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Rakesh G, Adams TG, Ballard DH, McLouth CJ, Rush CR. Theta Burst Stimulation in Patients With Methamphetamine Use Disorder: A Meta-Analysis and Systematic Review. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.03.24.25324326. [PMID: 40196239 PMCID: PMC11974796 DOI: 10.1101/2025.03.24.25324326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Novel interventions are urgently needed to treat methamphetamine use disorder (MUD), for which there are no FDA-approved treatments. Previous studies in patients with MUD suggest transcranial magnetic stimulation (TMS) over the left dorsolateral prefrontal cortex (L. dlPFC) decreases craving for methamphetamine. Theta burst stimulation (TBS), which includes intermittent TBS and continuous TBS (cTBS), is increasingly being used for substance use disorders, including MUD. Previous reviews of TMS in MUD performed sub-group meta-analyses of studies that delivered TBS in MUD. However, these meta-analyses included studies with overlapping participant cohorts. Given the absence of prior meta-analyses or reviews examining TBS in MUD using unique participant cohorts, we reviewed randomized controlled trials (RCTs) from three databases (PubMed/Medline, EMBASE, Google Scholar) until September 1, 2024, comparing the impact of TBS versus sham TBS on cue-induced methamphetamine cravings in patients with MUD. We performed a meta-analysis with four eligible RCTs that delivered iTBS. Results suggest iTBS was more effective in reducing cue-induced methamphetamine cravings than sham iTBS (standardized mean difference [SMD] in change = 1.04; 95% CI [0.16, 1.92]). Our systematic review included two additional RCTs that did not have sham comparator arms; one of these demonstrated a significant reduction in methamphetamine craving with accelerated iTBS. Future studies should examine if iTBS can impact clinical outcome measures other than craving, such as methamphetamine use, by measuring return to drug use. It is also pertinent to explore accelerated iTBS and cTBS for MUD and study their effects on relevant biomarkers for MUD.
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Affiliation(s)
- Gopalkumar Rakesh
- Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY
| | - Thomas G Adams
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT
| | - Dylan H Ballard
- Department of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY
| | - Christopher J McLouth
- Department of Biostatistics, College of Public Health, University of Kentucky, Lexington
| | - Craig R Rush
- Department of Behavioral Sciences, College of Medicine, University of Kentucky, Lexington, KY
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Bormann NL, Oesterle TS, Arndt S, Karpyak VM, Croarkin PE. Systematic review and meta-analysis: Combining transcranial magnetic stimulation or direct current stimulation with pharmacotherapy for treatment of substance use disorders. Am J Addict 2024; 33:269-282. [PMID: 38273429 DOI: 10.1111/ajad.13517] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/23/2023] [Accepted: 12/30/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) have evidence for their potential in the treatment of substance use disorders (SUD). Medication for addiction treatment (MAT) is underutilized and not always effective. We identified randomized controlled trials (RCTs) and case studies that evaluated the effectiveness of TMS or tDCS used concurrently with MAT in SUD treatment. METHODS A systematic review of published literature following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted on 6/1/2023 by a medical librarian. Craving-related scales were extracted for an effect size calculation. The Physiotherapy Evidence Database (PEDro) scale assessed study quality. RESULTS Eight studies (7 RCT, 1 case) including 253 individuals were published from 2015 to 2022, 5 of which had available data for meta-analysis. TMS or tDCS combined with MAT significantly reduced craving-related measures relative to sham stimulation (Hedges' g = -0.42, confidence interval: -0.73 to -0.11, p < .01). Opioid use disorder, methadone, and the dorsolateral prefrontal cortex were the most commonly studied SUD, MAT, and target region. DISCUSSION AND CONCLUSIONS Our results show a significant effect; however, is limited by a small number of studies with heterogeneous methodology across intervention methods and SUDs. Additional trials are needed to fully assess the clinical impact and mechanisms of combined brain stimulation and pharmacotherapy. We discuss a possible mechanism for synergism from these treatment combinations. SCIENTIFIC SIGNIFICANCE Adds the first systematic review of combination treatment with TMS or tDCS and MAT in SUD patients to the literature and estimates its overall effect size.
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Affiliation(s)
- Nicholas L Bormann
- Department of Psychiatry and Psychology, Mayo Clinic, Albert Lea, Minnesota, USA
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tyler S Oesterle
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Stephan Arndt
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
- Department of Biostatistics, University of Iowa, Iowa City, Iowa, USA
| | - Victor M Karpyak
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul E Croarkin
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
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Zhang M, Chen L, Ren Z, Wang Z, Luo W. Applications of TMS in individuals with methamphetamine use disorder: A review. Heliyon 2024; 10:e25565. [PMID: 38420394 PMCID: PMC10900420 DOI: 10.1016/j.heliyon.2024.e25565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 12/25/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Methamphetamine abuse results in a host of social and medical issues. Methamphetamine use disorder (MUD) can hinder the brain and impair cognitive functions and mental health. Transcranial magnetic stimulation (TMS) is a non-invasive approach in the treatment of MUD. Recent studies have demonstrated encouraging and positive effects of TMS on the craving, affective symptoms, sleep quality, and cognitive functions in individuals with MUD. The regulation of specific brain activities through TMS has also been found to be a contributing factor to these positive outcomes. It is essential to employ more techniques, participants, and stimulation parameters and targets in the future.
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Affiliation(s)
- Mingming Zhang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, 116029, China
| | - Lei Chen
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, 116029, China
| | - Ziwei Ren
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, 116029, China
| | - Zhiyan Wang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, 116029, China
| | - Wenbo Luo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, 116029, China
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Guo M, Wang T, Zhang T, Zhai H, Xu G. Effects of high-frequency transcranial magnetic stimulation on theta-gamma oscillations and coupling in the prefrontal cortex of rats during working memory task. Med Biol Eng Comput 2023; 61:3209-3223. [PMID: 37828414 DOI: 10.1007/s11517-023-02940-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/18/2023] [Indexed: 10/14/2023]
Abstract
High-frequency rTMS has been widely used to improve working memory (WM) impairment; however, the underlying neurophysiological mechanisms are unclear. We evaluated the effect of high-frequency rTMS on behaviors relevant to WM as well as coupling between theta and gamma oscillations in the prefrontal cortex (PFC) of rats. Accordingly, Wistar rats received high-frequency rTMS daily for 14 days (5 Hz, 10 Hz, and 15 Hz stimulation; 600 pulses; n = 6 per group), whereas the control group received sham stimulation. Electrophysiological signals were recorded simultaneously to obtain the local field potential (LFP) from the PFC, while the rats performed T-maze tasks for the evaluation of WM. Phase-amplitude coupling (PAC) was utilized to determine the effect of high-frequency rTMS on the theta-gamma coupling of LFPs. We observed that rats in the rTMS groups needed a smaller number of training days to complete the WM task as compared to the control group. High-frequency rTMS reinforced the coupling connection strength in the PFC of rats. Notably, the effect of rTMS at 15 Hz was the most effective among the three frequencies, i.e., 5 Hz, 10 Hz, and 15 Hz. The results suggested that rTMS can improve WM impairment in rats by modulating the coupling of theta and gamma rhythms. Hence, the current study provides a scientific basis for the optimization of TMS models, which would be relevant for clinical application.
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Affiliation(s)
- Miaomiao Guo
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China.
- School of Health Sciences & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China.
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin, 300130, China.
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, Hebei University of Technology, Tianjin, 300130, China.
| | - Tian Wang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China
- School of Health Sciences & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin, 300130, China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, Hebei University of Technology, Tianjin, 300130, China
| | - Tianheng Zhang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China
- School of Health Sciences & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin, 300130, China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, Hebei University of Technology, Tianjin, 300130, China
- School of Mechanical and Electrical Engineering, Shijiazhuang University, Shijiazhuang, 050035, Hebei, China
| | - Haodi Zhai
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China
- School of Health Sciences & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin, 300130, China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, Hebei University of Technology, Tianjin, 300130, China
| | - Guizhi Xu
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China
- School of Health Sciences & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin, 300130, China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, Hebei University of Technology, Tianjin, 300130, China
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Chen YH, Yang J, Wu H, Beier KT, Sawan M. Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction. Front Psychiatry 2023; 14:1085036. [PMID: 36911117 PMCID: PMC9995819 DOI: 10.3389/fpsyt.2023.1085036] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/03/2023] [Indexed: 02/25/2023] Open
Abstract
Achieving abstinence from drugs is a long journey and can be particularly challenging in the case of methamphetamine, which has a higher relapse rate than other drugs. Therefore, real-time monitoring of patients' physiological conditions before and when cravings arise to reduce the chance of relapse might help to improve clinical outcomes. Conventional treatments, such as behavior therapy and peer support, often cannot provide timely intervention, reducing the efficiency of these therapies. To more effectively treat methamphetamine addiction in real-time, we propose an intelligent closed-loop transcranial magnetic stimulation (TMS) neuromodulation system based on multimodal electroencephalogram-functional near-infrared spectroscopy (EEG-fNIRS) measurements. This review summarizes the essential modules required for a wearable system to treat addiction efficiently. First, the advantages of neuroimaging over conventional techniques such as analysis of sweat, saliva, or urine for addiction detection are discussed. The knowledge to implement wearable, compact, and user-friendly closed-loop systems with EEG and fNIRS are reviewed. The features of EEG and fNIRS signals in patients with methamphetamine use disorder are summarized. EEG biomarkers are categorized into frequency and time domain and topography-related parameters, whereas for fNIRS, hemoglobin concentration variation and functional connectivity of cortices are described. Following this, the applications of two commonly used neuromodulation technologies, transcranial direct current stimulation and TMS, in patients with methamphetamine use disorder are introduced. The challenges of implementing intelligent closed-loop TMS modulation based on multimodal EEG-fNIRS are summarized, followed by a discussion of potential research directions and the promising future of this approach, including potential applications to other substance use disorders.
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Affiliation(s)
- Yun-Hsuan Chen
- CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, China
| | - Jie Yang
- CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, China
| | - Hemmings Wu
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Kevin T. Beier
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, United States
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, United States
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Mohamad Sawan
- CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, China
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