For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
13
views
Article has an altmetric score of 1
38
references
 Top references
cited by
4
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      19
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      My Body Looks Like That Girl’s: Body Mass Index Modulates Brain Activity during Body Image Self-Reflection among Young Women

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Body image distress or body dissatisfaction is one of the most common consequences of obesity and overweight. We investigated the neural bases of body image processing in overweight and average weight young women to understand whether brain regions that were previously found to be involved in processing self-reflective, perspective and affective components of body image would show different activation between two groups. Thirteen overweight (O-W group, age = 20.31±1.70 years) and thirteen average weight (A-W group, age = 20.15±1.62 years) young women underwent functional magnetic resonance imaging while performing a body image self-reflection task. Among both groups, whole-brain analysis revealed activations of a brain network related to perceptive and affective components of body image processing. ROI analysis showed a main effect of group in ACC as well as a group by condition interaction within bilateral EBA, bilateral FBA, right IPL, bilateral DLPFC, left amygdala and left MPFC. For the A-W group, simple effect analysis revealed stronger activations in Thin-Control compared to Fat-Control condition within regions related to perceptive (including bilateral EBA, bilateral FBA, right IPL) and affective components of body image processing (including bilateral DLPFC, left amygdala), as well as self-reference (left MPFC). The O-W group only showed stronger activations in Fat-Control than in Thin-Control condition within regions related to the perceptive component of body image processing (including left EBA and left FBA). Path analysis showed that in the Fat-Thin contrast, body dissatisfaction completely mediated the group difference in brain response in left amygdala across the whole sample. Our data are the first to demonstrate differences in brain response to body pictures between average weight and overweight young females involved in a body image self-reflection task. These results provide insights for understanding the vulnerability to body image distress among overweight or obese young females.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: not found

          Cognitive and emotional influences in anterior cingulate cortex.

          Bush, Luu, Posner (2000)
          Anterior cingulate cortex (ACC) is a part of the brain's limbic system. Classically, this region has been related to affect, on the basis of lesion studies in humans and in animals. In the late 1980s, neuroimaging research indicated that ACC was active in many studies of cognition. The findings from EEG studies of a focal area of negativity in scalp electrodes following an error response led to the idea that ACC might be the brain's error detection and correction device. In this article, these various findings are reviewed in relation to the idea that ACC is a part of a circuit involved in a form of attention that serves to regulate both cognitive and emotional processing. Neuroimaging studies showing that separate areas of ACC are involved in cognition and emotion are discussed and related to results showing that the error negativity is influenced by affect and motivation. In addition, the development of the emotional and cognitive roles of ACC are discussed, and how the success of this regulation in controlling responses might be correlated with cingulate size. Finally, some theories are considered about how the different subdivisions of ACC might interact with other cortical structures as a part of the circuits involved in the regulation of mental and emotional activity.
          Article 0 comments Cited 466 times – based on 0 reviews     Review now
          Article has an altmetric score of 77
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A cortical area selective for visual processing of the human body.

            P E Downing, Y Jiang, M Shuman … (2001)
            Despite extensive evidence for regions of human visual cortex that respond selectively to faces, few studies have considered the cortical representation of the appearance of the rest of the human body. We present a series of functional magnetic resonance imaging (fMRI) studies revealing substantial evidence for a distinct cortical region in humans that responds selectively to images of the human body, as compared with a wide range of control stimuli. This region was found in the lateral occipitotemporal cortex in all subjects tested and apparently reflects a specialized neural system for the visual perception of the human body.
            Article 0 comments Cited 445 times – based on 0 reviews     Review now
            Article has an altmetric score of 22
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Dysfunction in the neural circuitry of emotion regulation--a possible prelude to violence.

              R J Davidson, K M Putnam, C L Larson (2000)
              Emotion is normally regulated in the human brain by a complex circuit consisting of the orbital frontal cortex, amygdala, anterior cingulate cortex, and several other interconnected regions. There are both genetic and environmental contributions to the structure and function of this circuitry. We posit that impulsive aggression and violence arise as a consequence of faulty emotion regulation. Indeed, the prefrontal cortex receives a major serotonergic projection, which is dysfunctional in individuals who show impulsive violence. Individuals vulnerable to faulty regulation of negative emotion are at risk for violence and aggression. Research on the neural circuitry of emotion regulation suggests new avenues of intervention for such at-risk populations.
              Article 0 comments Cited 276 times – based on 0 reviews     Review now
              Article has an altmetric score of 28
                Bookmark
                All references

                Author and article information

                Contributors
                Xi-Nian Zuo: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 20 October 2016
                Publication date Collection: 2016
                Volume: 11
                Issue: 10
                Electronic Location Identifier: e0164450
                Affiliations
                [1 ]Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
                [2 ]Faculty of Psychology, Southwest University, Chongqing, China
                [3 ]Stomatological Hospital of Chongqing Medical University, Chongqing, China
                [4 ]Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing, China
                [5 ]Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing, China
                [6 ]Groningen Institute of Evolutionary Life Sciences, Dept. Behavioral Neurosciences, University of Groningen, Groningen, The Netherlands
                Institute of Psychology, Chinese Academy of Sciences, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: XG HC.

                • Formal analysis: XG XD.

                • Funding acquisition: XG XD HC.

                • Investigation: XW YS.

                • Methodology: XG.

                • Resources: XG XD XW YS.

                • Software: XD.

                • Supervision: XG HC.

                • Validation: XG.

                • Visualization: XG XD.

                • Writing – original draft: XG.

                • Writing – review & editing: PCV.

                Article
                Publisher ID: PONE-D-16-05163
                DOI: 10.1371/journal.pone.0164450
                PMC ID: 5072594
                PubMed ID: 27764116
                SO-VID: 5197cd8b-401d-42d9-b4b4-14215fd2e051
                Copyright © © 2016 Gao et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 24 February 2016
                Date accepted : 26 September 2016
                Page count
                Figures: 5, Tables: 2, Pages: 16
                Funding
                Funded by: Chinese National Natural Science Foundation
                Award ID: 31100758
                Award Recipient :
                Funded by: Central Universities Fundamental Research Funds
                Award ID: SWU1409116
                Award Recipient :
                Funded by: Chongqing Health Bureau Foundation
                Award ID: 2012-2-135
                Award Recipient :
                Funded by: Chinese National Natural Science Foundation
                Award ID: 31170981
                Award Recipient :
                This work was supported by: 1. Chinese National Natural Science Foundation (#31100758) to Xiao Gao, www.nsfc.gov.cn; 2. Central Universities Fundamental Research Funds (#SWU1409116) to Xiao Gao, www.swu.edu.cn; 3. Chongqing Health Bureau Foundation (#2012-2-135) to Xiao Deng, www.cqqjrk.gov.cn; and 4. Chinese National Natural Science Foundation (#31170981) to Hong Chen, www.nsfc.gov.cn.
                Categories
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Biochemistry
                Subject: Lipids
                Subject: Fats
                Subject: Engineering and Technology
                Subject: Signal Processing
                Subject: Image Processing
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Brain
                Subject: Amygdala
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Brain
                Subject: Amygdala
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Neuroimaging
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neuroimaging
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Physiological Parameters
                Subject: Body Weight
                Subject: Obesity
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Physiological Parameters
                Subject: Body Weight
                Subject: Obesity
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Brain Mapping
                Subject: Functional Magnetic Resonance Imaging
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Functional Magnetic Resonance Imaging
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Functional Magnetic Resonance Imaging
                Subject: Medicine and Health Sciences
                Subject: Radiology and Imaging
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Functional Magnetic Resonance Imaging
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Neuroimaging
                Subject: Functional Magnetic Resonance Imaging
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neuroimaging
                Subject: Functional Magnetic Resonance Imaging
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Brain
                Subject: Prefrontal Cortex
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Brain
                Subject: Prefrontal Cortex
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Medicine and Health Sciences
                Subject: Radiology and Imaging
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Custom metadata
                Data Availability The data are all contained within the paper and Supporting Information files.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content19

                See all similar

                Cited by3

                See all cited by

                Most referenced authors505

                See all reference authors