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Journal Article

Citation

Ding Y, Ou Y, Yan H, Fu X, Yan M, Li H, Liu F, Guo W. Front. Cell Neurosci. 2022; 16.

Copyright

(Copyright © 2022, Frontiers Research Foundation)

DOI

10.3389/fncel.2022.833592

PMID

unavailable

Abstract

Gastrointestinal (GI) symptoms are one of the common somatic symptoms presented in patients with major depressive disorder (MDD). Higher frequency of GI symptoms and higher GI symptom burden were linked to greater depression severity and increased risk of suicide ideation. However, few studies have explored the underlying mechanisms of GI symptoms in MDD. Based on previous studies, the cerebellar-DMN circuits may play a potentially critical role in GI symptoms comorbid with depression. Fifty-two first-episode drug-naive patients with MDD (35 with GI symptoms and 17 without GI symptoms) and 28 matched healthy controls were recruited in the current study and underwent resting-state functional magnetic resonance imaging scan. Cerebellar seed-based functional connectivity maps were established. Relative to depressed patients without GI symptoms, significantly increased cerebellar-anterior default mode network (DMN) connectivities were found in those with GI symptoms. Both increased and decreased functional connectivities were found between cerebellum and posterior DMN in patients with GI symptoms compared with those without GI symptoms and healthy controls. Moreover, the right Crus I - right superior temporal gyrus connectivity value was related to severity of GI symptoms and depression in all patients with MDD. The support vector machine analysis demonstrated a satisfactory classification accuracy (89%) of the disrupted cerebellar-DMN connectivities for correctly identifying MDD patients with GI symptoms. These results revealed the possible neural mechanisms for the involvement of cerebellar-DMN circuits in GI symptoms co-occurred with MDD. Copyright © 2022 Ding, Ou, Yan, Fu, Yan, Li, Liu and Guo.


Language: en

Keywords

adult; human; female; male; functional magnetic resonance imaging; major depressive disorder; major depression; major clinical study; controlled study; nuclear magnetic resonance imaging; gastrointestinal symptom; sensitivity and specificity; head movement; neuropsychological test; electroencephalography; Article; receiver operating characteristic; cerebellum; DSM-5; diagnostic test accuracy study; support vector machine; Hamilton Depression Rating Scale; network analysis; default mode network; functional connectivity; retinal nerve fiber layer thickness; Montreal cognitive assessment; image segmentation; gastrointestinal symptoms

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