Share:
Share this content in WeChat
X
Original Article
Brain gray matter volume and functional brain network in patients with lower back pain: a MRI study
JIANG Jian  DU Wei  CUI Yunan  JIANG Yuhan  LIU Ailian  Miao Yanwei 

Cite this article as: Jiang J, Du W, Cui YN, et al. Brain gray matter volume and functional brain network in patients with lower back pain: a MRI study[J]. Chin J Magn Reson Imaging, 2021, 12(9): 45-48, 60. DOI:10.12015/issn.1674-8034.2021.09.010.


[Abstract] Objective To investigate the abnormalities of brain gray matter (GM) and the functional network changes in patients with lower back pain (LBP).Methods andMethods FMRI was performed on 20 individuals with LBP and 20 age and gender-matched healthy controls (HC). The GM volumes of the two groups were compared by voxel-based morphological (VBM) analysis. In order to reflect the network efficiency, network-based statistics were performed to explore the differences between the brain networks of patients with LBP and those with HC.Results In comparison of HC, patients with LBP showed reduced GM volumes in several brain cortical areas (P<0.001). The brain networks in LBP showed a significantly longer characteristic path length as well as a lower clustering coefficient (P<0.001), global efficiency (P=0.001) and local efficiency (P<0.001) compared with HC, which led to unstable and inefficient brain networks. In addition, LBP patients showed significantly decreased functional connectivity in several brain areas (P<0.001).Conclusions LBP will result in the volume reduction of GM and the damage of the topological properties of the functional brain network. Our results provide a further insight into the neural mechanisms behind LBP.
[Keywords] brain functional network;voxel-based morphological;lower back pain;functional magnetic resonance imaging, brain gray matter

JIANG Jian   DU Wei   CUI Yunan   JIANG Yuhan   LIU Ailian   Miao Yanwei*  

Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116000, China

Miao YW, E-mail: ywmiao716@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS The Education Department of Liaoning Province Foundation (No. LZ2019047).
Received  2021-04-23
Accepted  2021-06-03
DOI: 10.12015/issn.1674-8034.2021.09.010
Cite this article as: Jiang J, Du W, Cui YN, et al. Brain gray matter volume and functional brain network in patients with lower back pain: a MRI study[J]. Chin J Magn Reson Imaging, 2021, 12(9): 45-48, 60. DOI:10.12015/issn.1674-8034.2021.09.010.

[1]
Bukhari Q, Schroeter A, Cole D, et al. Resting state fMRI in mice reveals anesthesia specific signatures of brain functional networks and their interactions[J]. Front Neural Circuits, 2017, 11: 5. DOI: 10.3389/fncir.2017.00005.
[2]
Hart B, Cribben I, Fiecas M. A longitudinal model for functional connectivity networks using resting-state fMRI[J]. Neuroimage, 2018, 178: 687-701. DOI: 10.1016/j.neuroimage.2018.05.071.
[3]
Apkarian A, Bushnell M, Treede R, et al. Human brain mechanisms of pain perception and regulation in health and disease[J]. Eur J Pain, 2005, 9(4): 463-484. DOI: 10.1016/j.ejpain.2004.11.001.
[4]
Wang N, Zhang Y, Wang J, et al. Current understanding of the involvement of the insular cortex in neuropathic pain: a narrative review[J]. Int J Mol Sci, 2021, 22(5): 2648. DOI: 10.3390/ijms22052648.
[5]
Gao G, Wang C, Zhang X, et al. Quantitative analysis of diffusion-weighted magnetic resonance images: differentiation between prostate cancer and normal tissue based on a computer-aided diagnosis system[J]. Sci China Life Sci, 2017, 60(1): 37-43. DOI: 10.1007/s11427-016-0389-9.
[6]
Jiang T, Xie L, Lou X, et al. T2 relaxation time measurements in the brains of scalded rats[J]. Sci China Life Sci, 2017, 60(1): 5-10. DOI: 10.1007/s11427-016-0382-7.
[7]
Li F, Wang X. Relationship between Framingham risk score and subclinical atherosclerosis in carotid plaques: an in vivo study using multi-contrast MRI[J]. Sci China Life Sci, 2017, 60(1): 23-27. DOI: 10.1007/s11427-016-0385-5.
[8]
Ng S, Urquhart D, Fitzgerald P, et al. The relationship between structural and functional brain changes and altered emotion and cognition in chronic low back pain brain changes: a systematic review of MRI and fMRI studies[J]. Clin J Pain, 2018, 34(3): 237-261. DOI: 10.1097/ajp.0000000000000534.
[9]
Malfliet A, Coppieters I, Van Wilgen P, et al. Brain changes associated with cognitive and emotional factors in chronic pain: a systematic review[J]. Eur J Pain, 2017, 21(5): 769-786. DOI: 10.1002/ejp.1003.
[10]
Moisset X, Bouhassira D, Denis D, et al. Anatomical connections between brain areas activated during rectal distension in healthy volunteers: a visceral pain network[J]. Eur J Pain, 2010, 14(2): 142-148. DOI: 10.1016/j.ejpain.2009.04.011.
[11]
Mcilwrath S, Starr M, High A, et al. Effect of acetyl-L-carnitine on hypersensitivity in acute recurrent caerulein-induced pancreatitis and microglial activation along the brain's pain circuitry[J]. World J Gastroenterol, 2021, 27(9): 794-814. DOI: 10.3748/wjg.v27.i9.794.
[12]
Sebba A. Pain: A Review of Interleukin-6 and Its Roles in the Pain of Rheumatoid Arthritis[J]. Open Access Rheumatol, 2021, 13: 31-43. DOI: 10.2147/oarrr.S291388.
[13]
Zeng F, Zhang Q, Liu Y, et al. AMPAkines potentiate the corticostriatal pathway to reduce acute and chronic pain[J]. Mol Brain, 2021, 14(1): 45. DOI: 10.1186/s13041-021-00757-y.
[14]
Zou R, Li L, Zhang L, et al. Predicting individual pain thresholds from morphological connectivity using structural MRI: a multivariate analysis study[J]. Front Neurosci, 2021, 15: 615944. DOI: 10.3389/fnins.2021.615944.
[15]
Asan L, Falfán-Melgoza C, Beretta C, et al. Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy[J]. Sci Rep, 2021, 11(1): 4234. DOI: 10.1038/s41598-021-83491-8.
[16]
Metz A, Yau H, Centeno M, et al. Morphological and functional reorganization of rat medial prefrontal cortex in neuropathic pain[J]. Proc Natl Acad Sci U S A, 2009, 106(7): 2423-2428. DOI: 10.1073/pnas.0809897106.
[17]
Kregel J, Meeus M, Malfliet A, et al. Structural and functional brain abnormalities in chronic low back pain: a systematic review[J]. Semin Arthritis Rheum, 2015, 45(2): 229-237. DOI: 10.1016/j.semarthrit.2015.05.002.
[18]
Liu X, Zhu M, Ju Y, et al. Autophagy dysfunction in neuropathic pain[J]. Neuropeptides, 2019, 75: 41-48. DOI: 10.1016/j.npep.2019.03.005.
[19]
Zhang S, Wu W, Yang J, et al. Abnormal spontaneous brain activity in acute low-back pain revealed by resting-state functional MRI[J]. Am J Phys Med Rehabil, 2017, 96(4): 253-259. DOI: 10.1097/phm.0000000000000597.
[20]
Peihong M, Tao Y, Zhaoxuan H, et al. Alterations of white matter network properties in patients with functional constipation[J]. Front Neurol, 2021, 12: 627130. DOI: 10.3389/fneur.2021.627130.
[21]
Zhang Y, Liu J, Li L, et al. A study on small-world brain functional networks altered by postherpetic neuralgia[J]. Magn Reson Imaging, 2014, 32(4): 359-365. DOI: 10.1016/j.mri.2013.12.016.
[22]
Ginestet C, Simmons A. Statistical parametric network analysis of functional connectivity dynamics during a working memory task[J]. Neuroimage, 2011, 55(2): 688-704. DOI: 10.1016/j.neuroimage.2010.11.030.
[23]
Geha P, Baliki M, Chialvo D, et al. Brain activity for spontaneous pain of postherpetic neuralgia and its modulation by lidocaine patch therapy[J]. Pain, 2007, 128(1-2): 88-100. DOI: 10.1016/j.pain.2006.09.014.
[24]
Tatu K, Costa T, Nani A, et al. How do morphological alterations caused by chronic pain distribute across the brain? A meta-analytic co-alteration study[J]. Neuroimage Clin, 2018, 18: 15-30. DOI: 10.1016/j.nicl.2017.12.029.
[25]
Li H, Li X, Feng Y, et al. Deficits in ascending and descending pain modulation pathways in patients with postherpetic neuralgia[J]. Neuroimage, 2020, 221: 117186. DOI: 10.1016/j.neuroimage.2020.117186.

PREV The effects of repetitive transcranial magnetic stimulation on the left executive control network in heroin dependent individuals: a resting-state fMRI study
NEXT Evalution on the visualization of the extracranial branch of trigeminal nerve using the 3.0 T MR CE 3D-STIR TSE sequence
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn