Brian Zaboski, PhD
Assistant Professor of PsychiatryCards
About
Research
Publications
2025
#OCD: A Content Analysis of Obsessive-Compulsive Disorder Stereotype Amplification and Misinformation on TikTok
Fitzpatrick M, Moore A, Kichuk S, Pittenger C, Zaboski B. #OCD: A Content Analysis of Obsessive-Compulsive Disorder Stereotype Amplification and Misinformation on TikTok. Cyberpsychology Behavior And Social Networking 2025, 28: 607-615. PMID: 40842159, DOI: 10.1177/21522715251370135.Peer-Reviewed Original ResearchConceptsSocial mediaContent analysisPrevalence of misinformationHealth information ecosystemContent creatorsInformation ecosystemEngagement metricsTikTokEducational contentVideoMisinformationPublic perceptionStereotypesEngagementEngagement levelsAccurate informationMediumViewersCreatorsInformationDialogueSuicidal obsessions from suicidal ideation: A first-person suicide image pilot study
Mattera E, Sandoval K, Sipper C, Fitzpatrick M, Allen A, Pease J, Schild S, Ulaba-Samura Y, Cha C, Pittenger C, Zaboski B. Suicidal obsessions from suicidal ideation: A first-person suicide image pilot study. Journal Of Affective Disorders 2025, 391: 119916. PMID: 40675259, DOI: 10.1016/j.jad.2025.119916.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderSuicidal obsessionsSuicidal ideationObsessive-compulsive disorder symptom severitySelf-reported affective ratingsSuicide risk assessmentSense of selfIntrusive thoughtsDistressing thoughtsSense of threatPleasantness ratingsSymptom severityBehavioral engagementSuicide measuresSelf-harmAffective ratingsSmall positive effectsIdeationPilot studyObsessionSuicideThoughtsMedium effectsIndividualsAnxietyRethinking the Subjective Units of Distress Scale: Validity and Clinical Utility of the SUDS
Mattera E, Zaboski B. Rethinking the Subjective Units of Distress Scale: Validity and Clinical Utility of the SUDS. Clinics And Practice 2025, 15: 123. PMID: 40710033, PMCID: PMC12293913, DOI: 10.3390/clinpract15070123.Peer-Reviewed Original ResearchSubjective Units of Distress ScaleSubjective UnitsMeasures of subjective distressNegative affect intensityDistress ScaleResponse preventionSubjective distressPsychometric weaknessesMeasurement occasionsPsychometric propertiesAffective intensityConstruct validityIntervention efficacyClinical vignettesPsychometric methodsClinical implicationsMeasures cliniciansPatient distressValidity concernsResearch settingsDistressClinical utilityResearch contextClinical practiceERPDeep learning in obsessive-compulsive disorder: a narrative review
Zaboski B, Bednarek L, Ayoub K, Pittenger C. Deep learning in obsessive-compulsive disorder: a narrative review. Frontiers In Psychiatry 2025, 16: 1581297. PMID: 40585546, PMCID: PMC12202444, DOI: 10.3389/fpsyt.2025.1581297.Peer-Reviewed Original ResearchDeep learningObsessive-compulsive disorderDeep learning advancesMultimodal datasetWearable sensorsMonitoring solutionsMachine learningLearning advancesObsessive-compulsive disorder researchComplex datasetsDebilitating psychiatric conditionImplementation modelIntrusive thoughtsLearningDatasetPsychiatric conditionsRepetitive behaviorsPrecision psychiatryElectronic medical recordsTreatment response predictionDiagnostic classificationClassificationNarrative reviewTreatment outcomesTreatment predictionPrecision Psychiatry for Obsessive-Compulsive Disorder: Clinical Applications of Deep Learning Architectures
Zaboski B, Bednarek L. Precision Psychiatry for Obsessive-Compulsive Disorder: Clinical Applications of Deep Learning Architectures. Journal Of Clinical Medicine 2025, 14: 2442. PMID: 40217892, PMCID: PMC11989962, DOI: 10.3390/jcm14072442.Peer-Reviewed Original ResearchNeural networkDeep learningObsessive-compulsive disorderApplication of deep learning architecturesRecurrent neural networkConvolutional neural networkDeep learning architectureHigh-dimensional dataAdversarial networkLearning architectureMultimodal datasetData generationObsessive-compulsive disorder researchNeural predictorsPredictors of treatment responseComplex psychiatric conditionsNetworkTreatment responseArchitecturePsychiatric conditionsPrecision psychiatryImplementation of DLDatasetClassificationLearningEarly Onset and Tic-Related OCD
Fitzpatrick M, Zaboski B. Early Onset and Tic-Related OCD. 2025, 259-277. DOI: 10.4324/9781003517429-14.Peer-Reviewed Original Research
2024
Social support in obsessive-compulsive disorder: The relationships between social support and readiness to change.
King K, Zaboski B. Social support in obsessive-compulsive disorder: The relationships between social support and readiness to change. Bulletin Of The Menninger Clinic 2024, 88: 320-335. PMID: 39719023, DOI: 10.1521/bumc.2024.88.4.320.Peer-Reviewed Original ResearchPredicting OCD severity from religiosity and personality: A machine learning and neural network approach
Zaboski B, Wilens A, McNamara J, Muller G. Predicting OCD severity from religiosity and personality: A machine learning and neural network approach. Journal Of Mood And Anxiety Disorders 2024, 8: 100089. PMID: 40655911, PMCID: PMC12244054, DOI: 10.1016/j.xjmad.2024.100089.Peer-Reviewed Original ResearchObsessive-compulsive disorderOCD severityObsessive-compulsive disorder severityObsessive-compulsive disorder heterogeneityComplex psychological phenomenonDeep learning techniquesPersonality traitsItem-level featuresNeural network modelNeural network approachPsychological phenomenaMachine learning modelsLearning techniquesMachine learningLearning modelsNetwork modelDisordersNetwork approachMultifaceted natureAggregate scorePrediction accuracyPersonsMachineSeverityDemographic factorsSuicidal Obsessions or Suicidal Ideation? A Case Report and Practical Guide for Differential Assessment
Mattera E, Ching T, Zaboski B, Kichuk S. Suicidal Obsessions or Suicidal Ideation? A Case Report and Practical Guide for Differential Assessment. Cognitive And Behavioral Practice 2024, 31: 259-271. DOI: 10.1016/j.cbpra.2022.09.002.Peer-Reviewed Original ResearchSuicidal ideationCognitive-behavioral frameworkBehavioral criteriaLow familiarityBehavioral frameworkBehavioral responsesFuture researchCommon measurement toolsExtant literatureOCDCase exampleEvidence-based guideDifferential assessmentObsessionIdeationThoughtMeasurement toolsEmotionsPractical guideFamiliaritySuicidalityInaccurate assessmentInterventionClientsPhenomenologyInternalizing Problems
Moore A, Wilens A, Zaboski B. Internalizing Problems. 2024, 181-194. DOI: 10.4324/9781003266181-19.Peer-Reviewed Original Research
Clinical Trials
Current Trials
Obsessions or ideations: First Person Suicide Images study in OCD
HIC ID2000033121RoleSub InvestigatorPrimary Completion Date08/31/2024Recruiting ParticipantsBrain Network Changes Accompanying and Predicting Responses to Pharmacotherapy in OCD
HIC ID2000023688RoleSub InvestigatorPrimary Completion Date07/31/2024Recruiting ParticipantsGenderBothAge18 years - 65 yearsEfficacy of Psilocybin in OCD: a Double-Blind, Placebo-Controlled Study.
HIC ID2000020355RoleSub InvestigatorPrimary Completion Date07/31/2023Recruiting ParticipantsGenderBothAge21 years - 55 years