2024
Beyond Artifacts: Rethinking Motion-Related Signals in Resting-State fMRI Analysis
Kumar S, Kinsey S, Jensen K, Bajracharya P, Calhoun V, Iraji A. Beyond Artifacts: Rethinking Motion-Related Signals in Resting-State fMRI Analysis. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40040138, DOI: 10.1109/embc53108.2024.10782518.Peer-Reviewed Original ResearchConceptsFunctional network connectivityBOLD time seriesImpact of head motionHead motion dataLarge-scale brain networksIntrinsic brain functional connectivityResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingFunctional brain connectivityResting-state fMRI analysisRsfMRI dataBOLD fMRIHead motionBrain functional connectivityHealthy controlsBOLD signalBrain connectivityBrain networksMotion dataFMRI analysisFunctional connectivityClinical populationsMotion-related signalsClinical implicationsBOLDMultiband Group Independent Component Analysis: Unveiling Frequency-Dependent Dynamics of Functional Connectivity in Group-Level fMRI Analyses
Behzadfar N, Iraji A, Calhoun V. Multiband Group Independent Component Analysis: Unveiling Frequency-Dependent Dynamics of Functional Connectivity in Group-Level fMRI Analyses. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-5. PMID: 40040173, DOI: 10.1109/embc53108.2024.10782601.Peer-Reviewed Original ResearchConceptsIndependent component analysisTask-related componentsDynamics of functional connectivitySubband informationGroup independent component analysisMultisubject fMRI dataFunctional network connectivityFMRI dataNetwork connectivityBandpass filterSampling rateSubbandBack-reconstructionApplication of bandpass filtersSpatially independent mapsFrequency rangeFunctional connectivityFMRI 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 ResearchConceptsFunctional 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 patternEdge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention
Jones H, Yoo K, Chun M, Rosenberg M. Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention. Journal Of Neuroscience 2024, 44: e1543232024. PMID: 38316565, PMCID: PMC10993033, DOI: 10.1523/jneurosci.1543-23.2024.Peer-Reviewed Original ResearchMoment-to-moment fluctuationsFMRI functional connectivityFMRI analysisProcessing of task-relevant informationSustained attention taskTask-based fMRITask-relevant informationDynamic FC approachParametric fMRI analysisField of network neuroscienceTraditional fMRI analysisNeural underpinningsAttention taskSustained attentionIndividual differencesCognitive processesTask eventsFunctional connectivityNetwork neuroscienceRegions-of-interestGeneralized linear modelAttentional stateFMRI datasetsYoung adultsIndividual's ability
2023
REGRESSION-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 Research
2022
Neural effects of controllability as a key dimension of stress exposure
Cohodes EM, Odriozola P, Mandell JD, Caballero C, McCauley S, Zacharek SJ, Hodges HR, Haberman JT, Smith M, Thomas J, Meisner OC, Ellis CT, Hartley CA, Gee DG. Neural effects of controllability as a key dimension of stress exposure. Development And Psychopathology 2022, 35: 218-227. PMID: 35034670, DOI: 10.1017/s0954579421001498.Peer-Reviewed Original ResearchConceptsDorsal anterior insulaRight dorsal anterior insulaUncontrollable stress conditionUncontrollable stressStress exposureSex-matched participantsStressor controllabilityInitial exposureFunctional magnetic resonance imaging (fMRI) acquisitionSubsequent stress exposureNeural effectsAnterior insulaYoung adultsSubsequent stressorsPatterns of activityCross-species evidenceNeural correlatesSubsequent exposureExposureNeural underpinningsPresent studyParticipantsMagnetic resonance imaging (MRI) acquisitionAdaptive responseFMRI analysis
2021
Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics
Salvan P, Lazari A, Vidaurre D, Mandino F, Johansen-Berg H, Grandjean J. Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics. Cell Reports 2021, 37: 109954. PMID: 34731612, PMCID: PMC8609366, DOI: 10.1016/j.celrep.2021.109954.Peer-Reviewed Original ResearchConceptsBrain-wide dynamicsFrequency-dependent fashionEntorhinal cortex dysfunctionHuman neuroimaging studiesBasic neuronal mechanismsEntorhinal cortex activityExcitatory neuronsTransgenic modelStimulation frequencyCortex activityFMRI fluctuationsNeuronal mechanismsAnatomical circuitsNeuroimaging studiesNeural activityNeuronal spikingCognitive diseasesFMRI analysisDysfunctionModulationDiseaseMiceNeuronsActivityBrainBrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
Li X, Zhou Y, Dvornek N, Zhang M, Gao S, Zhuang J, Scheinost D, Staib LH, Ventola P, Duncan JS. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Analysis 2021, 74: 102233. PMID: 34655865, PMCID: PMC9916535, DOI: 10.1016/j.media.2021.102233.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagesGraph neural network frameworkMedical image analysisGraph neural networkGraph convolutional layersNeural network frameworkDifferent evaluation metricsSpecific task statesIndependent fMRI datasetsPooling layerConvolutional layersConsistency lossNetwork frameworkNeural networkFMRI datasetsImage analysis methodEvaluation metricsDetection resultsBrain graphsSubjects releaseROI selectionImage analysisCognitive stimuliTask statesFMRI analysis
2018
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets
Dvornek NC, Yang D, Ventola P, Duncan JS. Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. Lecture Notes In Computer Science 2018, 11072: 329-337. PMID: 30873514, PMCID: PMC6411297, DOI: 10.1007/978-3-030-00931-1_38.Peer-Reviewed Original ResearchConceptsRecurrent neural networkNeural networkTask fMRI datasetsMedical image analysis problemsSuch deep networksImage analysis problemsTask fMRI scanTypical control subjectsDeep networkDeep learningTraining lossSmall datasetsLarge datasetsNumber of approachesAutism spectrum disorderAnalysis problemDatasetNetworkTraining runsImage analysisGeneralizable modelNon-imaging variablesSpectrum disorderFMRI analysisModel performance
2012
The temporal derivative of expected utility: A neural mechanism for dynamic decision-making
Zhang X, Hirsch J. The temporal derivative of expected utility: A neural mechanism for dynamic decision-making. NeuroImage 2012, 65: 223-230. PMID: 22963852, PMCID: PMC5841235, DOI: 10.1016/j.neuroimage.2012.08.063.Peer-Reviewed Original ResearchConceptsNeural mechanismsBehavioral dataHuman neural correlatesNovel experimental paradigmDistinct neural activitySuperior parietal lobulePosterior cingulate cortexReal-world tasksNeural correlatesFuture rewardsParietal lobuleExperimental paradigmFMRI analysisCingulate cortexNeural activityWorld tasksBrain regionsSupplementary motorCentral gyrusDynamic decision processIndependent manipulationContinuous decisionsDecision processVentral pallidumFMRI
2010
Functional Imaging of Cognitive Control During Acute Alcohol Intoxication
Anderson BM, Stevens MC, Meda SA, Jordan K, Calhoun VD, Pearlson GD. Functional Imaging of Cognitive Control During Acute Alcohol Intoxication. Alcohol Clinical And Experimental Research 2010, 35: 156-165. PMID: 20958334, PMCID: PMC3005103, DOI: 10.1111/j.1530-0277.2010.01332.x.Peer-Reviewed Original ResearchConceptsCognitive controlError processingBrain regionsAnterior cingulateFunctional magnetic resonance imaging (fMRI) taskFunctional MRILateral prefrontal cortexParietal brain regionsFalse alarm responsesBrain hemodynamic activityFalse alarm errorsParietal lobe regionsNeural basisBehavioral performancePrefrontal cortexFMRI analysisHemodynamic activityLobe regionsAcute alcohol intoxicationAlarm errorsAlcohol effectsReaction timeAlcohol intoxicationCingulateAlarm response
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