Bing-Yan Zeng1, Bing-Syuan Zeng1, Yen-Wen Chen2, Chao-Ming Hung3,4, Cheuk-Kwan Sun5,6, Yu-Shian Cheng7, Brendon Stubbs8,9,10, Andre F Carvalho11,12, Andre R Brunoni13,14, Kuan-Pin Su8,15,16, Yu-Kang Tu17,18, Yi-Cheng Wu19, Tien-Yu Chen20,21, Pao-Yen Lin22,23, Chih-Sung Liang24,25, Chih-Wei Hsu22, Ping-Tao Tseng26,27,28, Cheng-Ta Li29,30. 1. Department of Internal Medicine, E-Da Hospital, Kaohsiung, Taiwan. 2. Prospect Clinic for Otorhinolaryngology & Neurology, Kaohsiung City, Taiwan. 3. Division of General Surgery, Department of Surgery, E-Da Cancer Hospital, Kaohsiung, Taiwan. 4. School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan. 5. Department of Emergency Medicine, E-Da Hospital, Kaohsiung, Taiwan. 6. I-Shou University School of Medicine for International Students, Kaohsiung, Taiwan. 7. Department of Psychiatry, Tsyr-Huey Mental Hospital, Kaohsiung Jen-Ai's Home, Kaohsiung, Taiwan. 8. Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. 9. Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK. 10. Faculty of Health, Social Care Medicine and Education, Anglia Ruskin University, Chelmsford, UK. 11. Department of Psychiatry, University of Toronto, Toronto, ON, Canada. 12. Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada. 13. Service of Interdisciplinary, Neuromodulation, Department and Institute of Psychiatry, Laboratory of Neurosciences (LIM-27), University of Sao Paulo, Sao Paulo, Brazil. 14. Interdisciplinary Center for Applied Neuromodulation University Hospital, University of Sao Paulo, Sao Paulo, Brazil. 15. Mind-Body Interface Laboratory (MBI-Lab), China Medical University and Hospital, Taichung, Taiwan. 16. An-Nan Hospital, China Medical University, Tainan, Taiwan. 17. Institute of Epidemiology & Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan. 18. Department of Dentistry, National Taiwan University Hospital, Taipei, Taiwan. 19. Department of Sports Medicine, Landseed International Hospital, Taoyuan, Taiwan. 20. Department of Psychiatry, Tri-Service General Hospital; School of Medicine, National Defense Medical Center, Taipei, Taiwan. 21. Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan. 22. Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan. 23. Institute for Translational Research in Biomedical Sciences, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan. 24. Department of Psychiatry, Beitou Branch, Tri-Service General Hospital; School of Medicine, National Defense Medical Center, Taipei, Taiwan. 25. Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan. 26. Prospect Clinic for Otorhinolaryngology & Neurology, Kaohsiung City, Taiwan. ducktseng@gmail.com. 27. Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan. ducktseng@gmail.com. 28. Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan. ducktseng@gmail.com. 29. Division of Community & Rehabilitation Psychiatry, Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan. on5083@msn.com. 30. Department of psychiatry, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. on5083@msn.com.
Abstract
BACKGROUND/ OBJECTIVES: Obesity has recently been recognized as a neurocognitive disorder involving circuits associated with the reward system and the dorsolateral prefrontal cortex (DLPFC). Noninvasive brain stimulation (NIBS) has been proposed as a strategy for the management of obesity. However, the results have been inconclusive. The aim of the current network meta-analysis (NMA) was to evaluate the efficacy and acceptability of different NIBS modalities for weight reduction in participants with obesity. METHODS: Randomized controlled trials (RCTs) examining NIBS interventions in patients with obesity were analyzed using the frequentist model of NMA. The coprimary outcome was change in body mass index (BMI) and acceptability, which was calculated using the dropout rate. RESULTS: Overall, the current NMA, consisting of eight RCTs, revealed that the high-frequency repetitive transcranial magnetic stimulation (TMS) over the left DLPFC was ranked to be associated with the second-largest decrease in BMI and the largest decrease in total energy intake and craving severity, whereas the high-frequency deep TMS over bilateral DLPFC and the insula was ranked to be associated with the largest decrease in BMI. CONCLUSION: This pilot study provided a "signal" for the design of more methodologically robust and larger RCTs based on the findings of the potentially beneficial effect on weight reduction in participants with obesity by different NIBS interventions.
BACKGROUND/ OBJECTIVES: Obesity has recently been recognized as a neurocognitive disorder involving circuits associated with the reward system and the dorsolateral prefrontal cortex (DLPFC). Noninvasive brain stimulation (NIBS) has been proposed as a strategy for the management of obesity. However, the results have been inconclusive. The aim of the current network meta-analysis (NMA) was to evaluate the efficacy and acceptability of different NIBS modalities for weight reduction in participants with obesity. METHODS: Randomized controlled trials (RCTs) examining NIBS interventions in patients with obesity were analyzed using the frequentist model of NMA. The coprimary outcome was change in body mass index (BMI) and acceptability, which was calculated using the dropout rate. RESULTS: Overall, the current NMA, consisting of eight RCTs, revealed that the high-frequency repetitive transcranial magnetic stimulation (TMS) over the left DLPFC was ranked to be associated with the second-largest decrease in BMI and the largest decrease in total energy intake and craving severity, whereas the high-frequency deep TMS over bilateral DLPFC and the insula was ranked to be associated with the largest decrease in BMI. CONCLUSION: This pilot study provided a "signal" for the design of more methodologically robust and larger RCTs based on the findings of the potentially beneficial effect on weight reduction in participants with obesity by different NIBS interventions.
Authors: Michael D Jensen; Donna H Ryan; Caroline M Apovian; Jamy D Ard; Anthony G Comuzzie; Karen A Donato; Frank B Hu; Van S Hubbard; John M Jakicic; Robert F Kushner; Catherine M Loria; Barbara E Millen; Cathy A Nonas; F Xavier Pi-Sunyer; June Stevens; Victor J Stevens; Thomas A Wadden; Bruce M Wolfe; Susan Z Yanovski; Harmon S Jordan; Karima A Kendall; Linda J Lux; Roycelynn Mentor-Marcel; Laura C Morgan; Michael G Trisolini; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli Journal: Circulation Date: 2013-11-12 Impact factor: 29.690
Authors: Miguel Alonso-Alonso; Stephen C Woods; Marcia Pelchat; Patricia Sue Grigson; Eric Stice; Sadaf Farooqi; Chor San Khoo; Richard D Mattes; Gary K Beauchamp Journal: Nutr Rev Date: 2015-04-09 Impact factor: 7.110