Within- and across-network alterations in the default network and in visual networkpatients with somatic symptom disorder

Elsevier

Available online 6 November 2022, 111563

Psychiatry Research: NeuroimagingHighlights•

SSDs showed higher fALFF values within the default network.

SSDs showed increased FC within the visual network

SSDs exhibited decreased FC between the default network and visual network

The results indicate an imbalance within and between networks in SSDs.

AbstractBackground

Somatic symptom disorders (SSDs) are common medical disorders characterized by various biological, psychological, and social pathogenic factors. Little is known about the functional profiles associated with SSDs within and between brain networks.

Methods

In this study, resting-state functional magnetic resonance imaging (fMRI) was assessed in 60 patients with SSD and 62 matched healthy controls (HCs). Independent component analysis (ICA) of 20 components was conducted and investigated for functional connectivity changes within and acrossnetworks between patients and controls. In addition, fractional amplitudes of low-frequency fluctuation (fALFF) were used to detect intensities of spontaneous functional activity in networks successfully separated by ICA.

Results

The patients with SSD exhibited significantly increased functional connectivity (FC) in the left lingual gyruswithin thevisual network, and higher fALFF values in the cingulate cortex and precuneus within the default network. Furthermore, SSD patients showedsignificantly decreased FC between the default and visual networks.

Conclusion

SSD is associated with significant changes within thevisual network, and the defaultnetwork, and decreased FC between the default network and visual network, which may indicate an imbalance within and between networks. These decouplings are likely associated with impaired perceptual and self-conscious integration in those with the disease.

Keywords

Somatic symptom disorders

independent component analysis (ICA)

fractional amplitudes of low-frequency fluctuation

functional connectivity

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