Features of changes in fractional anisotropy of different brain parts during the progression of Parkinson's disease
Irina A. Vlasova , Artem G. Trufanov , Igor' V. Litvinenko , Miroslav M. Odinak
Russian Military Medical Academy Reports ›› 2023, Vol. 42 ›› Issue (4) : 383 -389.
Features of changes in fractional anisotropy of different brain parts during the progression of Parkinson's disease
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.
cerebral cortex / cerebral white matter / fractional anisotropy / magnetic resonance imaging / Parkinson's disease / progression / tractography
| [1] |
Levin OS, Fedorova NV. Parkinson’s disease. 3rd edition. Moscow: MEDpress-inform Publ.; 2012. 352 p. (In Russ.) |
| [2] |
Левин О.С., Федорова Н.В. Болезнь Паркинсона. 3-е изд. М.: МЕДпресс-информ, 2012. 352 c. |
| [3] |
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.) |
| [4] |
Китаев С.В., Попова Т.А. Принципы визуализации диффузионного тензора и его применение в неврологии // Анналы клинической и экспериментальной неврологии. 2012. T. 6, № 1. C. 48–53. |
| [5] |
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. |
| [6] |
Мазуренко Е.В., Пономарев В.В., Сакович Р.А. Диффузионно-тензорная МРТ в диагностике когнитивных нарушений у пациентов с болезнью Паркинсона // Медицинские новости. 2014. № 10. C. 69–75. |
| [7] |
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 |
| [8] |
Langley J., Huddleston D.E., Merritt M., et al. Diffusion Tensor Imaging of the Substantia Nigra in Parkinson’s disease Revisited // Hum. Brain Mapp. 2016. Vol. 37, No. 7. P. 2547–2556. DOI: 10.1002/hbm.23192 |
| [9] |
Litvinenko IV. dementia and psychotic disorders in parkinsonism: common origin and new perspectives in therapy. Uspekhi gerontologii. 2004;(13):94–101. (In Russ.) |
| [10] |
Литвиненко И.В. Деменция и психотические нарушения при паркинсонизме: общность возникновения и новые перспективы в терапии // Успехи геронтологии. 2004. № 13. C. 94–101. |
| [11] |
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.) |
| [12] |
Труфанов А.Г., Литвиненко И.В., Юрин А.А. и др. Современные возможности магнитно-резонансной томографии в диагностике синдрома паркинсонизма // Российский электронный журнал лучевой диагностики. 2018. T. 8, № 1. C. 52–65. |
| [13] |
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 |
| [14] |
Atkinson-Clement C., Pinto S., Eusebio A., et al. Diffusion tensor imaging in Parkinson’s disease: Review and meta-analysis // Neuroimage Clin. 2017. Vol. 16. P. 98–110. DOI: 10.1016/j.nicl.2017.07.011 |
| [15] |
Lees A, Hardy J, Revesz T. Parkinson’s disease. Lancet. 2009;373:2055–2066. DOI: 10.1016/S0140-6736(09)60492-X |
| [16] |
Lees A., Hardy J., Revesz T. Parkinson’s disease // Lancet. 2009. Vol. 373. P. 2055–2066. DOI: 10.1016/S0140-6736(09)60492-X |
| [17] |
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 |
| [18] |
Saeed U., Lang A.E., Masellis M. Neuroimaging Advances in Parkinson’s Disease and Atypical Parkinsonian Syndromes // Frontiers in Neurology. 2020. Vol. 11. P. 572976. DOI: 10.3389/fneur.2020.572976 |
| [19] |
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 |
| [20] |
Chen N.K., Chou Y.H., 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. Vol. 8, No. 6. P. 343–349. DOI: 10.1089/brain.2017.0558 |
| [21] |
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. |
| [22] |
Herz D.M., Eickhoff S.B., Lokkegaard A., et al. Functional neuroimaging of motor control in Parkinson’s disease: a meta-analysis // Hum. Brain Mapp. 2014. Vol. 35, No. 7. P. 3227–3237. DOI: 10.1002/hbm.22397 |
| [23] |
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 |
| [24] |
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. Vol. 371. P. 137–147. DOI: 10.1016/j.jns.2016.10.035 |
| [25] |
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 |
| [26] |
Kurani A.S., Seidler R.D., Burciu R.G., et al. Subthalamic nucleus–sensorimotor cortex functional connectivity in de novo and moderate Parkinson’s disease // Neurobiol. Aging. 2015. Vol. 36, No. 1. P. 462–469. DOI: 10.1016/j.neurobiolaging.2014.07.004 |
| [27] |
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 |
| [28] |
Mormina E., Arrigo A., Calamuneri A., et al. Diffusion tensor imaging parameters’ changes of cerebellar hemispheres in Parkinson’s disease // Neuroradiology. 2015. Vol. 57, No. 3. P. 327–334. DOI: 10.1007/s00234-014-1473-5 |
| [29] |
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 |
| [30] |
Haghshomar M., Shobeiri P., Seyedi S.A., et al. Cerebellar Microstructural Abnormalities in Parkinson’s Disease: a Systematic Review of Diffusion Tensor Imaging Studies // Cerebellum. 2022. Vol. 21, No. 4. P. 545–571. DOI: 10.1007/s12311-021-01355-3 |
| [31] |
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 |
| [32] |
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. Vol. 51. P. 55–60. DOI: 10.1016/j.parkreldis.2018.02.046 |
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