Resting-State Functional Connectivity of the Fronto-Limbic and Default Mode Networks as Predictors of Antidepressant Response in Major Depressive Disorder

BackgroundMajor depressive disorder (MDD) is a leading cause of disability worldwide, yet treatment response to antidepressants remains highly variable, with a significant proportion of patients failing to achieve remission. Resting-state functional connectivity (RSFC) studies have linked MDD to large-scale brain network dysregulation, but methodological inconsistencies and limited focus on treatment response have hindered clinical translation. MethodsIn this study, we conducted a resting-state fMRI study as part of an 8-week antidepressant trial on 86 patients with MDD and 93 healthy controls (HCs). Utilizing a seed-to-voxel approach with brain regions identified in previous studies on neural networks implicated in antidepressant response, we examined RSFC patterns associated with treatment outcomes. Additionally, we explored their relationships with cognitive function and depressive severity to elucidate the neural mechanisms underlying treatment response. ResultsCompared to the non-responder group, antidepressant responders exhibited significantly higher FCs between the prefrontal cortex, thalamus, amygdala, and posterior cingulate cortex (PCC). In responders, FC between the left amygdala and supramarginal gyrus, as well as the ventromedial prefrontal cortex (VMPFC) and lateral occipital cortex, was negatively correlated with cognitive scores. Conversely, in the non-responder group, FC between the left subgenual anterior cingulate cortex (sgACC) and lateral occipital cortex was negatively correlated with digit span but positively with other cognitive tasks. FCs involving the amygdala, thalamus, and VMPFC were correlated with depression scale scores. ConclusionsThe present study highlights the role of intrinsic FC patterns in differentiating antidepressant responders from non-responders in MDD. Enhanced connectivity within networks related to emotion regulation, cognitive control, and attention in responders suggests neural mechanisms supporting improved emotional and cognitive flexibility.