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Original Article
Control study on multimode function magnetic resonance imaging of wistar rat epilepsy model and its relationship with histopathology
XING Guirong  NIU Guangming  QU Lin  XIE Shenghui  QIAO Pengfei 

Cite this article as: Xing GR, Niu GM, Qu L, et al. Control study on multimode function magnetic resonance imaging of wistar rat epilepsy model and its relationship with histopathology. Chin J Magn Reson Imaging, 2019, 10(10): 768-773. DOI:10.12015/issn.1674-8034.2019.10.010.


[Abstract] Objective: To analyze the relationship between multimode function magnetic resonance imaging (MRI) of Wistar rat epilepsy model and histopathology by comparative study.Materials and Methods: Wistar rats were divided into normal control group (n=30) and epilepsy model group (n=30). Epileptic model group established epilepsy model. Three males and three females were taken at 3 days, 1 week, 3 weeks, 5 weeks, and 8 weeks after the disease, and routine MRI, diffusion kurtosis imaging (DKI) and three-dimensional magnetization preparatory gradient echo (3D-MPRAGE) were performed. Multi-sequence brain scans, selecting bilateral symmetric regions of interest (ROI) in the gray matter (GM) and white matter (WM) regions, detecting anisotropy fraction (FA), mean diffusion coefficient (MD), and average diffusion kurtosis (MK). After the end of scan, the rat brain tissues were taken out to conduct pathological HE staining analysis. Rat brain tissue was taken for HE staining analysis to analyze the relationship between MRI parameters and pathological findings in rats.Results: With the extension of attack time, FA and MD in GM and WM areas of epilepsy model group were gradually decreased, while MK was gradually increased (P<0.05). At the same attack time points, FA and MD in GM and WM areas of epilepsy model group were lower than those of normal control group, while MK was higher than that in normal control group (P<0.05). The pathogenic time of rats in the epilepsy model group was negatively correlated with FA and MD in the brain, and positively correlated with MK (P<0.05). With the extension of attack time, the number of residual normal neurons in brain tissues of epilepsy model group were gradually decreased. At the same attack time points, number of residual normal neurons in epilepsy model group was lower than that in normal control group (P<0.05). At different time points after attack, number of residual normal neurons in epilepsy model group was positively correlated with FA and MD, while negatively correlated with MK (P<0.05).Conclusions: The test results of multimode function MRI in epilepsy model rats are significantly correlated with test results of brain histopathology. Msultimode function MRI can be applied as one of imaging methods for clinical diagnosis of epilepsy and assessment of disease severity.
[Keywords] epilepsy;rat;multimode function;magnetic resonance imaging;histopathology;animal experimentation

XING Guirong Department of MRI, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, China

NIU Guangming Department of MRI, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, China

QU Lin Center for Comprehensive Disease Control and Prevention of Inner Mongolia Autonomous Region, Inner Mongolia, Hohhot 010050, China

XIE Shenghui Department of MRI, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, China

QIAO Pengfei * Department of MRI, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, China

*Correspondence to: Qiao PF, E-mail: qpfff@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of Inner Mongolia No.2017MS08127
Received  2019-05-05
DOI: 10.12015/issn.1674-8034.2019.10.010
Cite this article as: Xing GR, Niu GM, Qu L, et al. Control study on multimode function magnetic resonance imaging of wistar rat epilepsy model and its relationship with histopathology. Chin J Magn Reson Imaging, 2019, 10(10): 768-773. DOI:10.12015/issn.1674-8034.2019.10.010.

[1]
Szaflarski JP, Devinsky O. Cannabinoids and epilepsy-Introduction. Epilepsy Behav, 2017, 70(Pt B): 277-280.
[2]
Jing XJ, Zuo HT, Yu FZ, et al. Diffusion kurtosis imaging for differentiating between the benign and malignant sinonasal lesions. J Magn Reson Imaging, 2017, 45(5): 1446-1454.
[3]
Ju GN, Lee JM, Kang HJ, et al. GRASE revisited: breath-hold three-dimensional (3D) magnetic resonance cholangiopancreatography using a Gradient and Spin Echo (GRASE) technique at 3 T. Eur Radiol, 2018, 28(9): 1-8.
[4]
Zhu G, Meng D, Chen Y, et al. Anterior nucleus of thalamus stimulation inhibited abnormal mossy fiber sprouting in kainic acid-induced epileptic rats. Brain Res, 2018, 1701(15): 28-35.
[5]
Lerner R, Post J, Loch S, et al. Targeting brain and peripheral plasticity of the lipidome in acute kainic acid-induced epileptic seizures in mice via quantitative mass spectrometry. Biochim Biophys Acta Mol Cell Biol Lipids, 2017, 1862(2): 255-267.
[6]
Pashakhanloo F, Herzka DA, Mori S, et al. Submillimeter diffusion tensor imaging and late gadolinium enhancement cardiovascular magnetic resonance of chronic myocardial infarction. J Cardiovasc Magn Reson, 2017, 19(1): 1-14.
[7]
Xiang J, Liu Y, Wang Y, et al. Frequency and spatial characteristics of high-frequency neuromagnetic signals in childhood epilepsy. Epileptic Disord, 2017, 11(2): 113-125.
[8]
Sarma MK, Keller MA, Macey PM, et al. White matter microstructure among perinatally HIV-infected youth: a diffusion tensor imaging study. J Neurovirol, 2019, 27(2): 1-11.
[9]
Pittau F, Baud MO, Jorge J, et al. MP2RAGE and susceptibility-weighted imaging in lesional epilepsy at 7 T. J Neuroimaging, 2018, 28(4): 365-369.
[10]
Chen S, Chen L, Huang H, et al. Relationship between resting state functional magnetic resonance imaging and memory function in mesial temporal lobe epilepsy. J Neurol Sci, 2017, 372(16): 117-125.
[11]
Dupont P, Paesschen WV, Huffel SV. Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data. Wiley Interdisciplinary Reviews Data Mining & Knowledge Discovery, 2017, 7(1): 1-15.
[12]
Zhang R, Ren Y, Liu C, et al. Temporal-spatial characteristics of phase-amplitude coupling in electrocorticogram for human temporal lobe epilepsy. Clin Neurophysiol, 2017, 128(9): 1707-1718.
[13]
Schmeiser B, Zentner J, Prinz M, et al. Extent of mossy fiber sprouting in patients with mesiotemporal lobe epilepsy correlates with neuronal cell loss and granule cell dispersion. Epilepsy Res, 2017, 129(3): 51-58.
[14]
Wang XL, Zhang J, Bu XH, et al. The value of diffusion-weighted imaging in histopathological study of cervical cancer. J Med Imaging, 2017, 27(8): 1530-1532.
[15]
Rong R, Xu Y. Relationship between cognitive function and MRI and DTI in patients with temporal lobe epilepsy. Nerve Injury and Functional Reconstruction, 2018, 13(5): 231-233.

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