Depression Clinical Trial
Official title:
Using Repetitive Transcranial Magnetic Stimulation (rTMS) for the Treatment of Depression
Repetitive Transcranial Magnetic Stimulation (rTMS) is a promising, novel, non-invasive therapy for depression. In fact, there is an FDA-approved depression protocol to stimulate the dorsolateral prefrontal cortex (dlPFC). Its efficacy and safety have improved significantly with continued research and clinical experience. However, it is not known how to identify potential patients who would benefit most from treatment. The primary goal of this study is to determine if changes in specific electroencephalogram (EEG) parameters after treatment can predict whether patients are responders or non-responders to rTMS. The second objective is to analyze changes in the functional connectivity of specific brain regions in responders compared to non-responders. The hypothesis is that through rTMS treatment, investigators will be able to increase the activity in the frontal region that includes the dorsolateral prefrontal cortex (DLPFC). Scalp EEG signals will be processed in order to compare EEG brain connectivity and Frontal alpha asymmetry index (FAA) to determine if there are differences before and after the treatment. EEG FAA is usually calculated by subtracting the right-side EEG power estimates from the respective counterpart on the other side. According to literature, depressive patients seem to have comparatively higher left frontal alpha power. Cortical activity is related to a reduced EEG power, which is reflected in depressed subjects. On the other hand, higher alpha power could also be interpreted as inhibition. Investigators will try to delineate changes in resting EEG functional connectivity before and after high-frequency left prefrontal rTMS, by using biomarkers such as: time/frequency connectivity, Alpha asymmetry index, among others. TMS also allows cortical properties, such as excitability, inhibition, oscillatory activity and connectivity to be directly probed within a specific region of the cortex. Other studies suggest that alterations in gamma oscillations in the dorsolateral prefrontal cortex and neighboring frontal regions are also potential shared biomarkers in psychiatry, highlighting the potential of EEG signals to help identify suitable biomarkers. Given its relative low cost and ease of use, when compared to brain imaging tools such as magnetic resonance imaging (MRI) or positron emission tomography (PET), EEG could be added to the clinical study so that precise neurophysiological changes before and after treatments can be assessed.
Status | Recruiting |
Enrollment | 30 |
Est. completion date | September 25, 2025 |
Est. primary completion date | July 28, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - Clinical diagnosis of Depression - must be willing to cooperate. Exclusion Criteria: - implanted electronic devices (e.g., pacemaker, medication pump, brain or vagus nerve stimulator, cochlear implant) - history of seizures - intracranial metal (e.g., aneurysm clip) - inability of the participant to cooperate with the Transcranial Magnetic Stimulation (TMS) session |
Country | Name | City | State |
---|---|---|---|
United States | Florida International University | Miami | Florida |
Lead Sponsor | Collaborator |
---|---|
Florida International University |
United States,
Chu HT, Cheng CM, Liang CS, Chang WH, Juan CH, Huang YZ, Jeng JS, Bai YM, Tsai SJ, Chen MH, Li CT. Efficacy and tolerability of theta-burst stimulation for major depression: A systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. — View Citation
Kelly MS, Oliveira-Maia AJ, Bernstein M, Stern AP, Press DZ, Pascual-Leone A, Boes AD. Initial Response to Transcranial Magnetic Stimulation Treatment for Depression Predicts Subsequent Response. J Neuropsychiatry Clin Neurosci. 2017 Spring;29(2):179-182. — View Citation
McClintock SM, Reti IM, Carpenter LL, McDonald WM, Dubin M, Taylor SF, Cook IA, O'Reardon J, Husain MM, Wall C, Krystal AD, Sampson SM, Morales O, Nelson BG, Latoussakis V, George MS, Lisanby SH; National Network of Depression Centers rTMS Task Group; Ame — View Citation
Noda Y, Zomorrodi R, Saeki T, Rajji TK, Blumberger DM, Daskalakis ZJ, Nakamura M. Resting-state EEG gamma power and theta-gamma coupling enhancement following high-frequency left dorsolateral prefrontal rTMS in patients with depression. Clin Neurophysiol. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | EEG parameters to asses the change | Resting-state Electroencephalogram (EEG) can serve as an assessment signal that will determine the benefits of the treatment and the efficacy of this procedure. Frequency domain features will be extracted to analyze the change over the time of the treatment. Connectivity maps will be derived for the most important frequency bands( Delta, Theta, Alpha, and Beta). | Session 1(baseline), Session 10 ( after 2 weeks of treatment), and 30 ( treatment completion) |
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