| CTRI Number |
CTRI/2024/03/064734 [Registered on: 26/03/2024] Trial Registered Prospectively |
| Last Modified On: |
01/07/2024 |
| Post Graduate Thesis |
No |
| Type of Trial |
Interventional |
|
Type of Study
|
Medical Device |
| Study Design |
Randomized, Parallel Group Trial |
|
Public Title of Study
|
Comparison of seizure generating versus non-seizure generating electroconvulsive therapy (ECT) for treating depression |
|
Scientific Title of Study
|
A proof-of-concept study to compare the effectiveness and tolerability of convulsive versus sub-convulsive stimuli of modified electroconvulsive therapy |
| Trial Acronym |
NIL |
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Rohit Verma |
| Designation |
Additional Professor |
| Affiliation |
All India Institute of Medical Sciences |
| Address |
Room No. 4096, 4th Floor, Teaching Block AIIMS, Ansari Nagar South DELHI 110029 India |
| Phone |
09868005491 |
| Fax |
|
| Email |
rohit.aiims@gmail.com |
|
Details of Contact Person Scientific Query
|
| Name |
Rohit Verma |
| Designation |
Additional Professor |
| Affiliation |
All India Institute of Medical Sciences |
| Address |
Room No. 4096, 4th Floor, Teaching Block AIIMS, Ansari Nagar
DELHI 110029 India |
| Phone |
09868005491 |
| Fax |
|
| Email |
rohit.aiims@gmail.com |
|
Details of Contact Person Public Query
|
| Name |
Rohit Verma |
| Designation |
Additional Professor |
| Affiliation |
All India Institute of Medical Sciences |
| Address |
Room No. 4096, 4th Floor, Teaching Block AIIMS, Ansari Nagar
DELHI 110029 India |
| Phone |
09868005491 |
| Fax |
|
| Email |
rohit.aiims@gmail.com |
|
|
Source of Monetary or Material Support
|
| All India Institute of Medical Sciences New Delhi |
|
|
Primary Sponsor
|
| Name |
All India Institute of Medical Sciences New Delhi |
| Address |
Ansari Nagar New Delhi |
| Type of Sponsor |
Government medical college |
|
|
Details of Secondary Sponsor
|
|
|
Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 1 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| D Rohit Verma |
All India Institute of Medical Science New Delhi |
Room No. 4096, 4th Floor, Teaching Block Department of Psychiatry, AIIMS, Ansari Nagar New Delhi South DELHI |
09868005491
rohit.aiims@gmail.com |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| Institute Ethics Committee AIIMS New Delhi |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Patients |
(1) ICD-10 Condition: F322||Major depressive disorder, singleepisode, severe without psychotic features, |
|
|
Intervention / Comparator Agent
|
| Type |
Name |
Details |
| Comparator Agent |
Standard Convulsive mECT Stimulation protocol |
The stimulus intensity will be determined by a dose titration procedure (starting at 25.2mC) and seizure threshold will be identified in the first session. Then, electrical dose will be determined by multiplying seizure threshold dose by 6 times in the following 8 sessions. If seizure duration is less than 20s for motor or less than 25s for EEG (aborted seizure), electrical dose would be increased as per the standard stimulation protocol followed in the MECT facility. Three sessions per week would be provided keeping the total study time as 3 weeks (consisting of 8 sessions). |
| Intervention |
Sub-convulsive mECT Stimulation protocol |
The stimulus intensity will be determined by a dose titration procedure (starting at 25.2mC) and seizure threshold will be identified in the first session. Then stimulus dosages in subsequent 8 sessions will be kept below the seizure threshold. Three sessions per week would be provided keeping the total study time as 3 weeks (consisting of 8 sessions). |
|
|
Inclusion Criteria
|
| Age From |
18.00 Year(s) |
| Age To |
60.00 Year(s) |
| Gender |
Both |
| Details |
1.Age 18-60 years
2.Willing to give informed consent
3.Ability to read Hindi or English language
4.Fulfilling criteria of major depressive disorder as per Diagnostic and Statistical Manual 5th version (DSM 5) in group 1 & 2
5.Treatment resistance will be defined as the failure to respond to 2 adequate trials of different classes of antidepressant medications (Sackeim, 2001)
6.Patients referred for ECT (for all study patients, a clinical decision to pursue neuromodulation would have already been made. Clinical treatment will be performed independently of this study).
7.No changes in psychiatric medications for at least one month prior to study and willingness to not change during study |
|
| ExclusionCriteria |
| Details |
1.Patients with chronic neurological or other physical illness (like coronary artery disease or cardiac arrhythmia)
2.Suffering from any other psychiatric disorder other than major depressive disorder in their respective groups
3.Persistent mood disorders (dysthymia) and other and unspecified depressions based on DSM 5
4.History of significant head trauma
5.Patients with ongoing alcohol or other substance abuse or dependence (except nicotine and caffeine)
6.Any history of seizure
7.Previous history of receiving any surgical procedures or electrical or magnetic stimulation on brain
8.Known or suspected pregnancy or lactating females
9.History of serious, potentially life-threatening reaction to anesthesia or succinylcholine |
|
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Method of Generating Random Sequence
|
Computer generated randomization |
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Method of Concealment
|
Case Record Numbers |
|
Blinding/Masking
|
Participant and Investigator Blinded |
|
Primary Outcome
|
| Outcome |
TimePoints |
| Significant improvement in depressive symptoms defined as more than 50 percent reduction in baseline HAMD scores will be the primary clinical outcome |
At baseline before first mECT session and at 3rd week after 8 mECT sessions |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
| Changes in activation & connectivity seen on fNIRS & qEEG during resting state as well as activation state (in response to emotional tasks) scans & changes in BDNF levels will be correlated to clinical changes of scores |
At baseline before first mECT session & at 3rd week after 8 mECT sessions |
| Side effects in both groups will be assessed to compare the tolerability of the procedure |
At baseline before first mECT session & at 3rd week after 8 mECT sessions |
|
|
Target Sample Size
|
Total Sample Size="10" Sample Size from India="10"
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" |
|
Phase of Trial
|
Phase 3/ Phase 4 |
|
Date of First Enrollment (India)
|
01/04/2024 |
| Date of Study Completion (India) |
Applicable only for Completed/Terminated trials |
| Date of First Enrollment (Global) |
Date Missing |
| Date of Study Completion (Global) |
Applicable only for Completed/Terminated trials |
|
Estimated Duration of Trial
|
Years="1" Months="0" Days="0" |
Recruitment Status of Trial (Global)
Modification(s)
|
Not Applicable |
| Recruitment Status of Trial (India) |
Open to Recruitment |
|
Publication Details
|
N/A |
|
Individual Participant Data (IPD) Sharing Statement
|
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
Response - NO
|
|
Brief Summary
|
ECT is a neuromodulation-based treatment approach for mental ailment that elicits dramatic clinical improvement. It was developed on the premise that Epilepsy and Psychosis were alternating and individuals exhibited opposite features while one of the symptoms dominated. Thus, it was thought that seizures were essential to curb symptoms of psychosis. However, the effectiveness of ECT has not been conclusively linked with presence of convulsions. Rather even the duration of seizure after ECT has not been associated with the clinical response. On the other hand, animal studies have shown that electrical brain stimulation can induce antidepressant-like effects without inducing seizures. In human beings, historical evidence does suggest that reports from the 1940s and 1950s that "sub-convulsive" and "non-convulsive" electrotherapies were effective for some patients without adverse cognitive effects. Moreover, the recent neuromodulation techniques like repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) does not induce seizures and still have been shown to be effective in improving symptoms of mental disorders particularly depression. And there is even report that sub-convulsive electrical stimulation while determining seizure threshold during a course of ECT does not have acute effects on cognition. There are different explanations for the effectiveness of sub-convulsive stimulus of ECT but there are limited studies of it in humans. The studies on response of patients to sub-convulsive stimulus are also lacking. Since the cognitive side effects are also less with sub-convulsive ECT, which is a major drawback for usual ECT, our aim is to study the response of sub-convulsive stimulus of ECT in individuals with treatment resistant depression (TRD). Studies on functional neuroimaging show that treatment is capable of normalizing brain activations in patients. But these studies are conducted majorly using fMRI or PET techniques. The heavy cost and time consumption of these techniques make them user unfriendly. Newer technique as fNIRS scan can perform the similar task of evaluating cortical hemodynamic activation pattern with ease of use. Studies on electrical cortical activities using qEEG have generated a plethora of data reporting abnormalities in patients and have been associated to treatment response. Studies have also suggested that BDNF might be a potential biomarker for mental illnesses representing neuronal integrity. There are studies suggesting potential role of BDNF as biomarker in ECT. Significant changes in serum BDNF levels, cerebral Hb changes and event related potentials over time after receiving ECT will shed light over the potential mechanisms of treatment effectiveness in this illness. The correlation analysis to illness severity scale scores will reflect their association with treatment response pattern. It can pave way towards elaboration of the understanding by which such techniques generate effects in patients with TRD. This would increase the effectiveness of the treatment program as biomarkers can serve as objective indicators of health status. The difference in these parameters among the individuals with depressive disorder will further strengthen the association of the biomarkers (singularly or in combination) to a specific disorder |