Prediction of the Cognitive Effects of Electroconvulsive Therapy Via Machine Learning and Neuroimaging
NCT ID: NCT03490149
Last Updated: 2022-05-25
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
180 participants
OBSERVATIONAL
2018-01-02
2022-12-01
Brief Summary
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Therefore, structural, resting-state and diffusion tensor images will be collected within one week before the first and after the last ECT treatment from severely depressed patients. Standard measures of cognitive function and specifically episodic as well as autobiographical memory will also be collected longitudinally and used for prediction. The study consists of 60 ECT receiving inpatients suffering from major unipolar or bipolar depression, 60 medication-only controls and 60 healthy controls.
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Detailed Description
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Still, in terms of the tolerability, memory disturbances remain the most problematic effect of ECT. Besides subjective reports from patients after a course of ECT, experimental studies have also found evidence of episodic and autobiographical memory impiarment attributable to ECT. The origins of these effects are still largely unknown and remain a goal for further research.
It has now been shown that structural T1 weighted MR-images can be used to predict the response to a course of ECT via machine learning. Therefore, this study aims to use machine learning to predict the occurrence of episodic and specifically autobiographical memory deficits arising within a course of electroconvulsive therapy based on MR-images collected within one week before the first ECT treatment from severely depressed patients. Additionally, the neurophysiological correlates of the cognitive effects modulated by a course of ECT will be investigated longitudinally through the use of structural, resting-state and diffusion tensor images. The study consists of 60 ECT receiving inpatients suffering from major unipolar or bipolar depression.
If successful, this line of research should lead to a better tolerability of ECT by aiding in the complex decision making process involved in prescribing ECT as well as the parameter setting within a treatment course (e.g. uni- vs. bilateral).
Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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ECT
Electroconvulsive Therapy
Series of electroconvulsive therapy for major depressive disorder
Medication - Treatment as usual
Medication - Treatment as usual
Medication only sample - Treatment as usual
Healthy controls
No interventions assigned to this group
Interventions
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Electroconvulsive Therapy
Series of electroconvulsive therapy for major depressive disorder
Medication - Treatment as usual
Medication only sample - Treatment as usual
Eligibility Criteria
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Inclusion Criteria
* The duration of the current depressive episode is less than five years
* Inpatients of the psychiatric clinic of the University Hospital Bonn and eligible for ECT because of major depressive disorder or major depressive episode in bipolar disorder (according to DSM-5 criteria)
* Score on HDRS 28 ≥ 20
* Ability to understand the purpose of and procedures required for the study and willingness to consent to participation
* Meeting of standard medical prerequisites for ECT (judged by staff psychiatrist)
* Ability to speak and understand the german language
Exclusion Criteria
* Current (or within the last year) posttraumatic stress disorder
* Schizophrenia or any other psychotic disorder except for psychotic depression
* Severe somatic or neurological condition (e.g. stroke)
* Head trauma resulting in unconsciousness for more than 5 minutes
* Pregnancy
* Maintenance ECT or ECT received during the last 6 month
* Subjects who do not consent to be informed of incidental findings that could have healthcare implications
* Drug or alcohol dependence (\<6 month before ECT)
* Is currently enrolled in a study with an investigational study drug
* Has any condition that, in the opinion of the investigator, would compromise the wellbeing of the subject or the study or prevent the subject from meeting or performing study requirements
18 Years
85 Years
ALL
No
Sponsors
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Maximilian Kiebs, M.Sc. - University Hospital Bonn (Department of Medical Psychology)
UNKNOWN
University Hospital, Bonn
OTHER
Responsible Party
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Rene Hurlemann
Prof. Dr. Dr.
Principal Investigators
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Rene Hurlemann, Prof.
Role: STUDY_DIRECTOR
University Hospital, Bonn
Locations
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Klinik und Poliklinik für Psychiatrie und Psychotherapie
Bonn, North Rhine-Westphalia, Germany
Countries
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Central Contacts
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Facility Contacts
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References
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Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R, Murray CJ, Vos T. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013 Nov 9;382(9904):1575-86. doi: 10.1016/S0140-6736(13)61611-6. Epub 2013 Aug 29.
Sinyor M, Schaffer A, Levitt A. The sequenced treatment alternatives to relieve depression (STAR*D) trial: a review. Can J Psychiatry. 2010 Mar;55(3):126-35. doi: 10.1177/070674371005500303.
UK ECT Review Group. Efficacy and safety of electroconvulsive therapy in depressive disorders: a systematic review and meta-analysis. Lancet. 2003 Mar 8;361(9360):799-808. doi: 10.1016/S0140-6736(03)12705-5.
Haq AU, Sitzmann AF, Goldman ML, Maixner DF, Mickey BJ. Response of depression to electroconvulsive therapy: a meta-analysis of clinical predictors. J Clin Psychiatry. 2015 Oct;76(10):1374-84. doi: 10.4088/JCP.14r09528.
Sackeim HA. Modern Electroconvulsive Therapy: Vastly Improved yet Greatly Underused. JAMA Psychiatry. 2017 Aug 1;74(8):779-780. doi: 10.1001/jamapsychiatry.2017.1670. No abstract available.
Slade EP, Jahn DR, Regenold WT, Case BG. Association of Electroconvulsive Therapy With Psychiatric Readmissions in US Hospitals. JAMA Psychiatry. 2017 Aug 1;74(8):798-804. doi: 10.1001/jamapsychiatry.2017.1378.
Aoki Y, Yamaguchi S, Ando S, Sasaki N, Bernick PJ, Akiyama T. The experience of electroconvulsive therapy and its impact on associated stigma: A meta-analysis. Int J Soc Psychiatry. 2016 Dec;62(8):708-718. doi: 10.1177/0020764016675379. Epub 2016 Oct 26.
Bailine S. Reimbursement and documentation issues in an ambulatory ECT program. J ECT. 1998 Dec;14(4):255-8.
Case BG, Bertollo DN, Laska EM, Price LH, Siegel CE, Olfson M, Marcus SC. Declining use of electroconvulsive therapy in United States general hospitals. Biol Psychiatry. 2013 Jan 15;73(2):119-26. doi: 10.1016/j.biopsych.2012.09.005. Epub 2012 Oct 8.
Wilhelmy S, Rolfes V, Grozinger M, Chikere Y, Schottle S, Gross D. Knowledge and attitudes on electroconvulsive therapy in Germany: A web based survey. Psychiatry Res. 2018 Apr;262:407-412. doi: 10.1016/j.psychres.2017.09.015. Epub 2017 Sep 11.
Wilkinson D, Daoud J. The stigma and the enigma of ECT. Int J Geriatr Psychiatry. 1998 Dec;13(12):833-5. doi: 10.1002/(sici)1099-1166(1998120)13:123.0.co;2-r. No abstract available.
Dwork AJ, Arango V, Underwood M, Ilievski B, Rosoklija G, Sackeim HA, Lisanby SH. Absence of histological lesions in primate models of ECT and magnetic seizure therapy. Am J Psychiatry. 2004 Mar;161(3):576-8. doi: 10.1176/appi.ajp.161.3.576.
Semkovska M, McLoughlin DM. Objective cognitive performance associated with electroconvulsive therapy for depression: a systematic review and meta-analysis. Biol Psychiatry. 2010 Sep 15;68(6):568-77. doi: 10.1016/j.biopsych.2010.06.009. Epub 2010 Jul 31.
Payne NA, Prudic J. Electroconvulsive therapy: Part I. A perspective on the evolution and current practice of ECT. J Psychiatr Pract. 2009 Sep;15(5):346-68. doi: 10.1097/01.pra.0000361277.65468.ef.
Prudic J, Peyser S, Sackeim HA. Subjective memory complaints: a review of patient self-assessment of memory after electroconvulsive therapy. J ECT. 2000 Jun;16(2):121-32. doi: 10.1097/00124509-200006000-00004.
Lisanby SH, Maddox JH, Prudic J, Devanand DP, Sackeim HA. The effects of electroconvulsive therapy on memory of autobiographical and public events. Arch Gen Psychiatry. 2000 Jun;57(6):581-90. doi: 10.1001/archpsyc.57.6.581.
Sackeim HA. Autobiographical memory and electroconvulsive therapy: do not throw out the baby. J ECT. 2014 Sep;30(3):177-86. doi: 10.1097/YCT.0000000000000117.
Sackeim HA. Memory and ECT: from polarization to reconciliation. J ECT. 2000 Jun;16(2):87-96. doi: 10.1097/00124509-200006000-00001. No abstract available.
Redlich R, Opel N, Grotegerd D, Dohm K, Zaremba D, Burger C, Munker S, Muhlmann L, Wahl P, Heindel W, Arolt V, Alferink J, Zwanzger P, Zavorotnyy M, Kugel H, Dannlowski U. Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data. JAMA Psychiatry. 2016 Jun 1;73(6):557-64. doi: 10.1001/jamapsychiatry.2016.0316.
Other Identifiers
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CoEffECT - Study
Identifier Type: -
Identifier Source: org_study_id
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