AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (993 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Research | Open Access

A combination of functional magnetic resonance imaging and diffusion tensor image to explore structure-function relationship in healthy and myelopathic spinal cord

Jiao-Long Cui1Guangsheng Li2Kin-Cheung Mak1,3Keith Dip-Kei Luk1Yong Hu1,2,3( )
Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, People’s Republic of China
Department of Orthopaedics, Spinal Division, Affiliated Hospital of Guangdong Medical University, Guangdong,
Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, The University of Hong Kong-Shenzhen Hospital, Shenzhen, People’s Republic of China
Show Author Information

Abstract

Background:

Cervical spondylotic myelopathy (CSM) is a degenerative disorder that can chronically damage the spinal cord. The aim of this study was to investigate the column-specific degeneration in the cervical cord with CSM and explore the structure-function relationship by diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI).

Patients and methods:

DTI and blood-oxygen-level-dependent (BOLD) fMRI were obtained from 14 healthy controls and six patients with CSM at 3 T. The fractional anisotropy (FA) value of anterior, lateral, and posterior column and the BOLD signal in response to somatosensory stimulation were compared among three groups: the average value of levels from C3 to C8 in the control and CSM groups and the value at maximal compression site in the CSM (CSM-mc) group. The correlation between FA value and BOLD signal was used to assess the structure-function relationship.

Results:

The FA value in CSM-mc was lower than control-ave in all the columns (P<0.01) and lower than CSM-ave in the lateral and posterior column (P<0.05). The BOLD signal in CSM was significantly higher than that in the control (P<0.001). In the posterior column, a significant correlation between BOLD signal and FA value was found (P<0.05).

Conclusion:

This study demonstrated that the microstructural damage in CSM was correlated with functional changes. DTI combined with fMRI reveals the relationship between structural damage and neural activity, which might provide a promising method to reveal the underlying pathomechanism of CSM.

References

1.
Baptiste DC, Fehlings MG. Pathophysiology of cervical myelopathy. Spine J. 2006;6(6 suppl):190S-197S.
2.
Baron EM, Young WF. Cervical spondylotic myelopathy: a brief review of its pathophysiology, clinical course, and diagnosis. Neurosurgery. 2007;60(1 suppl 1):S35-S41.
3.
Mamata H, Jolesz FA, Maier SE. Apparent diffusion coefficient and fractional anisotropy in spinal cord: age and cervical spondylosis-related changes. J Magn Reson Imaging. 2005;22(1):38-43.
4.
Voss HU, Watts R, Ulug AM, Ballon D. Fiber tracking in the cervical spine and inferior brain regions with reversed gradient diffusion tensor imaging. Magn Reson Imaging. 2006;24(3):231-239.
5.
Ellingson BM, Salamon N, Grinstead JW, Holly LT. Diffusion tensor imaging predicts functional impairment in mild-to-moderate cervical spondylotic myelopathy. Spine J. 2014;14(11):2589-2597.
6.
Toktas ZO, Tanrikulu B, Koban O, Kilic T, Konya D. Diffusion tensor imaging of cervical spinal cord: a quantitative diagnostic tool in cervical spondylotic myelopathy. J Craniovertebr Junction Spine. 2016;7(1):26-30.
7.
Thurnher MM, Law M. Diffusion-weighted imaging, diffusion-tensor imaging, and fiber tractography of the spinal cord. Magn Reson Imaging Clin N Am. 2009;17(2):225-244.
8.
Basser PJ, Jones DK. Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review. NMR Biomed. 2002;15(7-8):456-467.
9.
DeBoy CA, Zhang J, Dike S, et al. High resolution diffusion tensor imaging of axonal damage in focal inflammatory and demyelinating lesions in rat spinal cord. Brain. 2007;130(pt 8):2199-2210.
10.
Giorgio A, Palace J, Johansen-Berg H, et al. Relationships of brain white matter microstructure with clinical and MR measures in relapsing-remitting multiple sclerosis. J Magn Reson Imaging. 2010;31(2):309-316.
11.
Song SK, Sun SW, Ramsbottom MJ, Chang C, Russell J, Cross AH. Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage. 2002;17(3):1429-1436.
12.
Yoshizawa T, Nose T, Moore GJ, Sillerud LO. Functional magnetic resonance imaging of motor activation in the human cervical spinal cord. Neuroimage. 1996;4(3 pt 1):174-182.
13.
Madi S, Flanders AE, Vinitski S, Herbison GJ, Nissanov J. Functional MR imaging of the human cervical spinal cord. AJNR Am J Neuroradiol. 2001;22(9):1768-1774.
14.
Govers N, Beghin J, Van Goethem JW, et al. Functional MRI of the cervical spinal cord on 1.5 T with fingertapping: to what extent is it feasible? Neuroradiology. 2007;49(1):73-81.
15.
Ng MC, Wu EX, Lau HF, Hu Y, Lam EY, Luk KD. Cervical spinal cord BOLD fMRI study: modulation of functional activation by dexterity of dominant and non-dominant hands. Neuroimage. 2008;39(2):825-831.
16.
Dietz V, Macauda G, Schrafl-Altermatt M, Wirz M, Kloter E, Michels L. Neural coupling of cooperative hand movements: a reflex and fMRI study. Cereb Cortex. 2015;25(4):948-958.
17.
Backes WH, Mess WH, Wilmink JT. Functional MR imaging of the cervical spinal cord by use of median nerve stimulation and fist clenching. AJNR Am J Neuroradiol. 2001;22(10):1854-1859.
18.
Stroman PW, Ryner LN. Functional MRI of motor and sensory activation in the human spinal cord. Magn Reson Imaging. 2001;19(1):27-32.
19.
Stracke CP, Pettersson LG, Schoth F, Moller-Hartmann W, Krings T. Interneuronal systems of the cervical spinal cord assessed with BOLD imaging at 1.5 T. Neuroradiology. 2005;47(2):127-133.
20.
Summers PE, Ferraro D, Duzzi D, Lui F, Iannetti GD, Porro CA. A quantitative comparison of BOLD fMRI responses to noxious and innocuous stimuli in the human spinal cord. Neuroimage. 2010;50(4):1408-1415.
21.
Stroman PW, Tomanek B, Krause V, Frankenstein UN, Malisza KL. Mapping of neuronal function in the healthy and injured human spinal cord with spinal fMRI. Neuroimage. 2002;17(4):1854-1860.
22.
Persson J, Nyberg L, Lind J, et al. Structure-function correlates of cognitive decline in aging. Cereb Cortex. 2006;16(7):907-915.
23.
Palmer HS, Garzon B, Xu J, Berntsen EM, Skandsen T, Haberg AK. Reduced fractional anisotropy does not change the shape of the hemodynamic response in survivors of severe traumatic brain injury. J Neurotrauma. 2010;27(5):853-862.
24.
Kim DS, Kim M. Combining functional and diffusion tensor MRI. Ann N Y Acad Sci. 2005;1064:1-15.
25.
Javad F, Warren JD, Micallef C, et al. Auditory tracts identified with combined fMRI and diffusion tractography. Neuroimage. 2014;84:562-574.
26.
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 (Phila Pa 1976). 2001;26(17):1890-1894; discussion 1895.
27.
Cui JL, Wen CY, Hu Y, Li TH, Luk KD. Entropy-based analysis for diffusion anisotropy mapping of healthy and myelopathic spinal cord. Neuroimage. 2011;54(3):2125-2131.
28.
Cui JL, Wen CY, Hu Y, Mak KC, Mak KH, Luk KD. Orientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord. Neuroimage. 2011;58(4):1028-1033.
29.
Summers P, Staempfli P, Jaermann T, Kwiecinski S, Kollias S. A preliminary study of the effects of trigger timing on diffusion tensor imaging of the human spinal cord. AJNR Am J Neuroradiol. 2006;27(9):1952-1961.
30.
Fujiwara K, Yonenobu K, Hiroshima K, Ebara S, Yamashita K, Ono K. Morphometry of the cervical spinal cord and its relation to pathology in cases with compression myelopathy. Spine (Phila Pa 1976). 1988;13(11):1212-1216.
31.
Jenkinson M, Bannister P, Brady M, Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002;17(2):825-841.
32.
Maieron M, Iannetti GD, Bodurka J, Tracey I, Bandettini PA, Porro CA. Functional responses in the human spinal cord during willed motor actions: evidence for side- and rate-dependent activity. J Neurosci. 2007;27(15):4182-4190.
33.
Giulietti G, Giove F, Garreffa G, Colonnese C, Mangia S, Maraviglia B. Characterization of the functional response in the human spinal cord: impulse-response function and linearity. Neuroimage. 2008;42(2):626-634.
34.
Giove F, Garreffa G, Giulietti G, Mangia S, Colonnese C, Maraviglia B. Issues about the fMRI of the human spinal cord. Magn Reson Imaging. 2004;22(10):1505-1516.
35.
Agosta F, Valsasina P, Caputo D, Stroman PW, Filippi M. Tactile-associated recruitment of the cervical cord is altered in patients with multiple sclerosis. Neuroimage. 2008;39(4):1542-1548.
36.
Kornelsen J, Stroman PW. Detection of the neuronal activity occurring caudal to the site of spinal cord injury that is elicited during lower limb movement tasks. Spinal Cord. 2007;45(7):485-490.
37.
Mukherjee P, Berman JI, Chung SW, Hess CP, Henry RG. Diffusion tensor MR imaging and fiber tractography: theoretic underpinnings. AJNR Am J Neuroradiol. 2008;29(4):632-641.
38.
Xiangshui M, Xiangjun C, Xiaoming Z, et al. 3 T magnetic resonance diffusion tensor imaging and fibre tracking in cervical myelopathy. Clin Radiol. 2010;65(6):465-473.
39.
Lindberg PG, Feydy A, Maier MA. White matter organization in cervical spinal cord relates differently to age and control of grip force in healthy subjects. J Neurosci. 2010;30(11):4102-4109.
40.
Wheeler-Kingshott CA, Hickman SJ, Parker GJ, et al. Investigating cervical spinal cord structure using axial diffusion tensor imaging. Neuroimage. 2002;16(1):93-102.
41.
Kara B, Celik A, Karadereler S, et al. The role of DTI in early detection of cervical spondylotic myelopathy: a preliminary study with 3-T MRI. Neuroradiology. 2011;53(8):609-616.
42.
Lee JW, Kim JH, Park JB, et al. Diffusion tensor imaging and fiber tractography in cervical compressive myelopathy: preliminary results. Skeletal Radiol. 2011;40(12):1543-1551.
43.
Budde MD, Kim JH, Liang HF, et al. Toward accurate diagnosis of white matter pathology using diffusion tensor imaging. Magn Reson Med. 2007;57(4):688-695.
44.
Hesseltine SM, Law M, Lopez S, Babb J, Johnson G. Diffusion tensor imaging evaluation of the cervical spinal cord in spondylosis: evaluation of changes in major and minor eigenvalues. Proceeding of the ISMRM. Seattle, WA, USA; 2006.
45.
Agosta F, Valsasina P, Rocca MA, et al. Evidence for enhanced functional activity of cervical cord in relapsing multiple sclerosis. Magn Reson Med. 2008;59(5):1035-1042.
46.
Schaechter JD, Perdue KL, Wang R. Structural damage to the corticospinal tract correlates with bilateral sensorimotor cortex reorganization in stroke patients. Neuroimage. 2008;39(3):1370-1382.
47.
Sydekum E, Baltes C, Ghosh A, Mueggler T, Schwab ME, Rudin M. Functional reorganization in rat somatosensory cortex assessed by fMRI: elastic image registration based on structural landmarks in fMRI images and application to spinal cord injured rats. Neuroimage. 2009;44(4):1345-1354.
48.
Holly LT, Dong Y, Albistegui-DuBois R, Marehbian J, Dobkin B. Cortical reorganization in patients with cervical spondylotic myelopathy. J Neurosurg Spine. 2007;6(6):544-551.
49.
Maier SE, Mamata H. Diffusion tensor imaging of the spinal cord. Ann N Y Acad Sci. 2005;1064:50-60.
Journal of Neurorestoratology
Pages 69-78
Cite this article:
Cui J-L, Li G, Mak K-C, et al. A combination of functional magnetic resonance imaging and diffusion tensor image to explore structure-function relationship in healthy and myelopathic spinal cord. Journal of Neurorestoratology, 2016, 4(1): 69-78. https://doi.org/10.2147/JN.S116450

744

Views

24

Downloads

3

Crossref

3

Web of Science

0

Scopus

Altmetrics

Published: 06 October 2016
© 2016 The Author(s).

© 2016 Cui et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms. php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).

Return