摘要 Non-invasive neuroimaging plays a crucial role in the assessment of the human spinal cord, but it is quite challenging. Magnetic resonance imaging (MRI) is an important modality to obtain both high-resolution anatomical and functional information concerning the spinal cord. Besides conventional MRI, advanced MRI techniques could provide novel information about the microstructure and neural function of the spinal cord, thereby enhancing the understanding of spinal cord neurology and pathology of various spinal disorders.
Abstract: Non-invasive neuroimaging plays a crucial role in the assessment of the human spinal cord, but it is quite challenging. Magnetic resonance imaging (MRI) is an important modality to obtain both high-resolution anatomical and functional information concerning the spinal cord. Besides conventional MRI, advanced MRI techniques could provide novel information about the microstructure and neural function of the spinal cord, thereby enhancing the understanding of spinal cord neurology and pathology of various spinal disorders.
Yong Hu. Neuroimaging techniques and their application in the spinal cord[J]. 临床转化神经科学, 2016, 2(4): 211-214.
Yong Hu. Neuroimaging techniques and their application in the spinal cord. Translational Neuroscience and Clinics, 2016, 2(4): 211-214.
20170308095407 Figure 1 a-e A combination of magnetic resonance imaging (MRI) techniques. Diffusion tensor imaging (DTI) and corresponding T2-weighted structural measurements provided sufficient structural and functional information in a patient with cervical myelopathy. T2-weighted images showed a morphometric change with stenosis. DTI showed decreased fractional anisotropy (FA) and increased radial diffusivities (RD), indicating demyelination in the white matter. In functional MRI, the blood oxygen level-dependent signal change in a patient with cervical myelopathy was significantly higher than that in a healthy subject (*p < 0.05 **p < 0.01).
[1]
He B, Coleman T, Genin GM, Glover G, Hu X, Johnson N, Liu T, Makeig S, Sajda P, Ye K. Grand challenges in mapping the human brain: NSF workshop report. IEEE Trans Biomed Eng 2013, 60(11): 2983-2992.
[2]
Uluda K, Roebroeck A. General overview on the merits of multimodal neuroimaging data fusion. NeuroImage 2014, 102(Pt 1): 3-10.
[3]
Stroman PW, Wheeler-Kingshott C, Bacon M, Schwab JM, Bosma R, Brooks J, Cadotte D, Carlstedt T, Ciccarelli O, Cohen-Adad J, et al. The current state-of-the-art of spinal cord imaging: Methods. NeuroImage 2014, 84: 1070-1081.
[4]
Martin AR, Aleksanderek I, Cohen-Adad J, Tarmohamed Z, Tetreault L, Smith N, Cadotte DW, Crawley A, Ginsberg H, Mikulis DJ, et al. Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI. NeuroImage Clin 2016, 10: 192-238.
[5]
Wheeler-Kingshott CA, Stroman PW, Schwab JM, Bacon M, Bosma R, Brooks J, Cadotte DW, Carlstedt T, Ciccarelli O, Cohen-Adad J, et al. The current state-of-the-art of spinal cord imaging: Applications. NeuroImage 2014, 84: 1082-1093.
[6]
Liu XJ, Zhou FQ, Li X, Qian WS, Cui JL, Zhou IY, Luk KDK, Wu EX, Hu Y. Organization of the intrinsic functional network in the cervical spinal cord: A resting state functional MRI study. Neuroscience 2016, 336: 30-38.
[7]
Wang SQ, Li X, Cui JL, Li HX, Luk KDK, Hu Y. Prediction of myelopathic level in cervical spondylotic myelopathy using diffusion tensor imaging. J Magn Reson Imaging 2015, 41(6): 1682-1688.
[8]
Kowalczyk I, Duggal N, Bartha R. Proton magnetic resonance spectroscopy of the motor cortex in cervical myelopathy. Brain 2012, 135(2): 461-468.
[9]
Laule C, Vavasour IM, Zhao Y, Traboulsee AL, Oger J, Vavasour JD, Mackay AL, Li DKB. Two-year study of cervical cord volume and myelin water in primary progressive multiple sclerosis. Mult Scler 2010, 16(6): 670-677.
[10]
Cohen-Adad J, El Mendili MM, Lehéricy S, Pradat PF, Blancho S, Rossignol S, Benali H. Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI. NeuroImage 2011, 55(3): 1024-1033.
2016, Vol. 2 
