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Neurodegeneration within the rostral spinal cord is associated with brain gray matter volume atrophy in the early stage of cervical spondylotic myelopathy

Abstract

Study design

Case-control study.

Objectives

Investigating the association between neurodegeneration within rostral spinal cord and brain gray matter volume (GMV) and assessing the relationship between remote neurodegenerative changes and clinical outcomes at the early phase of Cervical Spondylotic Myelopathy (CSM).

Setting

University/hospital.

Methods

Using Spinal Cord Toolbox, spinal cord morphometrics (cross-sectional area [CSA], gray matter area [GMA], white matter area [WMA]) of 40 patients with CSM and 28 healthy controls (HCs) were computed and compared using two-sample t test. Brain GMV of the two groups was analyzed using voxel-based morphometry approach. Pearson’s correlation between spinal cord morphometrics and altered brain GMV and Spearman’s relationship between remote neurodegenerations and clinical outcomes were conducted in CSM group.

Results

Compared to HCs, CSA and WMA at C2/3 and GMV in right postcentral gyrus (PoCG.R) and left supplementary motor area (SMA.L) were significantly decreased in patients with CSM. CSA and WMA at C2/3 were associated with GMV in SMA.L and MCG.R in patients with CSM. CSA at C2/3 and GMV in PoCG.R were related to modified Japanese Orthopedic Association score in patients with CSM.

Conclusions

The associations between CSA and WMA at C2/3 and GMV in SMA.L and MCG.R suggest a concordant change pattern and adaptive mechanisms for neuronal plasticity underlying remote neurodegeneration in early CSM. The atrophy of CSA at C2/3 and GMV loss in PoCG.R can serve as potential neuroimaging biomarkers of early structural changes within spinal cord and brain preceding marked clinical disabilities in patients with CSM.

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Fig. 1: Significant changes in rostral spinal morphometrics occur in patients with CSM compared to HCs.
Fig. 2: Significant changes in brain GMV occur in patients with CSM compared to HCs.
Fig. 3: The correlation analysis results.

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Data availability

The data that support the findings of this study are available from the corresponding author, Yunfei Zha, on reasonable request.

Code availability

The codes that ran on the SCT and R statistical and computing software were available from the corresponding author, Yunfei Zha, on reasonable request.

References

  1. Yarbrough CK, Murphy RK, Ray WZ, Stewart TJ. The natural history and clinical presentation of cervical spondylotic myelopathy. Adv Orthop. 2012;2012:480643.

    Article  PubMed  Google Scholar 

  2. Matz PG, Anderson PA, Holly LT, Groff MW, Heary RF, Kaiser MG, et al. The natural history of cervical spondylotic myelopathy. J Neurosurg Spine. 2009;11:104–11.

    Article  PubMed  Google Scholar 

  3. Grabher P, Mohammadi S, Trachsler A, Friedl S, David G, Sutter R, et al. Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy. Sci Rep. 2016;6:24636.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  4. Seif M, Gandini Wheeler-Kingshott CA, Cohen-Adad J, Flanders AE, Freund P. Guidelines for the conduct of clinical trials in spinal cord injury: neuroimaging biomarkers. Spinal Cord. 2019;57:717–28.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Dong Y, Holly LT, Albistegui-Dubois R, Yan X, Marehbian J, Newton JM, et al. Compensatory cerebral adaptations before and evolving changes after surgical decompression in cervical spondylotic myelopathy. J Neurosurg Spine. 2008;9:538–51.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Duggal N, Rabin D, Bartha R, Barry RL, Gati JS, Kowalczyk I, et al. Brain reorganization in patients with spinal cord compression evaluated using fMRI. Neurology. 2010;74:1048–54.

    Article  CAS  PubMed  Google Scholar 

  7. Grabher P, Mohammadi S, David G, Freund P. Neurodegeneration in the spinal ventral horn prior to motor impairment in cervical spondylotic myelopathy. J Neurotrauma. 2017;34:2329–34.

    Article  PubMed  Google Scholar 

  8. Holly LT, Dong Y, Albistegui-DuBois R, Marehbian J, Dobkin B. Cortical reorganization in patients with cervical spondylotic myelopathy. J Neurosurg Spine. 2007;6:544–51.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhou F, Gong H, Liu X, Wu L, Luk KD, Hu Y. Increased low-frequency oscillation amplitude of sensorimotor cortex associated with the severity of structural impairment in cervical myelopathy. PloS one. 2014;9:e104442.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  10. Freund P, Weiskopf N, Ashburner J, Wolf K, Sutter R, Altmann DR, et al. MRI investigation of the sensorimotor cortex and the corticospinal tract after acute spinal cord injury: a prospective longitudinal study. Lancet Neurol. 2013;12:873–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Kang Y, Lee JW, Koh YH, Hur S, Kim SJ, Chai JW, et al. New MRI grading system for the cervical canal stenosis. Am J Roentgenol. 2011;197:W134–40.

    Article  Google Scholar 

  12. Yonenobu K, Abumi K, Nagata K, Taketomi E, Ueyama K. Interobserver and intraobserver reliability of the japanese orthopaedic association scoring system for evaluation of cervical compression myelopathy. Spine (Philos Pa 1976). 2001;26:1890–4.

    Article  CAS  Google Scholar 

  13. Nurick S. The pathogenesis of the spinal cord disorder associated with cervical spondylosis. Brain. 1972;95:87–100.

    Article  CAS  PubMed  Google Scholar 

  14. Fehlings MG, Wilson JR, Kopjar B, Yoon ST, Arnold PM, Massicotte EM, et al. Efficacy and safety of surgical decompression in patients with cervical spondylotic myelopathy: results of the AOSpine North America prospective multi-center study. J Bone Jt Surg Am. 2013;95:1651–8.

    Article  Google Scholar 

  15. De Leener B, Lévy S, Dupont SM, Fonov VS, Stikov N, Louis Collins D, et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. NeuroImage. 2017;145:24–43.

    Article  PubMed  Google Scholar 

  16. Gros C, De Leener B, Badji A, Maranzano J, Eden D, Dupont SM, et al. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. NeuroImage. 2019;184:901–15.

    Article  PubMed  Google Scholar 

  17. Ashburner J. A fast diffeomorphic image registration algorithm. NeuroImage. 2007;38:95–113.

    Article  PubMed  Google Scholar 

  18. Ashburner J, Friston KJ. Unified segmentation. NeuroImage. 2005;26:839–51.

    Article  PubMed  Google Scholar 

  19. Huber E, David G, Thompson AJ, Weiskopf N, Mohammadi S, Freund P. Dorsal and ventral horn atrophy is associated with clinical outcome after spinal cord injury. Neurology. 2018;90:e1510–e22.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Hou JM, Yan RB, Xiang ZM, Zhang H, Liu J, Wu YT, et al. Brain sensorimotor system atrophy during the early stage of spinal cord injury in humans. Neuroscience. 2014;266:208–15.

    Article  CAS  PubMed  Google Scholar 

  21. Liu M, Tan Y, Zhang C, He L. Cortical anatomy plasticity in cases of cervical spondylotic myelopathy associated with decompression surgery: A strobe-compliant study of structural magnetic resonance imaging. Med (Baltim). 2021;100:e24190.

    Article  Google Scholar 

  22. Wang L, Yu B, Li Q, Qi F, Guo Q. Sensorimotor cortex atrophy in patients with cervical spondylotic myelopathy. Neuroreport. 2018;29:826–32.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Zhou Y, Shi J. Brain structural and functional dissociated patterns in degenerative cervical myelopathy: a case-controlled retrospective resting-state fMRI study. Front Neurol. 2022;13:895348.

    Article  PubMed  PubMed Central  Google Scholar 

  24. JĂĽtten K, Mainz V, Schubert GA, Fabian Gohmann R, Schmidt T, Ridwan H, et al. Cortical volume reductions as a sign of secondary cerebral and cerebellar impairment in patients with degenerative cervical myelopathy. Neuroimage Clin. 2021;30:102624.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Grabher P, Callaghan MF, Ashburner J, Weiskopf N, Thompson AJ, Curt A, et al. Tracking sensory system atrophy and outcome prediction in spinal cord injury. Ann Neurol. 2015;78:751–61.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Dum RP, Strick PL. The origin of corticospinal projections from the premotor areas in the frontal lobe. J Neurosci. 1991;11:667–89.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Wrigley PJ, Gustin SM, Macey PM, Nash PG, Gandevia SC, Macefield VG, et al. Anatomical changes in human motor cortex and motor pathways following complete thoracic spinal cord injury. Cereb Cortex. 2009;19:224–32.

    Article  CAS  PubMed  Google Scholar 

  28. Hrabálek L, Hluštík P, Hok P, Wanek T, Otruba P, Cecháková E, et al. [Effects of spinal cord decompression in patients with cervical spondylotic myelopathy oncortical brain activations]. Rozhl Chir. 2014;93:530–5.

    PubMed  Google Scholar 

  29. Vogt BA. Cingulate cortex in the three limbic subsystems. Handb Clin Neurol. 2019;166:39–51.

    Article  PubMed  Google Scholar 

  30. Maier MA, Armand J, Kirkwood PA, Yang HW, Davis JN, Lemon RN. Differences in the corticospinal projection from primary motor cortex and supplementary motor area to macaque upper limb motoneurons: an anatomical and electrophysiological study. Cereb Cortex. 2002;12:281–96.

    Article  CAS  PubMed  Google Scholar 

  31. Boudrias MH, Belhaj-Saïf A, Park MC, Cheney PD. Contrasting properties of motor output from the supplementary motor area and primary motor cortex in rhesus macaques. Cereb Cortex. 2006;16:632–8.

    Article  PubMed  Google Scholar 

  32. He SQ, Dum RP, Strick PL. Topographic organization of corticospinal projections from the frontal lobe: motor areas on the medial surface of the hemisphere. J Neurosci. 1995;15:3284–306.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Ziegler G, Grabher P, Thompson A, Altmann D, Hupp M, Ashburner J, et al. Progressive neurodegeneration following spinal cord injury: Implications for clinical trials. Neurology. 2018;90:e1257–e66.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Rocca MA, Agosta F, Martinelli V, Falini A, Comi G, Filippi M. The level of spinal cord involvement influences the pattern of movement-associated cortical recruitment in patients with isolated myelitis. NeuroImage. 2006;30:879–84.

    Article  PubMed  Google Scholar 

  35. Chen Z, Wang Q, Liang M, Zhao R, Zhu J, Xiong W, et al. Visual cortex neural activity alteration in cervical spondylotic myelopathy patients: a resting-state fMRI study. Neuroradiology. 2018;60:921–32.

    Article  PubMed  Google Scholar 

  36. Chen Z, Zhao R, Wang Q, Yu C, Li F, Liang M, et al. Functional connectivity changes of the visual cortex in the cervical spondylotic myelopathy patients: a resting-state fMRI study. Spine (Philos Pa 1976). 2020;45:E272–e9.

    Article  Google Scholar 

  37. Peng X, Tan Y, He L, Ou Y. Alterations of functional connectivity between thalamus and cortex before and after decompression in cervical spondylotic myelopathy patients: a resting-state functional MRI study. Neuroreport. 2020;31:365–71.

    Article  PubMed  Google Scholar 

  38. Sawada M, Nakae T, Munemitsu T, Hojo M. Functional connectivity analysis and prediction of pain relief in association with spinal decompression surgery. World Neurosurg. 2020;139:e316–e24.

    Article  PubMed  Google Scholar 

  39. Wang, C, Ellingson, BM, Islam, S, Laiwalla, A, Salamon, N, Holly, LT Supraspinal functional and structural plasticity in patients undergoing surgery for degenerative cervical myelopathy. J Neurosurg Spine. 2021;35:1-9.

  40. Zhao R, Su Q, Chen Z, Sun H, Liang M, Xue Y. Neural correlates of cognitive dysfunctions in cervical spondylotic myelopathy patients: a resting-state fMRI study. Front Neurol. 2020;11:596795.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Zhou F, Wu L, Liu X, Gong H, Luk KD, Hu Y. Characterizing thalamocortical disturbances in cervical spondylotic myelopathy: revealed by functional connectivity under two slow frequency bands. PloS One. 2015;10:e0125913.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Zhou FQ, Tan YM, Wu L, Zhuang Y, He LC, Gong HH. Intrinsic functional plasticity of the sensory-motor network in patients with cervical spondylotic myelopathy. Sci Rep. 2015;5:9975.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  43. Martin AR, De Leener B, Cohen-Adad J, Cadotte DW, Kalsi-Ryan S, Lange SF, et al. A novel mri biomarker of spinal cord white matter injury: T2*-weighted white matter to gray matter signal intensity ratio. Am J Neuroradiol. 2017;38:1266–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to thank all participants for their time and effort. We are deeply grateful to programmer Wei Zhao from ShuKun Technology for her help with installing the Spinal Cord Toolbox software.

Author information

Authors and Affiliations

Authors

Contributions

CK: acquired and analyzed the data, interpreted the results, wrote the manuscript. YZ: designed the study, performed the clinical evaluation of individuals, revised the manuscript. All authors read and approved the submitted manuscript.

Corresponding author

Correspondence to Yunfei Zha.

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The authors declare no competing interests.

Ethical approval

The study was approved by the ethics review board of Renmin Hospital of Wuhan University and was conducted in accordance with the Declaration of Helsinki. We certify that all applicable institutional and governmental regulations concerning the ethical use of human volunteers were followed during the course of this research.

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Kuang, C., Zha, Y. Neurodegeneration within the rostral spinal cord is associated with brain gray matter volume atrophy in the early stage of cervical spondylotic myelopathy. Spinal Cord (2024). https://doi.org/10.1038/s41393-024-00971-0

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