2024
Adolescent brain maturation associated with environmental factors: a multivariate analysis
Ray B, Jensen D, Suresh P, Thapaliya B, Sapkota R, Farahdel B, Fu Z, Chen J, Calhoun V, Liu J. Adolescent brain maturation associated with environmental factors: a multivariate analysis. Frontiers In Neuroimaging 2024, 3: 1390409. PMID: 39629197, PMCID: PMC11613425, DOI: 10.3389/fnimg.2024.1390409.Peer-Reviewed Original ResearchLeft medial orbitofrontal cortexReduced gray matter densityMedial orbitofrontal cortexMiddle temporal gyrusGray matter densityIncreased functional connectivityIncrease cognitive performanceSusceptible to environmental influencesBilateral occipital regionsDelayed brain maturationIncreased cortical thicknessOrbitofrontal cortexAdolescent brainHuman adolescentsTemporal gyrusBrain characteristicsCognitive performanceBrain regionsBrain age estimationBrain metricsFunctional connectivityBrain agingBrain maturationBrain variationBrain modalitiesFusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia
Jia C, Abu Baker Siddique Akhonda M, Yang H, Calhoun V, Adali T. Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia. 2015 23rd European Signal Processing Conference (EUSIPCO) 2024, 1112-1116. DOI: 10.23919/eusipco63174.2024.10715096.Peer-Reviewed Original ResearchFractional amplitude of low-frequency fluctuationAmplitude of low-frequency fluctuationResting-state functional magnetic resonanceCharacterization of schizophreniaFunctional magnetic resonanceBrain activity changesLow-frequency fluctuationsVisual cortexSchizophrenia patientsSchizophrenia NetworkBrain alterationsPsychiatric conditionsBrain regionsSchizophrenia biomarkersSchizophreniaFMRI featuresFractional amplitudeGroup differencesFMRI dataNeuroimaging analysisIndependent vector analysisActivity changesHealthy controlsBrainHigher-order statistical informationInterplay between preclinical indices of obesity and neural signatures of fluid intelligence in youth
Ward T, Schantell M, Dietz S, Ende G, Rice D, Coutant A, Arif Y, Wang Y, Calhoun V, Stephen J, Heinrichs-Graham E, Taylor B, Wilson T. Interplay between preclinical indices of obesity and neural signatures of fluid intelligence in youth. Communications Biology 2024, 7: 1285. PMID: 39379610, PMCID: PMC11461743, DOI: 10.1038/s42003-024-06924-w.Peer-Reviewed Original ResearchConceptsAbstract reasoning taskFluid intelligenceAbstract reasoningBrain regionsNeural activityReasoning tasksLeft dorsolateral prefrontal cortexLeft temporoparietal junctionDorsolateral prefrontal cortexHigher-order cognitionWhole-brain correlationHigh-density magnetoencephalographySignificant oscillatory responsesYouth aged 9Prefrontal cortexTemporoparietal junctionNeural signaturesTheta oscillationsResponse scaleWhole-brainNeurobehavioral functionNeural dynamicsAged 9CognitionReaction timeA 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 dataA Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development
Wang Y, Qiao C, Qu G, Calhoun V, Stephen J, Wilson T, Wang Y. A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. IEEE Transactions On Biomedical Engineering 2024, 71: 3390-3401. PMID: 38968024, DOI: 10.1109/tbme.2024.3423803.Peer-Reviewed Original ResearchDynamic effective connectivityEffective connectivityBrain developmentBrain developmental trajectoriesPhiladelphia Neurodevelopmental CohortLearning modelsNeurodevelopmental CohortBrain regionsDevelopmental trajectoriesSpatio-temporal dataInformation processing capabilitiesFuse informationCausal LearnerYoung adultsThe 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 dynamicsCapturing Stretching and Shrinking of Inter-Network Temporal Coupling in FMRI Via WARP Elasticity
Wiafe S, Faghiri A, Fu Z, Miller R, Calhoun V. Capturing Stretching and Shrinking of Inter-Network Temporal Coupling in FMRI Via WARP Elasticity. 2024, 00: 1-4. DOI: 10.1109/isbi56570.2024.10635377.Peer-Reviewed Original ResearchDifferences 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, 29: 3086-3096. PMID: 38671214, PMCID: PMC11449795, 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 cohortDevelopmentally sensitive multispectral cortical connectivity profiles serving visual selective attention
Son J, Killanin A, Arif Y, Johnson H, Okelberry H, Weyrich L, Wang Y, Calhoun V, Stephen J, Taylor B, Wilson T. Developmentally sensitive multispectral cortical connectivity profiles serving visual selective attention. Developmental Cognitive Neuroscience 2024, 66: 101371. PMID: 38582064, PMCID: PMC11004069, DOI: 10.1016/j.dcn.2024.101371.Peer-Reviewed Original ResearchBrain regionsConnectivity profilesSensitive to developmental changesWhole-brain connectivity analysisMultiple cognitive domainsVisual selective attentionOscillatory brain responsesNeural oscillatory dynamicsYouth aged 6Pubertal transition periodPrefrontal cortexExecutive functionTemporoparietal junctionCognitive domainsBrain responsesSelective attentionDevelopmental sensitivityAge-related changesConnectivity analysisPeak voxelsCortical connectivity profilesDevelopmental changesGamma rangeCerebellar cortexBrainComplexity 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