2024
Effects of endogenous testosterone on oscillatory activity during verbal working memory in youth
Killanin A, Ward T, Embury C, Calhoun V, Wang Y, Stephen J, Picci G, Heinrichs‐Graham E, Wilson T. Effects of endogenous testosterone on oscillatory activity during verbal working memory in youth. Human Brain Mapping 2024, 45: e26774. PMID: 38949599, PMCID: PMC11215982, DOI: 10.1002/hbm.26774.Peer-Reviewed Original ResearchConceptsVerbal working memoryVerbal working memory processingWorking memory processesWorking memoryEffects of chronological ageEndogenous testosterone levelsMemory processesOscillatory activitySternberg verbal working memory taskEffects of testosteroneLeft-lateralized language networkVerbal working memory taskAlpha oscillationsSalivary testosterone samplesWorking memory encodingWorking memory taskLeft temporal cortexRight cerebellar cortexNeural oscillatory activitySignificant oscillatory responsesNeural oscillatory dynamicsHuman brain structureCerebellar cortexYouth aged 6Chronological ageEstimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data
Li W, Lin Q, Zhang C, Han Y, Li H, Calhoun V. Estimation of complete mutual information exploiting nonlinear magnitude-phase dependence: Application to spatial FNC for complex-valued fMRI data. Journal Of Neuroscience Methods 2024, 409: 110207. PMID: 38944128, DOI: 10.1016/j.jneumeth.2024.110207.Peer-Reviewed Original ResearchConceptsComplex-valued fMRI dataMutual informationJoint entropyNetwork connectivityComplex-valued signalsFunctional network connectivityMagnitude-phase dependenceDensity estimation methodMI estimationHistogram-basedKernel density estimation methodFMRI dataEstimation accuracyProbability density functionJoint probability density functionSimulated signalsChain rulePhase dependenceEstimation methodHigh-orderDensity functionControl networkInaccurate estimationNonlinear dependenceDependenceA survey of brain functional network extraction methods using fMRI data
Du Y, Fang S, He X, Calhoun V. A survey of brain functional network extraction methods using fMRI data. Trends In Neurosciences 2024, 47: 608-621. PMID: 38906797, DOI: 10.1016/j.tins.2024.05.011.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingDeep LearningHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNerve NetSMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks
He X, Calhoun V, Du Y. SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks. Neuroscience Bulletin 2024, 40: 905-920. PMID: 38491231, DOI: 10.1007/s12264-024-01184-4.Peer-Reviewed Original ResearchConceptsIndependent component analysisFunctional magnetic resonance imagingClustering independent componentsFunctional networksIndependent component analysis methodMulti-subject fMRI dataIndependent componentsBrain functional networksFMRI dataSubject-specific functional networksFunctional magnetic resonance imaging dataOptimal model orderSmartComponent analysisA whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry
Jensen K, Calhoun V, Fu Z, Yang K, Faria A, Ishizuka K, Sawa A, Andrés-Camazón P, Coffman B, Seebold D, Turner J, Salisbury D, Iraji A. A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry. NeuroImage Clinical 2024, 41: 103584. PMID: 38422833, PMCID: PMC10944191, DOI: 10.1016/j.nicl.2024.103584.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingCerebellumHumansMagnetic Resonance ImagingPsychotic DisordersSchizophreniaConceptsFunctional network connectivityFirst-episodeEarly psychosisAberrant functional network connectivityResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingCorrelates of psychosisResting-state fMRI analysisWhole-brain approachPsychiatric disordersPsychiatric illnessSubcortical regionsCerebellar regionsFMRI analysisPsychosisControl participantsCognitive functionRs-fMRICerebellar connectivityMulti-site datasetFunctional circuitryMagnetic resonance imagingCircuitryResonance imagingProminent patternStriatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges
Jiang S, Pei H, Chen J, Li H, Liu Z, Wang Y, Gong J, Wang S, Li Q, Duan M, Calhoun V, Yao D, Luo C. Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges. International Journal Of Neural Systems 2024, 34: 2450017. PMID: 38372049, DOI: 10.1142/s0129065724500175.Peer-Reviewed Original ResearchConceptsSalience networkSensorimotor cortexFunctional magnetic resonance imaging dataModerating effectInterictal epileptic dischargesIdiopathic generalized epilepsyMagnetic resonance imaging dataInteraction of regionsDecreased connectivityStriatumDMNThalamocortical circuitsCortical interactionsSimultaneous electroencephalogramCortical targetsEpileptic dischargesCerebellumThalamusHierarchical connectionEpileptic networkNeuromodulation techniquesIndirect moderating effectStateCryptogenic etiologyIntra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer’s Disease and Cognitive Impairment
Kolla S, Falakshahi H, Abrol A, Fu Z, Calhoun V. Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer’s Disease and Cognitive Impairment. Sensors 2024, 24: 814. PMID: 38339531, PMCID: PMC10857295, DOI: 10.3390/s24030814.Peer-Reviewed Original ResearchMeSH KeywordsAlzheimer DiseaseBiomarkersBrainBrain MappingCognitive DysfunctionHumansMagnetic Resonance ImagingConceptsGraph metricsFunctional network connectivityIndependent component analysisResting state fMRI dataData-driven methodologyNetwork connectivityNovel metricFunctional nodesNode sizeNodesLocal graph metricsMetricsNode dimensionsGraphAlzheimer's diseaseMild cognitive impairmentNetwork neuroscienceNeuroimaging researchNeuroimaging investigationsRevealing complex functional topology brain network correspondences between humans and marmosets
Li Q, Calhoun V, Iraji A. Revealing complex functional topology brain network correspondences between humans and marmosets. Neuroscience Letters 2024, 822: 137624. PMID: 38218321, DOI: 10.1016/j.neulet.2024.137624.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrainBrain MappingCallithrixConnectomeHumansMagnetic Resonance ImagingNeural PathwaysConceptsWhole-brain functional connectivityFunctional brain connectivityDorsal attention networkFunctional connectivity patternsBrain connectivityMarmoset monkey brainBrain networksTopological characteristicsMode networkFunctional connectivityCognitive functionVisual networkNon-human primatesMonkey brainAttention networkConnectivity patternsNeural connectionsBrainFunctional correspondenceConnectome
2023
Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia
Li W, Lin Q, Zhao B, Kuang L, Zhang C, Han Y, Calhoun V. Dynamic functional network connectivity based on spatial source phase maps of complex-valued fMRI data: Application to schizophrenia. Journal Of Neuroscience Methods 2023, 403: 110049. PMID: 38151187, DOI: 10.1016/j.jneumeth.2023.110049.Peer-Reviewed Original ResearchConceptsSchizophrenia patientsFMRI dataFunctional network connectivityHealthy controlsDynamic functional network connectivityPsychotic diagnosesMental disordersSchizophreniaComplex-valued fMRI dataPotential imaging biomarkersDetect functional alterationsFMRIState transitionsNetwork connectivityPhase informationFunctional alterationsComplex valuesBrain informationMutual informationDynamicsPhaseDynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study
van der Horn H, de Koning M, Visser K, Kok M, Spikman J, Scheenen M, Renken R, Calhoun V, Vergara V, Cabral J, Mayer A, van der Naalt J. Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study. PLOS ONE 2023, 18: e0295984. PMID: 38100479, PMCID: PMC10723684, DOI: 10.1371/journal.pone.0295984.Peer-Reviewed Original ResearchConceptsMild traumatic brain injuryDynamic functional network connectivityTraumatic brain injurySymptom severityEmotional instabilityAssociated with lower symptom severityMild traumatic brain injury patientsHead Injury Symptom ChecklistHealthy controlsPatients relative to HCMaladaptive personality characteristicsDefault mode networkTract-based spatial statisticsLower symptom severityBrain injuryPosterior corona radiataFunctional network connectivityPost-injuryMonths post-injuryLow extraversionHigh neuroticismSuperordinate factorDiffusion MRINeural underpinningsPersonality dimensionsRevisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia
Harikumar A, Solovyeva K, Misiura M, Iraji A, Plis S, Pearlson G, Turner J, Calhoun V. Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia. Current Neurology And Neuroscience Reports 2023, 23: 937-946. PMID: 37999830, PMCID: PMC11126894, DOI: 10.1007/s11910-023-01325-8.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingHumansMagnetic Resonance ImagingNeural PathwaysNeurotransmitter AgentsSchizophreniaConceptsNetwork dysconnectivityFunctional dysconnectivityExecutive functioningState fMRI studyAttentional deficitsFMRI studyHypothesized modelSalience networkBrain networksConnectivity findingsBehavioral symptomsNeurodevelopmental modelSymptom severityDysconnectivityHypothesized mechanismsSchizophreniaDeficitsVital modelsSummaryThis paperMotor symptomsFunctioningSymptomsFindingsPurpose of ReviewOverThoughtdcSBM: A federated constrained source‐based morphometry approach for multivariate brain structure mapping
Saha D, Silva R, Baker B, Saha R, Calhoun V. dcSBM: A federated constrained source‐based morphometry approach for multivariate brain structure mapping. Human Brain Mapping 2023, 44: 5892-5905. PMID: 37837630, PMCID: PMC10619413, DOI: 10.1002/hbm.26483.Peer-Reviewed Original ResearchDenoising brain networks using a fixed mathematical phase change in independent component analysis of magnitude‐only fMRI data
Zhang C, Lin Q, Niu Y, Li W, Gong X, Cong F, Wang Y, Calhoun V. Denoising brain networks using a fixed mathematical phase change in independent component analysis of magnitude‐only fMRI data. Human Brain Mapping 2023, 44: 5712-5728. PMID: 37647216, PMCID: PMC10619417, DOI: 10.1002/hbm.26471.Peer-Reviewed Original ResearchConceptsComplex-valued dataComplex-valued fMRI dataBrain networksFMRI dataPhase informationHuman Connectome ProjectMapping frameworkMagnitude mapsExperimental fMRI dataConnectome ProjectPhase mapFMRI datasetsMagnitude dataDenoisingNetworkAmplitude thresholdComponent analysisPhase changePhaseSSP approachSpatial mappingFMRIUniversity of New MexicoThresholdDevelopmental 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 allocationHyperlocal Spatial Flows in BOLD fMRI Expose Novel Brain-Based Correlates of Schizophrenia
Miller R, Vergara V, Calhoun V. Hyperlocal Spatial Flows in BOLD fMRI Expose Novel Brain-Based Correlates of Schizophrenia. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38083298, DOI: 10.1109/embc40787.2023.10341101.Peer-Reviewed Original ResearchA Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis*
Ellis C, Miller R, Calhoun V. A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis*. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38083353, DOI: 10.1109/embc40787.2023.10340173.Peer-Reviewed Original ResearchHow Does Aging Affect Whole-brain Functional Network Connectivity? Evidence from An ICA Method
Du Y, Guo Y, Calhoun V. How Does Aging Affect Whole-brain Functional Network Connectivity? Evidence from An ICA Method. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38083384, DOI: 10.1109/embc40787.2023.10340189.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAgingBrainBrain MappingHumansMagnetic Resonance ImagingMiddle AgedNeural PathwaysNeuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations *
Ellis C, Miller R, Calhoun V. Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations *. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38083012, DOI: 10.1109/embc40787.2023.10340837.Peer-Reviewed Original ResearchConceptsDynamic functional network connectivityResting-state functional magnetic resonanceFunctional magnetic resonanceNeuropsychiatric disordersFunctional network connectivityCharacterization of schizophreniaCognitive controlDeep learning classifierContext of schizophreniaAuditory networkBrain activityBrain networksVisual networkSubcortical networksCerebellar networkDevelopmental 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 measuresGroup independent components underpin responses to items from a depression scale.
Stoyanov D, Khorev V, Paunova R, Kandilarova S, Kurkin S, Calhoun V. Group independent components underpin responses to items from a depression scale. Acta Neuropsychiatrica 2023, 36: 9-16. PMID: 37088536, DOI: 10.1017/neu.2023.22.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingDepressionDepressive Disorder, MajorFrontal LobeHumansMagnetic Resonance ImagingPrefrontal CortexConceptsFunctional magnetic resonance imagingGroup independent component analysisSelf-evaluation scaleFrontal gyrusCingulate cortexDepression ScaleRight superior frontal gyrusFunctional magnetic resonance imaging acquisitionHealthy controlsRight middle cingulate cortexAnterior cingulate cortexMiddle frontal gyrusSuperior frontal gyrusMiddle cingulate cortexIndependent component analysisGroup independent componentStatistical parametric mappingDepressive disorderDepressive episodeBrain circuitsBrain networksNeural network patternsDiagnostic conditionsParametric mappingGyrus