2016
Brain responses to biological motion predict treatment outcome in young children with autism
Yang D, Pelphrey KA, Sukhodolsky DG, Crowley MJ, Dayan E, Dvornek NC, Venkataraman A, Duncan J, Staib L, Ventola P. Brain responses to biological motion predict treatment outcome in young children with autism. Translational Psychiatry 2016, 6: e948-e948. PMID: 27845779, PMCID: PMC5314125, DOI: 10.1038/tp.2016.213.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderYoung childrenSocial information processingMultivariate pattern analysisMotivation/rewardBiological motionCore deficitComplex neurodevelopmental disorderBrain responsesResponse treatmentSpectrum disorderNeurobiological markersNeural predictorsInformation processingBehavioral interventionsIndividual childrenNeurodevelopmental disordersCurrent findingsNeural circuitsBehavioral deficitsEarly childhoodChildrenUnsuccessful interventionsNeurobiomarkersPattern 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