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| Name | Class |
|---|---|
| VA Palo Alto Health Care System | FED |
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This study aims to evaluate the efficacy of deep transcranial magnetic stimulation (dTMS) as a treatment for Veterans with a methamphetamine use disorder (MUD).
To date, TMS has emerged as a promising treatment avenue for addiction and is being tested in clinical trials with some encouraging results. A recent systematic review and meta-analysis highlights that 7/8 (87.5%) studies using TMS for MUD or 38/50 (88%) in addiction more broadly have targeted the left DLPFC alone. While this strategy has been useful in reducing craving, treated individuals resume use shortly after treatment at similar rates to those receiving sham. Here, utilizing a data-driven and innovative approach, the investigators aim to modulate target brain function that has been shown to predict treatment outcomes for individuals with MUD. The literature describes how TMS treatment is associated with physiological changes in the brain at the target area and in remote structurally or functionally connected brain areas. TMS has been associated with changes in long-term potentiation (LTP) or depression (LTD) to increase neuroplasticity through increases in brain-derived neurotrophic factor (BDNF) and implicated in influencing the excitatory/inhibitory balance of GABAergic synapses. H-coil designs have the potential to target deeper regions of the brain as well as multiple downstream, interacting brain networks in a novel manner. For example, insula stimulation has the potential to strengthen the salience network broadly and subsequently ameliorate relapse risk.
An emerging advancement is the use of coils that target deeper regions of the brain and have the potential of targeting multiple, interacting brain networks. The H-coil configuration in this technique stimulates a broader area (e.g., up to 17 cubic centimeters) as well as a deeper area (e.g., up to 4 cm), relative to standard figure-of-eight coils, further enhancing innovation and generalizability. With this coil, the investigators hypothesize modifying the salience network nodes that are otherwise not reached by figure-of-eight coils. Notably, published studies to date that utilize these H-coils for addiction yield promising results. However, whether the proposed stimulation strategies will have objectively measurable impact on their respective brain targets or similar impact in individuals with MUD remains unclear.
The proposed study fills a critical, scientific gap of the need to evaluate a novel, non-invasive brain stimulation technique for MUD.
The investigators believe this proposed work will provide preliminary data for a larger grant submission that could allow for a more complex study design to fully answer gaps in current knowledge about deep TMS H4 coil as a possible treatment approach for MUD.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Active dTMS | Experimental | Participants will receive 30 active dTMS treatments, administered 3 times per day over 10 consecutive business days. Each treatment visit will last approximately 30 minutes in total. |
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| Sham dTMS | Sham Comparator | Participants will receive 30 sham dTMS sessions, administered 3 times per day over 10 consecutive business days. Each treatment visit will last approximately 30 minutes in total. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Deep Transcranial Magnetic Stimulation (dTMS) H4 coil - Active | Device | The study will utilize the H4 coil to administer active Deep Transcranial Magnetic Stimulation (dTMS) to the bilateral insula, a core salience network node. |
| Measure | Description | Time Frame |
|---|---|---|
| Insula Function | The primary measure of SN function will include insula activation during the monetary incentive delay task, anticipation of loss contrasted with no loss | 1-4 days post-treatment |
| Percentage of Days Abstinent | Methamphetamine use outcomes will be assessed using the TimeLine Follow Back (TLFB) Method, which utilizes calendar cue to recall recent, self-reported substance use, combined with objective biomarker data | 3 months post-treatment |
| Measure | Description | Time Frame |
|---|---|---|
| Other Salience Network Function | The secondary measures of SN function will include insula to PFC functional connectivity, and dACC to insula functional connectivity using the same task as the primary measure. | 1-4 days post-treatment |
| Resting-State Salience Network |
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Inclusion:
Exclusion criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Samantha Ward, BS | Contact | 650-493-5000 | 63840 | samward@stanford.edu |
| Eileen G Fischer, BS | Contact | 210-993-2065 | grace.fischer@stanford.edu |
| Name | Affiliation | Role |
|---|---|---|
| Claudia B Padula, PhD | Stanford University | Principal Investigator |
| Michelle R Madore, PhD | Stanford University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| VA Palo Alto Health Care System | Recruiting | Palo Alto | California | 94304 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19710631 | Background | Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology. 2010 Jan;35(1):217-38. doi: 10.1038/npp.2009.110. | |
| 28082874 | Background | Peters SK, Dunlop K, Downar J. Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment. Front Syst Neurosci. 2016 Dec 27;10:104. doi: 10.3389/fnsys.2016.00104. eCollection 2016. |
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Any data, specimens, forms, reports, and other records that leave the site will be identified only by a participant ID number to maintain confidentiality. The ID Number will have no relationship to any aspect of identifiable private information. Therefore, the data associated with each participant will be completely de-identified and there will be no mechanism by which users can re-identify participant data (e.g., name, address) with the subject code.
Three to twelve months after publication.
Researchers who provide a methodologically sound proposal.
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| ID | Term |
|---|---|
| D012008 | Recurrence |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Randomized, double-blind, sham-controlled
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Randomization will be completed and stored with staff in the Biostatistic Core. Treatment assignments will be recorded on a USB drive read by the device in order to ensure treaters and study investigators remain blinded. In the instance that a serious adverse event (SAE) occur, consultation with the Data Safety and Monitoring Board and the Institutional Review Board will occur to determine the appropriateness of breaking the blind. The blind may be broken for a specific individual in order to determine whether the SAE is related to the treatment.
| Deep Transcranial Magnetic Stimulation (dTMS) H4 coil - Sham | Device | The study will utilize an identical protocol using the H4 coil to administer a sham condition. |
|
The investigators will also utilize whole-brain, voxel-wise analyses for the task with stringent error correction, as well as insula activation and insula to dACC functional connectivity during resting state fMRI. |
| 1-4 days post-treatment |
| Binary Relapse | Binary (yes/no) relapse after treatment via self-report | 3 months post-treatment |
| 35067356 | Background | Harel M, Perini I, Kampe R, Alyagon U, Shalev H, Besser I, Sommer WH, Heilig M, Zangen A. Repetitive Transcranial Magnetic Stimulation in Alcohol Dependence: A Randomized, Double-Blind, Sham-Controlled Proof-of-Concept Trial Targeting the Medial Prefrontal and Anterior Cingulate Cortices. Biol Psychiatry. 2022 Jun 15;91(12):1061-1069. doi: 10.1016/j.biopsych.2021.11.020. Epub 2021 Dec 6. |
| 35160085 | Background | Gay A, Cabe J, De Chazeron I, Lambert C, Defour M, Bhoowabul V, Charpeaud T, Tremey A, Llorca PM, Pereira B, Brousse G. Repetitive Transcranial Magnetic Stimulation (rTMS) as a Promising Treatment for Craving in Stimulant Drugs and Behavioral Addiction: A Meta-Analysis. J Clin Med. 2022 Jan 26;11(3):624. doi: 10.3390/jcm11030624. |