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Can neuroimaging measures differentiate the disease course of anorexia nervosa? A systematic review

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JOURNAL OF PSYCHIATRIC RESEARCH
卷 163, 期 -, 页码 337-349

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychires.2023.05.059

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Anorexia nervosa; Neuroimaging; Magnetic resonance imaging; Prediction; Prognosis; Disease course

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This article systematically reviewed the predictive value of structural and functional brain imaging in predicting the disease course of anorexia nervosa (AN). The findings showed that lower brain volumes and smaller increase in specific brain regions were associated with worse clinical outcome. Additionally, certain measures from functional MRI were also found to have predictive value. However, there is a lack of replication studies and further research is needed to validate these neuroimaging measures in AN patients.
Anorexia nervosa (AN) entails many uncertainties regarding the clinical outcome, due to large heterogeneity in the disease course. AN is associated with global decrease in brain volumes and altered brain functioning during acute illness. However, it is unclear whether structural and functional brain alterations can predict clinical outcome. We aimed to systematically review the predictive value of volumetric and functional brain outcome measures of structural and functional brain magnetic resonance imaging (MRI) on the disease course of AN. Four databases (Embase, Medline, Psycinfo, and Cochrane Central Register) were systematically searched. A total of 15 studies (structural MRI: n = 6, functional MRI: n = 9) were reviewed. In total 464 unique AN patients, and 328 controls were included. Follow-up time ranged between 1 and 43 months. Structural neuroimaging studies showed that lower brain volumes of the cerebellum, subcortical grey matter, and cortical white matter at admission predicted a worse clinical outcome. A smaller increase of the anterior cingulate cortex volume in the early phase of the disease predicted a worse clinical outcome. Lower overall gyrification, and a higher clustering coefficient predicted a worse clinical outcome. Functional MRI studies showed that frontal, parietal and temporal activity during task-based algorithms predicted follow-up body mass index, although results were bidirectional possibly due to the large heterogeneity in methodological approaches. Neuroimaging measures may predict the clinical outcome of AN. However, there is a lack of replication studies. Future studies are needed to validate the prognostic utility of neuroimaging measures in AN patients, and should harmonize demographic, clinical and neuroimaging features in order to enhance comparability.

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