International Study to Predict Optimised Treatment - in Depression
iSPOT-D
1 other identifier
interventional
2,688
5 countries
20
Brief Summary
The aim of this study is to identify genetic, physical (brain) and psychological (cognitive) markers (or combinations of them) that predict specific response to a range of antidepressants treatment (Escitalopram, Venlafaxine, Sertraline) in patients diagnosed with major depressive disorder. This study is focused on outcomes which may impact on how "personalised medicine" is implemented in depression.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for phase_4 major-depressive-disorder
Started Sep 2008
Longer than P75 for phase_4 major-depressive-disorder
20 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 6, 2008
CompletedFirst Posted
Study publicly available on registry
June 9, 2008
CompletedStudy Start
First participant enrolled
September 1, 2008
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2019
CompletedJuly 11, 2018
July 1, 2018
11.3 years
June 6, 2008
July 9, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
To determine whether the genetic-brain-cognition function markers (or combination of markers) 'normalise' with acute drug treatment in MDD
Week 8
Secondary Outcomes (1)
To determine whether markers of acute treatment prediction are also predictive of functional outcome over 6-12 months.
52-weeks
Study Arms (4)
A
ACTIVE COMPARATOREscitalopram
B
ACTIVE COMPARATORSertraline
C
ACTIVE COMPARATORVenlafaxine-XR
D
NO INTERVENTIONHealthy matched controls
Interventions
Eligibility Criteria
You may qualify if:
- Meet DSM-IV criteria for primary diagnosis of MDD.
- HAM-D17 score of ≥ 16.
- years age-range
- Subjects with English or Dutch literacy and fluency.
- Written, informed consent.
You may not qualify if:
- Presence of suicidal ideations and/or tendencies (as determined by a score \>12 on Section C, Suicidality, of the MINI Plus), Bipolar I-III, psychosis, primary eating disorders, Post Traumatic Stress Disorder (PTSD), Obsessive Compulsive Disorder (OCD), Post-Natal Depression as well as any Axis II personality disorders as diagnosed using the MINI Plus or by a health care professional.
- Pregnancy and women of child bearing potential who are not taking a medically accepted form of contraception and are at risk of becoming pregnant during the study.
- Breastfeeding.
- Known contra-indication or intolerance to the use of Escitalopram, Sertraline or Venlafaxine XR as defined in the product package insert for each drug (including previous treatment failure at the highest recommended dose).
- Use of any psychological or counselling therapy or antidepressant/CNS drug which cannot be washed out prior to participation and eliminated until after Week 8 or discontinuation.
- Use of any medication which is known to be contraindicated with Escitalopram, Sertraline, or Venlafaxine XR (refer to the product package insert for each drug).
- Known medical condition, disease or neurological disorder which might, in the opinion of investigator/s, interfere with the assessments to be made in the study or put subjects at increased risk when exposed to optimal doses of the drug treatment.
- History of head injury with loss of consciousness for at least 10 minutes.
- Recent/current substance dependence (as defined in Section K of the Mini Plus as per a 6 months period and/or alcoholism) in the past six months.
- Participation in an investigational study within four months of the baseline visit in which subjects have received an experimental drug/device that could affect the primary end points of this study.
- Subjects who, in the opinion of the investigator, have a severe impediment to vision, hearing and/or hand movement, which is likely to interfere with their ability to complete the test batteries.
- Subjects who, in the opinion of the investigator, are unable and/or unlikely to comprehend and follow the study procedures and instructions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (20)
Shanti Clinical Trials
Colton, California, 92324, United States
A.D.D. Treatment Center
Mission Viejo, California, 92691, United States
Stanford University
Stanford, California, 94305, United States
Veteran Affairs/Stanford University
Stanford, California, 94305, United States
Center for Healing the Human Spirit
Tarzana, California, 91356, United States
University of Miami
Miami, Florida, 33136, United States
University of Missouri - St. Louis
St Louis, Missouri, 63121, United States
Brain Resource Center
Englewood Cliffs, New Jersey, 07632, United States
Brain Resource Center
New York, New York, 10023, United States
Weill Cornell Medical College
White Plains, New York, 10605, United States
Skyland Behavioral Health Associates , P.A.
Asheville, North Carolina, 28801, United States
Ohio State University
Columbus, Ohio, 43210, United States
NeuroDevelopment Center
Providence, Rhode Island, 02903, United States
Brain Dynamics Centre
Westmead, New South Wales, 2145, Australia
Flinders University
Adelaide, South Australia, 5042, Australia
Swinburne University
Melbourne, Victoria, 3122, Australia
The Alfred Hospital
Melbourne, Victoria, 3181, Australia
Brainclinics Diagnostics B.V.
Nijmegen, Gelderland, 6524 AD, Netherlands
University of Auckland
Auckland, 1142, New Zealand
Brain Health Lab
Johannesburg, Guatang, 2191, South Africa
Related Publications (32)
Hack LM, Tozzi L, Zenteno S, Olmsted AM, Hilton R, Jubeir J, Korgaonkar MS, Schatzberg AF, Yesavage JA, O'Hara R, Williams LM. A Cognitive Biotype of Depression and Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes: A Prespecified Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open. 2023 Jun 1;6(6):e2318411. doi: 10.1001/jamanetworkopen.2023.18411.
PMID: 37318808DERIVEDHietamies TM, McInnes LA, Klise AJ, Worley MJ, Qian JJ, Williams LM, Heifets BD, Levine SP. The effects of ketamine on symptoms of depression and anxiety in real-world care settings: A retrospective controlled analysis. J Affect Disord. 2023 Aug 15;335:484-492. doi: 10.1016/j.jad.2023.04.141. Epub 2023 May 16.
PMID: 37201900DERIVEDBraund TA, Tillman G, Palmer DM, Gordon E, Rush AJ, Harris AWF. Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: an iSPOT-D report. Transl Psychiatry. 2021 Aug 4;11(1):417. doi: 10.1038/s41398-021-01533-1.
PMID: 34349116DERIVEDKrepel N, Benschop L, Baeken C, Sack AT, Arns M. An EEG signature of suicidal behavior in female patients with major depressive disorder? A non-replication. Biol Psychol. 2021 Apr;161:108058. doi: 10.1016/j.biopsycho.2021.108058. Epub 2021 Feb 26.
PMID: 33647333DERIVEDFischer AS, Holt-Gosselin B, Fleming SL, Hack LM, Ball TM, Schatzberg AF, Williams LM. Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial. Neuropsychopharmacology. 2021 Mar;46(4):809-819. doi: 10.1038/s41386-020-00905-3. Epub 2020 Nov 23.
PMID: 33230268DERIVEDRajpurkar P, Yang J, Dass N, Vale V, Keller AS, Irvin J, Taylor Z, Basu S, Ng A, Williams LM. Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open. 2020 Jun 1;3(6):e206653. doi: 10.1001/jamanetworkopen.2020.6653.
PMID: 32568399DERIVEDKorgaonkar MS, Goldstein-Piekarski AN, Fornito A, Williams LM. Intrinsic connectomes are a predictive biomarker of remission in major depressive disorder. Mol Psychiatry. 2020 Jul;25(7):1537-1549. doi: 10.1038/s41380-019-0574-2. Epub 2019 Nov 6.
PMID: 31695168DERIVEDTozzi L, Goldstein-Piekarski AN, Korgaonkar MS, Williams LM. Connectivity of the Cognitive Control Network During Response Inhibition as a Predictive and Response Biomarker in Major Depression: Evidence From a Randomized Clinical Trial. Biol Psychiatry. 2020 Mar 1;87(5):462-472. doi: 10.1016/j.biopsych.2019.08.005. Epub 2019 Aug 21.
PMID: 31601424DERIVEDBraund TA, Tillman G, Palmer DM, Harris AWF. Verbal memory predicts treatment outcome in syndromal anxious depression: An iSPOT-D report. J Affect Disord. 2020 Jan 1;260:245-253. doi: 10.1016/j.jad.2019.09.028. Epub 2019 Sep 4.
PMID: 31513968DERIVEDKeller AS, Ball TM, Williams LM. Deep phenotyping of attention impairments and the 'Inattention Biotype' in Major Depressive Disorder. Psychol Med. 2020 Oct;50(13):2203-2212. doi: 10.1017/S0033291719002290. Epub 2019 Sep 3.
PMID: 31477195DERIVEDHellewell SC, Welton T, Maller JJ, Lyon M, Korgaonkar MS, Koslow SH, Williams LM, Rush AJ, Gordon E, Grieve SM. Profound and reproducible patterns of reduced regional gray matter characterize major depressive disorder. Transl Psychiatry. 2019 Jul 24;9(1):176. doi: 10.1038/s41398-019-0512-8.
PMID: 31341158DERIVEDBraund TA, Palmer DM, Williams LM, Harris AWF. Dimensions of anxiety in Major depressive disorder and their use in predicting antidepressant treatment outcome: an iSPOT-D report. Psychol Med. 2020 Apr;50(6):1032-1042. doi: 10.1017/S0033291719000941. Epub 2019 Apr 26.
PMID: 31023398DERIVEDGraziano RC, Bruce SE, Paul RH, Korgaonkar MS, Williams LM. The effects of bullying in depression on white matter integrity. Behav Brain Res. 2019 May 2;363:149-154. doi: 10.1016/j.bbr.2019.01.054. Epub 2019 Jan 30.
PMID: 30710613DERIVEDKircanski K, Williams LM, Gotlib IH. Heart rate variability as a biomarker of anxious depression response to antidepressant medication. Depress Anxiety. 2019 Jan;36(1):63-71. doi: 10.1002/da.22843. Epub 2018 Oct 12.
PMID: 30311742DERIVEDMaller JJ, Broadhouse K, Rush AJ, Gordon E, Koslow S, Grieve SM. Increased hippocampal tail volume predicts depression status and remission to anti-depressant medications in major depression. Mol Psychiatry. 2018 Aug;23(8):1737-1744. doi: 10.1038/mp.2017.224. Epub 2017 Nov 14.
PMID: 29133948DERIVEDIseger TA, Korgaonkar MS, Kenemans JL, Grieve SM, Baeken C, Fitzgerald PB, Arns M. EEG connectivity between the subgenual anterior cingulate and prefrontal cortices in response to antidepressant medication. Eur Neuropsychopharmacol. 2017 Apr;27(4):301-312. doi: 10.1016/j.euroneuro.2017.02.002. Epub 2017 Feb 23.
PMID: 28237506DERIVEDGoldstein-Piekarski AN, Korgaonkar MS, Green E, Suppes T, Schatzberg AF, Hastie T, Nemeroff CB, Williams LM. Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants. Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):11955-11960. doi: 10.1073/pnas.1606671113. Epub 2016 Oct 10.
PMID: 27791054DERIVEDGrieve SM, Korgaonkar MS, Gordon E, Williams LM, Rush AJ. Prediction of nonremission to antidepressant therapy using diffusion tensor imaging. J Clin Psychiatry. 2016 Apr;77(4):e436-43. doi: 10.4088/JCP.14m09577.
PMID: 27137427DERIVEDShilyansky C, Williams LM, Gyurak A, Harris A, Usherwood T, Etkin A. Effect of antidepressant treatment on cognitive impairments associated with depression: a randomised longitudinal study. Lancet Psychiatry. 2016 May;3(5):425-35. doi: 10.1016/S2215-0366(16)00012-2. Epub 2016 Mar 16.
PMID: 26995298DERIVEDvan Dinteren R, Arns M, Kenemans L, Jongsma ML, Kessels RP, Fitzgerald P, Fallahpour K, Debattista C, Gordon E, Williams LM. Utility of event-related potentials in predicting antidepressant treatment response: An iSPOT-D report. Eur Neuropsychopharmacol. 2015 Nov;25(11):1981-90. doi: 10.1016/j.euroneuro.2015.07.022. Epub 2015 Aug 6.
PMID: 26282359DERIVEDKorgaonkar MS, Rekshan W, Gordon E, Rush AJ, Williams LM, Blasey C, Grieve SM. Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder. EBioMedicine. 2014 Dec 3;2(1):37-45. doi: 10.1016/j.ebiom.2014.12.002. eCollection 2015 Jan.
PMID: 26137532DERIVEDMiller S, McTeague LM, Gyurak A, Patenaude B, Williams LM, Grieve SM, Korgaonkar MS, Etkin A. COGNITION-CHILDHOOD MALTREATMENT INTERACTIONS IN THE PREDICTION OF ANTIDEPRESSANT OUTCOMES IN MAJOR DEPRESSIVE DISORDER PATIENTS: RESULTS FROM THE iSPOT-D TRIAL. Depress Anxiety. 2015 Aug;32(8):594-604. doi: 10.1002/da.22368. Epub 2015 Apr 27.
PMID: 25917683DERIVEDWilliams LM, Korgaonkar MS, Song YC, Paton R, Eagles S, Goldstein-Piekarski A, Grieve SM, Harris AW, Usherwood T, Etkin A. Amygdala Reactivity to Emotional Faces in the Prediction of General and Medication-Specific Responses to Antidepressant Treatment in the Randomized iSPOT-D Trial. Neuropsychopharmacology. 2015 Sep;40(10):2398-408. doi: 10.1038/npp.2015.89. Epub 2015 Mar 31.
PMID: 25824424DERIVEDSchatzberg AF, DeBattista C, Lazzeroni LC, Etkin A, Murphy GM Jr, Williams LM. ABCB1 Genetic Effects on Antidepressant Outcomes: A Report From the iSPOT-D Trial. Am J Psychiatry. 2015 Aug 1;172(8):751-9. doi: 10.1176/appi.ajp.2015.14050680. Epub 2015 Mar 27.
PMID: 25815420DERIVEDArnow BA, Blasey C, Williams LM, Palmer DM, Rekshan W, Schatzberg AF, Etkin A, Kulkarni J, Luther JF, Rush AJ. Depression Subtypes in Predicting Antidepressant Response: A Report From the iSPOT-D Trial. Am J Psychiatry. 2015 Aug 1;172(8):743-50. doi: 10.1176/appi.ajp.2015.14020181. Epub 2015 Mar 27.
PMID: 25815419DERIVEDKorgaonkar MS, Williams LM, Song YJ, Usherwood T, Grieve SM. Diffusion tensor imaging predictors of treatment outcomes in major depressive disorder. Br J Psychiatry. 2014 Oct;205(4):321-8. doi: 10.1192/bjp.bp.113.140376. Epub 2014 Jun 26.
PMID: 24970773DERIVEDKorgaonkar MS, Fornito A, Williams LM, Grieve SM. Abnormal structural networks characterize major depressive disorder: a connectome analysis. Biol Psychiatry. 2014 Oct 1;76(7):567-74. doi: 10.1016/j.biopsych.2014.02.018. Epub 2014 Mar 6.
PMID: 24690111DERIVEDMcRae K, Rekshan W, Williams LM, Cooper N, Gross JJ. Effects of antidepressant medication on emotion regulation in depressed patients: an iSPOT-D report. J Affect Disord. 2014 Apr;159:127-32. doi: 10.1016/j.jad.2013.12.037. Epub 2014 Jan 5.
PMID: 24679400DERIVEDGrieve SM, Korgaonkar MS, Etkin A, Harris A, Koslow SH, Wisniewski S, Schatzberg AF, Nemeroff CB, Gordon E, Williams LM. Brain imaging predictors and the international study to predict optimized treatment for depression: study protocol for a randomized controlled trial. Trials. 2013 Jul 18;14:224. doi: 10.1186/1745-6215-14-224.
PMID: 23866851DERIVEDKorgaonkar MS, Cooper NJ, Williams LM, Grieve SM. Mapping inter-regional connectivity of the entire cortex to characterize major depressive disorder: a whole-brain diffusion tensor imaging tractography study. Neuroreport. 2012 Jun 20;23(9):566-71. doi: 10.1097/WNR.0b013e3283546264.
PMID: 22562047DERIVEDWilliams LM, Rush AJ, Koslow SH, Wisniewski SR, Cooper NJ, Nemeroff CB, Schatzberg AF, Gordon E. International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol. Trials. 2011 Jan 5;12:4. doi: 10.1186/1745-6215-12-4.
PMID: 21208417DERIVEDKorgaonkar MS, Grieve SM, Koslow SH, Gabrieli JD, Gordon E, Williams LM. Loss of white matter integrity in major depressive disorder: evidence using tract-based spatial statistical analysis of diffusion tensor imaging. Hum Brain Mapp. 2011 Dec;32(12):2161-71. doi: 10.1002/hbm.21178. Epub 2010 Dec 17.
PMID: 21170955DERIVED
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Anthony Harris, MD
Brain Dynamics Centre
- PRINCIPAL INVESTIGATOR
Barbara A. Cohen, PhD
Center for Healing the Human Spirit
- PRINCIPAL INVESTIGATOR
Bruce Russell, PhD
University of Auckland, New Zealand
- PRINCIPAL INVESTIGATOR
Charles Debattista, MD
Stanford University
- PRINCIPAL INVESTIGATOR
Con Stough, PhD
Swinburne University
- PRINCIPAL INVESTIGATOR
Elizabeth Wallis, PhD
Brain Health Lab
- PRINCIPAL INVESTIGATOR
Harbans Multani, MD
Shanti Clinical Trials
- PRINCIPAL INVESTIGATOR
Jayashri Kulkarni, Prof
The Alfred and Delmont Private Hospital
- PRINCIPAL INVESTIGATOR
Jeffrey Wilson, PhD
A.D.D. Treatment Center
- PRINCIPAL INVESTIGATOR
Kamran Fallahpour, PhD
Brain Resource Center
- PRINCIPAL INVESTIGATOR
Larry Hirshberg, PhD
NeuroDevelopment Center
- PRINCIPAL INVESTIGATOR
Martijn Arns, PhD
Brainclinics Diagnostics B.V.
- PRINCIPAL INVESTIGATOR
Mona Ismail, MD
Brain Resource Center
- PRINCIPAL INVESTIGATOR
Paul Fitzgerald, PhD
The Alfred
- PRINCIPAL INVESTIGATOR
Richard Clark, PhD
Flinders University
- PRINCIPAL INVESTIGATOR
Roger deBeus, PhD
Skyland Behavioral Health Associates
- PRINCIPAL INVESTIGATOR
Steven Bruce, PhD
University of Missouri, St. Louis
- PRINCIPAL INVESTIGATOR
Subhdeep Virk, MD
Ohio State University
- PRINCIPAL INVESTIGATOR
Tim Usherwood, MD
Brain Dynamics Centre
- PRINCIPAL INVESTIGATOR
XiaoLei Yu Baran, MD
Cornell University
- PRINCIPAL INVESTIGATOR
Radu V Saveanu, MD
University of Miami
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 6, 2008
First Posted
June 9, 2008
Study Start
September 1, 2008
Primary Completion
December 1, 2019
Study Completion
December 1, 2019
Last Updated
July 11, 2018
Record last verified: 2018-07