Scott Woods, MD
Elizabeth Mears and House Jameson Professor of PsychiatryCards
Appointments
Psychiatry
Primary
Child Study Center
Secondary
Contact Info
About
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Titles
Elizabeth Mears and House Jameson Professor of Psychiatry
Biography
Dr. Woods assesses young people at risk for psychosis through his PRIME Clinic, which also offers studies aiming to improve treatment for current symptoms and preventing progression.
Last Updated on April 07, 2025.
Appointments
Psychiatry
ProfessorPrimaryChild Study Center
ProfessorSecondary
Other Departments & Organizations
- Adult Psychiatry
- Child Study Center
- Connecticut Mental Health Center
- MR Core
- PRIME Psychosis Prodrome Research Clinic
- Psychiatry
- Yale Medicine
- Yale Ventures
Education & Training
- Resident
- Massachusetts General Hospital (1984)
- MD
- Baylor College of Medicine (1978)
Research
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Overview
Predictors and Mechanisms of Conversion to Psychosis (MH082022)
Aspirin vs placebo for the psychosis prodrome
D-serine for the psychosis prodrome (MH074356)
Dutetrabenzine for tardive dyskinesia
Huperzine for cognitive enhancement in schizophrenia (MH083436)
Medical Research Interests
Adolescent Psychiatry; Prodromal Symptoms; Psychiatry; Psychotic Disorders
ORCID
0000-0002-3103-5228
Research at a Glance
Yale Co-Authors
Frequent collaborators of Scott Woods's published research.
Publications Timeline
A big-picture view of Scott Woods's research output by year.
Research Interests
Research topics Scott Woods is interested in exploring.
Tyrone Cannon
Albert Powers, MD, PhD
Philip Corlett, PhD
Godfrey Pearlson, MA, MBBS
Zailyn Tamayo
Emily Farina, PhD
84Publications
416Citations
Psychotic Disorders
Prodromal Symptoms
Publications
2025
Theta Oscillations Assessed from a Passive Auditory Oddball Paradigm in Individuals at Clinical High-Risk for Psychosis and Healthy Controls: Associations with Clinical Outcomes and Mismatch Negativity
Hua J, Roach B, Hamilton H, Bachman P, Belger A, Carrión R, Duncan E, Johannesen J, Light G, Niznikiewicz M, Addington J, Bearden C, Cadenhead K, Perkins D, Stone W, Walker E, Woods S, Cannon T, Mathalon D. Theta Oscillations Assessed from a Passive Auditory Oddball Paradigm in Individuals at Clinical High-Risk for Psychosis and Healthy Controls: Associations with Clinical Outcomes and Mismatch Negativity. Biological Psychiatry Global Open Science 2025, 100664. DOI: 10.1016/j.bpsgos.2025.100664.Peer-Reviewed Original ResearchConceptsCHR-CInter-trial phase coherenceAuditory oddball paradigmHealthy controlsClinical high riskCHR-PMismatch negativityCHR-NCNorth American Prodrome Longitudinal Study 2High riskTheta oscillationsClinical outcomesGeneration of theta oscillationsAssociated with clinical outcomesMismatch negativity deficitsOddball paradigmPsychosis conversionMismatch negativity amplitudeCHR-P samplesEvent-related oscillationsCHR-P individualsPassive auditory oddball paradigmFollow-upSchizophrenia biomarkersStandard tonesSpontaneous head movements during virtual clinical interviews help predict 12-months clinical outcomes in youth at clinical high risk for psychosis
Lozano-Goupil J, Parmacek S, Gold J, Corlett P, Strauss G, Schiffman J, Ellman L, Walker E, Powers A, Woods S, Waltz J, Silverstein S, Mittal V. Spontaneous head movements during virtual clinical interviews help predict 12-months clinical outcomes in youth at clinical high risk for psychosis. Schizophrenia 2025, 11: 137. PMID: 41258211, PMCID: PMC12630965, DOI: 10.1038/s41537-025-00683-1.Peer-Reviewed Original ResearchAltmetricConceptsClinical high riskClinical InterviewSymptom severityMarker of symptom severityDisorganized symptomsPsychosis vulnerabilitySocial anhedoniaNegative symptomsPositive symptomsBaseline symptomatologyGlobal functioningSpontaneous head movementsMotor behaviorSocial functioningMotor abnormalitiesSocial interactionAvolitionLongitudinal studyPrognostic valuePsychosisEarly interventionHead movementsHigh riskSymptomsSymptom monitoringNeighborhood Characteristics and Social Functioning: Exploring Shared and Distinct Psychosocial Pathways Among Individuals at Clinical High-Risk for Psychosis
Yuan Q, Feurer C, Zhou Q, Carrion R, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Stone W, Woods S, Walker E, Ku B. Neighborhood Characteristics and Social Functioning: Exploring Shared and Distinct Psychosocial Pathways Among Individuals at Clinical High-Risk for Psychosis. Schizophrenia Bulletin 2025, sbaf192. PMID: 41212179, DOI: 10.1093/schbul/sbaf192.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic deprivationNeighbourhood social fragmentationSocioeconomic deprivationNeighborhood characteristicsAssociated with social functioningContextual risk factorsSocial functioningHigh riskStudy phase 3Impaired social functioningRisk factorsCHR-PSocial fragmentationClinical high riskParticipant's addressGlobal assessmentCHR-P individualsPsychosocial pathwaysGlobal Assessment of FunctioningAssessment of functioningEffective interventionsStructural assessmentStructured Assessment of Violence RiskEnvironmental factorsAssessment of Violence RiskCollecting language, speech acoustics, and facial expression to predict psychosis and other clinical outcomes: strategies from the AMP® SCZ initiative
Bilgrami Z, Castro E, Agurto C, Liebenthal E, Ennis M, Baker J, Scott I, Colton B, Cho K, Li L, Tamayo Z, Henecks M, Rahimi Eichi H, Henry T, Addington J, Alameda L, Arango C, Breitborde N, Broome M, Cadenhead K, Calkins M, Chen E, Choi J, Conus P, Cornblatt B, Ellman L, Fusar-Poli P, Gaspar P, Gerber C, Glenthøj L, Horton L, Hui C, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim S, Koutsouleris N, Kwon J, Langbein K, Mamah D, Diaz-Caneja C, Mathalon D, Mittal V, Nordentoft M, Pearlson G, Perez J, Perkins D, Powers A, Rogers J, Sabb F, Schiffman J, Shah J, Silverstein S, Smesny S, Stone W, Yassin W, Strauss G, Thompson J, Upthegrove R, Verma S, Wang J, Wolf D, McGorry P, Kahn R, Kane J, Anticevic A, Bearden C, Dwyer D, Billah T, Bouix S, Pasternak O, Shenton M, Woods S, Nelson B, Cecchi G, Corcoran C, Wolff P. Collecting language, speech acoustics, and facial expression to predict psychosis and other clinical outcomes: strategies from the AMP® SCZ initiative. Schizophrenia 2025, 11: 125. PMID: 41093845, PMCID: PMC12528486, DOI: 10.1038/s41537-025-00669-z.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high riskSample taskEarly psychosisClinical high-risk participantsFacial expressionsCommunity controlsSpeech-based detectionDetection of psychosisPsychosis riskReferential languagePsychosisSyntactic embeddingElicitation conditionsNatural language processing parserEveryday speechSpeech acousticsInterviewer trainingMachine-learning classifiersSpeechLanguage modelElevated useComputational linguisticsTaskData integrationLanguageShift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics
Farina E, Mourgues-Codern C, Stimler K, Kenney J, Saxena A, Mukhtar H, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Ellman L, Gold J, Keshavan M, Mathalon D, Mittal V, Perkins D, Schiffman J, Silverstein S, Strauss G, Stone W, Walker E, Waltz J, Corlett P, Powers A, Woods S. Shift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics. Schizophrenia 2025, 11: 123. PMID: 41053030, PMCID: PMC12501016, DOI: 10.1038/s41537-025-00663-5.Peer-Reviewed Original ResearchAltmetricConceptsClinical high riskClinical high-risk samplesNorth American Prodrome Longitudinal StudyOvert psychotic disordersSample characteristicsSample of individualsNegative symptomsPsychotic disordersPsychosis riskSelf-referralRecruitment sourcesBetween-study differencesComputerized assessmentHierarchical regressionPsychosisRecruitment source effectsClinical implicationsLongitudinal studyGeneral symptomsDemographic differencesClinical profileSymptomsParticipantsClinical heterogeneitySex2.67 Long-Term Outcomes of Youth at Clinical High-Risk for Psychosis: Does Lifetime Substance Use Play a Role?
Bianchi S, Addington J, Bearden C, Cannon T, Carrión R, Keshavan M, Mathalon D, Perkins D, Stone W, Walker E, Woods S, Cadenhead K. 2.67 Long-Term Outcomes of Youth at Clinical High-Risk for Psychosis: Does Lifetime Substance Use Play a Role? Journal Of The American Academy Of Child And Adolescent Psychiatry 2025, 64: s214. DOI: 10.1016/j.jaac.2025.08.187.Peer-Reviewed Original ResearchPredictors and Moderators of Long-Term Outcome of Persons at Clinical High Risk for Psychosis: Methods and Preliminary Data
Cadenhead K, Kennedy L, Mirzakhanian H, Addington J, Bearden C, Cannon T, Carrión R, Keshavan M, Mathalon D, Perkins D, Stone W, Walker E, Woods S. Predictors and Moderators of Long-Term Outcome of Persons at Clinical High Risk for Psychosis: Methods and Preliminary Data. Schizophrenia Bulletin 2025, sbaf133. PMID: 40856400, DOI: 10.1093/schbul/sbaf133.Peer-Reviewed Original ResearchAltmetricConceptsClinical high riskClinical high-risk criteriaLong-term outcomesNorth American Prodrome Longitudinal Study sitesClinical high-risk participantsRates of affective disordersHigh riskLife courseNon-converter groupHigh-risk youthAssessment of individualsPsychosis statesAffective disordersPsychosocial functioningPsychosisTrajectory of diagnosisLonger-term outcomesClinical/functional outcomesLong-term assessmentGeneral populationBaseline dataParticipantsPreliminary dataEarly dataPersonsIdentifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms
Williams T, Gold J, Waltz J, Schiffman J, Ellman L, Strauss G, Walker E, Woods S, Powers A, Kenney J, Pappu M, Corlett P, Tran T, Silverstein S, Zinbarg R, Mittal V. Identifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms. Translational Psychiatry 2025, 15: 311. PMID: 40849429, PMCID: PMC12375010, DOI: 10.1038/s41398-025-03539-5.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsCHR-P individualsClinical high riskCHR-PClinical InterviewComputerized assessmentAssessment of psychosis riskStructured Clinical InterviewRisk calculator scoresNeurocognitive mechanismsPsychosis symptomsPsychosis riskBehavioral tasksUnique predictorsMental disordersTask batteryPsychosisTask variablesComparison groupHealthy controlsRisk severityUpdate beliefsTaskMultinomial logistic regressionConsortium studyIndividualsPrediction of antipsychotic medication inception in antipsychotic-naive youth at clinical high risk for psychosis
Mukhtar H, Zhou D, Farina E, Saxena A, Cahill J, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshwan M, Mathalon D, Perkins D, Stone W, Cho Y, Powers A, Walker E, Woods S. Prediction of antipsychotic medication inception in antipsychotic-naive youth at clinical high risk for psychosis. Psychological Medicine 2025, 55: e241. PMID: 40842369, PMCID: PMC12404330, DOI: 10.1017/s0033291725101372.BooksCitationsAltmetricConceptsClinical high riskCHR-PLifetime historyAugmentation of antidepressant treatmentComorbid major depressionAP useAntidepressant treatmentPositive symptomsMajor depressionAP medicationNAPLS-2Independent predictorsCHR-P.High riskBaseline clinical variablesPsychosisBaseline predictorsClinical variablesParticipantsBaseline characteristicsUnivariate analysisLogistic regression modelsObservational cohortMultivariate analysisAP initiationIncidence, Prevalence, and Stability of Remission in Individuals With Clinical High Risk for Psychosis
Seitz-Holland J, Jacobs G, Reinen J, Mathalon D, Corcoran C, Reichenberg A, Vangel M, Glynn R, Penzel N, Cho K, Castro E, Haidar A, Addington J, Kapur T, Bouix S, Bearden C, Kane J, McGorry P, Woods S, Nelson B, Kahn R, Shenton M, Cecchi G, Pasternak O. Incidence, Prevalence, and Stability of Remission in Individuals With Clinical High Risk for Psychosis. JAMA Network Open 2025, 8: e2525644. PMID: 40762913, PMCID: PMC12326281, DOI: 10.1001/jamanetworkopen.2025.25644.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsClinical high riskClinical high-risk statusAssociated with higher likelihoodModified Global AssessmentLikelihood of remissionRemission criteriaPositive symptomsGlobal Assessment of FunctioningScale of Prodromal SymptomsRemission incidenceModified Global Assessment of FunctioningAssessment of functioningFollow-upStability of remissionHigh riskHigher likelihood of remissionAntidepressant medicationFunctional remissionCognitive variablesCognitive performanceMain OutcomesClinical servicesStudy 3Follow-up visitCohort study
Clinical Trials
Current Trials
ProNET
HIC ID2000029159RolePrincipal InvestigatorPrimary Completion Date12/31/2024Recruiting ParticipantsSchizophrenia Spectrum Biomarkers Consortium (SSBC)
HIC ID2000029485RoleSub InvestigatorPrimary Completion Date12/31/2030Recruiting ParticipantsStudy of Brain Function Across the Lifespan
HIC ID2000020891RoleSub InvestigatorPrimary Completion Date07/31/2022Recruiting ParticipantsGenderBothAge18 years - 65 yearsSleep Dependent Learning in Schizophrenia and Psychosis Risk Syndrome
HIC ID1201009524RoleSub InvestigatorPrimary Completion Date01/31/2022Recruiting ParticipantsGenderBothAge18 years - 55 years
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300 George St
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