2024
A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia
Blair D, Miller R, Calhoun V. A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia. Entropy 2024, 26: 545. PMID: 39056908, PMCID: PMC11275472, DOI: 10.3390/e26070545.Peer-Reviewed Original ResearchSubjective trajectoriesBrain connectivity measuresPatient’s brain functionCognitive performancePsychiatric diseasesCourse of developmentBrain functionInformation theoryCortical hierarchyInformation processingConnectivity measuresSchizophreniaHealthy controlsDynamical systems theoryFunctional imagingTransit alterationsTransitionConnectivity statesPerspective of dynamical systemsStateTheoryEntropy generationDynamical systemsDynamicsNeuroimagingA 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 ResearchLearning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition
Belyaeva I, Gabrielson B, Wang Y, Wilson T, Calhoun V, Stephen J, Adali T. Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. IEEE Transactions On Biomedical Engineering 2024, 71: 2189-2200. PMID: 38345949, PMCID: PMC11240882, DOI: 10.1109/tbme.2024.3364704.Peer-Reviewed Original ResearchSpatiotemporal brain dynamicsBrain dynamicsFunctional magnetic resonance imagingComplex spatiotemporal dynamicsStudy brain functionSpatial resolutionMillisecond scaleBrain functionTemporal resolutionBrain patternsHigh-level cognitive functionsBrain response patternsDynamicsSpatiotemporal dynamicsSensory processing pathwaysMagnetoencephalographyLow-performing subjectsResolutionA Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age
Saha R, Saha D, Rahaman A, Fu Z, Liu J, Calhoun V. A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connectivity 2024, 14: 130-140. PMID: 38308475, PMCID: PMC10954605, DOI: 10.1089/brain.2023.0040.Peer-Reviewed Original ResearchFunctional network connectivityFunctional connectivityPsychiatric problemsFunctional network connectivity matricesNetwork connectivityMultivariate patternsWhole-brain functional networksIntrinsic functional connectivityPattern of functional changesBrain functional connectivityIntrinsic functional relationshipLongitudinal changesAdolescent brainAge-related changesBrain networksStudy developmental changesScanning sessionBrain functionAssociated with longitudinal changesCognitive scoresDevelopmental changesBrain developmentFunctional changesCognitionLongitudinal change patterns
2023
Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia
Han Y, Lin Q, Kuang L, Hao Y, Li W, Gong X, Calhoun V. Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia. Communications In Computer And Information Science 2023, 1963: 518-527. DOI: 10.1007/978-981-99-8138-0_41.Peer-Reviewed Original ResearchAmplitude of low frequency fluctuationsFMRI dataLow frequency fluctuationsSchizophrenia groupHealthy controlsMulti-subject fMRI dataInferior parietal lobuleProperties of brain functionParietal lobuleFMRI-dataMental disordersSchizophreniaBrain functionActivity differencesFrequency fluctuationsTwo-sample t-testSliding-window techniqueTucker decompositionREGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS
Yang H, Gabrielson B, Calhoun V, Adali T. REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS. 2023, 00: 1443-1447. DOI: 10.1109/ieeeconf59524.2023.10476796.Peer-Reviewed Original ResearchMultimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain
Saha R, Saha D, Fu Z, Silva R, Calhoun V. Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. 2023, 00: 1-5. DOI: 10.1109/bhi58575.2023.10313489.Peer-Reviewed Original ResearchFunctional network connectivityAdolescent brainPotential gender-related differencesBilateral sensorimotor cortexStructural magnetic resonance imagingMagnetic resonance imagingBrain functional connectivityGender-related differencesSensorimotor cortexLongitudinal change patternsGrey matter dataResonance imagingJoint independent component analysisLongitudinal changesFunctional connectivityBrain developmentBrain functionEntire brainBrain connectivityBrain connectionsBrain analysisBrainSensorimotor domainModalitiesSMRI dataA Multivariate Method for Estimating and comparing whole brain functional connectomes from fMRI and PET data
Saha D, Bohsali A, Saha R, Hajjar I, Calhoun V. A Multivariate Method for Estimating and comparing whole brain functional connectomes from fMRI and PET data. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38083351, DOI: 10.1109/embc40787.2023.10340631.Peer-Reviewed Original ResearchConceptsWhole-brain functional connectomePositron emission tomographyResting fMRIResting fMRI dataBrain positron emission tomographyBrain functional connectomePositron emission tomography dataResting networksMagnetic resonance imagingConnectomeFunctional connectomeBrain networksConnectome patternsFMRIFMRI dataBrain functionSubject expressionPiB-PET scansBrainEmission tomographySpatial mappingSpatial networksClinical Relevance-This studyPET scansResonance imagingTopological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia
Salman M, Iraji A, Lewis N, Calhoun V. Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia. 2023, 00: 1-5. DOI: 10.1109/isbi53787.2023.10230513.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingSchizophrenia patientsIntrinsic connectivity networksFMRI dataIndependent component analysisResting-state fMRI studiesAnalysis of fMRI dataSpatial independent component analysisHuman brain functionDynamic brain networksFMRI studyBrain networksBrain functionAberrant behaviorBrain disordersBrain statesSchizophreniaConnectivity networksMagnetic resonance imagingMulti-subject fMRI dataData-driven analysisResonance imagingDynamics of controlSpatial activityDisorders