An Overview of Resting State Functional Connectivity Studies of Major Depressive Disorder

2021 ◽  
pp. 297-312
Author(s):  
Henry W. Chase
Keyword(s):  
Major Depressive Disorder ◽  
Functional Connectivity ◽  
Depressive Disorder ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Major Depressive

Resting-state functional connectivity in major depressive disorder: A review

2015 ◽  
Vol 56 ◽  
pp. 330-344 ◽  
Author(s):  
Peter C. Mulders ◽  
Philip F. van Eijndhoven ◽  
Aart H. Schene ◽  
Christian F. Beckmann ◽  
Indira Tendolkar
Keyword(s):  
Major Depressive Disorder ◽  
Functional Connectivity ◽  
Depressive Disorder ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Major Depressive

scholarly journals Cerebello-cerebral Functional Connectivity Networks in Major Depressive Disorder: A CAN-BIND-1 Study Report

2021 ◽  
Author(s):  
Sheeba Arnold Anteraper ◽  
Xavier Guell ◽  
Yoon Ji Lee ◽  
Jovicarole Raya ◽  
Ilya Demchenko ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Functional Connectivity ◽  
Depressive Disorder ◽  
Resting State ◽  
Angular Gyrus ◽  
Resting State Functional Connectivity ◽  
Major Depressive ◽  
Motor Processing ◽  
And Function

Objective: Neuroimaging studies have demonstrated aberrant structure and function of the "cognitive-affective cerebellum" in Major Depressive Disorder (MDD), although the specific role of the cerebello-cerebral circuitry in this population remains largely uninvestigated. The objective of this study was to delineate the role of cerebellar functional networks in depression. Methods: A total of 308 unmedicated participants completed resting-state functional magnetic resonance imaging scans, of which 247 (148 MDD; 99 Healthy Controls, HC) were suitable for this study. Seed-based resting-state functional connectivity (RsFc) analysis was performed using three cerebellar regions of interest (ROIs): ROI1 corresponded to default mode network (DMN) / inattentive processing; ROI2 corresponded to attentional networks including frontoparietal, dorsal attention, and ventral attention; ROI3 corresponded to motor processing. These ROIs were delineated based on prior functional gradient analyses of the cerebellum. A general linear model was used to perform within-group and between-group comparisons. Results: In comparison to HC, participants with MDD displayed increased RsFc within the cerebello-cerebral DMN (ROI1) and significantly elevated RsFc between the cerebellar ROI1 and bilateral angular gyrus at a voxel threshold (p < 0.001, two-tailed) and at a cluster level (p < 0.05, FDR-corrected). Group differences were non-significant for ROI2 and ROI3. Conclusions: These results contribute to the development of a systems neuroscience approach to the diagnosis and treatment of MDD. Specifically, our findings confirm previously reported associations between MDD, DMN, and cerebellum, and highlight the promising role of these functional and anatomical locations for the development of novel imaging-based biomarkers and targets for neuromodulation therapies.

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