controlsHealthy controlsDynamic functional connectivityDynamics of functional connectivityTemporal dynamics of functional connectivityFunctional connectivity statesMental disordersStatic analytical approachesGroup differencesNervosaFractional timeMRI dataAdolescentsConnectivity statesFemale patientsClinical featuresTemporal dynamics
2023
Theta oscillatory dynamics serving cognitive control index psychosocial distress in youth
Schantell M, Taylor B, Mansouri A, Arif Y, Coutant A, Rice D, Wang Y, Calhoun V, Stephen J, Wilson T. Theta oscillatory dynamics serving cognitive control index psychosocial distress in youth. Neurobiology Of Stress 2023, 29: 100599. PMID: 38213830, PMCID: PMC10776433, DOI: 10.1016/j.ynstr.2023.100599.Peer-Reviewed Original ResearchMiddle cingulate cortexCognitive controlNIHTB-EBNational Institute of Mental Health's Research Domain Criteria (RDoC) frameworkResearch Domain Criteria (RDoC) frameworkLeft dorsolateral prefrontal cortexNIH Toolbox emotion batteryCognitive interference effectCognitive control processesEriksen flanker taskDorsolateral prefrontal cortexOscillatory theta activityPsychosocial distressDistress indexDynamic functional connectivityExploratory factor analysisPediatric psychopathologyFlanker taskPrefrontal cortexEmotion BatteryCingulate cortexCognitive interferenceFunctional connectivityDLPFCTheta oscillationsRapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior
Benisty H, Barson D, Moberly A, Lohani S, Tang L, Coifman R, Crair M, Mishne G, Cardin J, Higley M. Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior. Nature Neuroscience 2023, 27: 148-158. PMID: 38036743, PMCID: PMC11316935, DOI: 10.1038/s41593-023-01498-y.Peer-Reviewed Original ResearchConceptsFunctional connectivitySpontaneous behaviorCortical networksCortical network activityTime-varying functional connectivityFunctional magnetic resonanceCerebral cortexAwake miceDynamic functional connectivityAwake animalsNeighboring neuronsPatterned activityDistinct behavioral statesTwo-photon microscopyNeural activityCortical signalsBehavioral statesCortexNetwork activityCortical dynamicsMagnetic resonanceAltered dynamic functional connectivity of the thalamus subregions in patients with schizophrenia
Yang W, Niu H, Jin Y, Cui J, Li M, Qiu Y, Lu D, Li G, Li J. Altered dynamic functional connectivity of the thalamus subregions in patients with schizophrenia. Journal Of Psychiatric Research 2023, 167: 86-92. PMID: 37862908, DOI: 10.1016/j.jpsychires.2023.09.021.Peer-Reviewed Original ResearchDynamic functional connectivityThalamus subregionsFunctional connectivityIncreased DFCPathophysiology of schizophreniaRight fusiform gyrusHealthy controlsThalamo-cortical circuitsFusiform gyrusSZ patientsNeuroimaging studiesSchizophreniaFrontal lobeThalamusVisual-related cortexCortexSubregionsBrainnetome atlasAssociated with ageClinical featuresDysconnectivityPatientsGyrusNeuroimagingSub-regions
2021
Neurogenetics of Dynamic Connectivity Patterns Associated With Obsessive-Compulsive Symptoms in Healthy Children
Suñol M, Alemany S, Bustamante M, Diez I, Contreras-Rodríguez O, Laudo B, Macià D, Martínez-Vilavella G, Martínez-Zalacaín I, Menchón J, Pujol J, Sunyer J, Sepulcre J, Soriano-Mas C. Neurogenetics of Dynamic Connectivity Patterns Associated With Obsessive-Compulsive Symptoms in Healthy Children. Biological Psychiatry Global Open Science 2021, 2: 411-420. PMID: 36324658, PMCID: PMC9616269, DOI: 10.1016/j.bpsgos.2021.11.009.Peer-Reviewed Original ResearchObsessive-compulsive symptomsDynamic functional connectivityObsessive-compulsive disorderBrain circuitsGlutamatergic neurotransmissionBrain regionsNeurobiological models of obsessive-compulsive disorderModels of obsessive-compulsive disorderObsessive Compulsive Inventory-Child VersionResting-state functional magnetic resonance imaging examinationObsessive–compulsive disorder samplesPatterns of dynamic functional connectivityRight superior parietal cortexAssociated with connectivity changesDynamic functional connectivity changesInvolvement of glutamatergic neurotransmissionLeft ventral putamenFunctional magnetic resonance imaging examinationSuperior parietal cortexStable connectivity patternsBrain network changesGraph theory-based approachNeurobiological modelsVentral putamenSymptom levels
2019
Multifractal and entropy analysis of resting-state electroencephalography reveals spatial organization in local dynamic functional connectivity
Racz F, Stylianou O, Mukli P, Eke A. Multifractal and entropy analysis of resting-state electroencephalography reveals spatial organization in local dynamic functional connectivity. Scientific Reports 2019, 9: 13474. PMID: 31530857, PMCID: PMC6748940, DOI: 10.1038/s41598-019-49726-5.Peer-Reviewed Original ResearchConceptsDynamic functional connectivityFunctional connectivityResting-state brain activityResting-state electroencephalography recordingsFuture clinical researchResting-state electroencephalographyResting-state conditionsFunctional network topologyRegion-specific differencesHealthy subjectsPotential biomarkersBrain regionsClinical researchTemporal regionsOccipital regionBrain activityElectroencephalography recordingsBrainDFC analysisBiomarkers
2018
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies
Fong AHC, Yoo K, Rosenberg MD, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM. Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. NeuroImage 2018, 188: 14-25. PMID: 30521950, PMCID: PMC6401236, DOI: 10.1016/j.neuroimage.2018.11.057.Peer-Reviewed Original ResearchConceptsAttention task performanceDynamic functional connectivityTask performanceIndividual differencesExecutive control brain networksFunctional connectivityFunctional brain scansAttention performanceTask conditionsAttention scoresBrain networksFMRI dataBrain regionsBetter attentionFC featuresFC matricesDFC matrixPearson's rAttentionIndividualsOne-subjectBrain scansConnectivityConnectomeCross-validation approachReading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia
Plis SM, Amin MF, Chekroud A, Hjelm D, Damaraju E, Lee HJ, Bustillo JR, Cho K, Pearlson GD, Calhoun VD. Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia. NeuroImage 2018, 181: 734-747. PMID: 30055372, PMCID: PMC6321628, DOI: 10.1016/j.neuroimage.2018.07.047.Peer-Reviewed Original ResearchConceptsGray matter patternsIntrinsic connectivity networksPosterior cingulate cortexHealthy controlsDynamic functional connectivityStructural MRIFunctional MRIDFNC statesGray matter densitySignificant group differencesTemporal lobeTemporal cortexCingulate cortexSame brainFunctional connectivityBrain structuresCognitive scoresStrong associationLinkage/associationMultimodal brain imaging dataImaging dataGroup differencesSignificant correlationSMRI dataCortex
2016
Epicenters of dynamic connectivity in the adaptation of the ventral visual system
Prčkovska V, Huijbers W, Schultz A, Ortiz‐Teran L, Peña‐Gomez C, Villoslada P, Johnson K, Sperling R, Sepulcre J. Epicenters of dynamic connectivity in the adaptation of the ventral visual system. Human Brain Mapping 2016, 38: 1965-1976. PMID: 28029725, PMCID: PMC5342908, DOI: 10.1002/hbm.23497.Peer-Reviewed Original ResearchConceptsFunctional connectivityReorganization of functional connectivityVentral visual systemDynamic functional connectivityCognitive processing areasRepetition paradigmBrain systemsRepetition-suppressionAssociation cortexSynchrony changesConnectivity changesGraph theory methodsPrimary visual areaSensory stimuliConnectivity reorganizationVisual areasNeuronal responsesProcessing areasCortexDistant connectionsEnhanced synchronyBrain
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