Adam Chekroud, PhD
Assistant Professor Adjunct, Psychiatry
Research & Publications
Biography
News
Coauthors
Selected Publications
- Broadening the Use of Machine Learning in PsychiatryAdkinson B, Chekroud A. Broadening the Use of Machine Learning in Psychiatry. Biological Psychiatry 2023, 93: 4-5. PMID: 36456077, DOI: 10.1016/j.biopsych.2022.10.006.
- Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 PandemicBondar J, Morrow C, Gueorguieva R, Brown M, Hawrilenko M, Krystal JH, Corlett PR, Chekroud AM. Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 Pandemic. JAMA Network Open 2022, 5: e2216349. PMID: 35679044, PMCID: PMC9185188, DOI: 10.1001/jamanetworkopen.2022.16349.
- Trends in inpatient care for psychiatric disorders in NHS hospitals across England, 1998/99–2019/20: an observational time series analysisDegli Esposti M, Ziauddeen H, Bowes L, Reeves A, Chekroud A, Humphreys D, Ford T. Trends in inpatient care for psychiatric disorders in NHS hospitals across England, 1998/99–2019/20: an observational time series analysis. Social Psychiatry And Psychiatric Epidemiology 2021, 57: 993-1006. PMID: 34951652, PMCID: PMC8705084, DOI: 10.1007/s00127-021-02215-5.
- Parsing the antidepressant effects of non-invasive brain stimulation and pharmacotherapy: A symptom clustering approach on ELECT-TDCSGoerigk S, Padberg F, Chekroud A, Kambeitz J, Bühner M, Brunoni A. Parsing the antidepressant effects of non-invasive brain stimulation and pharmacotherapy: A symptom clustering approach on ELECT-TDCS. Brain Stimulation 2021, 14: 906-912. PMID: 34048940, DOI: 10.1016/j.brs.2021.05.008.
- The promise of machine learning in predicting treatment outcomes in psychiatryChekroud A, Bondar J, Delgadillo J, Doherty G, Wasil A, Fokkema M, Cohen Z, Belgrave D, DeRubeis R, Iniesta R, Dwyer D, Choi K. The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry 2021, 20: 154-170. PMID: 34002503, PMCID: PMC8129866, DOI: 10.1002/wps.20882.
- Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorderAnderson KM, Collins MA, Kong R, Fang K, Li J, He T, Chekroud AM, Yeo BTT, Holmes AJ. Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 25138-25149. PMID: 32958675, PMCID: PMC7547155, DOI: 10.1073/pnas.2008004117.
- Precision non-implantable neuromodulation therapies: a perspective for the depressed brainBorrione L, Bellini H, Razza L, Avila A, Baeken C, Brem A, Busatto G, Carvalho A, Chekroud A, Daskalakis Z, Deng Z, Downar J, Gattaz W, Loo C, Lotufo P, da Graça M. Martin M, McClintock S, O’Shea J, Padberg F, Passos I, Salum G, Vanderhasselt M, Fraguas R, Benseñor I, Valiengo L, Brunoni A. Precision non-implantable neuromodulation therapies: a perspective for the depressed brain. Brazilian Journal Of Psychiatry 2020, 42: 403-419. PMID: 32187319, PMCID: PMC7430385, DOI: 10.1590/1516-4446-2019-0741.
- Symptom clusters in adolescent depression and differential response to treatment: a secondary analysis of the Treatment for Adolescents with Depression Study randomised trialBondar J, Caye A, Chekroud A, Kieling C. Symptom clusters in adolescent depression and differential response to treatment: a secondary analysis of the Treatment for Adolescents with Depression Study randomised trial. The Lancet Psychiatry 2020, 7: 337-343. PMID: 32199509, DOI: 10.1016/s2215-0366(20)30060-2.
- Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019Browning M, Carter CS, Chatham C, Den Ouden H, Gillan CM, Baker JT, Chekroud AM, Cools R, Dayan P, Gold J, Goldstein RZ, Hartley CA, Kepecs A, Lawson RP, Mourao-Miranda J, Phillips ML, Pizzagalli DA, Powers A, Rindskopf D, Roiser JP, Schmack K, Schiller D, Sebold M, Stephan KE, Frank MJ, Huys Q, Paulus M. Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019. Biological Psychiatry 2020, 88: e5-e10. PMID: 32113656, DOI: 10.1016/j.biopsych.2019.12.026.
- The Opportunity for Exercise to Improve Population Mental HealthChekroud A, Trugerman A. The Opportunity for Exercise to Improve Population Mental Health. JAMA Psychiatry 2019, 76: 1206-1207. PMID: 31483446, DOI: 10.1001/jamapsychiatry.2019.2282.
- A Mendelian Randomization Approach for Assessing the Relationship Between Physical Activity and DepressionChekroud A. A Mendelian Randomization Approach for Assessing the Relationship Between Physical Activity and Depression. JAMA Psychiatry 2019, 76: 361-362. PMID: 30673064, DOI: 10.1001/jamapsychiatry.2018.3870.
- Repetitive transcranial magnetic stimulation for depressionChekroud A, Cristea I. Repetitive transcranial magnetic stimulation for depression. The Lancet 2019, 393: 403. PMID: 30712895, DOI: 10.1016/s0140-6736(18)32760-0.
- Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high riskTang Y, Zhou Q, Chang M, Chekroud A, Gueorguieva R, Jiang X, Zhou Y, He G, Rowland M, Wang D, Fu S, Yin Z, Leng H, Wei S, Xu K, Wang F, Krystal JH, Driesen NR. Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk. Schizophrenia Research 2019, 210: 172-179. PMID: 30685394, DOI: 10.1016/j.schres.2018.12.041.
- Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophreniaPlis SM, Amin MF, Chekroud A, Hjelm D, Damaraju E, Lee HJ, Bustillo JR, Cho K, Pearlson GD, Calhoun VD. Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia. NeuroImage 2018, 181: 734-747. PMID: 30055372, PMCID: PMC6321628, DOI: 10.1016/j.neuroimage.2018.07.047.
- T107. WHY VALIDATION MATTERS: A DEMONSTRATION PREDICTING ANTIPSYCHOTIC RESPONSE USING 5 RCTSChekroud A. T107. WHY VALIDATION MATTERS: A DEMONSTRATION PREDICTING ANTIPSYCHOTIC RESPONSE USING 5 RCTS. Schizophrenia Bulletin 2018, 44: s157-s157. PMCID: PMC5888612, DOI: 10.1093/schbul/sby016.383.
- Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.Zheutlin AB, Chekroud AM, Polimanti R, Gelernter J, Sabb FW, Bilder RM, Freimer N, London ED, Hultman CM, Cannon TD. Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia. Schizophrenia Bulletin 2018, 44: 1045-1052. PMID: 29534239, PMCID: PMC6101611, DOI: 10.1093/schbul/sby005.
- Bigger Data, Harder Questions—Opportunities Throughout Mental Health CareChekroud A. Bigger Data, Harder Questions—Opportunities Throughout Mental Health Care. JAMA Psychiatry 2017, 74: 1183-1184. PMID: 29094160, DOI: 10.1001/jamapsychiatry.2017.3333.
- The perilous path from publication to practiceChekroud A, Koutsouleris N. The perilous path from publication to practice. Molecular Psychiatry 2017, 23: 24-25. PMID: 29112192, DOI: 10.1038/mp.2017.227.
- Differences in words used to describe racial and gender groups in Medical Student Performance EvaluationsRoss DA, Boatright D, Nunez-Smith M, Jordan A, Chekroud A, Moore EZ. Differences in words used to describe racial and gender groups in Medical Student Performance Evaluations. PLOS ONE 2017, 12: e0181659. PMID: 28792940, PMCID: PMC5549898, DOI: 10.1371/journal.pone.0181659.
- Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering ApproachChekroud AM, Gueorguieva R, Krumholz HM, Trivedi MH, Krystal JH, McCarthy G. Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach. JAMA Psychiatry 2017, 74: 370-378. PMID: 28241180, PMCID: PMC5863470, DOI: 10.1001/jamapsychiatry.2017.0025.
- Computational Psychiatry and the Challenge of SchizophreniaKrystal JH, Murray JD, Chekroud AM, Corlett PR, Yang G, Wang XJ, Anticevic A. Computational Psychiatry and the Challenge of Schizophrenia. Schizophrenia Bulletin 2017, 43: sbx025. PMID: 28338845, PMCID: PMC5464204, DOI: 10.1093/schbul/sbx025.
- SU96. The Role of MicroRNA Expression in Cortical Development During Conversion to PsychosisZheutlin A, Jeffries C, Perkins D, Chung Y, Chekroud A, Addington J, Bearden C, Cadenhead K, Cornblatt B, Mathalon D, McGlashan T, Seidman L, Walker E, Woods S, Tsuang M, Cannon T. SU96. The Role of MicroRNA Expression in Cortical Development During Conversion to Psychosis. Schizophrenia Bulletin 2017, 43: s196-s196. PMCID: PMC5476125, DOI: 10.1093/schbul/sbx024.092.
- The Role of microRNA Expression in Cortical Development During Conversion to PsychosisZheutlin AB, Jeffries CD, Perkins DO, Chung Y, Chekroud AM, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Mathalon DH, McGlashan TH, Seidman LJ, Walker EF, Woods SW, Tsuang M, Cannon TD. The Role of microRNA Expression in Cortical Development During Conversion to Psychosis. Neuropsychopharmacology 2017, 42: 2188-2195. PMID: 28186095, PMCID: PMC5603810, DOI: 10.1038/npp.2017.34.
- Trajectories of relapse in randomised, placebo-controlled trials of treatment discontinuation in major depressive disorder: an individual patient-level data meta-analysisGueorguieva R, Chekroud AM, Krystal JH. Trajectories of relapse in randomised, placebo-controlled trials of treatment discontinuation in major depressive disorder: an individual patient-level data meta-analysis. The Lancet Psychiatry 2017, 4: 230-237. PMID: 28189575, PMCID: PMC5340978, DOI: 10.1016/s2215-0366(17)30038-x.
- Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndromeChekroud A, Anand G, Yong J, Pike M, Bridge H. Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome. Developmental Medicine & Child Neurology 2016, 59: 98-104. PMID: 27658927, DOI: 10.1111/dmcn.13262.
- Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approachKoutsouleris N, Kahn R, Chekroud A, Leucht S, Falkai P, Wobrock T, Derks E, Fleischhacker W, Hasan A. Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach. The Lancet Psychiatry 2016, 3: 935-946. PMID: 27569526, DOI: 10.1016/s2215-0366(16)30171-7.
- Unifying treatments for depression: an application of the Free Energy PrincipleChekroud A. Unifying treatments for depression: an application of the Free Energy Principle. Frontiers In Psychology 2015, 6: 153. PMID: 25750630, PMCID: PMC4335302, DOI: 10.3389/fpsyg.2015.00153.
- Cerebellar and cortical abnormalities in paediatric opsoclonus‐myoclonus syndromeAnand G, Bridge H, Rackstraw P, Chekroud A, Yong J, Stagg C, Pike M. Cerebellar and cortical abnormalities in paediatric opsoclonus‐myoclonus syndrome. Developmental Medicine & Child Neurology 2014, 57: 265-272. PMID: 25290446, DOI: 10.1111/dmcn.12594.
- A review of neuroimaging studies of race-related prejudice: does amygdala response reflect threat?Chekroud A, Everett J, Bridge H, Hewstone M. A review of neuroimaging studies of race-related prejudice: does amygdala response reflect threat? Frontiers In Human Neuroscience 2014, 8: 179. PMID: 24734016, PMCID: PMC3973920, DOI: 10.3389/fnhum.2014.00179.