AI Article Synopsis

  • The study investigates the nucleus accumbens (NAc), which is key in reward processing and its role in major depressive disorder (MDD).
  • Through meta- and mega-analysis of resting-state fMRI data, it was found that patients with recurrent MDD exhibited decreased functional connectivity within the NAc-based reward circuits.
  • The research highlights that disrupted connectivity between the reward network and the default mode network (DMN) may aid in differentiating MDD patients from healthy individuals, suggesting potential biomarkers for diagnosis.

Article Abstract

The nucleus accumbens (NAc) is considered a hub of reward processing and a growing body of evidence has suggested its crucial role in the pathophysiology of major depressive disorder (MDD). However, inconsistent results have been reported by studies on reward network-focused resting-state functional MRI (rs-fMRI). In this study, we examined functional alterations of the NAc-based reward circuits in patients with MDD via meta- and mega-analysis. First, we performed a coordinated-based meta-analysis with a new SDM-PSI method for all up-to-date rs-fMRI studies that focused on the reward circuits of patients with MDD. Then, we tested the meta-analysis results in the REST-meta-MDD database which provided anonymous rs-fMRI data from 186 recurrent MDDs and 465 healthy controls. Decreased functional connectivity (FC) within the reward system in patients with recurrent MDD was the most robust finding in this study. We also found disrupted NAc FCs in the DMN in patients with recurrent MDD compared with healthy controls. Specifically, the combination of disrupted NAc FCs within the reward network could discriminate patients with recurrent MDD from healthy controls with an optimal accuracy of 74.7%. This study confirmed the critical role of decreased FC in the reward network in the neuropathology of MDD. Disrupted inter-network connectivity between the reward network and DMN may also have contributed to the neural mechanisms of MDD. These abnormalities have potential to serve as brain-based biomarkers for individual diagnosis to differentiate patients with recurrent MDD from healthy controls.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170720PMC
http://dx.doi.org/10.1038/s41398-022-01995-xDOI Listing

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