Disrupted Resting State Network of Fibromyalgia in Theta frequency

Mi Kyung Choe, Manyoel Lim, June Sic Kim, Dong Soo Lee, Chun Kee Chung, Mi Kyung Choe, Manyoel Lim, June Sic Kim, Dong Soo Lee, Chun Kee Chung

Abstract

Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external stimuli and is associated with altered brain activities during resting state. To understand the topological features of brain network in FM, we employed persistent homology which is a multiple scale network modeling framework not requiring thresholding. Spontaneous magnetoencephalography (MEG) activity was recorded in 19 healthy controls (HCs) and 18 FM patients. Barcode, single linkage dendrogram and single linkage matrix were generated based on the proposed modeling framework. In theta band, the slope of decrease in the number of connected components in barcodes showed steeper in HC, suggesting FM patients had decreased global connectivity. FM patients had reduced connectivity within default mode network, between middle/inferior temporal gyrus and visual cortex. The longer pain duration was correlated with reduced connectivity between inferior temporal gyrus and visual cortex. Our findings demonstrated that the aberrant resting state network could be associated with dysfunction of sensory processing in chronic pain. The spontaneous nature of FM pain may accrue to disruption of resting state network.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
The barcode of the fibromyalgia (FM) and healthy controls (HCs) over increasing filtration values in theta frequency. Azure ones indicate that the barcodes of FM subjects, and yellow-orange ones indicate that the barcodes of HC subjects. The blue one is the mean of barcode for FM patients, and the red one is the mean of barcode for HCs. The number of connected components represents clustered set of nodes covering whole brain and indicate global connectivity of brain network.
Figure 2
Figure 2
Local network properties based on persistent homology in theta band. Comparison of single linkage matrix (SLM) between fibromyalgia (FM) patients and healthy controls (HCs) (upper). Difference in the resting state network between FM and HC (p < 0.001) (lower). L, left; R, right; F1, superior frontal gyrus, dorsolateral; F2, middle frontal gyrus; F1M, superior frontal gyrus, medial; P1, superior parietal gyrus; PCIN, posterior cingulate gyrus; PQ, precuneus; ACIN, anterior cingulate gyrus; T2, middle temporal gyrus; V1, calcarine fissure; Q, cuneus; LING, lingual gyrus; O1, superior occipital gyrus; O3, Inferior occipital gyrus; FUSI, fusiform gyrus; T3, Inferior temporal gyrus; AN, auditory network; DAN, dorsal attention network; DMN, default mode network; SMN, somatosensory network; VN, visual network.
Figure 3
Figure 3
Clinical correlation between Single linkage distance (SLD) and disease duration in fibromyalgia (FM) patients. R, right; Q, cuneus; T3, Inferior temporal gyrus.
Figure 4
Figure 4
Flowchart of network analysis based on persistent homology. Neural activities on the source level were extracted at the predefined 76 nodes and the distance matrix was calculated. Graph filtration based on persistent homology was performed generating barcode, single linkage dendrogram, and single linkage matrix.

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