2024
A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data
Li W, Lin Q, Zhang C, Han Y, Calhoun V. A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data. Frontiers In Neuroscience 2024, 18: 1423014. PMID: 39050665, PMCID: PMC11266018, DOI: 10.3389/fnins.2024.1423014.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFMRI dataBrain regionsAnatomical Automatic LabelingTransfer entropyFunctional magnetic resonance imaging dataConnectivity of brain regionsFrontal-parietal regionsConsistent with previous findingsSignificant group differencesRight frontal-parietal regionPartial transfer entropyPredicting mental disordersMental disordersParietal regionsGroup differencesMagnitude effectExperimental fMRI dataDirectional connectivityComplex-valued fMRI dataSchizophreniaMagnetic resonance imagingComplex-valued approachEntropyMagnitude dataThe dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity
Wiafe S, Faghiri A, Fu Z, Miller R, Preda A, Calhoun V. The dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity. Imaging Neuroscience 2024, 2: 1-23. DOI: 10.1162/imag_a_00187.Peer-Reviewed Original ResearchDynamic time warpingDynamics of brain networksBrain networksBrain network interactionsFunctional magnetic resonance imagingFunctional connectivity measuresComplexity of brain functionDiverse timescalesTime warpingBrain dynamicsVisual cortexFunctional magnetic resonance imaging dataTimescalesFunctional connectivityBrain connectivityCoupled stretchingCouplingDynamic time warping methodBrain regionsTransient couplingConnectivity measuresFunctional connectivity metricsNeuroimaging researchCluster centroidsIntricate dynamicsDifferences in the neural correlates of schizophrenia with positive and negative formal thought disorder in patients with schizophrenia in the ENIGMA dataset
Sharkey R, Bacon C, Peterson Z, Rootes-Murdy K, Salvador R, Pomarol-Clotet E, Karuk A, Homan P, Ji E, Omlor W, Homan S, Georgiadis F, Kaiser S, Kirschner M, Ehrlich S, Dannlowski U, Grotegerd D, Goltermann J, Meinert S, Kircher T, Stein F, Brosch K, Krug A, Nenadic I, Sim K, Spalletta G, Banaj N, Sponheim S, Demro C, Ramsay I, King M, Quidé Y, Green M, Nguyen D, Preda A, Calhoun V, Turner J, van Erp T, Nickl-Jockschat T. Differences in the neural correlates of schizophrenia with positive and negative formal thought disorder in patients with schizophrenia in the ENIGMA dataset. Molecular Psychiatry 2024, 1-11. PMID: 38671214, DOI: 10.1038/s41380-024-02563-z.Peer-Reviewed Original ResearchNegative FTDBrain structural changesPositive FTDSymptom dimensionsBrain regionsENIGMA Schizophrenia Working GroupNegative formal thought disorderNeural correlates of schizophreniaRegional brain volume lossFormal thought disorderSchizophrenia Working GroupCorrelates of schizophreniaLateral temporal cortexBrain volume lossThought disorderNeurobiological underpinningsNeural correlatesNeuroimaging studiesTemporal cortexSchizophreniaCortical regionsCortical thicknessCellular underpinningsFTDMulti-site cohortComplexity Measures of Psychotic Brain Activity In The FMRI Signal
Li Q, Seraji M, Calhoun V, Iraji A. Complexity Measures of Psychotic Brain Activity In The FMRI Signal. 2024, 00: 9-12. DOI: 10.1109/ssiai59505.2024.10508702.Peer-Reviewed Original ResearchBrain activityPsychotic brainBrain regionsFunctional connectivityCharacteristics of psychiatric disordersAtypical brain activityNeural activity patternsFuzzy recurrence plotsPsychiatric disordersFMRI signalsComplexity measuresRecurrence plotsActivity patternsBrainEntropySample entropyFMRIImage analysisNonlinear dynamical systemsBetter with age: Developmental changes in oscillatory activity during verbal working memory encoding and maintenance
Killanin A, Ward T, Embury C, Calhoun V, Wang Y, Stephen J, Picci G, Heinrichs-Graham E, Wilson T. Better with age: Developmental changes in oscillatory activity during verbal working memory encoding and maintenance. Developmental Cognitive Neuroscience 2024, 66: 101354. PMID: 38330526, PMCID: PMC10864839, DOI: 10.1016/j.dcn.2024.101354.Peer-Reviewed Original ResearchWorking memory encodingMemory encodingLeft hemisphere language regionsSternberg verbal working memory taskVerbal working memory taskRight superior temporal regionOlder participantsWorking memory taskWorking memory developmentSuperior temporal regionsSignificant oscillatory responsesWhole-brain mappingDevelopmental effectsMemory taskWorking memoryOscillatory responsesLanguage regionsBrain regionsMemory developmentOscillatory dynamicsTheta powerParticipants aged 6Whole-brainTemporal regionsDevelopmental changes
2023
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links
Fedorov A, Geenjaar E, Wu L, Sylvain T, DeRamus T, Luck M, Misiura M, Mittapalle G, Hjelm R, Plis S, Calhoun V. Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 2023, 285: 120485. PMID: 38110045, PMCID: PMC10872501, DOI: 10.1016/j.neuroimage.2023.120485.Peer-Reviewed Original ResearchConceptsBrain regionsMultimodal neuroimaging dataNeuroimaging dataBrain disordersComplex brain disordersMRI dataNeuroimaging researchGroup inferencesDeep InfoMaxSupervised modelsDiagnostic labelsDisordersBrainState-of-the-art unsupervised methodsAlzheimer's phenotypeNovel self-supervised frameworkSelf-supervised frameworkSelf-supervised methodologyCanonical correlation analysisSelf-supervised representationsState-of-the-artDeep learning approachSingle-modal dataMultimode linksComplex brainsPairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics
Ellis C, Miller R, Calhoun V. Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics. Neuroimage Reports 2023, 3: 100186. DOI: 10.1016/j.ynirp.2023.100186.Peer-Reviewed Original ResearchEffect of schizophreniaDynamic functional network connectivityBrain network dynamicsNeuropsychiatric disordersBrain activityFunctional magnetic resonance imagingInteractions of brain regionsFunctional network connectivityNetwork dynamicsBrain regionsSchizophreniaClustering algorithmEffect of SZHealthy controlsLearning classificationBrainMagnetic resonance imagingDeep learning modelsDeep learning classificationDisordersNetwork interactionsMachine learning classificationResonance imagingClustersNovel measuresDevelopmental alterations in the neural oscillatory dynamics underlying attentional reorienting
Picci G, Ott L, Petro N, Casagrande C, Killanin A, Rice D, Coutant A, Arif Y, Embury C, Okelberry H, Johnson H, Springer S, Pulliam H, Wang Y, Calhoun V, Stephen J, Heinrichs-Graham E, Taylor B, Wilson T. Developmental alterations in the neural oscillatory dynamics underlying attentional reorienting. Developmental Cognitive Neuroscience 2023, 63: 101288. PMID: 37567094, PMCID: PMC10432959, DOI: 10.1016/j.dcn.2023.101288.Peer-Reviewed Original ResearchConceptsAllocation of attentionBrain regionsFlexible allocation of attentionNetwork of brain regionsProtracted developmental coursePrefrontal brain regionsBrain-behavior associationsFronto-parietal networkHigher-order visual regionsNetwork of regionsAge-related improvementsTheta oscillatory activitySignificant oscillatory responsesNeural oscillatory dynamicsAttentional reorientingBehavioral performanceDevelopmental improvementCognitive processesDevelopmental courseHealthy youthTheta oscillationsVisual regionsMagnetoencephalography dataFunction of ageFlexible allocationDevelopmental differences in functional organization of multispectral networks
Petro N, Picci G, Embury C, Ott L, Penhale S, Rempe M, Johnson H, Willett M, Wang Y, Stephen J, Calhoun V, Doucet G, Wilson T. Developmental differences in functional organization of multispectral networks. Cerebral Cortex 2023, 33: 9175-9185. PMID: 37279931, PMCID: PMC10505424, DOI: 10.1093/cercor/bhad193.Peer-Reviewed Original ResearchConceptsSpontaneous cortical activityPhase coherenceImaginary partFunctional magnetic resonance imaging measuresConsistent with previous workFunctional brain organizationLimbic cortical regionsFunctional organizationBrain connectivityFunction of increasing ageEyes-closed restGamma bandSpectral specificityConnectivity matrixBrain regionsCanonical deltaBrain organizationBrain activityFunctional connectivityDevelopmental differencesBandCortical regionsCanonical networksCortical activityMagnetic resonance imaging measures