2018
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI
Li X, Dvornek NC, Zhuang J, Ventola P, Duncan JS. Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. Lecture Notes In Computer Science 2018, 11072: 206-214. PMID: 32984865, PMCID: PMC7519581, DOI: 10.1007/978-3-030-00931-1_24.Peer-Reviewed Original ResearchDeep neural networksFunctional magnetic resonance imagingBrain functional magnetic resonance imagingAutism spectrum disorderComputer visionDeep learningDNN classifierMagnetic resonance imagingCorrupt imagesNeural networkSaliency featuresClassification scenariosNeurological functionControl subjectsComplex neurodevelopmental disorderEarly diagnosisComputational decisionReliable biomarkersResonance imagingBiomarker interpretationBiomarkersDetected biomarkersNeurodevelopmental disordersBrain featuresClassifier
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