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 New Haven Health System
- 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
103Publications
641Citations
Psychotic Disorders
Prodromal Symptoms
Publications
2026
Utility of zoom-based clinical interviews for automated facial emotion analysis
Bertrand C, Gold J, Waltz J, Schiffman J, Ellman L, Strauss G, Walker E, Woods S, Powers A, Kenney J, Corlett P, Silverstein S, Mittal V. Utility of zoom-based clinical interviews for automated facial emotion analysis. Schizophrenia Research 2026, 295: 226-227. PMID: 42302696, DOI: 10.1016/j.schres.2026.06.017.Peer-Reviewed Original ResearchUsing connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting
Samardzija A, Shen X, Luo W, Greene A, Mehta S, Tokoglu F, Arora J, Woods S, Katz R, Sanacora G, Srihari V, Scheinost D, Constable R. Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting. Nature Communications 2026 PMID: 42303975, DOI: 10.1038/s41467-026-73941-0.Peer-Reviewed Original ResearchCitationsAltmetricConceptsBrain systemsConnectome-based predictive modelingBrain-behavior modelsCognitive constructsBrain circuitsBrain networksBrain metricsFMRI dataNetwork contributionComposite scoreTest scoresCognitive networksScore relationshipsConnectivity networksBrainStandardized testsDiverse participantsSubtestsFMRIPredictive powerExternal testScoresKernel ridge regressionFeed-forward approachClinical symptomsComparative profiles of anomalous self-experiences and social cognition in clinical high risk for psychosis and autism spectrum disorder
Gundersen K, Kristensen T, Jeppesen A, Andresen J, Andersen H, Fagerlund B, Fusar-Poli P, Nordentoft M, Ebdrup B, Woods S, Shenton M, Nelson B, Schizophrenia A, Glenthøj L. Comparative profiles of anomalous self-experiences and social cognition in clinical high risk for psychosis and autism spectrum disorder. Schizophrenia Research Cognition 2026, 46: 100450. PMID: 42317301, PMCID: PMC13272541, DOI: 10.1016/j.scog.2026.100450.Peer-Reviewed Original ResearchConceptsInventory of Psychotic-Like Anomalous Self-ExperiencesAutism spectrum disorderSocial cognitive biasesAnomalous self-experiencesSelf-disordersClinical high riskSocial cognitionCognitive biasesCHR-PCHR-P.Spectrum disorderAssociated with social cognitive deficitsSelf-experienceSocial functioningMeasures of social functioningSocial cognitive deficitsSocial cognitive impairmentsSocial cognitive domainsPsychosis-risk statesCognitive deficitsCognitive domainsBootstrapped regression modelsSymptom profilesAnalysis of covarianceMultiple comparisonsValue representation in youth psychopathology: evidence of a transdiagnostic risk mechanism for psychosis
Millman Z, Gold J, Schiffman J, Ellman L, Walker E, Powers A, Woods S, Silverstein S, Mittal V, Corlett P, Strauss G, Waltz J. Value representation in youth psychopathology: evidence of a transdiagnostic risk mechanism for psychosis. Translational Psychiatry 2026 PMID: 42270591, DOI: 10.1038/s41398-026-04065-8.Peer-Reviewed Original ResearchConceptsClinical high riskNegative symptomsDepressive symptomsNegative symptoms of schizophreniaClinical high-risk youthRisk mechanismsValue representationPsychosis transition ratesValue-guided choiceLower premorbid intelligenceSymptoms of schizophreniaWin-stay behaviorAssociated with deficitsRisk calculator scoresAssociated with multiple indicatorsIntact learningPremorbid intelligenceYouth psychopathologyPsychosis riskAffective disturbancesNeuropsychological assessmentImpaired learningSymptom InterviewPsychosisClinical groupsComputerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis
Bertrand C, Pokorny V, Gold J, Waltz J, Schiffman J, Ellman L, Strauss G, Walker E, Woods S, Powers A, Kenney J, Corlett P, Silverstein S, Mittal V. Computerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis. Psychological Medicine 2026, 56: e184. PMID: 42267441, PMCID: PMC13280694, DOI: 10.1017/s0033291726104826.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsClinical high riskInternational Affective Picture SystemNegative symptom domainsHappy facial expressionsEmotional reactivityNegative symptomsFacial expressionsSymptom domainsEmotional expressionComputerized assessmentClinical high-risk individualsClinical high-risk participantsAssessment of emotional expressionCore featuresClinical high-risk groupHealthy controlsFeatures of psychosisPredictor of functional outcomePositive symptomsMotivational symptomsDisgust expressionsExpressive deficitsPsychosis riskClinical InterviewPicture SystemElectroencephalography Microstate Instability and Clinical Outcomes in Individuals at Clinical High Risk of Psychosis.
Liebrand M, Hamilton H, Roach B, Nicholas S, 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, Koenig T, Mathalon D. Electroencephalography Microstate Instability and Clinical Outcomes in Individuals at Clinical High Risk of Psychosis. JAMA Psychiatry 2026 PMID: 42234419, PMCID: PMC13234755, DOI: 10.1001/jamapsychiatry.2026.1084.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high risk of psychosisClinical high riskConversion to psychosisHigh risk of psychosisClinical outcomesCHR-CCHR-NCRisk of psychosisHealthy controlsPrognostic biomarkerBiomarkers of clinical outcomesHC participantsMicrostate featuresClinical criteriaFollow-upMechanisms of illnessResting-state electroencephalographyTreatment decisionsPositive symptomsAuditory white noisePotential biomarkersCompensatory mechanismsMain OutcomesPsychosisOutcomesThe problem of recognition of clinical high‐risk states is hampering the prevention of schizophrenia
Woods S. The problem of recognition of clinical high‐risk states is hampering the prevention of schizophrenia. World Psychiatry 2026, 25: 274-275. PMID: 42136419, PMCID: PMC13176850, DOI: 10.1002/wps.70055.Peer-Reviewed Original ResearchCannabis and tobacco co-use predicts psychosis in clinical high risk cohorts
Bello D, Blyth S, Rabin R, Addington J, Bearden C, Cadenhead K, Cannon T, Carrión R, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Seidman L, Stone W, Tsuang M, Walker E, Woods S, Brady R, Ward H. Cannabis and tobacco co-use predicts psychosis in clinical high risk cohorts. Nature Mental Health 2026, 4: 941-950. PMID: 42291778, PMCID: PMC13259916, DOI: 10.1038/s44220-026-00648-y.Peer-Reviewed Original ResearchAltmetricConceptsConversion to psychosisPsychiatric symptom severityTobacco co-useCo-useCannabis usePsychiatric symptomsSymptom severityAssociated with psychiatric symptom severityClinical high-risk cohortRisk of conversion to psychosisLong-term psychiatric consequencesClinical high riskDevelopment of psychosisProspective study of individualsHealthy controlsTobacco useAssociated with higher riskHeavy cannabisCo-use of tobaccoCHR populationStudy of individualsAssociated with medical comorbiditiesPsychiatric consequencesPsychosisCannabisComputerized Assessments of Perceptual Organization Uniquely Predict Hallucinations and Perceptual Distortions in Individuals at Clinical High Risk for Psychosis
Pokorny V, Williams T, Pratt D, Kenney J, Ellman L, Strauss G, Walker E, Woods S, Powers A, Corlett P, Thompson J, Silverstein S, Waltz J, Gold J, Schiffman J, Mittal V. Computerized Assessments of Perceptual Organization Uniquely Predict Hallucinations and Perceptual Distortions in Individuals at Clinical High Risk for Psychosis. Biological Psychiatry 2026, 99: s38. DOI: 10.1016/j.biopsych.2026.03.097.Peer-Reviewed Original ResearchAltmetric7. Distinct Circuits Are Associated With Attenuated Delusions and Hallucinations in Clinical High Risk for Psychosis
Vin R, Fonteneau C, Tamayo Z, Cho Y, Investigators A, Scheinost D, Woods S, Powers A. 7. Distinct Circuits Are Associated With Attenuated Delusions and Hallucinations in Clinical High Risk for Psychosis. Biological Psychiatry 2026, 99: s77-s78. DOI: 10.1016/j.biopsych.2026.03.187.Peer-Reviewed Original Research
Clinical Trials
Current Trials
ProNET
IRB ID2000029159RolePrincipal InvestigatorPrimary Completion Date12/31/2024Recruiting ParticipantsSchizophrenia Spectrum Biomarkers Consortium (SSBC)
IRB ID2000029485RoleSub InvestigatorPrimary Completion Date12/31/2030Recruiting ParticipantsStudy of Brain Function Across the Lifespan
IRB ID2000020891RoleSub InvestigatorPrimary Completion Date07/31/2022Recruiting ParticipantsGenderBothAge18 years - 65 yearsSleep Dependent Learning in Schizophrenia and Psychosis Risk Syndrome
IRB ID1201009524RoleSub InvestigatorPrimary Completion Date01/31/2022Recruiting ParticipantsGenderBothAge18 years - 55 years
News
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News
- May 20, 2026
Hyman Honored with 2026 Yale Department of Psychiatry Mental Health Advocacy Award
- April 08, 2026
Yale-NAMI Conference on Neuroscience, Mental Health and Society Scheduled for May 9
- March 23, 2026
Powers Honored with SIRS Research Excellence Award
- February 17, 2026
Yale Psychiatry Ranks Second in Nation in NIH Research Funding
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Psychiatry
300 George St
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