Cargando…
Complex functional brain network properties in anorexia nervosa
BACKGROUND: Anorexia nervosa (AN) is a disorder characterized by an incapacitating fear of weight gain and by a disturbance in the way the body is experienced, facets that motivate dangerous weight loss behaviors. Multimodal neuroimaging studies highlight atypical neural activity in brain networks i...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817538/ https://www.ncbi.nlm.nih.gov/pubmed/35123579 http://dx.doi.org/10.1186/s40337-022-00534-9 |
_version_ | 1784645668608933888 |
---|---|
author | Gupta, Arpana Bhatt, Ravi R. Rivera-Cancel, Alannah Makkar, Rishi Kragel, Philip A. Rodriguez, Thomas Graner, John L. Alaverdyan, Anita Hamadani, Kareem Vora, Priten Naliboff, Bruce Labus, Jennifer S. LaBar, Kevin S. Mayer, Emeran A. Zucker, Nancy |
author_facet | Gupta, Arpana Bhatt, Ravi R. Rivera-Cancel, Alannah Makkar, Rishi Kragel, Philip A. Rodriguez, Thomas Graner, John L. Alaverdyan, Anita Hamadani, Kareem Vora, Priten Naliboff, Bruce Labus, Jennifer S. LaBar, Kevin S. Mayer, Emeran A. Zucker, Nancy |
author_sort | Gupta, Arpana |
collection | PubMed |
description | BACKGROUND: Anorexia nervosa (AN) is a disorder characterized by an incapacitating fear of weight gain and by a disturbance in the way the body is experienced, facets that motivate dangerous weight loss behaviors. Multimodal neuroimaging studies highlight atypical neural activity in brain networks involved in interoceptive awareness and reward processing. METHODS: The current study used resting-state neuroimaging to model the architecture of large-scale functional brain networks and characterize network properties of individual brain regions to clinical measures. Resting-state neuroimaging was conducted in 62 adolescents, 22 (21 female) with a history of AN and 40 (39 female) healthy controls (HCs). Sensorimotor and basal ganglia regions, as part of a 165-region whole-brain network, were investigated. Subject-specific functional brain networks were computed to index centrality. A contrast analysis within the general linear model covarying for age was performed. Correlations between network properties and behavioral measures were conducted (significance q < .05). RESULTS: Compared to HCs, AN had lower connectivity from sensorimotor regions, and greater connectivity from the left caudate nucleus to the right postcentral gyrus. AN demonstrated lower sensorimotor centrality, but higher basal ganglia centrality. Sensorimotor connectivity dyads and centrality exhibited negative correlations with body dissatisfaction and drive for thinness, two essential features of AN. CONCLUSIONS: These findings suggest that AN is associated with greater communication from the basal ganglia, and lower information propagation in sensorimotor cortices. This is consistent with the clinical presentation of AN, where individuals exhibit patterns of rigid habitual behavior that is not responsive to bodily needs, and seem “disconnected” from their bodies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40337-022-00534-9. |
format | Online Article Text |
id | pubmed-8817538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88175382022-02-07 Complex functional brain network properties in anorexia nervosa Gupta, Arpana Bhatt, Ravi R. Rivera-Cancel, Alannah Makkar, Rishi Kragel, Philip A. Rodriguez, Thomas Graner, John L. Alaverdyan, Anita Hamadani, Kareem Vora, Priten Naliboff, Bruce Labus, Jennifer S. LaBar, Kevin S. Mayer, Emeran A. Zucker, Nancy J Eat Disord Research Article BACKGROUND: Anorexia nervosa (AN) is a disorder characterized by an incapacitating fear of weight gain and by a disturbance in the way the body is experienced, facets that motivate dangerous weight loss behaviors. Multimodal neuroimaging studies highlight atypical neural activity in brain networks involved in interoceptive awareness and reward processing. METHODS: The current study used resting-state neuroimaging to model the architecture of large-scale functional brain networks and characterize network properties of individual brain regions to clinical measures. Resting-state neuroimaging was conducted in 62 adolescents, 22 (21 female) with a history of AN and 40 (39 female) healthy controls (HCs). Sensorimotor and basal ganglia regions, as part of a 165-region whole-brain network, were investigated. Subject-specific functional brain networks were computed to index centrality. A contrast analysis within the general linear model covarying for age was performed. Correlations between network properties and behavioral measures were conducted (significance q < .05). RESULTS: Compared to HCs, AN had lower connectivity from sensorimotor regions, and greater connectivity from the left caudate nucleus to the right postcentral gyrus. AN demonstrated lower sensorimotor centrality, but higher basal ganglia centrality. Sensorimotor connectivity dyads and centrality exhibited negative correlations with body dissatisfaction and drive for thinness, two essential features of AN. CONCLUSIONS: These findings suggest that AN is associated with greater communication from the basal ganglia, and lower information propagation in sensorimotor cortices. This is consistent with the clinical presentation of AN, where individuals exhibit patterns of rigid habitual behavior that is not responsive to bodily needs, and seem “disconnected” from their bodies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40337-022-00534-9. BioMed Central 2022-02-05 /pmc/articles/PMC8817538/ /pubmed/35123579 http://dx.doi.org/10.1186/s40337-022-00534-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Gupta, Arpana Bhatt, Ravi R. Rivera-Cancel, Alannah Makkar, Rishi Kragel, Philip A. Rodriguez, Thomas Graner, John L. Alaverdyan, Anita Hamadani, Kareem Vora, Priten Naliboff, Bruce Labus, Jennifer S. LaBar, Kevin S. Mayer, Emeran A. Zucker, Nancy Complex functional brain network properties in anorexia nervosa |
title | Complex functional brain network properties in anorexia nervosa |
title_full | Complex functional brain network properties in anorexia nervosa |
title_fullStr | Complex functional brain network properties in anorexia nervosa |
title_full_unstemmed | Complex functional brain network properties in anorexia nervosa |
title_short | Complex functional brain network properties in anorexia nervosa |
title_sort | complex functional brain network properties in anorexia nervosa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817538/ https://www.ncbi.nlm.nih.gov/pubmed/35123579 http://dx.doi.org/10.1186/s40337-022-00534-9 |
work_keys_str_mv | AT guptaarpana complexfunctionalbrainnetworkpropertiesinanorexianervosa AT bhattravir complexfunctionalbrainnetworkpropertiesinanorexianervosa AT riveracancelalannah complexfunctionalbrainnetworkpropertiesinanorexianervosa AT makkarrishi complexfunctionalbrainnetworkpropertiesinanorexianervosa AT kragelphilipa complexfunctionalbrainnetworkpropertiesinanorexianervosa AT rodriguezthomas complexfunctionalbrainnetworkpropertiesinanorexianervosa AT granerjohnl complexfunctionalbrainnetworkpropertiesinanorexianervosa AT alaverdyananita complexfunctionalbrainnetworkpropertiesinanorexianervosa AT hamadanikareem complexfunctionalbrainnetworkpropertiesinanorexianervosa AT vorapriten complexfunctionalbrainnetworkpropertiesinanorexianervosa AT naliboffbruce complexfunctionalbrainnetworkpropertiesinanorexianervosa AT labusjennifers complexfunctionalbrainnetworkpropertiesinanorexianervosa AT labarkevins complexfunctionalbrainnetworkpropertiesinanorexianervosa AT mayeremerana complexfunctionalbrainnetworkpropertiesinanorexianervosa AT zuckernancy complexfunctionalbrainnetworkpropertiesinanorexianervosa |