Literature DB >> 34415492

Electroacupuncture enhances resting-state functional connectivity between dorsal caudate and precuneus and decreases associated leptin levels in overweight/obese subjects.

Yang He1, Karen M von Deneen2, Guanya Li1, Borong Jing3, Yanyan Zhou3, Kaiya Zhang3, Yi Zhang4, Yuanyuan Ren5.   

Abstract

Electroacupuncture (EA) is a safe and effective method for treating obesity. However, how it modulates reward-related brain activity/functional connectivity and gut hormones remains unclear. We employed resting-state functional magnetic resonance imaging (RS-fMRI) and resting-state functional connectivity (RSFC) to investigate EA induced changes in resting-state activity and RSFC in reward-related regions and its association with gut hormones in overweight/obese subjects who received real (n = 20) and Sham (n = 15) stimulation. Results showed reduced leptin levels was positively correlated with reduced body mass index (BMI) and negatively correlated with increased cognitive-control as measured with Three-Factor-Eating-Questionnaire (TFEQ). Significant time effects on RSFC between dorsal caudate (DC) and precuneus were due to significant increased RSFC strength in both EA and Sham groups. In addition, increased RSFC of DC-precuneus was negatively correlated with reduced BMI and leptin levels in the EA group. Mediation analysis showed that the relationship between increased DC-precuneus RSFC strength and reduced BMI was mediated by reduced leptin levels. These findings reflect the association between EA-induced brain reward-related RSFC and leptin levels, and decreased leptin levels mediated altered DC-precuneus RSFC strength and consequent weight-loss, suggesting the potential role of EA in reducing weight and appetite.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Dorsal caudate; Electroacupuncture; Leptin; Obesity; RSFC

Mesh:

Substances:

Year:  2021        PMID: 34415492     DOI: 10.1007/s11682-021-00519-3

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  58 in total

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Journal:  Metabolism       Date:  2016-03-18       Impact factor: 8.694

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Authors:  I Sadaf Farooqi; Edward Bullmore; Julia Keogh; Jonathan Gillard; Stephen O'Rahilly; Paul C Fletcher
Journal:  Science       Date:  2007-08-09       Impact factor: 47.728

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