2024
11C-UCB-J PET imaging is consistent with lower synaptic density in autistic adults
Matuskey D, Yang Y, Naganawa M, Koohsari S, Toyonaga T, Gravel P, Pittman B, Torres K, Pisani L, Finn C, Cramer-Benjamin S, Herman N, Rosenthal L, Franke C, Walicki B, Esterlis I, Skosnik P, Radhakrishnan R, Wolf J, Nabulsi N, Ropchan J, Huang Y, Carson R, Naples A, McPartland J. 11C-UCB-J PET imaging is consistent with lower synaptic density in autistic adults. Molecular Psychiatry 2024, 1-7. PMID: 39367053, DOI: 10.1038/s41380-024-02776-2.Peer-Reviewed Original ResearchPositron emission tomographySynaptic densityAutistic adultsBrain regionsAutistic featuresClinical phenotype of autismNon-autistic participantsPhenotype of autismNon-autistic individualsRelationship to clinical characteristicsSynaptic vesicle glycoprotein 2AAssociated with clinical measuresPost-mortem studiesPositron emission tomography scanPrefrontal cortexClinician ratingsAutism groupNeural basisBrain areasNeural processesBetween-group differencesVolumetric differencesBinding potentialDensity of synapsesAutismClinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children.
Azu M, Han G, Wolf J, Naples A, Chawarska K, Dawson G, Bernier R, Jeste S, Dziura J, Webb S, Sugar C, Shic F, McPartland J. Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children. Autism 2024, 13623613241279999. PMID: 39344965, DOI: 10.1177/13623613241279999.Peer-Reviewed Original ResearchAutism-related behaviorsAutism featuresClinician ratingsParent ratingsInformant discrepanciesCaregiver ratingsCaregiver reportsAutism diagnosisAutistic childrenChild sexAutismCaregiver perceptionsIntervention useClinicians' perceptionsAssociated with sexCaregiversChildrenDiagnosis ageCliniciansOlder ageInterventionPerceptionGirlsSexAgeCentral and peripheral physiological responses to decision making in hoarding disorder
Levy H, Naples A, Collett S, McPartland J, Tolin D. Central and peripheral physiological responses to decision making in hoarding disorder. International Journal Of Psychophysiology 2024, 205: 112437. PMID: 39265723, PMCID: PMC11502253, DOI: 10.1016/j.ijpsycho.2024.112437.Peer-Reviewed Original ResearchError-related negativityHoarding disorderControl participantsAlpha asymmetryPsychophysiological responsesIncreased frontal negativityGo/No-Go taskHealthy control participantsDecision-making taskPeripheral nervous system activityResponse to decisionsAnxiety disordersFrontal negativityNeurobiological modelsGo taskNeutral taskPsychiatric diagnosisExcessive clutterPsychophysiological measuresPersonal possessionsExaggerated activationDisordersNull resultsNervous system activityTaskSpatiotemporal Eye Movement Dynamics Reveal Altered Face Prioritization in Early Visual Processing Among Autistic Children
Griffin J, Naples A, Bernier R, Chawarska K, Dawson G, Dziura J, Faja S, Jeste S, Kleinhans N, Sugar C, Webb S, Shic F, McPartland J, Trials A. Spatiotemporal Eye Movement Dynamics Reveal Altered Face Prioritization in Early Visual Processing Among Autistic Children. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024 PMID: 39237004, DOI: 10.1016/j.bpsc.2024.08.017.Peer-Reviewed Original ResearchReduced social attentionEye movement patternsSocial attentionVisual processingLongitudinal time pointsClinical features of autismContext of social perceptionAutism symptom severityFeatures of autismEarly visual processingWell-characterized sampleFace regionSymptom severityNeurotypical childrenAdaptive functioningExploratory patternsSocial difficultiesSocial perceptionAutismAutistic ChildrenFace informationTime pointsAssociated with clinical featuresFace recognitionDecreased likelihoodA common genetic variant in the Neurexin family member CNTNAP2 is related to language but not communication skills in youth with Autism Spectrum Disorder
Arutiunian V, Santhosh M, Neuhaus E, Sullivan C, Bernier R, Bookheimer S, Dapretto M, Geschwind D, Jack A, McPartland J, Van Horn J, Pelphrey K, Gupta A, Webb S, Network T. A common genetic variant in the Neurexin family member CNTNAP2 is related to language but not communication skills in youth with Autism Spectrum Disorder. Autism Research 2024 PMID: 38984666, DOI: 10.1002/aur.3193.Peer-Reviewed Original ResearchAutism spectrum disorderLanguage skillsCommunication abilitySpectrum disorderStructural language abilityStructural language skillsLow language skillsCommunication skillsMeasures of languageContactin-associated protein-like 2 geneYouth aged 7Verbal communication skillsCELF-4G allele homozygotesLanguage abilityLanguage variablesNon-verbal individualsVerbal youthLanguageNeurexin familyVineland-IICandidate genesGenomic DNAGenetic mechanismsGenetic variantsParsing evoked and induced gamma response differences in Autism: A visual evoked potential study
Dickinson A, Ryan D, McNaughton G, Levin A, Naples A, Borland H, Bernier R, Chawarska K, Dawson G, Dziura J, Faja S, Kleinhans N, Sugar C, Senturk D, Shic F, Webb S, McPartland J, Jeste S, Trials F. Parsing evoked and induced gamma response differences in Autism: A visual evoked potential study. Clinical Neurophysiology 2024, 165: 55-63. PMID: 38959536, DOI: 10.1016/j.clinph.2024.05.015.Peer-Reviewed Original ResearchVisual evoked potentialsMeasurement of visual evoked potentialsGamma powerVisual evoked potential studiesABC-CTGamma responseAutism Biomarkers ConsortiumAbsence of significant group differencesChildren aged 6Group differencesNon-phase-lockedEvoked potentialsVEP componentsVEP dataAged 6Biomarkers ConsortiumNeural circuit dynamicsGamma activitySignificant group differencesIndividual markersTargeted approachWavelet-based time-frequency analysisInduced responsesChildrenInduced gammaModeling intra‐individual inter‐trial EEG response variability in autism
Dong M, Telesca D, Guindani M, Sugar C, Webb S, Jeste S, Dickinson A, Levin A, Shic F, Naples A, Faja S, Dawson G, McPartland J, Şentürk D. Modeling intra‐individual inter‐trial EEG response variability in autism. Statistics In Medicine 2024, 43: 3239-3263. PMID: 38822707, DOI: 10.1002/sim.10131.Peer-Reviewed Original ResearchThe relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives
Arutiunian V, Santhosh M, Neuhaus E, Borland H, Tompkins C, Bernier R, Bookheimer S, Dapretto M, Gupta A, Jack A, Jeste S, McPartland J, Naples A, Van Horn J, Pelphrey K, Webb S. The relationship between gamma-band neural oscillations and language skills in youth with Autism Spectrum Disorder and their first-degree relatives. Molecular Autism 2024, 15: 19. PMID: 38711098, PMCID: PMC11075235, DOI: 10.1186/s13229-024-00598-1.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderElevated gamma powerLow language skillsGamma powerResponses to speech stimuliLanguage skillsLanguage functionFirst-degree relativesSpectrum disorderClinical Evaluation of Language FundamentalsCo-occurring language impairmentSpeech stimuliCortical gamma-band oscillationsHigh gamma powerSex-balanced sampleGamma-band oscillationsSample of participantsNonverbal IQLanguage impairmentASD participantsTD controlsNeural profilesAutism phenotypeTD groupLanguage FundamentalsConduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder
Newman B, Jacokes Z, Venkadesh S, Webb S, Kleinhans N, McPartland J, Druzgal T, Pelphrey K, Van Horn J, Consortium F. Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder. PLOS ONE 2024, 19: e0301964. PMID: 38630783, PMCID: PMC11023574, DOI: 10.1371/journal.pone.0301964.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderSocial Communication QuestionnaireSpectrum disorderCharacteristics of autism spectrum disorderAssociated with higher scoresEtiology of autism spectrum disorderMagnetic resonance imagingNeurotypical participantsWhite matter skeletonCommunication QuestionnaireBehavioral functionsFunctional connectivityT1w/T2w ratioNeuronal differencesStructural connectivityAdolescent participantsHigher scoresConduction velocityCortexExtracellular waterDisordersResonance imagingDiffusion MRI techniquesAutism Spectrum Disorder in Adolescents and Adults: An Introduction
Volkmar F, Reichow B, McPartland J. Autism Spectrum Disorder in Adolescents and Adults: An Introduction. 2024, 1-16. DOI: 10.1007/978-3-031-46463-8_1.Peer-Reviewed Original ResearchAutistic Individuals Do Not Alter Visual Processing Strategy During Encoding Versus Recognition of Faces: A Hidden Markov Modeling Approach
Griffin J, Webb S, Keehn B, Dawson G, McPartland J. Autistic Individuals Do Not Alter Visual Processing Strategy During Encoding Versus Recognition of Faces: A Hidden Markov Modeling Approach. Journal Of Autism And Developmental Disorders 2024, 1-10. PMID: 38430386, DOI: 10.1007/s10803-024-06259-9.Peer-Reviewed Original ResearchVisual processing strategiesAutistic individualsRecognition of facesEye movement patternsProcessing strategiesEye movementsEfficient face processingDynamics of eye movementsFace processingNT peersSource of difficultyRecognition phaseExploratory strategyMarkov modeling approachConclusionThese findingsEncodingIndividualsHidden Markov Model approachFaceAdolescentsRecognitionParticipantsPeerSupport vector machine prediction of individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact
Zhang X, Noah J, Singh R, McPartland J, Hirsch J. Support vector machine prediction of individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact. Scientific Reports 2024, 14: 3232. PMID: 38332184, PMCID: PMC10853508, DOI: 10.1038/s41598-024-53942-z.Peer-Reviewed Original ResearchConceptsAutism Diagnostic Observation ScheduleAutism spectrum disorderAutism Diagnostic Observation Schedule scoresEye-to-eye contactSocial difficultiesNeural processesNeural responsesObservation ScheduleSymptoms of autism spectrum disorderBehavioural symptoms of autism spectrum disorderNeural activity patternsLive interaction paradigmTD groupSupport vector machineNeural mechanismsSymptom severityADOS scoresBehavioral symptomsSpectrum disorderASD diagnosisNeural dataActivity patternsAutismClassification methodMultivariate classification methods
2023
Constrained Multivariate Functional Principal Components Analysis for Novel Outcomes in Eye-Tracking Experiments
Kwan B, Sugar C, Qian Q, Shic F, Naples A, Johnson S, Webb S, Jeste S, Faja S, Levin A, Dawson G, McPartland J, Şentürk D. Constrained Multivariate Functional Principal Components Analysis for Novel Outcomes in Eye-Tracking Experiments. Statistics In Biosciences 2023, 1-26. DOI: 10.1007/s12561-023-09399-1.Peer-Reviewed Original ResearchOn the relation between interoceptive attention and health anxiety: Distinguishing adaptive and maladaptive bodily awareness
Trevisan D, Tsheringla S, McPartland J. On the relation between interoceptive attention and health anxiety: Distinguishing adaptive and maladaptive bodily awareness. Cogent Psychology 2023, 10: 2262855. DOI: 10.1080/23311908.2023.2262855.Peer-Reviewed Original ResearchInteroceptive attentionHealth anxietyMeasures of worryLower interoceptive accuracyIllness anxiety disorderHierarchical multiple regressionSeries of questionnairesInteroceptive accuracyEmotional constructsInteroceptive mechanismsAnxiety disordersAnxietyOpposite patternCommon measuresMultiple regressionDifferent measuresAttentionMeasuresOnline survey toolAlexithymiaRegression analysisWorryParticipantsCorrelatesConstructsInvestigating the Face Inversion Effect in Autism Across Behavioral and Neural Measures of Face Processing
Griffin J, Azu M, Cramer-Benjamin S, Franke C, Herman N, Iqbal R, Keifer C, Rosenthal L, McPartland J. Investigating the Face Inversion Effect in Autism Across Behavioral and Neural Measures of Face Processing. JAMA Psychiatry 2023, 80: 1026-1036. PMID: 37405787, PMCID: PMC10323765, DOI: 10.1001/jamapsychiatry.2023.2105.Peer-Reviewed Original ResearchFace processing systemFace inversion effectAutism spectrum disorderInversion effectFace processingNeurotypical sampleAutistic individualsEffect sizeHuman social cognitionPerformance differencesFace recognition taskPerformance-based measuresSocial cognitionNeural measuresNeurotypical individualsPsychological constructsNeural responsesSpectrum disorderElectrophysiological measuresRecognition taskBrain functioningBehavioral paradigmsRecognition demandsIdentity recognitionNeural systemsFrontal EEG alpha asymmetry in youth with autism: Sex differences and social–emotional correlates
Neuhaus E, Santhosh M, Kresse A, Aylward E, Bernier R, Bookheimer S, Jeste S, Jack A, McPartland J, Naples A, Van Horn J, Pelphrey K, Webb S, Network A. Frontal EEG alpha asymmetry in youth with autism: Sex differences and social–emotional correlates. Autism Research 2023, 16: 2364-2377. PMID: 37776030, PMCID: PMC10840952, DOI: 10.1002/aur.3032.Peer-Reviewed Original ResearchConceptsAutistic youthFrontal alpha powerMaternal depression historyIndividual differencesExternalizing behaviorsAlpha powerFrontal EEG alpha asymmetrySocial-emotional correlatesDepression historyEEG alpha asymmetryMental health behaviorsModel of riskAffective styleAutism featuresInternalizing symptomsASD diagnosisAlpha asymmetryAutistic femalesBehavioral indicesLevels of analysisAutistic malesEEG markersGroup differencesParticipant groupsASDThe 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 effectsAuthor Correction: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis
Jourdon A, Wu F, Mariani J, Capauto D, Norton S, Tomasini L, Amiri A, Suvakov M, Schreiner J, Jang Y, Panda A, Nguyen C, Cummings E, Han G, Powell K, Szekely A, McPartland J, Pelphrey K, Chawarska K, Ventola P, Abyzov A, Vaccarino F. Author Correction: Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis. Nature Neuroscience 2023, 26: 2035-2035. PMID: 37674007, DOI: 10.1038/s41593-023-01447-9.Peer-Reviewed Original ResearchDevelopment of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children
Finn C, Han G, Naples A, Wolf J, McPartland J. Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children. Autism Research 2023, 16: 2077-2089. PMID: 37638733, DOI: 10.1002/aur.3017.Peer-Reviewed Original ResearchConceptsPeak alpha frequencyAutism spectrum disorderCognitive abilitiesAutistic childrenNonverbal IQNeural maturationSpectrum disorderTypical age-related increaseAlpha frequencyDifferent developmental trajectoriesDistinct trajectoriesSample of childrenCurrent study clarifiesDiagnostic groupsNeurotypical childrenNeurotypical controlsBehavioral measuresDevelopmental trajectoriesDiagnostic statusAge-related increaseFunction of ageIQEffect of ageBivariate relationsPrevious findingsModeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis
Jourdon A, Wu F, Mariani J, Capauto D, Norton S, Tomasini L, Amiri A, Suvakov M, Schreiner J, Jang Y, Panda A, Nguyen C, Cummings E, Han G, Powell K, Szekely A, McPartland J, Pelphrey K, Chawarska K, Ventola P, Abyzov A, Vaccarino F. Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis. Nature Neuroscience 2023, 26: 1505-1515. PMID: 37563294, PMCID: PMC10573709, DOI: 10.1038/s41593-023-01399-0.Peer-Reviewed Original ResearchConceptsIdiopathic autism spectrum disorderCortical neuron subtypesAutism spectrum disorderEarly cortical developmentCortical organoidsCortical plateExcitatory neuronsCortical developmentRare formNeuron subtypesUnaffected fatherASD pathogenesisForebrain organoidsEarly neurogenesisRare variantsIdiopathic autismRisk genesTranscriptomic alterationsNeuronsProbandsSingle-cell transcriptomicsForebrain developmentSpectrum disorderTranscriptomic changesAlterations