2024
Whole genome sequencing study of identical twins discordant for psychosis
Ormond C, Ryan N, Hedman A, Cannon T, Sullivan P, Gill M, Hultman C, Heron E, Johansson V, Corvin A. Whole genome sequencing study of identical twins discordant for psychosis. Translational Psychiatry 2024, 14: 313. PMID: 39080272, PMCID: PMC11289105, DOI: 10.1038/s41398-024-02982-0.Peer-Reviewed Original ResearchConceptsCopy number variantsSequencing studiesGenic copy number variantsWhole-genome sequencing studiesRare genic copy number variantsDeleterious missense variantsWhole-genome sequencingExome sequencing studiesGenome sequencing studiesMZ twinsPost-zygotic eventsPairs of MZ twinsGenome sequenceIdentical genomesDNA variantsMissense variantsOverlapped genesPsychotic phenotypesPsychotic disordersBipolar disorderRare variantsMZ twin studiesPhenotypic discordanceTwin studiesTwin pairsInformation processing style and institutional trust as factors of COVID vaccine hesitancy
Zhao W, Russell C, Jankovsky A, Cannon T, Pittenger C, Pushkarskaya H. Information processing style and institutional trust as factors of COVID vaccine hesitancy. Scientific Reports 2024, 14: 10416. PMID: 38710827, PMCID: PMC11074285, DOI: 10.1038/s41598-024-60788-y.Peer-Reviewed Original ResearchConceptsInformation processing styleIndividual cognitive styleProcessing styleCognitive styleSelf-report measures of personalityMeasures of personalitySelf-report measuresInformation processing capacityPersonality traitsBehavioral tasksStructural equation modelingAuthoritarian submissionEquation modelingProcessing capacityStylePersonsComprehensive assessmentInformation processing capabilitiesPerceptionTrust levelProcessing capabilitiesMultifactorial natureSocio-demographic factorsClinical characteristicsTaskDoes recency of prodromal symptom onset or worsening matter for psychosis prediction?
Cannon T. Does recency of prodromal symptom onset or worsening matter for psychosis prediction? Early Intervention In Psychiatry 2024, 18: 273-274. PMID: 38586971, DOI: 10.1111/eip.13459.Peer-Reviewed Original ResearchThe Hierarchical Taxonomy of Psychopathology in Clinical High Risk for Psychosis: Validation and Extension
Williams T, Williams A, Cowan H, Walker E, Cannon T, Bearden C, Keshavan M, Cornblatt B, Addington J, Woods S, Perkins D, Mathalon D, Cadenhead K, Stone W, Mittal V. The Hierarchical Taxonomy of Psychopathology in Clinical High Risk for Psychosis: Validation and Extension. Journal Of Psychopathology And Clinical Science 2024, 133: 235-244. PMID: 38546628, PMCID: PMC11273326, DOI: 10.1037/abn0000893.Peer-Reviewed Original ResearchConceptsHierarchical Taxonomy of PsychopathologyTaxonomy of PsychopathologyClinical high riskHiTOP modelCHR-PChildhood traumaDimensional models of psychopathologyHierarchical taxonomyModels of psychopathologyAttenuated psychotic symptomsBipolar spectrum disordersObsessive-compulsive disorderCHR-P individualsConfirmatory factor analysisPsychotic symptomsPsychotic disordersComorbid diagnosesHiTOPSpectrum disorderPsychosisPsychopathologySocial functioningSelf-reportSpecific hypothesesTest specific hypotheses
2023
Conspiracy mentality, subclinical paranoia, and political conservatism are associated with perceived status threat
Koller W, Thompson H, Cannon T. Conspiracy mentality, subclinical paranoia, and political conservatism are associated with perceived status threat. PLOS ONE 2023, 18: e0293930. PMID: 37992025, PMCID: PMC10664880, DOI: 10.1371/journal.pone.0293930.Peer-Reviewed Original ResearchConceptsStatus threatSubclinical paranoiaPolitical conservatismConspiracy mentalityUnited States politicsState politicsAmerican politicsSocietal wellbeingPolitical affiliationPsychological facetsPsychological associatesMagical ideationAnalytic thinkingPoliticsMentalityHeightened levelsQuota sampleConservatismUnited StatesParanoiaRace/ethnicityFuture researchThreatDemographic factorsCertain individualsPredicting Conversion to Psychosis Using Machine Learning: Are We There Yet?
Cannon T. Predicting Conversion to Psychosis Using Machine Learning: Are We There Yet? American Journal Of Psychiatry 2023, 180: 789-791. PMID: 37908096, DOI: 10.1176/appi.ajp.20230711.Peer-Reviewed Original Research