Moderators of the response to deep TMS for smoking addiction

Roman Gersner, Noam Barnea-Ygael, Aron Tendler

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Introduction: Deep repetitive transcranial magnetic stimulation (Deep TMS™) was recently cleared by the FDA as a short-term treatment for smoking cessation. However, it is unknown which participants are more likely to benefit from the treatment. Methods: We evaluated the data from the published randomized controlled trial of 262 participants 22–70 years old that led to the FDA clearance to characterize demographic and smoking history factors that moderate Deep TMS treatment efficacy. The current analysis included 75 completers in the active TMS group and 94 completers in the sham TMS group. Results: We found that participants younger than 40 had four times the quit rate than those older than 40. Additionally, participants who quit following treatment smoked 10 years less than non-quitters. Moreover, Caucasian participants had two times the quit rate than African–American participants. Strikingly, participants with more than 12 years of education had 7 times the quit rate than participants with less education. Conclusion: Three weeks of Deep TMS has a higher smoking addiction quit rate in participants who are younger, more educated, Caucasian and with less extensive smoking history. Participants who are older, with less education and more extensive smoking history may need a longer treatment course and/or combined treatment modalities. Potential reasons may be related to the challenges of inducing neuronal modifications in those with greater physical and psychological dependence. Further investigation is warranted.

Original languageEnglish
Article number1079138
JournalFrontiers in Psychiatry
Volume13
DOIs
StatePublished - 9 Jan 2023

Keywords

  • deep TMS
  • moderator
  • predictor
  • rTMS (repetitive transcranial magnetic stimulation)
  • smoking cessation

ASJC Scopus subject areas

  • Psychiatry and Mental health

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