Cerebello-cerebral Functional Connectivity Networks in Major Depressive Disorder: a CAN-BIND-1 Study Report
Sheeba Arnold Anteraper1,2,3, Xavier Guell4, Yoon Ji Lee1
1Department of Psychology, Northeastern University, Boston, MA, USA.
Cerebellum (London, England)
|January 13, 2022
Summary
Major depressive disorder (MDD) is linked to altered cerebellum function, specifically within the default mode network (DMN). This study found increased connectivity in the cerebello-cerebral DMN in MDD patients, suggesting new diagnostic and treatment targets.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Neuroimaging reveals abnormal "cognitive-affective cerebellum" structure and function in major depressive disorder (MDD).
- The precise role of cerebello-cerebral circuitry in MDD remains under-explored.
Purpose of the Study:
- To investigate the function of cerebellar networks in depression.
- To delineate the role of cerebellar functional connectivity in major depressive disorder.
Main Methods:
- Resting-state functional magnetic resonance imaging (RsFc) was conducted on 247 participants (148 MDD, 99 healthy controls).
- Seed-based RsFc analysis focused on three cerebellar regions of interest (ROIs): default mode network (DMN)/inattentive processing (ROI1), attentional networks (ROI2), and motor processing (ROI3).
- General linear models were used for within-group and between-group comparisons.
Main Results:
- MDD participants showed increased RsFc within the cerebello-cerebral DMN (ROI1) compared to healthy controls.
- Significantly elevated RsFc was observed between cerebellar ROI1 and the bilateral angular gyrus in MDD patients.
- No significant group differences were found for attentional (ROI2) or motor (ROI3) cerebellar networks.
Conclusions:
- Findings support a systems neuroscience approach to MDD diagnosis and treatment.
- The study confirms associations between MDD, DMN, and the cerebellum.
- Cerebellar DMN connectivity presents potential for novel imaging biomarkers and neuromodulation targets in MDD.
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