Literature DB >> 32623562

Resting state differences between successful and unsuccessful restrained eaters.

Yixiao Zhang1, Shaorui Wang1, Luqing Wei1, Todd Jackson2,3, Xiao Gao1,3, Mingyue Xiao1, Gaolang Gong4, Hong Chen5,6.   

Abstract

Restrained eating is a popular weight loss strategy for young women that tends to have limited effectiveness over extended periods of time. Although previous studies have explored and identified possible personality and behavior differences between successful and unsuccessful restrained eaters (REs), there has been a paucity of research on neurophysiological differences.Towards addressing this gap, we assessed brain resting state (Rs) differences in groups of unsuccessful REs (N = 39) and successful REs (N = 31). In line with hypotheses, unsuccessful REs displayed reduced regional homogeneity in brain regions involved in cognitive control (inferior parietal lobe) compared to successful REs. Regions involved in conflict monitoring (anterior cingulate cortex) were also observed to be comparatively less active in the unsuccessful RE group. Finally, based on analyses of independent components and seed-based functional connectivity, regions involved in conflict monitoring and cognitive control, especially those localized within the frontoparietal network, showed weaker connectivities among unsuccessful REs compared to their successful counterparts.These results underscore specific brain Rs differences between successful REs and unsuccessful REs in regions implicated in cognitive control and conflict monitoring.

Entities:  

Keywords:  Cognitive control; Conflict monitoring; Functional connectivity; Resting state fMRI; Restrained eating

Year:  2021        PMID: 32623562     DOI: 10.1007/s11682-020-00300-y

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


  76 in total

1.  A method for making group inferences from functional MRI data using independent component analysis.

Authors:  V D Calhoun; T Adali; G D Pearlson; J J Pekar
Journal:  Hum Brain Mapp       Date:  2001-11       Impact factor: 5.038

2.  Anterior cingulate cortex and response conflict: effects of frequency, inhibition and errors.

Authors:  T S Braver; D M Barch; J R Gray; D L Molfese; A Snyder
Journal:  Cereb Cortex       Date:  2001-09       Impact factor: 5.357

3.  Conflict monitoring and anterior cingulate cortex: an update.

Authors:  Matthew M Botvinick; Jonathan D Cohen; Cameron S Carter
Journal:  Trends Cogn Sci       Date:  2004-12       Impact factor: 20.229

4.  Meta-analysis of neuroimaging studies of the Wisconsin card-sorting task and component processes.

Authors:  Bradley R Buchsbaum; Stephanie Greer; Wei-Li Chang; Karen Faith Berman
Journal:  Hum Brain Mapp       Date:  2005-05       Impact factor: 5.038

5.  Cortical and subcortical contributions to Stop signal response inhibition: role of the subthalamic nucleus.

Authors:  Adam R Aron; Russell A Poldrack
Journal:  J Neurosci       Date:  2006-03-01       Impact factor: 6.167

6.  Eating styles and energy intake in young women.

Authors:  Doeschka J Anschutz; Tatjana Van Strien; Monique O M Van De Ven; Rutger C M E Engels
Journal:  Appetite       Date:  2009-04-05       Impact factor: 3.868

7.  Are common measures of dietary restraint and disinhibited eating reliable and valid in obese persons?

Authors:  Brittany K Bohrer; Kelsie T Forbush; Tyler K Hunt
Journal:  Appetite       Date:  2015-01-09       Impact factor: 3.868

Review 8.  The potential of neurofeedback in the treatment of eating disorders: a review of the literature.

Authors:  Savani Bartholdy; Peter Musiat; Iain C Campbell; Ulrike Schmidt
Journal:  Eur Eat Disord Rev       Date:  2013-09-30

9.  A baseline for the multivariate comparison of resting-state networks.

Authors:  Elena A Allen; Erik B Erhardt; Eswar Damaraju; William Gruner; Judith M Segall; Rogers F Silva; Martin Havlicek; Srinivas Rachakonda; Jill Fries; Ravi Kalyanam; Andrew M Michael; Arvind Caprihan; Jessica A Turner; Tom Eichele; Steven Adelsheim; Angela D Bryan; Juan Bustillo; Vincent P Clark; Sarah W Feldstein Ewing; Francesca Filbey; Corey C Ford; Kent Hutchison; Rex E Jung; Kent A Kiehl; Piyadasa Kodituwakku; Yuko M Komesu; Andrew R Mayer; Godfrey D Pearlson; John P Phillips; Joseph R Sadek; Michael Stevens; Ursina Teuscher; Robert J Thoma; Vince D Calhoun
Journal:  Front Syst Neurosci       Date:  2011-02-04

10.  Video game training enhances cognitive control in older adults.

Authors:  J A Anguera; J Boccanfuso; J L Rintoul; O Al-Hashimi; F Faraji; J Janowich; E Kong; Y Larraburo; C Rolle; E Johnston; A Gazzaley
Journal:  Nature       Date:  2013-09-05       Impact factor: 49.962

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