Katie Garrison, PhD
Associate Professor of PsychiatryCards
Appointments
Contact Info
Psychiatry
1 Church St
New Haven, CT 06511
United States
About
Titles
Associate Professor of Psychiatry
Biography
Kathleen Garrison, PhD, is an Associate Professor in the Department of Psychiatry at the Yale School of Medicine. She earned a BS in Neuroscience from the University of California, Los Angeles, an MSc in Neuroscience from the University of Edinburgh, Scotland, and her PhD in Neuroscience from the University of Southern California. Katie completed her Postdoctoral Training in the Department of Psychiatry at Yale. Katie's research program aims to develop innovative treatments for addictions by understanding the underlying neurobiological processes, designing novel interventions and testing these in randomized clinical trials. Her work is largely focused on tobacco use, but extends to other addictive disorders. Her work uses advanced methods in neuroimaging and mobile health which are generalizable. This enables her research program to be dynamic, highly collaborative, and responsive to often urgent issues in addiction.
Appointments
Psychiatry
Associate Professor on TermPrimary
Other Departments & Organizations
Education & Training
- Postdoctoral Associate
- Yale School of Medicine (2014)
- PhD
- University of Southern California (2011)
- MSc
- University of Edinburgh, Scotland, Neuroscience (2002)
- BS
- University of California, Los Angeles, Neuroscience (2000)
Research
Overview
Medical Subject Headings (MeSH)
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Dustin Scheinost, PhD, BS
Ralitza Gueorguieva, PhD
Marc Potenza, PhD, MD
Corey Roos, PhD
Eugenia Buta, PhD
Michelle Hampson, PhD
Publications
2024
Network state dynamics underpin basal craving in a transdiagnostic population
Ye J, Garrison K, Lacadie C, Potenza M, Sinha R, Goldfarb E, Scheinost D. Network state dynamics underpin basal craving in a transdiagnostic population. Molecular Psychiatry 2024, 1-10. PMID: 39183336, DOI: 10.1038/s41380-024-02708-0.Peer-Reviewed Original ResearchCitationsAltmetricConceptsConnectome-based predictive modelingBrain responsesRegulation of affective statesSample of healthy controlsTransdiagnostic populationTransdiagnostic sampleHigher cravingMotivational stateCravingFMRI methodsAffective statesScan runsExperimental stimuliNetwork engagementBrain dynamicsClinical implicationsHealthy controlsBrainIndividual variationState dynamicsCharacterize individualsReplication datasetPsychopathologyFMRIEngagementSmartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial
Horvath M, Pittman B, O’Malley S, Grutman A, Khan N, Gueorguieva R, Brewer J, Garrison K. Smartband-based smoking detection and real-time brief mindfulness intervention: findings from a feasibility clinical trial. Annals Of Medicine 2024, 56: 2352803. PMID: 38823419, PMCID: PMC11146247, DOI: 10.1080/07853890.2024.2352803.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsBrief mindfulness interventionsMindfulness exercisesTreatment startersMindfulness interventionSmoking interventionsOnline mindfulness trainingWhite non-HispanicMindfulness trainingTreatment fidelityFeasibility measuresHelpfulness ratingsNon-HispanicDaily smokersPredicting smokingReduce smokingExerciseSmokingCigarette smokingInterventionLow completenessAdherenceParticipantsSmartbandAcceptanceMindfulnessBehavioral precursors of nicotine product use trajectories among youth
Buta E, Gueorguieva R, Simon P, Garrison K. Behavioral precursors of nicotine product use trajectories among youth. American Journal Of Preventive Medicine 2024, 67: 360-369. PMID: 38782105, DOI: 10.1016/j.amepre.2024.05.009.Peer-Reviewed Original ResearchAltmetricConceptsNicotine useNicotine productsHarm perceptionsPopulation Assessment of Tobacco and Health StudyBehavioral precursorsPublic health priorityNon-user classPriority intervention targetsPredictors of trajectoriesNonuser classesHealth StudyHealth priorityNicotineHigher oddsCentral network nodesYouth agesNon-usersOddsIntervention targetsPopulation AssessmentYouthPositive expectations
2023
Smartphone Apps Targeting Youth Tobacco Use Prevention and Cessation: An Assessment of Credibility and Quality
Micalizzi L, Mattingly D, Hart J, Jensen J, Mahabee-Gittens E, Garrison K. Smartphone Apps Targeting Youth Tobacco Use Prevention and Cessation: An Assessment of Credibility and Quality. Current Addiction Reports 2023, 10: 649-663. PMID: 38680515, PMCID: PMC11052596, DOI: 10.1007/s40429-023-00524-0.Peer-Reviewed Original ResearchCitationsAltmetricSmartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis
Bold K, Garrison K, DeLucia A, Horvath M, Nguyen M, Camacho E, Torous J. Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis. Journal Of Medical Internet Research 2023, 25: e45183. PMID: 37440305, PMCID: PMC10375280, DOI: 10.2196/45183.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSmoking cessationApp storesEvidence-based supportApp store platformsPrivacy policiesAndroid platformSystematic frameworkApp reviewsIOS platformEnd usersIOS App StoreEvaluation modelMobile appsNovel treatment approachesApp purchasesRating dataEvidence-based interventionsHigh rateEvidence-based appsFull useCognitive behavioral therapySmoking cessation appDigital healthAppsAndroidA Network Investigation of Core Mindfulness Processes
Sala M, Aslan M, Gueorguieva R, Schupak M, Garrison K. A Network Investigation of Core Mindfulness Processes. Mindfulness 2023, 14: 992-1004. PMID: 38854675, PMCID: PMC11160965, DOI: 10.1007/s12671-023-02109-4.Peer-Reviewed Original ResearchCitationsConceptsMindfulness-based interventionsMindfulness processesFacet Mindfulness Questionnaire-Short FormDefinition of mindfulnessMindfulness trainingPsychological wellbeingQuestionnaire-Short FormMindfulnessItem levelFuture researchCore processesWordsCentral processesRandomized clinical trialsSmoking cessationSpecific processesMethodThis studyInterventionObjectivesMindfulnessEmotionsClinical trialsConclusionsFindingsWellbeingBeliefsLimited understandingTransdiagnostic Connectome-Based Prediction of Craving
Garrison K, Sinha R, Potenza M, Gao S, Liang Q, Lacadie C, Scheinost D. Transdiagnostic Connectome-Based Prediction of Craving. American Journal Of Psychiatry 2023, 180: 445-453. PMID: 36987598, DOI: 10.1176/appi.ajp.21121207.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsConnectome-based predictive modelingImagery conditionFunctional connectomeSelf-reported cravingStudy of motivationDefault mode networkFunctional connectivity dataIndependent samplesKey phenomenological featuresNeural signaturesTransdiagnostic sampleTransdiagnostic perspectiveMode networkMotivated behaviorCentral constructAddictive disordersHuman behaviorConnectivity dataPhenomenological featuresStrongest predictorCravingTaskSubstance use-related disordersConnectomeIndividualsA Network Analysis of Cigarette Craving.
Aslan M, Sala M, Gueorguieva R, Garrison K. A Network Analysis of Cigarette Craving. Nicotine & Tobacco Research 2023, 25: 1155-1163. PMID: 36757093, PMCID: PMC10202645, DOI: 10.1093/ntr/ntad021.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
2022
Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use
Pittman B, Buta E, Garrison K, Gueorguieva R. Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use. Nicotine & Tobacco Research 2022, 25: 996-1003. PMID: 36318799, PMCID: PMC10077942, DOI: 10.1093/ntr/ntac253.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsCorrelated count dataCount outcomesCount dataSubject-specific interpretationZero-InflatedIncorrect statistical inferenceStatistical inferenceCorrelated countsPoisson distributionOverdispersionModel assumptionsPoisson modelRandom effectsHurdle Poisson modelProper modelNegative binomial modelBinomial modelSuch dataAppropriate modelBest fitLarge varianceTobacco researchSuch outcomesModel fitTraining appE-cigarette Marketing Expenditures in the United States From 2016 to 2021: Targeted Media Outlets Geared Toward People Who Are at Increased Risk for Tobacco Use
Ozga JE, Stroup AM, Abadi MH, Cheney MK, Majmundar A, Garrison KA, Chen-Sankey J, Shamblen S, Dunlap C, Stanton CA. E-cigarette Marketing Expenditures in the United States From 2016 to 2021: Targeted Media Outlets Geared Toward People Who Are at Increased Risk for Tobacco Use. Nicotine & Tobacco Research 2022, 25: 581-585. PMID: 36070398, PMCID: PMC9910151, DOI: 10.1093/ntr/ntac209.Peer-Reviewed Original ResearchCitationsAltmetric
Clinical Trials
Current Trials
Meditation and Synaptic Density
HIC ID2000030601RoleSub InvestigatorPrimary Completion Date08/31/2024Recruiting ParticipantsGenderBothAge28 years - 70 years
News
News
- May 17, 2023Source: American Journal of Psychiatry
Yale Study: Transdiagnostic Connectome-Based Prediction of Craving
- April 22, 2020
Yale Psychiatry Research Team Awarded Grant to Develop Interventions For Youth E-Cigarette Use Behaviors
- April 19, 2018Source: Yale Daily News
Candy or nicotine? Flavored e-cigarettes manipulate brain activity
- February 11, 2014
Meditation helps pinpoint neurological differences between two types of love
Get In Touch
Contacts
Psychiatry
1 Church St
New Haven, CT 06511
United States