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Intra- and inter-resting-state networks abnormalities in overactive bladder syndrome patients: an independent component analysis of resting-state fMRI

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Abstract

Purpose

This study aims to determine whether intra-network and inter-network brain connectivities are altered using an independent component analysis (ICA).

Methods

Resting-state functional MRI (rs-fMRI) data were acquired from 26 patients with OAB and 28 healthy controls (HC). Eleven resting-state networks (RSNs) were identified via ICA. General linear model (GLM) was used to compare intra-network FC and inter-network FC of RSNs between the two groups. Pearson correlation analyses were performed to investigate the relationship between the identified RSNs and clinical variables.

Results

Compared with HC, the OAB group showed abnormal FC within the sensorimotor-related network (SMN), the dorsal attention network (DAN), the dorsal visual network (dVN), and the left frontoparietal network (LFPN). With respect to inter-network interactions, decreased FC was detected between the SMN and the anterior default mode network (aDMN).

Conclusion

This study demonstrated that abnormal FC between RSNs may reflect the altered resting state of the brain–bladder network. The findings of this study provide complementary evidence that can help further understand the neural substrates of the overactive bladder.

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References

  1. Abrams P, Cardozo L, Fall M, Griffiths D, Rosier P, Ulmsten U, Van Kerrebroeck P, Victor A, Wein A (2003) The standardisation of terminology in lower urinary tract function: report from the standardisation sub-committee of the International Continence Society. Urology 61(1):37–49

    Article  Google Scholar 

  2. Coyne KS, Sexton CC, Vats V, Thompson C, Kopp ZS, Milsom I (2011) National community prevalence of overactive bladder in the United States stratified by sex and age. Urology 77(5):1081–1087. https://doi.org/10.1016/j.urology.2010.08.039

    Article  PubMed  Google Scholar 

  3. Milsom I, Abrams P, Cardozo L, Roberts RG, Thuroff J, Wein AJ (2001) How widespread are the symptoms of an overactive bladder and how are they managed? A population-based prevalence study. BJU Int 87(9):760–766

    Article  CAS  Google Scholar 

  4. Abrams P, Andersson KE, Birder L, Brubaker L, Cardozo L, Chapple C, Cottenden A, Davila W, de Ridder D, Dmochowski R, Drake M, Dubeau C, Fry C, Hanno P, Smith JH, Herschorn S, Hosker G, Kelleher C, Koelbl H, Khoury S, Madoff R, Milsom I, Moore K, Newman D, Nitti V, Norton C, Nygaard I, Payne C, Smith A, Staskin D, Tekgul S, Thuroff J, Tubaro A, Vodusek D, Wein A, Wyndaele JJ (2010) Fourth International Consultation on Incontinence Recommendations of the International Scientific Committee: evaluation and treatment of urinary incontinence, pelvic organ prolapse, and fecal incontinence. Neurourol Urodyn 29(1):213–240. https://doi.org/10.1002/nau.20870

    Article  CAS  PubMed  Google Scholar 

  5. Griffiths D, Derbyshire S, Stenger A, Resnick N (2005) Brain control of normal and overactive bladder. J Urol 174(5):1862–1867. https://doi.org/10.1097/01.ju.0000177450.34451.97

    Article  PubMed  Google Scholar 

  6. Griffiths D, Tadic SD (2008) Bladder control, urgency, and urge incontinence: evidence from functional brain imaging. Neurourol Urodyn 27(6):466–474. https://doi.org/10.1002/nau.20549

    Article  PubMed  Google Scholar 

  7. Griffiths DJ (2011) Use of functional imaging to monitor central control of voiding in humans. Handb Exp Pharmacol 202:81–97. https://doi.org/10.1007/978-3-642-16499-6_5

    Article  CAS  Google Scholar 

  8. Du Y, Fan Y (2013) Group information guided ICA for fMRI data analysis. NeuroImage 69:157–197. https://doi.org/10.1016/j.neuroimage.2012.11.008

    Article  PubMed  Google Scholar 

  9. Beckmann CF, DeLuca M, Devlin JT, Smith SM (2005) Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci 360(1457):1001–1013. https://doi.org/10.1098/rstb.2005.1634

    Article  PubMed  PubMed Central  Google Scholar 

  10. Gad PN, Roy RR, Zhong H, Gerasimenko YP, Taccola G, Edgerton VR (2016) Neuromodulation of the neural circuits controlling the lower urinary tract. Exp Neurol 285:182–189

    Article  Google Scholar 

  11. Rickenbacher E, Baez MA, Hale L, Leiser SC, Zderic SA, Valentino RJ (2008) Impact of overactive bladder on the brain: central sequelae of a visceral pathology. Proc Natl Acad Sci USA 105(30):10589–10594. https://doi.org/10.1073/pnas.0800969105

    Article  PubMed  Google Scholar 

  12. Nour S, Svarer C, Kristensen JK, Paulson OB, Law I (2000) Cerebral activation during micturition in normal men. Brain 123(Pt 4):781–789

    Article  Google Scholar 

  13. Spreng RN, Stevens WD, Chamberlain JP, Gilmore AW, Schacter DL (2010) Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition. NeuroImage 53(1):303–317. https://doi.org/10.1016/j.neuroimage.2010.06.016

    Article  PubMed  PubMed Central  Google Scholar 

  14. Spreng RN, DuPre E, Selarka D, Garcia J, Gojkovic S, Mildner J, Luh WM (2014) Goal-congruent default network activity facilitates cognitive control. J Neurosci 34(42):14108–14114. https://doi.org/10.1523/jneurosci.2815-14.2014

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Xu X, Yuan H, Lei X (2016) Activation and connectivity within the default mode network contribute independently to future-oriented thought. Sci Rep 6:21001. https://doi.org/10.1038/srep21001

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Blok BF (2002) Central pathways controlling micturition and urinary continence. Urology 59(5 Suppl 1):13–17

    Article  Google Scholar 

  17. Griffiths D, Tadic SD, Schaefer W, Resnick NM (2007) Cerebral control of the bladder in normal and urge-incontinent women. NeuroImage 37:1–7

    Article  Google Scholar 

  18. Tadic SD, Griffiths D, Schaefer W, Resnick NM (2008) Abnormal connections in the supraspinal bladder control network in women with urge urinary incontinence. NeuroImage 39:1647–1653

    Article  Google Scholar 

  19. Dhond RP, Yeh C, Park K, Kettner N, Napadow V (2008) Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain 136(3):407–418. https://doi.org/10.1016/j.pain.2008.01.011

    Article  PubMed  PubMed Central  Google Scholar 

  20. Power Jonathan D, Cohen Alexander L, Nelson Steven M, Wig Gagan S, Barnes Kelly A, Church Jessica A, Vogel Alecia C, Laumann Timothy O, Miezin Fran M, Schlaggar Bradley L, Petersen Steven E (2011) Functional network organization of the human brain. Neuron 72(4):665–678. https://doi.org/10.1016/j.neuron.2011.09.006

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Duncan J (2010) The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour. Trends Cogn Sci 14(4):172–179. https://doi.org/10.1016/j.tics.2010.01.004

    Article  PubMed  Google Scholar 

  22. Corbetta M, Shulman GL (2002) Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci 3(3):201

    Article  CAS  Google Scholar 

  23. Dosenbach NUF, Fair DA, Miezin FM, Cohen AL, Wenger KK, Dosenbach RAT, Fox MD, Snyder AZ, Vincent JL, Raichle ME, Schlaggar BL, Petersen SE (2007) Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci 104(26):11073–11078. https://doi.org/10.1073/pnas.0704320104

    Article  CAS  PubMed  Google Scholar 

  24. Migliaccio R, Gallea C, Kas A, Perlbarg V, Samri D, Trotta L, Michon A, Lacomblez L, Dubois B, Lehericy S, Bartolomeo P (2016) Functional connectivity of ventral and dorsal visual streams in posterior cortical atrophy. J Alzheimer’s Dis 51(4):1119–1130. https://doi.org/10.3233/jad-150934

    Article  Google Scholar 

  25. Goodale MA, Milner AD (1992) Separate visual pathways for perception and action. Trends Neurosci 15(1):20–25

    Article  CAS  Google Scholar 

  26. Tadic SD, Holstege G, Griffiths DJ (2012) The CNS and bladder dysfunction. F1000 Med Reps 4:20. https://doi.org/10.3410/m4-20

    Article  Google Scholar 

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Funding

This study was supported by grants from the National Nature Science Foundation of China (No. Grant nos. 81541129, 81301016, KZ73100001) and the Beihang University Research Fund Program under Project ZG216S1871.

Author information

Author notes

  1. Long Zuo and Jingnan Chen contributed equally to this work.

Authors and Affiliations

  1. Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China

    Long Zuo, Shuangkun Wang, Yang Zhou & Hua Gu

  2. School of Economics and Management, Beihang University, Beijing, China

    Jingnan Chen

  3. Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China

    Biao Wang

Authors
  1. Long Zuo
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  2. Jingnan Chen
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  3. Shuangkun Wang
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  4. Yang Zhou
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  5. Biao Wang
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  6. Hua Gu
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Contributions

LZ: data collection or management, data analysis, manuscript writing and editing. JC: data analysis, manuscript writing and editing. SW: protocol/project development. YZ: data collection or management. BW: data collection or management. HG: protocol/project development.

Corresponding author

Correspondence to Shuangkun Wang.

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Conflict of interest

All the authors declare that they have no conflict of interest to declare.

Research involving human participants and/or animals

Human participants: yes; animals: no. This study was approved by the Committee for Human Research in Beijing Chaoyang Hospital and followed by all regulations (Grant nos. 2015-ke-21).

Informed consent

All the patients have provided informed consent.

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Zuo, L., Chen, J., Wang, S. et al. Intra- and inter-resting-state networks abnormalities in overactive bladder syndrome patients: an independent component analysis of resting-state fMRI. World J Urol 38, 1027–1034 (2020). https://doi.org/10.1007/s00345-019-02838-z

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  • DOI: https://doi.org/10.1007/s00345-019-02838-z

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