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The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa?
AIMS OF THE STUDY: The study aims to identify the differences in brain activity between participants with anorexia nervosa and healthy control using visual stimulus conditions combined with the quantitative dense-array EEG recording analysis method called Brain Activation Sequences (BAS). MATERIALS...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592122/ https://www.ncbi.nlm.nih.gov/pubmed/36300071 http://dx.doi.org/10.3389/fpsyg.2022.958501 |
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author | Susta, Marek Bizik, Gustav Yamamotova, Anna Petranek, Svojmil Kadochova, Marie Papezova, Hana |
author_facet | Susta, Marek Bizik, Gustav Yamamotova, Anna Petranek, Svojmil Kadochova, Marie Papezova, Hana |
author_sort | Susta, Marek |
collection | PubMed |
description | AIMS OF THE STUDY: The study aims to identify the differences in brain activity between participants with anorexia nervosa and healthy control using visual stimulus conditions combined with the quantitative dense-array EEG recording analysis method called Brain Activation Sequences (BAS). MATERIALS AND METHODS: 23 participants with anorexia nervosa and 21 healthy controls were presented with visual stimuli, including the subject’s facial expressions and body images. The 128-channel EEG data were processed using BAS and displayed as activity in up to 66 brain regions. Subsequent cluster analysis was used to identify groups of participants exhibiting area-specific activation patterns. RESULTS: Cluster analysis identified three distinct groups: one including all healthy controls (HC) and two consisting of all participants with anorexia (AN-I with 19 participants and AN-II with four participants). The AN-I and AN-II groups differed in their response to treatment. Comparisons of HC vs. AN confirmed the dominance of the right cerebral hemisphere in participants with anorexia nervosa in two of the three reported conditions. The facial expressions condition, specifically the facial reaction expressing disgust, indicates the existence of a social attentional bias toward faces, whereas emotions remained undetected in participants. High limbic activity, medial frontal gyrus involvement, low fusiform cortex activity, and milder visual cortex activity in healthy controls compared to participants indicate that the facial expression stimulus is perceived by healthy subjects primarily as an emotion, not as the face itself. In the body image condition, participants showed higher activity in the fusiform gyrus and right insula, indicating activation of the brain’s “fear network.” CONCLUSION: The study describes a specific pattern of brain activation in response to facial expression of disgust and body images that likely contributes to social-cognitive and behavioral impairments in anorexia. In addition, the substantial difference in the pattern of brain activation within the participants with AN and its association with treatment resistance deserves special attention because of its potential to develop a clinically useful prediction tool and identify potential targets for, for example, neuromodulatory treatments and/or individualized psychotherapy. |
format | Online Article Text |
id | pubmed-9592122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95921222022-10-25 The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? Susta, Marek Bizik, Gustav Yamamotova, Anna Petranek, Svojmil Kadochova, Marie Papezova, Hana Front Psychol Psychology AIMS OF THE STUDY: The study aims to identify the differences in brain activity between participants with anorexia nervosa and healthy control using visual stimulus conditions combined with the quantitative dense-array EEG recording analysis method called Brain Activation Sequences (BAS). MATERIALS AND METHODS: 23 participants with anorexia nervosa and 21 healthy controls were presented with visual stimuli, including the subject’s facial expressions and body images. The 128-channel EEG data were processed using BAS and displayed as activity in up to 66 brain regions. Subsequent cluster analysis was used to identify groups of participants exhibiting area-specific activation patterns. RESULTS: Cluster analysis identified three distinct groups: one including all healthy controls (HC) and two consisting of all participants with anorexia (AN-I with 19 participants and AN-II with four participants). The AN-I and AN-II groups differed in their response to treatment. Comparisons of HC vs. AN confirmed the dominance of the right cerebral hemisphere in participants with anorexia nervosa in two of the three reported conditions. The facial expressions condition, specifically the facial reaction expressing disgust, indicates the existence of a social attentional bias toward faces, whereas emotions remained undetected in participants. High limbic activity, medial frontal gyrus involvement, low fusiform cortex activity, and milder visual cortex activity in healthy controls compared to participants indicate that the facial expression stimulus is perceived by healthy subjects primarily as an emotion, not as the face itself. In the body image condition, participants showed higher activity in the fusiform gyrus and right insula, indicating activation of the brain’s “fear network.” CONCLUSION: The study describes a specific pattern of brain activation in response to facial expression of disgust and body images that likely contributes to social-cognitive and behavioral impairments in anorexia. In addition, the substantial difference in the pattern of brain activation within the participants with AN and its association with treatment resistance deserves special attention because of its potential to develop a clinically useful prediction tool and identify potential targets for, for example, neuromodulatory treatments and/or individualized psychotherapy. Frontiers Media S.A. 2022-10-10 /pmc/articles/PMC9592122/ /pubmed/36300071 http://dx.doi.org/10.3389/fpsyg.2022.958501 Text en Copyright © 2022 Susta, Bizik, Yamamotova, Petranek, Kadochova and Papezova. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Susta, Marek Bizik, Gustav Yamamotova, Anna Petranek, Svojmil Kadochova, Marie Papezova, Hana The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? |
title | The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? |
title_full | The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? |
title_fullStr | The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? |
title_full_unstemmed | The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? |
title_short | The sight of one’s own body: Could qEEG help predict the treatment response in anorexia nervosa? |
title_sort | sight of one’s own body: could qeeg help predict the treatment response in anorexia nervosa? |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592122/ https://www.ncbi.nlm.nih.gov/pubmed/36300071 http://dx.doi.org/10.3389/fpsyg.2022.958501 |
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