Differential analysis of brain structure volume associated with Parkinson’s disease based on nuclear magnetic resonance T1 imaging

doi:10.16098/j.issn.0529-1356.2018.03.013

Abstract

Abstract:

Objective To investigate the significance of MRI volume measurement in the morphological changes caused by Parkinson’s disease (PD) and its application in early diagnosis. The volume changes of caudate nucleus, putamen, globus pallidus, midbrain, dorsal thalamus, hippocampus and amygdala in patients with Parkinson’s disease were analyzed based on 3.0T MRI. Methods 3.0T MRI scans were performed in 40 patients with early and intermediate Parkinson’s disease (PD group) and 32 age-matched normal control subjects (NC group), respectively. The total brain, bilateral caudate nucleus, bilateral putamen, bilateral globus pallidus, midbrain, bilateral dorsal thalamus, bilateral hippocampus and bilateral amygdala, were manually delineated by the software of ITK-snap, and their volumes were calculated and normalized respectively. SPSS was used to compare and analyze the differences between the PD group and the NC group. Results There was no difference in the volume of the whole brain between the PD and the NC (P>0.05). There were significant differences in the standardized volume of the bilateral putamen, bilateral globus pallidus, bilateral dorsal thalamus, and midbrain (P<0.05), but there were no differences in the standardized volume of bilateral caudate nucleus, bilateral hippocampus and bilateral amygdale (P>0.05). Conclusion MRI volume measurement of the change of caudate nucleus, putamen, globus pallidus, midbrain, dorsal thalamus, hippocampus and amygdala in patients with PD can be helpful for the diagnosis of Parkinson’s disease.

Key words:

Parkinson’s disease, Caudate nucleus, Putamen, Globus pallidus, Midbrain, Dorsal thalamus, Hippocampus, Amygdala, Magnetic resonance imaging, Human

LIU Gui-xue SHI Yong-hong WANG Shi-qing LI Wen-sheng.

Differential analysis of brain structure volume associated with Parkinson’s disease based on nuclear magnetic resonance T1 imaging

[J]. Acta Anatomica Sinica, 2018, 49(3): 347-354.

References

［1］Hornykiewicz O. Dopamine (3-hydroxytyramine) and brain function［J］. Pharmacol Rev,1966, 18(2):925-964.

［2］Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality［J］. Neurology, 1967,17:427-442.

[3］Qin JW, Li HZh, Liang PP, et al. MRI combined with the volume of the hippocampus and the entorhinal cortex to indentify Alzheimer’s disease and mild cognitive impairment［J］. Journal of Medical Imaging, 215, 25(9):1515-1519. (in Chinese)

秦嘉玮, 李慧卓, 梁佩鹏, 等. MRI联合海马、内嗅皮层体积鉴别阿尔茨海默病和轻度认知障碍［J］. 医学影像学杂志,2015,25(9):1515-1519.

［4］Femminella GD, Ninan S, Atkinson R, et al. Does microglial activation influence hippocampal volume and neuronal function in Alzheimer’s disease and Parkinson’s disease dementia ［J］ ? J Alzheimer’s Dis,2016,51(4):1275-1289.

［5］Chung SJ, Shin JH, Chokh, et al. Subcortical shape analysis of progressive mild cognitive impairment in Parkinson’s disease［J］. Mov Disord,2017,32 (10):1447-1456.

［6］Zhang WZh, Lu FF, Xue Sh, et al. Parkinson’s 3D reconstruction of subthalamic nucleus［J］. Electronic of Transformation Medicine, 2016, 3(3);5-8. (in Chinese)

张伟忠, 卢凤飞, 薛杉, 等. 帕金森患者丘脑底核三维重建［J］. 转化医学电子杂志,2016,3(3):5-8.

［7］Breen DP, Nombela C, Vuono R, et al. Hypothalamic volume loss is associated with reduced melatonin output in Parkinson’s Disease［J］. Mov Disord,2016, 31(7):1062-1066.［8］Choi S M, Kim B C, Chang J, et al. Comparison of the brain volume in essential tremor and Parkinson’s disease tremor using an automated segmentation method［J］. Eur Neurol, 2015,73(5-6):303-309.

[9］Liu F, Fan GG, Wang C, et al. Measurements of basal ganglia volume in patients with Parkinson’s disease by 3.0 TMR. magnetic sensitive weighted imaging［J］. Central Neuroimaging, 2011, 27(3): 483-486. (in Chinese)

刘芳, 范国光, 王慈, 等. 3.0T MR磁敏感加权成像测量帕金森病患者基底节区体积［J］. 中枢神经影像学, 2011,27(3):483-486.

［10］O’Nei ll J, Schuff N, Marks WJ, et al. Quantitative 1H magnetic resonance spectroscopy and MRI of Parkinson’ s disease ［J］. Mov Dis, 2002,17(5):917-927.

［11］Almeida OP, Burton EJ, McKeith L, et al. MRI study of caudate nucleus volume in Parkinson’ s disease with and without dementia with Lewy bodies and Alzheimer’ s disease ［J］. Dement Geriatr Cong Disord,2003,16(2):57-63.

［12］Crutcher MD, DeLong MR. Single cell studies of the pritamen.Ⅰ. Functional organization ［J］. Exp Brain Res,1984,53(2):233-243.

［13］Foo H, Mak E, Yong TT, et al. Progression of subcortical atrophy in mild Parkinson’s disease and its impact on cognition［J］. Eur J Neurol,2017,24(2):341-348.

［14］Lee SH, Kim SS, Tae WS, et al. Regional volume analysis of the Parkinson disease brain in early disease stage: gray matter, white matter, striatum, and thalamus ［J］. J Neuroradiol,2011,32(4):682-687.

［15］Lewis MM, Du G, Lee EY, et al. The pattern of gray matter atrophy in Parkinson’s disease differs in cortical and subcortical Regions［J］. J Neurol,2016;263(1):68-75.

［16］Zhang Y, Zhang J, Xu J, et al. Cortical gyrification reductions and subcortical atrophy in Parkinson’s disease［j］.Mov Disord, 2014,29(1):122-126.

［17］Pitcher T L, Melzer T R, Macaskill M R, et al. Reduced striatal volumes in Parkinson’s disease: a magnetic resonance imaging study ［J］. Transl Neurodegener,2012,1(1):17.［18］van Mierlo TJ, Chung C, Foncke EM, et al. Depressive symptoms in Parkinson’s disease are related to decreased hippocampus and amygdala volume［J］. Mov Disord, 2015,30(2):245-252.

［19］Camicioli R, Moore M.M, Kinney A, et al. Parkinson’s disease is associated with hippocampal atrophy ［J］. Mov Disord,2003,18(7):784-790.

［20］Junque C, Ramirez-Ruiz B, Tolosa E, et al. Amygdalar and hippocampal MRI volumetric reductions in Parkinson’s disease with dementia ［J］. Mov Disord, 2005,20(5):540-544.

［21］Bouchard TP, Malykhin N, Martin WR, et al. Age and dementia-associated atrophy predominates in the hippocampal head and amygdala in Parkinson’s disease ［J］. Neurobiol Aging, 2008,29(7):1027-1039.

［22］Vriend C, Boedhoe P S, Rutten S, et al. A smaller amygdala is associated with anxiety in Parkinson’s disease: a combined FreeSurfer—VBM study［J］. J Neurol Neurosurg Psychiatry, 2016, 87(5):493-500.

[1]	LIU Xiao-li XU Lin WU Ai-xue WEN Cai-yun LI Ru-hua WU An-ting CHEN Dai-qian CHEN Cheng-chun. Analysis of cerebral gray matter structure in multiple sclerosis and neuromyelitis optica [J]. Acta Anatomica Sinica, 2024, 55(1): 17-24.
[2]	SUN Lei WANG Xing-yu XIE Shui-hua. Risk analysis of re-fracture after percutaneous kyphoplasty in elderly patients with osteoporotic thoracolumbar compression fractures and construction of acolumnar graph prediction model#br# [J]. Acta Anatomica Sinica, 2024, 55(1): 98-104.
[3]	WANG Wen-juan DING Yu-tong SU Hao REN Jie SUN Yan-rong WANG Han-fei LU Jia-li ZHANG Lin-qian BAI Yu QIN Li-hua. Changes of Nogo-A expression in hippocampus and striatum of rats under low estrogen condition [J]. Acta Anatomica Sinica, 2023, 54(6): 620-627.
[4]	LI Xia ZHU Shi-jie TANG Zhong-sheng LUO Ya-fei FAN Rui-juan XIE Gao-yu KOU Yun-fang LU Ying. Mechanism of electroacupuncture regulating the ligand pathway of tyrosine kinase receptor in improving vascular dementia [J]. Acta Anatomica Sinica, 2023, 54(6): 689-694.
[5]	LIU Ye CHU Ya-nan XU Ce-lu HE Jia-cheng SU Bing-yin TAI Hao-ran. Roscovitine rescuing neuronal loss and neuroinflammation in brain regions associated with Parkinson’s disease mice [J]. Acta Anatomica Sinica, 2023, 54(6): 635-643.
[6]	SUN Juan CHEN Jing-wei YANG Yi LIN Tao MOU Ya-lin ZHAO Xiu-li ZENG Guo-xi ZHANG Yan . Effects of hypoxia preconditioning on hematology-related indexes through hypoxia inducible factor-1α/stromal cell-derived factor-1 pathway in rats [J]. Acta Anatomica Sinica, 2023, 54(5): 505-511.
[7]	LI Meng-yi WU An-ting XU Ze-ting ZHANG Ting LI Jun-wei ZHOU Peng CUI Huai-rui SUN Chen-you. Effect and molecular mechanism of mammalian target of rapamycin complex 2/Akt signaling pathway on 6-hydroxydopamine-treated SH-SY5Y cell model [J]. Acta Anatomica Sinica, 2023, 54(5): 521-530.
[8]	ZHOU Chun-hui XIE Sheng-qiang WANG Jiang-ting LAN Xiao-juan ZHANG Jian-ning ZHAO Hu-lin . Application of multimodal electromagnetic navigation in endoscopic endonasal skull base anatomical measurement of fresh cadavers [J]. Acta Anatomica Sinica, 2023, 54(5): 560-566.
[9]	BAI Peng LI Wei ZHONG Hua WANG Zhan-fei. Measurement of the magnetic resonance imaging of the area supratentorial and infratentorial mid-sagittal plane of the normal Tibetan adults [J]. Acta Anatomica Sinica, 2023, 54(5): 567-574.
[10]	CHENG Yong-bo QU Jia-hua SHAN Wen LIU Qian-qian QIN Jian-bin TIAN Mei-ling ZHANG Xin-hua SHI Wei. Effects of astrocytes on the proliferation of neural stem cells in the hippocampal microenvironment of old and young adults [J]. Acta Anatomica Sinica, 2023, 54(4): 375-382.
[11]	XU Lin LIU Xiao-li CHEN Zheng-zhen WEN Cai-yun LI Chang-sheng LI Ru-hua CHEN Dai-qian CHEN Cheng-chun. Multi-index analysis of regional brain activity in patients with Alzheimer’s disease during resting state [J]. Acta Anatomica Sinica, 2023, 54(1): 75-81.
[12]	SHI Meng-meng ZHANG Yuan LI Jing LUO Xiang-lin ZHANG Yuan XU Yang ZHONG Xiao-lin CAO Wen-yu. Effect of chronic restraint stress on the phenotypic transition of hippocampal astrocytes and depression-like behavior in mice [J]. Acta Anatomica Sinica, 2023, 54(1): 42-49.
[13]	ZHANG Lei YANG Si-yi ZHANG Xiao-hong CAO Xing-wang XIA Zhang-rong ZHOU Xin. Anatomical characteristics and clinical significance of the syndesmosis based on MRI [J]. Acta Anatomica Sinica, 2022, 53(5): 628-632.
[14]	DENG Ying-cheng NIU lei XIAO Yu-hua XU Xuan SUN Qiu-ming WAN Wei. Effect of hippocampal brain derived neurotrophic factor precursor in mice cognitive dysfuction induced by social isolation [J]. Acta Anatomica Sinica, 2022, 53(2): 155-159.
[15]	QIN Bo WANG Zheng-yang YIN Fan-xiang YAN Dan ZHU Zhu. Expression and clinical significance of CC motif chemokine ligand 20 in esophageal carcinoma based on the Cancer Genome Atlas data mining [J]. Acta Anatomica Sinica, 2022, 53(1): 60-65.