Altered Functional Connectivity of Salience Network in Mood Disorders
| Autor: | A. Todeva-Radneva, R. Paunova, D. Stoyanov, T. Zdravkova, S. Kandilarova |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | European Psychiatry, Vol 66, Pp S610-S611 (2023) |
| Druh dokumentu: | article |
| ISSN: | 0924-9338 1778-3585 |
| DOI: | 10.1192/j.eurpsy.2023.1273 |
| Popis: | Introduction Despite the significant scientific progress in the study of the mechanisms underlying mental disorders, stable biomarkers facilitating their diagnosis and differential diagnosis are lacking. Therefore, we attempted to explore possible functional connectivity (FC) differences across some of the more prevalent mental disorders, namely mood disorders. Objectives The current study aimed at investigating the alterations of the functional connectivity of major seeds of the Salience Network (SN) (the Anterior Cingulate Cortex (ACC), and Anterior Insula (AI) in patients with unipolar (Major Depressive Disorder-MDD) or bipolar (Bipolar Disorder-BD) depression as compared to healthy controls (HC). Methods For this study 103 adult subjects underwent resting-state Magnetic Resonance Imaging of whom 60 were patients with a depressive episode (MDD: n=35; BD: n=25), and 43 were healthy controls (HC). The individuals in both groups were matched for age and gender. Each participant has provided written informed consent (Ethics Committee: P186/22.01.2021). Seed-to-voxel analysis was performed via the CONN toolbox running on MATLAB. Random Field Theory parametric statistics was used with a cluster-level FWE correction p |
| Databáze: | Directory of Open Access Journals |
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