Editorial: Functional and Structural Connectomics of Mood Disorders

This report calls to attention the importance of keeping the dynamic nature of the functional connectome in mind while exploring biomarkers of illness severity and treatment response in mood disorders. Finally, confounding effects of comorbid conditions such as sleep disturbance frequently seen in mood disorders need to be addressed while studying the connectome. Klumpp et al. report that regardless of diagnosis of depression or anxiety disorder, poor self-reported sleep quality correlates with abnormal amygdala connectivity. Poor reported sleep correlated negatively with left amygdala-subgenual connectivity and positively with cerebellar-temporal gyrus resting state functional connectivity. The findings of this study suggest that sleep-related abnormalities seen in psychiatric disorders may be transdiagnostic and it is important to control for them in data analysis. The importance of age and gender effects on connectome metrics is increasingly recognized. Using a novel approach, Conrin et al. report that gender differences in the hierarchical modularity of the functional connectome changes with age. Differences between males and females start appearing in the 26–30 years age group and become more significant by 31–35 year age. This change in difference over time was primarily derived from changing hierarchical modular structure in males while in females the modular structure remained more stable. Anxiety and inattention symptomatology correlated with a Task...
Source: Frontiers in Psychiatry - Category: Psychiatry Source Type: research