2025
Infants’ Resting-State Functional Connectivity and Event-Related Potentials: A Multimodal Approach to Investigating the Neural Basis of Infant Novelty Detection
Kanel D, Morales S, Altman K, Richards J, Winkler A, Pine D, Fox N, Filippi C. Infants’ Resting-State Functional Connectivity and Event-Related Potentials: A Multimodal Approach to Investigating the Neural Basis of Infant Novelty Detection. Developmental Psychology 2025, 61: 1397-1411. PMID: 39760730, DOI: 10.1037/dev0001892.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingEvent-related potentialsEvent-related potential dataResting-state functional connectivityMismatch responsesFunctional connectivityRegions-of-interestRs-FCThree-stimulus auditory oddball taskResting-state functional magnetic resonance imagingFunctional magnetic resonance imaging dataSuperior parietal cortexPosterior cingulate cortexVentral attention networkSuperior parietal lobuleBilateral auditory corticesAuditory oddball taskNovelty detectionNovelty processingCingulate cortexNeural basisParietal lobuleNovel stimuliP3 responseSomatomotor networkPREDICTING DEPRESSED AND ELEVATED MOOD SYMPTOMATOLOGY IN BIPOLAR DISORDER USING BRAIN FUNCTIONAL CONNECTOMES
Sankar *, Shen X, Colic L, Goldman D, Villa L, Kim J, Pittman B, Scheinost D, Constable R, Blumberg H. PREDICTING DEPRESSED AND ELEVATED MOOD SYMPTOMATOLOGY IN BIPOLAR DISORDER USING BRAIN FUNCTIONAL CONNECTOMES. The International Journal Of Neuropsychopharmacology 2025, 28: i15-i15. PMCID: PMC11814904, DOI: 10.1093/ijnp/pyae059.027.Peer-Reviewed Original ResearchConnectome-based predictive modelingBipolar disorderMood symptomatologyMood symptomsFunctional connectomeYoung Mania Rating ScaleFunctional magnetic resonance imaging dataPredictors of functional impairmentEmotion processing taskMania Rating ScaleMood symptom severityMood symptom scoresBrain functional connectomeMagnetic resonance imaging dataBrain function disturbancesHamilton DepressionPredicting DepressionSymptom severityRating ScaleFunctional impairmentDisordersMoodSymptomatologyProcessing tasksDepressionDynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts
Wang L, Hu W, Dong F, Sheng C, Wu J, Han Y, Jiang J, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowski J, Toga A, Beckett L, Green R, Saykin A, Morris J, Shaw L, Khachaturian Z, Sorensen G, Kuller L, Raichle M, Paul S, Davies P, Fillit H, Hefti F, Holtzman D, Mesulam M, Potter W, Snyder P, Schwartz A, Montine T, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Jiminez G, Harvey D, Bernstein M, Thompson P, Schuff N, Borowski B, Gunter J, Senjem M, Vemuri P, Jones D, Kantarci K, Ward C, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Taylor-Reinwald L, Lee V, Korecka M, Figurski M, Crawford K, Neu S, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Thal L, Buckholtz N, Albert M, Frank R, Hsiao J, Kaye J, Quinn J, Lind B, Carter R, Dolen S, Schneider L, Pawluczyk S, Beccera M, Teodoro L, Spann B, Brewer J, Vanderswag H, Fleisher A, Heidebrink J, Lord J, Mason S, Albers C, Knopman D, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Bell K, Ances B, Carroll M, Leon S, Mintun M, Schneider S, Oliver A, Marson D, Griffith R, Clark D, Geldmacher D, Brockington J, Roberson E, Grossman H, Mitsis E, de Toledo-Morrell L, Shah R, Duara R, Varon D, Greig M, Roberts P, Onyike C, D’Agostino D, Kielb S, Galvin J, Cerbone B, Michel C, Rusinek H, de Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Wong T, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Sinha P, Oates E, Conrad G, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, McAdams-Ortiz C, Womack K, Mathews D, Quiceno M, Diaz-Arrastia R, King R, Weiner M, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Tingus K, Woo E, Silverman D, Lu P, Bartzokis G, Graff-Radford N, Parfitt F, Kendall T, Johnson H, Farlow M, Hake A, Matthews B, Herring S, Hunt C, van Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Hsiung G, Feldman H, Mudge B, Assaly M, Bernick C, Munic D, Kertesz A, Rogers J, Trost D, Kerwin D, Lipowski K, Wu C, Johnson N, Sadowsky C, Martinez W, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Frey M, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Sirrel S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Allard J, Lerner A, Ogrocki P, Hudson L, Fletcher E, Carmichae O, Olichney J, DeCarli C, Kittur S, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Preda A, Nguyen D, Tariot P, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Adeli A, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Santulli R, Kitzmiller T, Schwartz E, Sink K, Williamson J, Garg P, Watkins F, Ott B, Querfurth H, Tremont G, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J, Spicer K, Bachman D, Pasternak S, Rachinsky I, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Ponto L, Shim H, Smith K, Relkin N, Chaing G, Raudin L, Smith A, Fargher K, Raj B, Neylan T, Grafman J, Davis M, Morrison R, Hayes J, Finley S, Friedl K, Fleischman D, Arfanakis K, James O, Massoglia D, Fruehling J, Harding S, Peskind E, Petrie E, Li G, Yesavage J, Taylor J, Furst A. Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts. GeroScience 2025, 1-16. PMID: 39888585, DOI: 10.1007/s11357-025-01528-6.Peer-Reviewed Original ResearchSuperior frontal gyrusSubjective cognitive declineLeft superior frontal gyrusCognitive declineFrontal gyrusResting-state functional magnetic resonance imaging dataFunctional magnetic resonance imaging dataSusceptible to individual differencesLongitudinal resting-state functional magnetic resonance imaging dataLoss of functional connectivityDiagnosis of subjective cognitive declineBrain network dynamicsMagnetic resonance imaging dataRisk of cognitive declineAlzheimer's diseaseIndividual differencesFunctional connectivityCognitively normal controlsNeuroimaging biomarkersDPLFCGyrusScale scoreNormal controlsAb depositionCognitionFunctional and effective connectivity between reward and inhibitory control networks underlying subclinical binge eating.
Chen X, Li W, Luo Y, Liu Y, Xu X, Gao X, Chen H. Functional and effective connectivity between reward and inhibitory control networks underlying subclinical binge eating. The British Journal Of Psychiatry 2025, 1-14. PMID: 39834272, DOI: 10.1192/bjp.2024.212.Peer-Reviewed Original ResearchBinge eatingMaintenance of binge eatingFunctional magnetic resonance imaging dataExacerbate binge eatingExecutive control regionsInhibitory control networksDynamic causal modelingParametric empirical Bayes frameworkProximal risk factorsMagnetic resonance imaging dataGroup relative to controlsTrait impulsivityBrain rewardReward sensitivityCognitive controlRelative to controlsBinge eatersNeural indicesGo/NoGo taskNeural basisProblematic eatingEarly identification of individualsBetween-group differencesDisordered EatingInhibition control
2024
Associations between parental psychopathology and youth functional emotion regulation brain networks
Karl V, Beck D, Eilertsen E, Morawetz C, Wiker T, Aksnes E, Norbom L, Ferschmann L, MacSweeney N, Voldsbekk I, Andreassen O, Westlye L, Gee D, Engen H, Tamnes C. Associations between parental psychopathology and youth functional emotion regulation brain networks. Developmental Cognitive Neuroscience 2024, 70: 101476. PMID: 39541797, PMCID: PMC11609324, DOI: 10.1016/j.dcn.2024.101476.Peer-Reviewed Original ResearchParental psychopathologyYouth psychopathologyEmotion regulationAssociated with children's emotion regulationResting-state functional magnetic resonance imaging dataAdolescent Brain Cognitive Development StudyIntergenerational transmission of psychopathologyAssociated with lower connectivityFunctional magnetic resonance imaging dataTransmission of psychopathologyChildren's emotion regulationCognitive Development StudyMagnetic resonance imaging dataParental mental healthPFC networksPsychopathologyBrain networksParental internalizingMediation analysisCognitive aspectsMental healthConnectivity patternsIntergenerational transmissionNetwork connectivityYouthAssessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis
Belyaeva I, Wang Y, Wilson T, Calhoun V, Stephen J, Adali T. Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis. 2015 23rd European Signal Processing Conference (EUSIPCO) 2024, 1362-1366. DOI: 10.23919/eusipco63174.2024.10714926.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFunctional magnetic resonance imaging dataMultisensory integrationSensory stimuliEffect of multisensory integrationMultisensory integration effectsMultiple sensory stimuliBrain imaging modalitiesCognitive developmentBrain image analysisBrain developmental patternsSensory modalitiesBrain componentsLearning paradigmMagnetoencephalographyMagnetic resonance imagingBrainDevelopmental patternsStimuliMultiple sensesCanonical polyadic tensor decompositionMultimodal data fusion frameworkAdolescentsMultitask learning paradigmPolyadic tensor decompositionVolume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics
Nguyen N, Hou T, Amico E, Zheng J, Huang H, Kaplan A, Petri G, Goñi J, Kaufmann R, Zhao Y, Duong-Tran D, Shen L. Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. Lecture Notes In Computer Science 2024, 15003: 519-529. PMID: 39949393, PMCID: PMC11816146, DOI: 10.1007/978-3-031-72384-1_49.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingHigher-order propertiesHuman Connectome Project Young Adult datasetDistribution of cavitiesAperiodic dynamicsAperiodic activityFunctional magnetic resonance imaging dataFunctional connectomePairwise interactionsConnectomeSpatial distribution of cavitiesDynamic insightsTask-positive stateHomologous scaffoldsSpatial distributionStatePersistent homologyMagnetoencephalographyInduced connectionResting stateNeuroimaging modalitiesYoung Adult datasetCortical regionsDevelopmental Differences in a Hippocampal–Cingulate Pathway Involved in Learned Safety Following Interpersonal Trauma Exposure
Kribakaran S, DeCross S, Odriozola P, McLaughlin K, Gee D. Developmental Differences in a Hippocampal–Cingulate Pathway Involved in Learned Safety Following Interpersonal Trauma Exposure. Journal Of The American Academy Of Child & Adolescent Psychiatry 2024, 64: 835-850. PMID: 39368629, PMCID: PMC11965437, DOI: 10.1016/j.jaac.2024.07.928.Peer-Reviewed Original ResearchSafety signal learningInterpersonal trauma exposureTrauma exposureFunctional connectivityHippocampal activityNeural correlatesConditioned safetyFunctional magnetic resonance imaging dataAnterior hippocampal activationDevelopment of psychopathologyAnterior cingulate subregionsTask-based functional magnetic resonance imaging dataExploratory analysisMagnetic resonance imaging dataMental health sequelaeAmygdala activationAge-related associationsAnterior hippocampalContingency awarenessPTSD symptomsInhibit fearAttenuating fearCingulate subregionsSignal learningFear reductionData augmentation for schizophrenia diagnosis via vision transformer-based latent diffusion model
Yang Y, Ma S, Cao S, Jia S, Bi Y, Calhoun V. Data augmentation for schizophrenia diagnosis via vision transformer-based latent diffusion model. Proceedings Of SPIE--the International Society For Optical Engineering 2024, 13252: 1325214-1325214-7. DOI: 10.1117/12.3044654.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFunctional network connectivity matricesIndependent component analysisVision Transformer (ViTAdvanced artificial intelligence techniquesTraditional U-NetArtificial intelligence techniquesFunctional magnetic resonance imaging dataGroup independent component analysisNetwork connectivity matrixDenoising functionData augmentationImage generationIntelligence techniquesU-NetSmall datasetsDiagnosed schizophreniaSchizophrenia diagnosisGeneration taskNeuroimaging dataSchizophreniaComputational burdenConnectivity matrixMagnetic resonance imagingRelevant informationA 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 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 ResearchThe 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 dynamicsExploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles
Ji Y, Cai M, Zhou Y, Ma J, Zhang Y, Zhang Z, Zhao J, Wang Y, Jiang Y, Zhai Y, Xu J, Lei M, Xu Q, Liu H, Liu F. Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles. Schizophrenia 2024, 10: 37. PMID: 38491019, PMCID: PMC10943118, DOI: 10.1038/s41537-024-00457-1.Peer-Reviewed Original ResearchEigenvector centrality mappingFunctional dysconnectivityNeural processesResting-state functional magnetic resonance imaging dataFunctional magnetic resonance imaging dataMiddle temporal gyrusCentral mapMagnetic resonance imaging dataMental health disordersTemporal gyrusBrain regionsSchizophreniaFunctional connectivityDysconnectivityBilateral thalamusPotential genetic factorsGenetic factorsHealthy adult brainHealth disordersHealthy controlsAdult brainSynaptic signalingInvestigate alterationsDisordersReplication stageSMART (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, PMCID: PMC11637147, 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 Nearest Neighbor Propagation-Based Partial Label Learning Method for Identifying Biotypes of Psychiatric Disorders
Du Y, Li B, Niu J, Calhoun V. A Nearest Neighbor Propagation-Based Partial Label Learning Method for Identifying Biotypes of Psychiatric Disorders. IFMBE Proceedings 2024, 104: 301-308. DOI: 10.1007/978-3-031-51485-2_32.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingPsychiatric disordersSchizoaffective disorderFunctional connectivityFunctional magnetic resonance imaging dataDiagnosis of psychiatric disordersSchizoaffective disorder patientsBrain functional connectivityHealthy controlsIncrease diagnostic reliabilityBipolar disorderSZ patientsNeuroimaging measuresPartial label learning methodDisordersSchizophreniaMagnetic resonance imagingNeuroscience fieldValid informationLabel learningDiagnostic reliabilityLearning methodsResonance imagingPartial label learningExtract valid informationStriatum- 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 etiologyExplainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia
Ellis C, Miller R, Calhoun V. Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia. Frontiers In Psychiatry 2024, 15: 1165424. PMID: 38495909, PMCID: PMC10941842, DOI: 10.3389/fpsyt.2024.1165424.Peer-Reviewed Original ResearchHard clusteringNetwork dynamicsDynamic functional network connectivityFuzzy clustering frameworkExtract several featuresFuzzy clusteringC-meansExplainability approachesExplainability metricsData spaceClustering frameworkK-meansDynamic functional network connectivity stateNetwork connectivityModerate anticorrelationImage dataNetworkState dynamicsAnalysis frameworkConnectivity dynamicsFunctional network connectivityAnticorrelationCentroidFunctional magnetic resonance imaging dataFrameworkSex differences in the effects of individual anxiety state on regional responses to negative emotional scenes
Chaudhary S, Wong H, Chen Y, Zhang S, Li C. Sex differences in the effects of individual anxiety state on regional responses to negative emotional scenes. Biology Of Sex Differences 2024, 15: 15. PMID: 38351045, PMCID: PMC10863151, DOI: 10.1186/s13293-024-00591-6.Peer-Reviewed Original ResearchConceptsMedial prefrontal cortexState-Trait Anxiety InventoryFunctional magnetic resonance imagingState-Trait Anxiety Inventory scoresSuperior frontal gyrusGeneralized psychophysiological interactionEmotional processingFrontal gyrusLingual gyrusMedial prefrontal cortex connectivityMedial prefrontal cortex activationSex differencesRight inferior frontal gyrusResponse to negative emotionsRight superior frontal gyrusFunctional magnetic resonance imaging dataReaction timeImpact emotional processingNegative emotion processingInferior frontal gyrusLeft parahippocampal gyrusNegative emotional scenesMarkers of anxietyRepeated-measures analysis of covarianceLevels of anxiety
2023
A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data
Rokham H, Falakshahi H, Calhoun V. A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38082903, DOI: 10.1109/embc40787.2023.10339949.Peer-Reviewed Original ResearchConceptsStructural MRI dataResting-state functional MRI dataFunctional MRI dataFunctional magnetic resonance imaging dataMRI dataMagnetic resonance imaging dataSchizophrenia patientsFunctional connectivity featuresBrain imaging modalitiesMental disordersNeuroimaging dataNeuroimaging techniquesBorderline subjectsHealthy control groupSchizophrenia datasetSchizophreniaConnectivity featuresBrainPsychosisMoodNosologyControl groupDisordersLabel noiseSubjectsCoupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion
Borsoi R, Lehmann I, Akhonda M, Calhoun V, Usevich K, Brie D, Adali T. Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion. 2023, 00: 1-5. DOI: 10.1109/icassp49357.2023.10096241.Peer-Reviewed Original ResearchCP tensor decompositionTensor factorization approachDataset-specific featuresTensor-based frameworkPost-processing stepExtract featuresFunctional magnetic resonance imagingHyperparameter selectionTensor decompositionData fusionMulti-taskingDiscover componentsMultiple datasetsTaskCoupling matrixFunctional magnetic resonance imaging dataHyperparametersDatasetFeaturesGroup differencesFactor approachDecompositionFusion
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