2024
Infant Social Attention Associated with Elevated Likelihood for Autism Spectrum Disorder: A Multi-Method Comparison
Fu X, Platt E, Shic F, Bradshaw J. Infant Social Attention Associated with Elevated Likelihood for Autism Spectrum Disorder: A Multi-Method Comparison. Journal Of Autism And Developmental Disorders 2024, 1-13. PMID: 38678515, DOI: 10.1007/s10803-024-06360-z.Peer-Reviewed Original ResearchMeasures of attentionAutism spectrum disorderEye trackingEL infantsAtypical social attentionAnalysis of attentionNonsocial attentionSatisfactory success rateNonsocial informationMonths of ageAge-related changesSpectrum disorderGroup differencesSocial attentionAttention patternsFamilial likelihoodGaze allocationElevated likelihoodInfantsEarly markersLongitudinal studyInfant ageManual codingMulti-method comparisonSuccess rateSimilar Gap-Overlap Profiles in Children with Fragile X Syndrome and IQ-Matched Autism
Wall C, Shic F, Will E, Wang Q, Roberts J. Similar Gap-Overlap Profiles in Children with Fragile X Syndrome and IQ-Matched Autism. Journal Of Autism And Developmental Disorders 2024, 1-13. PMID: 38246961, PMCID: PMC11260273, DOI: 10.1007/s10803-024-06245-1.Peer-Reviewed Original ResearchAttention-deficit/hyperactivity disorderAutism spectrum disorderIntellectual abilityVisual attentionFXS groupX syndromeReaction timeControl of visual attentionGap-overlap paradigmElevated ADHD symptomsAge-matched neurotypical controlsAtypical visual attentionFragile X syndromeSaccadic reaction timesSevere cognitive impairmentIQ-matchedNeurocognitive processesADHD symptomsAttention-deficit/hyperactivityASD groupASD symptomsAttentional differencesNeurotypical controlsModerate to severe cognitive impairmentSpectrum disorder
2023
The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC‐CT) feasibility study
Shic F, Barney E, Naples A, Dommer K, Chang S, Li B, McAllister T, Atyabi A, Wang Q, Bernier R, Dawson G, Dziura J, Faja S, Jeste S, Murias M, Johnson S, Sabatos‐DeVito M, Helleman G, Senturk D, Sugar C, Webb S, McPartland J, Chawarska K, Trials T. The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC‐CT) feasibility study. Autism Research 2023, 16: 2150-2159. PMID: 37749934, PMCID: PMC11003770, DOI: 10.1002/aur.3026.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderSocial attention taskSchool-aged childrenAttention taskASD groupSpectrum disorderEye-tracking taskTotal T-scoreAttentional patternsAutism spectrumTD groupPresentation timeTrial feasibility studyGroup differencesPercent of timeOlder childrenTaskComparison groupToddlersT-scoreChildrenChildren 4Outcome variablesFaceCondition effectsComparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking
Hochhauser M, Dommer K, Atyabi A, Li B, Ahn Y, Aubertine M, Kim M, Corrigan S, Pelphrey K, Shic F. Comparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking. 2023, 1-3. DOI: 10.1145/3588015.3590126.Peer-Reviewed Original ResearchAutism spectrum disorderNon-biological motionLocal motion cuesAttentional biasesBiological motionTD childrenDevelopmental advancesSpectrum disorderMotion cuesEye movementsOlder childrenChildrenPotential avenuesYounger groupFigure headBiasesMethodological analysisAutismCuesAge groupsDisordersAttentionDisplayLarge-scale Investigations of AAC Usage Patterns: Trends, Autism, and Stacked Autoencoders
Atyabi A, Boccanfuso L, Snider J, Kim M, Barney E, Ahn Y, Li B, Dommer K, Shic F. Large-scale Investigations of AAC Usage Patterns: Trends, Autism, and Stacked Autoencoders. 2023, 00: 851-859. DOI: 10.1109/ccwc57344.2023.10099096.Peer-Reviewed Original ResearchAutism spectrum disorderAAC appSpeech-generating deviceUsage patternsLearning methodsDeep learning methodsStreams of dataUnsupervised learning methodIndividual usage patternsData modeling perspectiveNon-speech communicationData streamsData scienceStacked AutoencoderClassification accuracyModeling mechanismSpectrum disorderLanguage learningAlternative communication applicationPattern modelingAppsNumeric valuesFreeSpeechCommunication applicationsWealth of informationStratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths
Atyabi A, Shic F, Jiang J, Foster C, Barney E, Kim M, Li B, Ventola P, Chen C. Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. ACM Transactions On Knowledge Discovery From Data 2023, 17: 1-20. DOI: 10.1145/3539226.Peer-Reviewed Original ResearchAutism spectrum disorderEye gaze patternsSocial referencingSpectrum disorderTemporal informationTheory of mindEye gaze featuresEye-tracking dataEye gaze dataConvolutional neural networkRaw eye-tracking dataSocial attentionTD groupTypical developmentVideo stimuliSocial impairmentGaze patternsEye movementsNaturalistic studyDeep learning modelsScan pathScanpathsMeaningful variationChildrenLearning model
2022
Distinct social attention profiles in preschoolers with autism contrasted to fragile X syndrome
Wall C, Shic F, Varanasi S, Roberts J. Distinct social attention profiles in preschoolers with autism contrasted to fragile X syndrome. Autism Research 2022, 16: 340-354. PMID: 36408848, PMCID: PMC9957831, DOI: 10.1002/aur.2857.Peer-Reviewed Original ResearchConceptsNon-syndromic autism spectrum disorderAttention profilesSocial attentionSocial anxietyEye contactFacial attentionASD severityFragile X syndromeSocial attention deficitsReduced eye contactCross-syndrome approachAutism spectrum disorderCo-occurring diagnosesAttention difficultiesNT childrenAttention deficitsSocial avoidanceSpectrum disorderX syndromePreschool childrenCritical skillsAnxietyIntellectual disabilityIntellectual impairmentChildrenCalibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking
Li B, Snider J, Wang Q, Mehta S, Foster C, Barney E, Shapiro L, Ventola P, Shic F. Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. 2022, 1-7. DOI: 10.1145/3517031.3529634.Peer-Reviewed Original Research
2021
Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers
Mason L, Shic F, Falck-Ytter T, Chakrabarti B, Charman T, Loth E, Tillmann J, Banaschewski T, Baron-Cohen S, Bölte S, Buitelaar J, Durston S, Oranje B, Persico A, Beckmann C, Bougeron T, Dell’Acqua F, Ecker C, Moessnang C, Murphy D, Johnson M, Jones E. Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers. Molecular Autism 2021, 12: 74. PMID: 34911565, PMCID: PMC8672507, DOI: 10.1186/s13229-021-00476-0.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderBiological motion preferenceBiological motionASD groupNeurotypical participantsMotion preferencesSocial-communicative symptomsSocial-communicative skillsBiological motion stimuliSocial brain functionSocial brain regionsLow-IQ individualsLow average IQNeurocognitive mechanismsAutistic differencesIndividual differencesMotion stimuliControl stimuliLater symptomatologySpectrum disorderAverage IQCommunicative skillsVisual preferenceSocial autismControl participantsLearning Oculomotor Behaviors from Scanpath
Li B, Nuechterlein N, Barney E, Foster C, Kim M, Mahony M, Atyabi A, Feng L, Wang Q, Ventola P, Shapiro L, Shic F. Learning Oculomotor Behaviors from Scanpath. 2021, 407-415. DOI: 10.1145/3462244.3479923.Peer-Reviewed Original ResearchEye-tracking applicationsOculomotor behaviorAutism spectrum disorderEye-tracking dataPre-trained modelsLarge model sizeSemi-supervised tasksContrastive learning taskSpectrum disorderLearning taskClassification taskBaseline approachesDownstream tasksPredictive codingFixation identificationRich representationTraining datasetModel sizeVariety of applicationsTaskScanpathsFramework modelAblation experimentsNovel methodBetter results
2020
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism
Li B, Barney E, Hudac C, Nuechterlein N, Ventola P, Shapiro L, Shic F. Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. 2020, 1-8. DOI: 10.1145/3379155.3391334.Peer-Reviewed Original ResearchAutism spectrum disorderEye trackingDifferent stimulus presentationsStimulus presentationIndividual stimuliSpectrum disorderExperimental stimuliExperimental paradigmLevel of stimulusGroup discriminationStimuliPsychiatric conditionsIndividual variablesNeural networkOutcome variablesAutismWordsVariablesIntentionDiagnostic processLarge-scale effortsParadigmChildrenNumber of variablesDiscrimination
2019
P.507 Visual activity monitoring and social attention in autism spectrum disorder: effect of context and age
Kaliukhovich D, Manyakov N, Bangerter A, Ness S, Skalkin A, Boice M, Shic F, Pandina G. P.507 Visual activity monitoring and social attention in autism spectrum disorder: effect of context and age. European Neuropsychopharmacology 2019, 29: s357-s358. DOI: 10.1016/j.euroneuro.2019.09.513.Peer-Reviewed Original ResearchA Facial Affect Analysis System for Autism Spectrum Disorder
Li B, Mehta S, Aneja D, Foster C, Ventola P, Shic F, Shapiro L. A Facial Affect Analysis System for Autism Spectrum Disorder. 2019, 00: 4549-4553. DOI: 10.1109/icip.2019.8803604.Peer-Reviewed Original Research
2017
An Exploratory Analysis Targeting Diagnostic Classification of AAC App Usage Patterns
Atyabi A, Li B, Ahn Y, Kim M, Barney E, Shic F. An Exploratory Analysis Targeting Diagnostic Classification of AAC App Usage Patterns. 2017, 1633-1640. DOI: 10.1109/ijcnn.2017.7966047.Peer-Reviewed Original ResearchAutism spectrum disorderSpeech-generating deviceFeature representationAAC appUsage patternsData mining perspectiveStreams of dataApp usage patternsAlternative communication (AAC) appData modelling techniquesIndividual usage patternsSupport vector machineMassive streamsData miningMining perspectiveData streamsEnsemble learningAbove chanceSpectrum disorderLearning methodsVector machineLanguage learningEveryday scenariosUsage profilesPrediction performance
2016
P.1.c.012 A multi-center, observational study to explore the relationship between exploratory biomarkers and functional dimensions in adults with autistic spectrum disorders
Del Valle Rubido M, Hollander E, McCracken J, Shic F, Noeldeke J, Boak L, Khwaja O, Sadikhov S, Fontoura P, Umbricht D. P.1.c.012 A multi-center, observational study to explore the relationship between exploratory biomarkers and functional dimensions in adults with autistic spectrum disorders. European Neuropsychopharmacology 2016, 26: s193. DOI: 10.1016/s0924-977x(16)31031-8.Peer-Reviewed Original ResearchEmotional Robot to Examine Different Play Patterns and Affective Responses of Children with and Without ASD
Boccanfuso L, Barnev E, Foster C, Ahn Y, Chawarska K, Scassellati B, Shic F. Emotional Robot to Examine Different Play Patterns and Affective Responses of Children with and Without ASD. 2016, 19-26. DOI: 10.1109/hri.2016.7451729.Peer-Reviewed Original ResearchAutism spectrum disorderChild-robot interactionAutism Diagnostic Observation ScheduleAffective responsesAutism severitySpectrum disorderAffective responsivityAutism symptomsEmotional robotsEmotion statesObservation ScheduleGroup differencesYoung childrenPlay patternsSocial activitiesChildrenDevelopmental abilityDisordersRobotStimuliAbilityPlaySymptomsUnique abilityResponsivity
2015
Brief Report: A Mobile Application to Treat Prosodic Deficits in Autism Spectrum Disorder and Other Communication Impairments: A Pilot Study
Simmons ES, Paul R, Shic F. Brief Report: A Mobile Application to Treat Prosodic Deficits in Autism Spectrum Disorder and Other Communication Impairments: A Pilot Study. Journal Of Autism And Developmental Disorders 2015, 46: 320-327. PMID: 26329637, DOI: 10.1007/s10803-015-2573-8.Peer-Reviewed Original ResearchConceptsSpeech-language pathologistsStudent engagement dataPost-treatment speech samplesEducation settingsPublic schoolsProsodic disordersEngagement dataStudentsEngagement ratingsMobile applicationsAutism spectrum disorderCommunication impairmentsProsody deficitsSpectrum disorderSchoolsPilot studyFeedbackRatingsProsodic deficitsChildrenASDInteractive eye tracking for gaze strategy modification
Wang Q, Celebi F, Flink L, Greco G, Wall C, Prince E, Lansiquot S, Chawarska K, Kim E, Boccanfuso L, DiNicola L, Shic F. Interactive eye tracking for gaze strategy modification. 2015, 247-250. DOI: 10.1145/2771839.2771888.Peer-Reviewed Original ResearchAutism spectrum disorderEye trackingAtypical visual attentionPost-training sessionsYoung childrenNeuropsychiatric conditionsNormative control groupAttentional biasesVisual attentionNeuropsychological processesSpectrum disorderSocial informationNormative groupVideo participantsViewer's attentionSensitive outcome measuresToddlersTraining systemChildrenLearning opportunitiesTypical fashionAttentionStrategy modificationOutcome measuresBiasesComputer-Assisted Face Processing Instruction Improves Emotion Recognition, Mentalizing, and Social Skills in Students with ASD
Rice LM, Wall CA, Fogel A, Shic F. Computer-Assisted Face Processing Instruction Improves Emotion Recognition, Mentalizing, and Social Skills in Students with ASD. Journal Of Autism And Developmental Disorders 2015, 45: 2176-2186. PMID: 25694364, DOI: 10.1007/s10803-015-2380-2.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderSocial skillsSchool-aged childrenAffect recognitionFace processing skillsFacial recognition skillsSocial skills interventionsSocial skills domainComputer-based interventionsJoint attentionRecognition skillsEmotion recognitionSkills interventionEye gazeSpectrum disorderProcessing instructionMentalizingSkillsEducational criteriaRandomized control trialInterventionChildrenRecognitionControl trialStudentsPotential Clinical Impact of Positive Affect in Robot Interactions for Autism Intervention
Kim E, Daniell C, Makar C, Elia J, Scassellati B, Shic F. Potential Clinical Impact of Positive Affect in Robot Interactions for Autism Intervention. 2015, 8-13. DOI: 10.1109/acii.2015.7344544.Peer-Reviewed Original ResearchPositive affectAutism interventionRobot interactionGreater autism severityLower nonverbal IQAutism spectrum disorderSchool-aged childrenEnjoyment of activitiesNonverbal IQAutism severityAffect domainSpectrum disorderTriadic interactionsLarge group studiesConversational interactionAffectRobot supportInteractive technologiesInterventionChildrenIQAutismEnjoymentGroup studyRobot