Abnormal functional connectivity of the salience network in insomnia

doi:10.1007/s11682-021-00567-9

. 2022 Apr;16(2):930-938.

doi: 10.1007/s11682-021-00567-9. Epub 2021 Oct 23.

Abnormal functional connectivity of the salience network in insomnia

Yongxin Cheng^#¹, Ting Xue^#^{2

3}, Fang Dong¹, Yiting Hu¹, Mi Zhou¹, Xiaojian Li¹, Ruoyan Huang¹, Xiaoqi Lu⁴, Kai Yuan^{5

6}, Dahua Yu⁷

Affiliations

¹ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.
² Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. xueting41@imust.edu.cn.
³ School of Science, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. xueting41@imust.edu.cn.
⁴ School of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, Inner Mongolia, China.
⁵ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. kyuan@xidian.edu.cn.
⁶ Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, Shaanxi, China. kyuan@xidian.edu.cn.
⁷ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. fmydh@imust.edu.cn.

^# Contributed equally.

PMID: 34686967
DOI: 10.1007/s11682-021-00567-9

Abnormal functional connectivity of the salience network in insomnia

Yongxin Cheng et al. Brain Imaging Behav. 2022 Apr.

. 2022 Apr;16(2):930-938.

doi: 10.1007/s11682-021-00567-9. Epub 2021 Oct 23.

Authors

Yongxin Cheng^#¹, Ting Xue^#^{2

3}, Fang Dong¹, Yiting Hu¹, Mi Zhou¹, Xiaojian Li¹, Ruoyan Huang¹, Xiaoqi Lu⁴, Kai Yuan^{5

6}, Dahua Yu⁷

Affiliations

¹ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.
² Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. xueting41@imust.edu.cn.
³ School of Science, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. xueting41@imust.edu.cn.
⁴ School of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, Inner Mongolia, China.
⁵ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. kyuan@xidian.edu.cn.
⁶ Life Sciences Research Center, School of Life Science and Technology, Xidian University, Xi'an, 710071, Shaanxi, China. kyuan@xidian.edu.cn.
⁷ Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China. fmydh@imust.edu.cn.

^# Contributed equally.

PMID: 34686967
DOI: 10.1007/s11682-021-00567-9

Abstract

The salience network plays an important role in detecting stimuli related to behavior and integrating neural processes. The aim of this study was to investigate changes in functional connectivity of the salience network in insomnia patients. Independent component analysis combined with a dual regression approach was used to examine functional connectivity differences in the salience network between patients with insomnia (n = 33) and healthy controls (n = 33). Pearson correlation analysis was used to analyze the relationship between differences in functional connectivity and the clinical characteristics of insomnia patients. Compared to healthy controls, insomnia patients showed increased functional connectivity in the dorsal anterior cingulate cortex within the salience network, as well as greater connectivity between the salience network and other brain regions including the dorsolateral prefrontal cortex, superior frontal gyrus, sensorimotor area and brain stem. The correlation analysis showed that increased functional connectivity between the salience network and left dorsolateral prefrontal cortex was positively correlated with Pittsburgh Sleep Quality Index score. Increased functional connectivity between salience network and several brain regions may be related to hyperarousal in insomnia patients. The connectivity between salience network and dorsolateral prefrontal cortex may potentially be used as a neuroimaging biomarker of sleep quality.

Keywords: Dual regression; Independent component analysis; Insomnia; Resting-state functional connectivity; Salience network.

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References

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1. Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1457), 1001–1013. https://doi.org/10.2307/30041321 - DOI
1. Beckmann, C. F., Mackay, C. E., Filippini, N., & Smith, S. M. (2009). Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. NeuroImage, 47(Suppl 1), S148. https://doi.org/10.1016/S1053-8119(09)71511-3 - DOI
1. Beckmann, C., & Smith, S. (2004). Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Transactions on Medical Imaging, 23(2), 137–152. https://doi.org/10.1109/TMI.2003.822821 - DOI - PubMed
1. Bush, G., Luu, P., & Posner, M. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences, 4(6), 215–222. https://doi.org/10.1016/s1364-6613(00)01483-2 - DOI - PubMed

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[1] American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-V. American Psychiatric Press. - DOI

[2] American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-V. American Psychiatric Press. - DOI

[3] Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1457), 1001–1013. https://doi.org/10.2307/30041321 - DOI

[4] Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1457), 1001–1013. https://doi.org/10.2307/30041321 - DOI

[5] Beckmann, C. F., Mackay, C. E., Filippini, N., & Smith, S. M. (2009). Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. NeuroImage, 47(Suppl 1), S148. https://doi.org/10.1016/S1053-8119(09)71511-3 - DOI

[6] Beckmann, C. F., Mackay, C. E., Filippini, N., & Smith, S. M. (2009). Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. NeuroImage, 47(Suppl 1), S148. https://doi.org/10.1016/S1053-8119(09)71511-3 - DOI

[7] Beckmann, C., & Smith, S. (2004). Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Transactions on Medical Imaging, 23(2), 137–152. https://doi.org/10.1109/TMI.2003.822821 - DOI - PubMed

[8] Beckmann, C., & Smith, S. (2004). Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Transactions on Medical Imaging, 23(2), 137–152. https://doi.org/10.1109/TMI.2003.822821 - DOI - PubMed

[9] Bush, G., Luu, P., & Posner, M. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences, 4(6), 215–222. https://doi.org/10.1016/s1364-6613(00)01483-2 - DOI - PubMed

[10] Bush, G., Luu, P., & Posner, M. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Sciences, 4(6), 215–222. https://doi.org/10.1016/s1364-6613(00)01483-2 - DOI - PubMed

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Abnormal functional connectivity of the salience network in insomnia

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