The integrated understanding of structural and functional connectomes in depression: A multimodal meta-analysis of graph metrics.
J Affect Disord
; 295: 759-770, 2021 12 01.
Article
en En
| MEDLINE
| ID: mdl-34517250
ABSTRACT
BACKGROUND:
From the perspective of information processing, an integrated understanding of the structural and functional connectomes in depression patients is important, a multimodal meta-analysis is required to detect the robust alterations in graph metrics across studies.METHODS:
Following a systematic search, 952 depression patients and 1447 controls in nine diffusion magnetic resonance imaging (dMRI) and twelve rest state functional MRI (rs-fMRI) studies with high methodological quality met the inclusion criteria and were included in the meta-analysis.RESULTS:
Regarding the dMRI results, no significant differences of meta-analytic metrics were found; regarding the rs-fMRI results, the modularity and local efficiency were found to be significantly lower in the depression group than in the controls (Hedge's g = -0.330 and -0.349, respectively).CONCLUSION:
Our findings suggested a lower modularity and network efficiency in the rs-fMRI network in depression patients, indicating that the pathological imbalances in brain connectomes needs further exploration.LIMITATIONS:
Included number of trials was low and heterogeneity should be noted.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Conectoma
Tipo de estudio:
Systematic_reviews
Límite:
Humans
Idioma:
En
Revista:
J Affect Disord
Año:
2021
Tipo del documento:
Article