Skip to main content
Log in

A combined DTI and resting state functional MRI study in patients with postherpetic neuralgia

  • Original Article
  • Published:
Japanese Journal of Radiology Aims and scope Submit manuscript

Abstract

Purpose

To explore the brain microstructural and functional changes in patients with postherpetic neuralgia (PHN).

Materials and methods

12 PHN patients and 12 healthy volunteers were enrolled. Diffusion tensor imaging (DTI) and resting-state functional MRI (rfMRI) sequences were scanned by a 3T MR scanner. Fractional anisotropy (FA) and mean diffusivity (MD) t-maps were obtained following DTI data processing. The amplitude of low-frequency fluctuation (ALFF) and fractional ALFF (fALFF) were obtained following rfMRI data processing. A two sample t-test was performed to compare the FA, MD, ALFF and fALFF differences between the PHN patients and healthy controls.

Results

No significant differences were noted with regard to the parameters gender, age and education years between the two groups. FA, MD, ALFF and/or fALFF indicated significant alterations in specific pain or pain-related brain regions, such as brainstem, cerebellum, parietal lobe, precuneus, frontal lobe, temporal lobe, postcentral and precentral gyrus, corpus callosum, cingulate gyrus, putamen and insula.

Conclusion

Multi-local alterations of spontaneous brain activity could form a network related to chronic pain, sensory discrimination, emotion and cognition, suggesting complicated central mechanisms of PHN. The combined-action of brain microstructure and function may play a critical role in comprehension of neurological mechanisms of PHN-induced pain.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Tontodonati M, Ursini T, Polilli E, Vadini F, Di Masi F, Volpone D, et al. Post-herpetic neuralgia. Int J Gen Med. 2012;5:861–71.

    PubMed  PubMed Central  Google Scholar 

  2. Kim W, Chivukula S, Hauptman J, Pouratian N. Diffusion tensor imaging-based thalamic segmentation in deep brain stimulation for chronic pain conditions. Stereotact Funct Neurosurg. 2016;94(4):225–34.

    Article  Google Scholar 

  3. Ceko M, Shir Y, Ouellet JA, Ware MA, Stone LS, Seminowicz DA. Partial recovery of abnormal insula and dorsolateral prefrontal connectivity to cognitive networks in chronic low back pain after treatment. Hum Brain Mapp. 2015;36(6):2075–92.

    Article  Google Scholar 

  4. Lieberman G, Shpaner M, Watts R, Andrews T, Filippi CG, Davis M, et al. White matter involvement in chronic musculoskeletal pain. J Pain. 2014;15(11):1110–9.

    Article  Google Scholar 

  5. Cao S, Song G, Zhang Y, Xie P, Tu Y, Li Y, et al. Abnormal local brain activity beyond the pain matrix in postherpetic neuralgia patients: a resting-state functional MRI study. Pain Physician. 2017;20(2):E303–E314314.

    PubMed  Google Scholar 

  6. Chen F, Chen F, Shang Z, Shui Y, Wu G, Liu C, et al. White matter microstructure degenerates in patients with postherpetic neuralgia. Neurosci Lett. 2017;656:152–7.

    Article  CAS  Google Scholar 

  7. Zhang Y, Yu T, Qin B, Li Y, Song G, Yu B. Microstructural abnormalities in gray matter of patients with postherpetic neuralgia: a diffusional kurtosis imaging study. Pain Physician. 2016;19(4):E601–E611611.

    PubMed  Google Scholar 

  8. Van Hecke W, Leemans A, De Backer S, Jeurissen B, Parizel PM, Sijbers J. Comparing isotropic and anisotropic smoothing for voxel-based DTI analyses: a simulation study. Hum Brain Mapp. 2010;31(1):98–114.

    PubMed  Google Scholar 

  9. Cao S, Li Y, Deng W, Qin B, Zhang Y, Xie P, et al. Local Brain activity differences between herpes zoster and postherpetic neuralgia patients: a resting-state functional MRI study. Pain Physician. 2017;20(5):E687–E699699.

    PubMed  Google Scholar 

  10. Castarlenas E, Jensen MP, von Baeyer CL, Miro J. Psychometric properties of the numerical rating scale to assess self-reported pain intensity in children and adolescents: a systematic review. Clin J Pain. 2017;33(4):376–83.

    Article  Google Scholar 

  11. Cui Z, Zhong S, Xu P, He Y, Gong G. PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci. 2013;7:42.

    PubMed  PubMed Central  Google Scholar 

  12. Song XW, Dong ZY, Long XY, Li SF, Zuo XN, Zhu CZ, et al. REST: a toolkit for resting-state functional magnetic resonance imaging data processing. PLoS ONE. 2011;6(9):e25031.

    Article  CAS  Google Scholar 

  13. Chen X, Lu B, Yan CG. Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes. Hum Brain Mapp. 2018;39(1):300–18.

    Article  Google Scholar 

  14. Surjya Prasad U, Shiv Pratap R, Mishra S, Bhatnagar S. Successful treatment of an intractable postherpetic neuralgia (PHN) using peripheral nerve field stimulation (PNFS). Am J Hosp Palliat Care. 2010;27(1):59–62.

    Article  Google Scholar 

  15. Dai H, Yin D, Hu C, Morelli JN, Hu S, Yan X, et al. Whole-brain voxel-based analysis of diffusion tensor MRI parameters in patients with primary open angle glaucoma and correlation with clinical glaucoma stage. Neuroradiology. 2013;55(2):233–43.

    Article  Google Scholar 

  16. Zou QH, Zhu CZ, Yang Y, Zuo XN, Long XY, Cao QJ, et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J Neurosci Methods. 2008;172(1):137–41.

    Article  Google Scholar 

  17. Habas C, Kamdar N, Nguyen D, Prater K, Beckmann CF, Menon V, et al. Distinct cerebellar contributions to intrinsic connectivity networks. J Neurosci. 2009;29(26):8586–94.

    Article  CAS  Google Scholar 

  18. Moulton EA, Schmahmann JD, Becerra L, Borsook D. The cerebellum and pain: passive integrator or active participator? Brain Res Rev. 2010;65(1):14–27.

    Article  Google Scholar 

  19. Restuccia D, Marca GD, Valeriani M, Leggio MG, Molinari M. Cerebellar damage impairs detection of somatosensory input changes. A somatosensory mismatch-negativity study. Brain J Neurol. 2007;130(Pt 1):276–87.

    Google Scholar 

  20. Seifert F, Maihofner C. Representation of cold allodynia in the human brain—a functional MRI study. NeuroImage. 2007;35(3):1168–80.

    Article  Google Scholar 

  21. Valet M, Sprenger T, Boecker H, Willoch F, Rummeny E, Conrad B, et al. Distraction modulates connectivity of the cingulo-frontal cortex and the midbrain during pain—an fMRI analysis. Pain. 2004;109(3):399–408.

    Article  Google Scholar 

  22. Bogdanov VB, Vigano A, Noirhomme Q, Bogdanova OV, Guy N, Laureys S, et al. Cerebral responses and role of the prefrontal cortex in conditioned pain modulation: an fMRI study in healthy subjects. Behav Brain Res. 2015;281:187–98.

    Article  Google Scholar 

  23. Wu GR, Marinazzo D. Point-process deconvolution of fMRI BOLD signal reveals effective connectivity alterations in chronic pain patients. Brain Topogr. 2015;28(4):541–7.

    Article  Google Scholar 

  24. Lopez-Sola M, Pujol J, Wager TD, Garcia-Fontanals A, Blanco-Hinojo L, Garcia-Blanco S, et al. Altered functional magnetic resonance imaging responses to nonpainful sensory stimulation in fibromyalgia patients. Arthritis Rheumatol. 2014;66(11):3200–9.

    Article  Google Scholar 

  25. Fritz HC, McAuley JH, Wittfeld K, Hegenscheid K, Schmidt CO, Langner S, et al. Chronic back pain is associated with decreased prefrontal and anterior insular gray matter: results from a population-based cohort study. J Pain. 2016;17(1):111–8.

    Article  Google Scholar 

  26. Liu J, Hao Y, Du M, Wang X, Zhang J, Manor B, et al. Quantitative cerebral blood flow mapping and functional connectivity of postherpetic neuralgia pain: a perfusion fMRI study. Pain. 2013;154(1):110–8.

    Article  Google Scholar 

Download references

Funding

This work was mainly supported by the National Natural Science Foundation of China (Grant numbers 81971573, 81671743, 81201079, 81471136, 81701098), Jiangsu Provincial Medical Youth Talent (Grant numbers QNRC2016709, QNRC2016740), Special Technical Project of Diagnosis and Treatment of Key Clinical Diseases of Suzhou (Grant number LCZX201801), and the "Six-one Project" for High-level Health Talents in Jiangsu Province (Grant number LGY2016035).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Lina Wang or Yonggang Li.

Ethics declarations

Conflict of interest

The authors declare that there is no conflict of interest.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Ethical statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dai, H., Jiang, C., Wu, G. et al. A combined DTI and resting state functional MRI study in patients with postherpetic neuralgia. Jpn J Radiol 38, 440–450 (2020). https://doi.org/10.1007/s11604-020-00926-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11604-020-00926-4

Keywords

Navigation