4.7 Article

Disrupted default mode network dynamics in recuperative patients of herpes zoster pain

期刊

CNS NEUROSCIENCE & THERAPEUTICS
卷 26, 期 12, 页码 1278-1287

出版社

WILEY
DOI: 10.1111/cns.13433

关键词

brain network; default mode network; herpes zoster; recuperation; resting-state functional MRI

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Introduction Previous studies of herpes zoster (HZ) have focused on acute patient manifestations and the most common sequela, postherpetic neuralgia (PHN), both serving to disrupt brain dynamics. Although the majority of such patients gradually recover, without lingering severe pain, little is known about life situations of those who recuperate or the brain dynamics. Our goal was to determine whether default mode network (DMN) dynamics of the recuperative population normalize to the level of healthy individuals. Methods For this purpose, we conducted resting-state functional magnetic resonance imaging (fMRI) studies in 30 patients recuperating from HZ (RHZ group) and 30 healthy controls (HC group). Independent component analysis (ICA) was initially undertaken in both groups to extract DMN components. DMN spatial maps and within-DMN functional connectivity were then compared by group and then correlated with clinical variables. Results Relative to controls, DMN spatial maps of recuperating patients showed higher connectivity in middle frontal gyrus (MFG), right/left medial temporal regions of cortex (RMTC/LMTC), right parietal lobe, and parahippocampal gyrus. The RHZ (vs HC) group also demonstrated significant augmentation of within-DMN connectivity, including that of LMTC-MFG and LMTC-posterior cingulate cortex (PCC). Furthermore, the intensity of LMTC-MFG connectivity correlated significantly with scoring of pain-induced emotions and life quality. Conclusion Findings of this preliminary study indicate that a disrupted dissociative pattern of DMN persists in patients recuperating from HZ, relative to healthy controls. We have thus provisionally established the brain mechanisms accounting for major outcomes of HZ, offering heuristic cues for future research on HZ transition states.

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