Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Feb;27(1):69-83.
doi: 10.1007/s40519-021-01172-x. Epub 2021 Mar 23.

Brain networks in eating disorders: a systematic review of graph theory studies

Affiliations

Brain networks in eating disorders: a systematic review of graph theory studies

Enrico Collantoni et al. Eat Weight Disord. 2022 Feb.

Abstract

Purpose: Recent evidence from neuroimaging research has shown that eating disorders (EDs) are characterized by alterations in interconnected neural systems, whose characteristics can be usefully described by connectomics tools. The present paper aimed to review the neuroimaging literature in EDs employing connectomic tools, and, specifically, graph theory analysis.

Methods: A systematic review of the literature was conducted to identify studies employing graph theory analysis on patients with eating disorders published before the 22nd of June 2020.

Results: Twelve studies were included in the systematic review. Ten of them address anorexia nervosa (AN) (AN = 199; acute AN = 85, weight recovered AN with acute diagnosis = 24; fully recovered AN = 90). The remaining two articles address patients with bulimia nervosa (BN) (BN = 48). Global and regional unbalance in segregation and integration properties were described in both disorders.

Discussion: The literature concerning the use of connectomics tools in EDs evidenced the presence of alterations in the topological characteristics of brain networks at a global and at a regional level. Changes in local characteristics involve areas that have been demonstrated to be crucial in the neurobiology and pathophysiology of EDs. Regional imbalances in network properties seem to reflect on global patterns.

Level of evidence: Level I, systematic review.

Keywords: Anorexia nervosa; Brain networks; Bulimia nervosa; Eating disorders; Graph theory; Neuroimaging.

PubMed Disclaimer

Conflict of interest statement

The authors do not have any conflict of interest to disclose.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram

References

    1. Frank GWK, Shott M, DeGuzman MC (2019) Recent advances in understanding anorexia nervosa. F1000Res 8:F1000 Faculty Rev-504. 10.12688/f1000research.17789.1 - PMC - PubMed
    1. Zipfel S, Giel KE, Bulik CM, Hay P, Schmidt U. Anorexia nervosa: aetiology, assessment, and treatment. Lancet Psychiatry. 2015;2:1099–1111. doi: 10.1016/S2215-0366(15)00356-9. - DOI - PubMed
    1. Steward T, Menchon JM, Jimenez-Murcia S, Soriano-Mas C, Fernandez-Aranda F. Neural network alterations across eating disorders: a narrative review of fMRI studies. Curr Neuropharmacol. 2017;15:1–13. doi: 10.2174/1570159X15666171017111532. - DOI - PMC - PubMed
    1. Meneguzzo P, Collantoni E, Solmi M, Tenconi E, Favaro A. Anorexia nervosa and diffusion weighted imaging: an open methodological question raised by a systematic review and a fractional anisotropy anatomical likelihood estimation meta-analysis. Int J Eat Disord. 2019;52:1237–1250. doi: 10.1002/eat.23160. - DOI - PubMed
    1. Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Publ Gr. 2009;10:186–198. doi: 10.1038/nrn2575. - DOI - PubMed

Publication types

LinkOut - more resources