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Poster B10

Intracranial neurophysiological mechanisms underlying rumination

Poster Session B - Sunday, April 14, 2024, 8:00 – 10:00 am EDT, Sheraton Hall ABC

Xiao Chen1 (, Zhen Fan2, Dong Chen1, Liang Wang1, Liang Chen2, Chao-Gan Yan1; 1Institute of Psychology, Chinese Academy of Sciences, 2Department of Neurosurgery of Huashan Hospital, Fudan University

Rumination is uncontrollable, self-reflective, and repetitive thinking about the distress and its possible causes and consequences (Watkins & Roberts, 2020). A wealth of studies has linked it to major depressive disorder (MDD) and indicated its pivotal role in the psychopathology of MDD (Lyubomirsky et al., 2015). Accordingly, a better understanding of its neural basis may pave the way for the next-generation treatment of MDD. Existing evidence from studies using functional magnetic resonance imaging (fMRI) has shown that brain regions of the default mode network (DMN) are involved in active rumination (Zhou et al., 2020). Our previous study further highlighted the enhanced functional connectivity between two subsystems of DMN (i.e., core subsystem and medial temporal lobe (MTL) subsystem) in the neural mechanism underlying the rumination (Chen et al., 2020). To date, no research has investigated the electrophysiological organization underlying the existing functional neuroimaging evidence. Here, leveraging the intracranial electroencephalogram (iEEG) recordings from a group of patients with epilepsy engaging in an active rumination state, we intended to delineate the electrophysiological features of two key nodes from the core subsystem (precuneus) and the MTL subsystem (parahippocampal gyrus). We found dissociated power changes in the precuneus and parahippocampal gyrus during a continuous rumination state as compared to the control condition. Our results unveiled the electrophysiological mechanism underlying the functional coupling between the core and MTL subsystems of DMN during an active rumination state.

Topic Area: EMOTION & SOCIAL: Emotional responding


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