grant
Links between the neonatal connectome and dimensions of social development
NIHUS FederalResearch GrantFY20250-11 years oldASDAdoptedAffectAgeAge MonthsAlgorithmsAmygdalaAmygdaloid BodyAmygdaloid NucleusAmygdaloid structureAssessment instrumentAssessment toolAttentionAutismAutism diagnosticAutistic DisorderBehavioralBehavioral SymptomsBiological MarkersBirthBrainBrain Nervous SystemBrain imagingCell Communication and SignalingCell SignalingCharacteristicsChildChild YouthChildren (0-21)ClinicalComplementComplement ProteinsDataDevelopmentDiagnosisDimensionsEarly Infantile AutismEarly InterventionEarly identificationEncephalonFaceFamily Medical HistoryFamily Medical History EpidemiologyFamily history ofFamily memberFutureGeneral PopulationGeneral PublicGeneticHistoryInfantInfantile AutismInterviewIntracellular Communication and SignalingKanner's SyndromeLesionLinkMaintenanceMeasuresNeonatalOlder PopulationOutcomeOutcome MeasureParentsParietalParticipantParturitionPathogenicity FactorsPatternPhenotypeProcessPropertyPsychopathologyRecording of previous eventsRegulationReportingRestRiskRisk FactorsRoleSamplingSchool-Age PopulationSignal TransductionSignal Transduction SystemsSignalingSocial BehaviorSocial CharacteristicsSocial DevelopmentSocial NetworkSocial outcomeStandardizationSymptomsTestingToddlerVariantVariationVirulence Factorsabnormal psychologyagesallostasesallostasisamygdaloid nuclear complexautism diagnostic observation scheduleautism spectral disorderautism spectrum disorderautistic childrenautistic individualsautistic peopleautistic spectrum disorderbio-markersbiologic markerbiological signal transductionbiomarkerbrain basedbrain behaviorbrain visualizationchildren on the autism spectrumchildren with ASDchildren with autismchildren with autism spectrum disordercomplementationcomputer based predictionconnectomeconnectome based predictive modelingdevelopmentalearly childhoodeye trackingfacesfacialfetalhistoriesimprovedindividuals on the autism spectrumindividuals on the spectrumindividuals with ASDindividuals with autismindividuals with autism spectrum disorderinfancyinfantileinterestkidsmachine learning based methodmachine learning methodmachine learning methodologiesmeasurable outcomeneonateolder groupsolder individualsolder personoutcome measurementparentpeople on the autism spectrumpeople with ASDpeople with autismpeople with autism spectrum disorderpost-natal periodpostnatalpostnatal periodpredictive modelingprospectiveschool ageskillssocialsocial attachmentsocial attentionsocial bondingsocial engagementsocial involvementsocial participationsocial rolesociobehaviorsociobehavioralsupport networktheoriesvirtualvisual trackingyoungster
Description preview
ABSTRACT
Functional brain network characteristics reflect both genetic and environmental influences on brain
development during fetal and postnatal periods. Alterations in network characteristics signal the presence of
pathogenic factors and their potential mechanisms of action, which is crucial for the identification of processes
that enhance…
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