Brain networks in eating disorders: a systematic review of graph theory studies.
Eat Weight Disord
; 27(1): 69-83, 2022 Feb.
Article
em En
| MEDLINE
| ID: mdl-33754274
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.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Anorexia Nervosa
/
Transtornos da Alimentação e da Ingestão de Alimentos
/
Bulimia Nervosa
Tipo de estudo:
Prognostic_studies
/
Systematic_reviews
Limite:
Humans
Idioma:
En
Revista:
Eat Weight Disord
Assunto da revista:
GASTROENTEROLOGIA
/
METABOLISMO
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Itália