2021
BrainGNN: 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 ResearchMeSH KeywordsAutism Spectrum DisorderBrainConnectomeHumansMagnetic Resonance ImagingNeural Networks, ComputerConceptsFunctional 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
2015
An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism
Venkataraman A, Duncan JS, Yang D, Pelphrey KA. An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism. NeuroImage Clinical 2015, 8: 356-366. PMID: 26106561, PMCID: PMC4474177, DOI: 10.1016/j.nicl.2015.04.021.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderAutism Brain Imaging Data ExchangeSuperior temporal sulcusMiddle temporal gyrusTemporal sulcusTemporal gyrusRight posterior superior temporal sulcusPosterior superior temporal sulcusFunctional magnetic resonance imaging studyFunctional connectomicsTemporo-parietal junctionResting-state functional magnetic resonance imaging studyRight temporal poleIntrinsic functional networksDefault mode networkPossible neural mechanismsPosterior cingulate cortexMeta-analytic databaseIntra-hemispheric connectivityInter-hemispheric connectivityMagnetic resonance imaging studyASD patientsResonance imaging studyNeural mechanismsSpectrum disorder