Scott Woods, MD
Professor of PsychiatryCards
Appointments
Psychiatry
Primary
Child Study Center
Secondary
Contact Info
About
Titles
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.
Appointments
Psychiatry
ProfessorPrimaryChild Study Center
ProfessorSecondary
Other Departments & Organizations
Education & Training
- Resident
- Massachusetts General Hospital (1984)
- MD
- Baylor College of Medicine (1978)
Research
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 Subject Headings (MeSH)
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
Vinod Srihari, MD
Maria Ferrara, MD
Melissa C Funaro, MLS, MS
Philip Corlett, PhD
21Publications
153Citations
Psychotic Disorders
Prodromal Symptoms
Publications
The Italian adaptation of the Mini‐SIPS, a tool for early detection of individuals at clinical high risk and first episode of psychosis: A preliminary study of implementation in an Italian FEP program
Ferrara M, Basaldella M, Vacca F, Woods S, Walsh B, Cannon T, Srihari V, Grassi L. The Italian adaptation of the Mini‐SIPS, a tool for early detection of individuals at clinical high risk and first episode of psychosis: A preliminary study of implementation in an Italian FEP program. Early Intervention In Psychiatry 2024 PMID: 38769052, DOI: 10.1111/eip.13548.Peer-Reviewed Original ResearchConceptsClinical high riskFirst-episode psychosisDSM-5-Attenuated Psychosis SyndromeItalian adaptationPsychosis syndromeDSM-5FEP programsEarly stages of psychosisItalian versionFirst-episode psychosis servicesFull-blown psychosisStages of psychosisEpisode of psychosisClinical structured interviewEpisode psychosisEstablished psychosisTrained psychologistsPsychiatric historyPsychosisPsychosis servicesHigh riskStructured interviewsClinical settingEarly detection of individualsAssess validityThe Complex Latent Structure of Attenuated Psychotic Symptoms: Hierarchical and Bifactor Models of SIPS Symptoms Replicated in Two Large Samples at Clinical High Risk for Psychosis
Cowan H, Williams T, Mittal V, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshevan M, Perkins D, Mathalon D, Stone W, Woods S, Walker E. The Complex Latent Structure of Attenuated Psychotic Symptoms: Hierarchical and Bifactor Models of SIPS Symptoms Replicated in Two Large Samples at Clinical High Risk for Psychosis. Schizophrenia Bulletin 2024, sbae042. PMID: 38728417, DOI: 10.1093/schbul/sbae042.Peer-Reviewed Original ResearchAltmetricConceptsAttenuated psychotic symptomsClinical high riskPsychotic symptomsGeneral factorBifactor modelPsychosis riskPsychotic disordersPresence of attenuated psychotic symptomsFunctional impairmentConversion to psychotic disordersAssessment of psychosis riskPositive symptom factorNon-psychotic symptomsPsychosis-Risk SyndromesAssociated with depressive symptomsCHR participantsPositive symptomsCHR statusCHR samplesSymptom varianceTransdiagnostic assessmentInternalizing symptomsSymptom factorsPreregistered replicationDepressive symptomsLongitudinal Trajectories of Premorbid Social and Academic Adjustment in Youth at Clinical High Risk for Psychosis: Implications for Conversion
Cowan H, Mittal V, Addington J, Bearden C, Cadenhead K, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Stone W, Tsuang M, Woods S, Cannon T, Walker E. Longitudinal Trajectories of Premorbid Social and Academic Adjustment in Youth at Clinical High Risk for Psychosis: Implications for Conversion. Schizophrenia Bulletin 2024, sbae050. PMID: 38706103, DOI: 10.1093/schbul/sbae050.Peer-Reviewed Original ResearchConceptsConversion to psychosisClinical high riskAcademic adjustmentPremorbid periodPremorbid adjustmentNegative symptomsNon-convertersSocial adjustmentLongitudinal trajectoriesChildhood trauma impactsPremorbid adjustment trajectoriesPremorbid social functioningPoor academic adjustmentBetween-person levelPsychotic disorder diagnosisNon-affective psychosisPoor social adjustmentGrowth curve modelsPsychotic disordersPremorbid functioningChildhood traumaDisorder diagnosisCognitive effectsPsychosisAdjustment problems11. Role of Prediction Errors in the Relationship Between Ethnoracial Discrimination and Delusions
Huque Z, O'Brien K, Rossi-Goldthorpe R, Kenney J, Mittal V, Strauss G, Walker E, Schiffman J, Woods S, Powers A, Silverstein S, Waltz J, Gold J, Corlett P, Ellman L. 11. Role of Prediction Errors in the Relationship Between Ethnoracial Discrimination and Delusions. Biological Psychiatry 2024, 95: s78-s79. DOI: 10.1016/j.biopsych.2024.02.189.Peer-Reviewed Original ResearchAltmetricSocial Engagement Moderates Relations Between Hippocampal-Temporoparietal Junction Connectivity and Neighborhood Social Fragmentation in Youth at Clinical High Risk for Psychosis
Aberizk K, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Stone W, Tsuang M, Woods S, Walker E, Ku B. Social Engagement Moderates Relations Between Hippocampal-Temporoparietal Junction Connectivity and Neighborhood Social Fragmentation in Youth at Clinical High Risk for Psychosis. Biological Psychiatry 2024, 95: s37-s38. DOI: 10.1016/j.biopsych.2024.02.095.Peer-Reviewed Original ResearchAltmetric451. Group Iterative Multiple Model Estimation Reveals Individuals at Clinical High-Risk for Psychosis and Healthy Comparisons Self-Organize by Premorbid Adjustment According to Patterns of Temporoparietal Brain Connectivity
Aberizk K, Ku B, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Stone W, Tsuang M, Woods S, Walker E. 451. Group Iterative Multiple Model Estimation Reveals Individuals at Clinical High-Risk for Psychosis and Healthy Comparisons Self-Organize by Premorbid Adjustment According to Patterns of Temporoparietal Brain Connectivity. Biological Psychiatry 2024, 95: s284. DOI: 10.1016/j.biopsych.2024.02.950.Peer-Reviewed Original ResearchDifferent learning aberrations relate to delusion-like beliefs with different contents
Rossi-Goldthorpe R, Silverstein S, Gold J, Schiffman J, Waltz J, Williams T, Powers A, Woods S, Zinbarg R, Mittal V, Ellman L, Strauss G, Walker E, Levin J, Castiello S, Kenney J, Corlett P. Different learning aberrations relate to delusion-like beliefs with different contents. Brain 2024, awae122. PMID: 38637303, DOI: 10.1093/brain/awae122.Peer-Reviewed Original ResearchCitationsAltmetricConceptsProbabilistic reversal learningDelusion-like beliefsProbabilistic reversal learning taskBlocked cueControl cuesBelief convictionBlock taskClinical high-risk statusKamin blocking taskSymptom-specific effectsPrediction error accountLevels of paranoiaIntact learningAberrant learningKamin blockingParanoid individualsPersecutory delusionsCue presentationReversal learningPredicting psychosisCognitive tasksBehavioral resultsDecreased learningDelusionsParanoiaThe 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, DOI: 10.1037/abn0000893.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsHierarchical 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 hypothesesPlasma complement and coagulation proteins as prognostic factors of negative symptoms: An analysis of the NAPLS 2 and 3 studies
Byrne J, Healy C, Föcking M, Heurich M, Susai S, Mongan D, Wynne K, Kodosaki E, Woods S, Cornblatt B, Stone W, Mathalon D, Bearden C, Cadenhead K, Addington J, Walker E, Cannon T, Cannon M, Jeffries C, Perkins D, Cotter D. Plasma complement and coagulation proteins as prognostic factors of negative symptoms: An analysis of the NAPLS 2 and 3 studies. Brain Behavior And Immunity 2024, 119: 188-196. PMID: 38555993, DOI: 10.1016/j.bbi.2024.03.049.Peer-Reviewed Original ResearchAltmetricConceptsNegative symptomsDepressive symptomsScale of Psychosis-risk SymptomsMeasures of negative symptomsNorth American Prodrome Longitudinal Study 2Psychosis-risk symptomsClinical high riskPrognostic factorsLongitudinal Study 2Positive symptomsNAPLS 2Psychotic disordersAntipsychotic usePsychotic experiencesCannabis useSuicidal ideationAntidepressant useStudy 2Regulation groupQuality of life of individualsGroup factorsCurrent treatment optionsDemographic prognostic factorsPsychosisCoagulation proteinsAccelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
Wannan C, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker J, Bearden C, Billah T, Bouix S, Broome M, Buccilli K, Cadenhead K, Calkins M, Cannon T, Cecci G, Chen E, Cho K, Choi J, Clark S, Coleman M, Conus P, Corcoran C, Cornblatt B, Diaz-Caneja C, Dwyer D, Ebdrup B, Ellman L, Fusar-Poli P, Galindo L, Gaspar P, Gerber C, Glenthøj L, Glynn R, Harms M, Horton L, Kahn R, Kambeitz J, Kambeitz-Ilankovic L, Kane J, Kapur T, Keshavan M, Kim S, Koutsouleris N, Kubicki M, Kwon J, Langbein K, Lewandowski K, Light G, Mamah D, Marcy P, Mathalon D, McGorry P, Mittal V, Nordentoft M, Nunez A, Pasternak O, Pearlson G, Perez J, Perkins D, Powers A, Roalf D, Sabb F, Schiffman J, Shah J, Smesny S, Spark J, Stone W, Strauss G, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum I, Wolf D, Wolff P, Wood S, Yung A, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión R, Castro E, Cetin-Karayumak S, Chakravarty M, Cho Y, Cotter D, D’Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur R, Gur R, Hamilton H, Hoftman G, Jacobs G, Jarcho J, Ji J, Kohler C, Lalousis P, Lavoie S, Lepage M, Liebenthal E, Mervis J, Murty V, Nicholas S, Ning L, Penzel N, Poldrack R, Polosecki P, Pratt D, Rabin R, Eichi H, Rathi Y, Reichenberg A, Reinen J, Rogers J, Ruiz-Yu B, Scott I, Seitz-Holland J, Srihari V, Srivastava A, Thompson A, Turetsky B, Walsh B, Whitford T, Wigman J, Yao B, Yuen H, Ahmed U, Byun A, Chung Y, Do K, Hendricks L, Huynh K, Jeffries C, Lane E, Langholm C, Lin E, Mantua V, Santorelli G, Ruparel K, Zoupou E, Adasme T, Addamo L, Adery L, Ali M, Auther A, Aversa S, Baek S, Bates K, Bathery A, Bayer J, Beedham R, Bilgrami Z, Birch S, Bonoldi I, Borders O, Borgatti R, Brown L, Bruna A, Carrington H, Castillo-Passi R, Chen J, Cheng N, Ching A, Clifford C, Colton B, Contreras P, Corral S, Damiani S, Done M, Estradé A, Etuka B, Formica M, Furlan R, Geljic M, Germano C, Getachew R, Goncalves M, Haidar A, Hartmann J, Jo A, John O, Kerins S, Kerr M, Kesselring I, Kim H, Kim N, Kinney K, Krcmar M, Kotler E, Lafanechere M, Lee C, Llerena J, Markiewicz C, Matnejl P, Maturana A, Mavambu A, Mayol-Troncoso R, McDonnell A, McGowan A, McLaughlin D, McIlhenny R, McQueen B, Mebrahtu Y, Mensi M, Hui C, Suen Y, Wong S, Morrell N, Omar M, Partridge A, Phassouliotis C, Pichiecchio A, Politi P, Porter C, Provenzani U, Prunier N, Raj J, Ray S, Rayner V, Reyes M, Reynolds K, Rush S, Salinas C, Shetty J, Snowball C, Tod S, Turra-Fariña G, Valle D, Veale S, Whitson S, Wickham A, Youn S, Zamorano F, Zavaglia E, Zinberg J, Woods S, Shenton M. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophrenia Bulletin 2024, 50: 496-512. PMID: 38451304, PMCID: PMC11059785, DOI: 10.1093/schbul/sbae011.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high-risk individualsClinical high riskNational Institute of Mental HealthInstitute of Mental HealthAttenuated positive symptomsPersistent negative symptomsTransition to psychosisCHR statusHigh riskNegative symptomsPositive symptomsAnxiety symptomsPsychosocial functioningCognitive dataOutcomes of individualsDigital health technologiesDaily surveysPsychosisSCZPublic health needsMental healthNovel pharmacological interventionsSchizophreniaClinical outcomesHealth needs
Clinical Trials
Current Trials
ProNET
HIC ID2000029159RolePrincipal InvestigatorPrimary Completion Date12/31/2024Recruiting 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
Links & Media
News
- September 07, 2022
PRIME Clinic Receives Four Additional Years of SAMHSA Funding
- February 14, 2022
Yale Department of Psychiatry #2 in Psychiatric Research Funding
- June 08, 2021
Caring for young people's mental health at PRIME
- September 16, 2020
Yale Researchers to Lead $52M Investigation Into Cause, Effect of Schizophrenia in Some High-risk Adolescents
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Psychiatry
300 George St
New Haven, CT 06511-
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