2023
Automated diagnosis of autism with artificial intelligence: State of the art
Valizadeh A, Moassefi M, Nakhostin-Ansari A, Some’eh S, Hosseini-Asl H, Torbati M, Aghajani R, Ghorbani Z, Menbari-Oskouie I, Aghajani F, Mirzamohamadi A, Ghafouri M, Faghani S, Memari A. Automated diagnosis of autism with artificial intelligence: State of the art. Reviews In The Neurosciences 2023, 35: 141-163. PMID: 37678819, DOI: 10.1515/revneuro-2023-0050.Peer-Reviewed Original Research
2022
Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex
Jacokes Z, Jack A, Sullivan C, Aylward E, Bookheimer S, Dapretto M, Bernier R, Geschwind D, Sukhodolsky D, McPartland J, Webb S, Torgerson C, Eilbott J, Kenworthy L, Pelphrey K, Van Horn J, Consortium T, Ankenman K, Corrigan S, Depedro-Mercier D, Gaab N, Guilford D, Gupta A, Jeste S, Keifer C, Kresse A, Libsack E, Lowe J, MacDonnell E, McDonald N, Naples A, Nelson C, Neuhaus E, Ventola P, Welker O, Wolf J. Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex. Frontiers In Neuroscience 2022, 16: 1040085. PMID: 36466170, PMCID: PMC9709432, DOI: 10.3389/fnins.2022.1040085.Peer-Reviewed Original Research
2018
Clinical Features of Children With Autism Who Passed 18-Month Screening
Øien RA, Schjølberg S, Volkmar FR, Shic F, Cicchetti DV, Nordahl-Hansen A, Stenberg N, Hornig M, Havdahl A, Øyen AS, Ventola P, Susser ES, Eisemann MR, Chawarska K. Clinical Features of Children With Autism Who Passed 18-Month Screening. 2018, 141: e20173596. PMID: 29784756, DOI: 10.1542/peds.2017-3596.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderM-CHAT screeningMotor skillsDiagnosis of ASDLater ASD diagnosisFalse-negative groupSociability Temperament SurveyFine motor skillsTrue-negative groupScreen-negative casesASD diagnosisM-CHATModified ChecklistSpectrum disorderTemperamental profilesTemperament SurveyEarly delayParental reportsExhibit delaysCritical itemsStages QuestionnaireAutismChildrenGirlsSkills
2017
Simulating interaction: Using gaze-contingent eye-tracking to measure the reward value of social signals in toddlers with and without autism
Vernetti A, Senju A, Charman T, Johnson MH, Gliga T, Team T. Simulating interaction: Using gaze-contingent eye-tracking to measure the reward value of social signals in toddlers with and without autism. Developmental Cognitive Neuroscience 2017, 29: 21-29. PMID: 28939027, PMCID: PMC6987892, DOI: 10.1016/j.dcn.2017.08.004.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderHR-ASD groupLow-risk controlsSocial interactionDiagnosis of ASDNaturalistic social interactionsLow familial riskSocial orientingSocial motivationASD diagnosisReward valueSocial signalsSpectrum disorderSocial videosAge 3Mechanical toysFamilial riskAge 2ToddlersPersonsOrientingAutismDifficultiesRewardMotivation
2015
Maternal use of acetaminophen during pregnancy and risk of autism spectrum disorders in childhood: A Danish national birth cohort study
Liew Z, Ritz B, Virk J, Olsen J. Maternal use of acetaminophen during pregnancy and risk of autism spectrum disorders in childhood: A Danish national birth cohort study. Autism Research 2015, 9: 951-958. PMID: 26688372, DOI: 10.1002/aur.1591.Peer-Reviewed Original ResearchMeSH KeywordsAcetaminophenAdultAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderChildChild, PreschoolCohort StudiesComorbidityDenmarkFemaleHumansInfantInfant, NewbornMalePregnancyPrenatal Exposure Delayed EffectsProportional Hazards ModelsProspective StudiesRiskStatistics as TopicConceptsRisk of ASDHyperkinetic symptomsAcetaminophen useHazard ratioDanish National Birth CohortCox proportional hazards modelHyperactive behavioral phenotypesAutism spectrum disorderEnd of followNational Birth CohortComputer-assisted telephone interviewsProportional hazards modelInfantile autismConfident intervalFever medicationPsychiatric RegistryPrenatal useProspective dataMaternal useHyperkinetic disorderAcetaminophen exposureFetal lifeHazards modelDiagnosis of ASDBirth cohort
2013
Chapter 8 Functional Magnetic Resonance Imaging as a Biomarker for the Diagnosis, Progression, and Treatment of Autistic Spectrum Disorders
Westphal A, Voos A, Pelphrey K. Chapter 8 Functional Magnetic Resonance Imaging as a Biomarker for the Diagnosis, Progression, and Treatment of Autistic Spectrum Disorders. 2013, 221-243. DOI: 10.1016/b978-0-12-386945-6.00008-1.Commentaries, Editorials and LettersFunctional magnetic resonance imagingMagnetic resonance imagingAutistic spectrum disorderResonance imagingCentral nervous system functionUse of fMRINervous system functionNeuroanatomical structuresNeurologic pathologySpectrum disorderClinical valueDiagnosis of ASDClinical phenotypeBrain functionNovel drugsTranslational toolClass of diseasesBrain imagingPsychopharmacological researchGenetic liabilityUnaffected individualsDiagnosisPathologyDisorders
2008
Language outcomes of toddlers with autism spectrum disorders: a two year follow‐up
Paul R, Chawarska K, Cicchetti D, Volkmar F. Language outcomes of toddlers with autism spectrum disorders: a two year follow‐up. Autism Research 2008, 1: 97-107. PMID: 19360656, PMCID: PMC2946084, DOI: 10.1002/aur.12.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderNonverbal IQLanguage outcomesSpectrum disorderEL outcomesDiagnosis of ASDJoint attention bidsExpressive language outcomesReceptive language scoresExpressive communication skillsNonverbal scoresLanguage scoresAutistic symptomsCognitive levelRepetitive behaviorsAge fourCommunication scoresNumber of soundsCommunication skillsSignificant predictionPlay schemesIQSecond yearStandard measuresOutcome group
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