Prediction of Antidepressant Effects of Electroconvulsive Therapy

Despite its successful use for more than 80 years, the mechanisms of action of electroconvulsive therapy (ECT) are still not fully understood. ECT has been shown to be accompanied by changes in regional brain volumes and connectivity measures, as well as biochemical alterations. However, how these changes relate to ECT response remains to be further elucidated; up to now, there are no objective markers for the targeted use of ECT in clinical practice.

Methods: Study design: longitudinal mono-centre study with duration of 36 months. Subjects: 30 depressed patients (aged 18-65 years) eligible for ECT. Measurements: subjects will undergo 2 3-Tesla MRI scans (one before and one after a course of ECT), including structural MRI, resting-state functional MRI, task-based functional MRI and MR spectroscopy. Blood, CSF sampling and clinical assessments will be performed once before and once after the ECT course. ECT: Each patient will be treated in a min. of 8 bitemporal ECT sessions (~4 weeks). Data analysis: Longitudinal changes in brain imaging parameters and laboratory measures (before/after ECT) will be assessed using repeated-measures analysis of covariance. Machine learning with random forests will be employed to identify a pattern of pretreatment imaging, biochemical (serum and CSF) and clinical parameters that are best qualified to predict response to ECT as defined by a reduction of ≥50% of baseline HAMD17.

Hypotheses: 1. ECT will be accompanied by changes in brain morphology, functional connectivity, neuronal activation in response to cognitive and reward-related stimuli and neurochemical signals in the brain. 2. ECT leads to changes in blood- and CSF-based markers of neuronal plasticity, neurodegeneration and inflammation, as well as genetic/epigenetic markers. 3. Predictive markers of ECT response can be established based on the relationships between imaging, neurochemical and clinical markers and treatment response.

Innovation: This study would be the first to combine multimodal MRI measures with the assessment of biomarkers in the CSF in the context of ECT. The implementation of the proposed trial represents an important step towards a better understanding of the powerful antidepressant properties of ECT. By relating treatment effects and potentially underlying biological mechanisms on numerous complementary levels, the study might help to identify biomarkers that distinguish patients who are likely to benefit from ECT from non-responders. Ultimately, results of the study might be useful in order to establish an individualized medical indication for ECT.

Study Overview

• Status: Recruiting
• Conditions: Depressive Disorder, Major
• Intervention / Treatment: Other: Electroconvulsive therapy

• Study Type: Observational
• Enrollment (Estimated): 30

Contacts and Locations

• Study Contact: Name: Pia Baldinger-Melich, MD, PhD, PD, Assoc.Prof.; Phone Number: +43 1 40400 35350; Email: pia.baldinger-melich@meduniwien.ac.at

Study Locations

• Austria
  • Vienna, Austria, 1090
    • Recruiting
    • Department of Psychiatry and Psychotherapy, Medical University of Vienna
    • Contact: Pia Baldinger-Melich, MD, PhD, PD, Assoc. Prof.; Phone Number: +43 1 4040035350; Email: pia.baldinger-melich@meduniwien.ac.at

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 65 years (Adult, Older Adult)
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

30 patients with a major depressive episode (unipolar depression) as determined by a structured clinical interview for DSM-5 (SCID-5-clinical version) and the 17-item Hamilton rating scale for depression (HAM-D score ≥ 23) who did not respond to conventional pharmacological antidepressant treatment and are eligible for ECT will be recruited at the Department of Psychiatry and Psychotherapy at the General Hospital of Vienna.

Description

Inclusion Criteria:

• male or female inpatients (18-65 years old)
• ICD-10 diagnosis of severe unipolar depression (F32.2, F32.3, F33.2, F33.3)
• HAMD17 ≥ 23
• physical health
• ability to understand and willingness to sign the written informed consent document
• negative drug screening, negative urine pregnancy test in women
• antidepressant and antipsychotic medication in steady state for at least 10 days prior inclusion
• anesthesiological approval for ECT

Excusion criteria:

• severe somatic or neurological disease
• current comorbid psychiatric disorder, including bipolar depression (according to DSM-5)
• current or past history of schizophrenia or schizoaffective disorder
• current use of alcohol, drugs of abuse, or any medication in a manner which is indicative of chronic abuse or who meet DSM-5 criteria for alcohol or other substance dependence
• clinically relevant abnormalities on a general physical examination and routine laboratory screening
• pregnancy, breast feeding
• contraindications to lumbar puncture (increased intracranial volume, anticoagulant medication, uncorrected bleeding diathesis, coagulopathy, congenital spine abnormality, recent spinal trauma/surgery, skin infection at puncture site)
• any implant or stainless steel graft contraindicated for MRI

Study Plan

How is the study designed?

Design Details

• Observational Models: Cohort
• Time Perspectives: Prospective

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Depression; Depressive patients (pharmaco-resistant) undergoing electroconvulsive therapy	Other: Electroconvulsive therapy; repetitive induction of a generalized seizure under controlled conditions (muscle relaxation and sedation)

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
imaging parameter - sMRI	cortical thickness	3 years
imaging parameters - DTI	mean diffusivity	3 years
imaging parameters - fMRI	BOLD activity (task-based fMRI for cognition and anhedonia)	3 years
imaging parameters - rsfMRI	BOLD activity (rsfMRI)	3 years
imaging parameters - MRS	Glx, NAA and GABA concentrations (MRS)	3 years
biochemical parameters - neurodegeneration	concentrations of markers of neurodegeneration serum and CSF	3 years
biochemical parameters - inflammation	concentrations of markers of neuroinflammation serum and CSF	3 years
biochemical parameters - neurplasticity	concentrations of markers of neuroplasticity serum and CSF	3 years
response prediction	machine learning - how do outcome 1 and 2 relate to response to ECT	3 years

Collaborators and Investigators

• Sponsor: Medical University of Vienna

Study record dates

Study Major Dates

• Study Start (Actual): December 1, 2022
• Primary Completion (Estimated): May 30, 2026
• Study Completion (Estimated): November 30, 2026

Study Registration Dates

• First Submitted: November 10, 2022
• First Submitted That Met QC Criteria: November 18, 2022
• First Posted (Actual): November 29, 2022

Study Record Updates

• Last Update Posted (Estimated): September 25, 2025
• Last Update Submitted That Met QC Criteria: September 22, 2025
• Last Verified: September 1, 2025

More Information

Terms related to this study

• Keywords: neuroimaging; biomarker; electroconvulsive therapy; response prediction
• Additional Relevant MeSH Terms: Mental Disorders; Mood Disorders; Depressive Disorder; Depressive Disorder, Major; Behavioral Disciplines and Activities; Convulsive Therapy; Psychiatric Somatic Therapies; Electroshock; Psychological Techniques; Electroconvulsive Therapy
• Other Study ID Numbers: KLI 1098-B

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No
• product manufactured in and exported from the U.S.: No