电邮这篇文章 Features of changes in fractional anisotropy of different brain parts during the progression of Parkinson's disease
- 作者: Vlasova I.A.1,2, Trufanov A.G.1, Litvinenko I.V.1, Odinak M.M.1
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隶属关系:
- Military Medical Academy
- North-Western district scientific and clinical center named after L.G. Sokolov
- 期: 卷 42, 编号 4 (2023)
- 页面: 383-389
- 栏目: Original articles
- URL: https://bakhtiniada.ru/RMMArep/article/view/264749
- DOI: https://doi.org/10.17816/rmmar609537
- ID: 264749
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详细
BACKGROUND: Parkinson's disease is a neurodegenerative disease, in second place in terms of incidence in the world after Alzheimer's disease. It is currently believed that the presymptomatic stages of Parkinson's disease are mainly associated with degeneration of the subcortical and vegetetive nervous systems, and lesions of the cerebral cortex appear on later stages of the disease, however, it is of interest to study in more detail the involvement of the pathways of the brain in the pathological process in depending the disease progression.
OBJECTIVE: to study features of damage to the brain pathways during the progression of Parkinson's disease by magnetic resonance tractography.
MATERIAL AND METHODS: 88 patients with Parkinson's disease were examined (stage II disease — 42 people, stage III — 46 people according to the Hoehn and Yahr scale). The control group consisted of 35 people who did not differ in gender. All patients included in the study underwent a neurological examination, as well as magnetic resonance imaging of the brain with diffusion tensor imaging.
RESULTS: We found that with increasing stage of Parkinson's disease, there was a significant increase in fractional anisotropy in the hippocampus, insular cortex, and inferior and superior temporal sulcus cortex in patients with Parkinson's disease; we also noted a significant decrease in putamen fractional anisotropy.
CONCLUSION: the tractography study of the brain pathways during disease progression is a promising method that allows us to clarify in the pathogenesis of Parkinson's disease, including the role of extra-nigral pathology in the development of some non-motor disorders.
作者简介
Irina Vlasova
Military Medical Academy; North-Western district scientific and clinical center named after L.G. Sokolov
Email: a629100@yandex.ru
ORCID iD: 0000-0001-5796-9814
M.D., Neurologist
俄罗斯联邦, Saint Petersburg; Saint PetersburgArtem Trufanov
Military Medical Academy
编辑信件的主要联系方式.
Email: trufanovart@gmail.com
ORCID iD: 0000-0003-2905-9287
SPIN 代码: 7335-6463
Scopus 作者 ID: 55543694800
M.D., D.Sc. (Medicine), Associate Professor of the Nervous Diseases Department
俄罗斯联邦, Saint PetersburgIgor' Litvinenko
Military Medical Academy
Email: litvinenkoiv@rambler.ru
ORCID iD: 0000-0001-8988-3011
SPIN 代码: 6112-2792
Scopus 作者 ID: 35734354000
Researcher ID: F-9120-2013
M.D., D.Sc. (Medicine), Professor
俄罗斯联邦, Saint PetersburgMiroslav Odinak
Military Medical Academy
Email: odinak@rambler.ru
ORCID iD: 0000-0002-7314-7711
SPIN 代码: 1155-9732
Scopus 作者 ID: 7003327776
Researcher ID: I-6024-2016
M.D., Corresponding Member of the Russian Academy of Sciences, D.Sc. (Medicine), Professor
俄罗斯联邦, Saint Petersburg参考
- Levin OS, Fedorova NV. Parkinson’s disease. 3rd edition. Moscow: MEDpress-inform Publ.; 2012. 352 p. (In Russ.)
- Kitaev SV, Popova TA. Principles of visualization of the diffusion tensor and its application in neurology. Annals of clinical and experimental neurology. 2012;6(1):48–53. (In Russ.)
- Mazurenko ЕВ, Ponomarev ВВ, Sakovich RА. Diffusion-tensor MRI in the diagnosis of cognitive disorders in patients with Parkinson’s disease. Medical news. 2014;(10):69–75.
- Langley J, Huddleston DE, Merritt M, et al. Diffusion Tensor Imaging of the Substantia Nigra in Parkinson’s disease Revisited. Hum Brain Mapp. 2016;37(7):2547–2556. doi: 10.1002/hbm.23192
- Litvinenko IV. dementia and psychotic disorders in parkinsonism: common origin and new perspectives in therapy. Uspekhi gerontologii. 2004;(13):94–101. (In Russ.)
- Trufanov AG, Litvinenko IV, Yurin AA, et al. Modern possibilities of magnetic resonance imaging in the diagnosis of parkinsonian syndrome. Russian Electronic Journal of Radiology. 2018;8(1):52–65. (In Russ.)
- Atkinson-Clement C, Pinto S, Eusebio A, et al. Diffusion tensor imaging in Parkinson’s disease: Review and meta-analysis. Neuroimage Clin. 2017;16:98–110. doi: 10.1016/j.nicl.2017.07.011
- Lees A, Hardy J, Revesz T. Parkinson’s disease. Lancet. 2009;373:2055–2066. doi: 10.1016/S0140-6736(09)60492-X
- Saeed U, Lang AE, Masellis M. Neuroimaging Advances in Parkinson’s Disease and Atypical Parkinsonian Syndromes. Frontiers in Neurology. 2020;11:572976. doi: 10.3389/fneur.2020.572976
- Chen NK, Chou YH, Sundman M, et al. Alteration of Diffusion-Tensor Magnetic Resonance Imaging Measures in Brain Regions Involved in Early Stages of Parkinson’s Disease. Brain Connect. 2018;8(6):343–349. doi: 10.1089/brain.2017.0558
- Herz DM, Eickhoff SB, Lokkegaard A, et al. . Functional neuroimaging of motor control in Parkinson’s disease: a meta-analysis. Hum Brain Mapp. 2014;35(7):3227–3237.
- Wang Z, Chen H, Ma H, et al. Resting-state functional connectivity of subthalamic nucleus in different Parkinson’s disease phenotypes. J Neurol Sci. 2016;371:137–147. doi: 10.1016/j.jns.2016.10.035
- Kurani AS, Seidler RD, Burciu RG, et al. Subthalamic nucleus–sensorimotor cortex functional connectivity in de novo and moderate Parkinson’s disease. Neurobiol Aging. 2015;36(1):462–469. doi: 10.1016/j.neurobiolaging.2014.07.004
- Mormina E, Arrigo A, Calamuneri A, et al. Diffusion tensor imaging parameters’ changes of cerebellar hemispheres in Parkinson’s disease. Neuroradiology. 2015;57(3):327–334. doi: 10.1007/s00234-014-1473-5
- Haghshomar M, Shobeiri P, Seyedi SA, et al. Cerebellar Microstructural Abnormalities in Parkinson’s Disease: a Systematic Review of Diffusion Tensor Imaging Studies. Cerebellum. 2022;21(4): 545–571. doi: 10.1007/s12311-021-01355-3
- Andica C, Kamagata K, Hatano T, et al. Neurite orientation dispersion and density imaging of the nigrostriatal pathway in Parkinson’s disease: Retrograde degeneration observed by tract-profile analysis. Parkinsonism Rel Disord. 2018;51:55–60. doi: 10.1016/j.parkreldis.2018.02.046
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