r-n-jРоссийский неврологический журналRussian neurological journal2658-79472686-7192МИА10.30629/2658-7947-2021-26-3-23-33r-n-j-184Research ArticleИССЛЕДОВАНИЯ И КЛИНИЧЕСКИЕ НАБЛЮДЕНИЯCLINICAL RESEARCHES AND CASE REPORTSВозможности диффузионно-взвешенной магнитно-резонансной томографии в определении реабилитационного потенциала острого периода ишемического инсультаPossibilities of diff usion-weighted magnetic resonance imaging in determining the rehabilitation potential of the acute period of ischemic strokehttps://orcid.org/0000-0001-6061-8118КулешА. А.KuleshA. A.

Кулеш Алексей Александрович

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aleksey.kulesh@gmail.comhttps://orcid.org/0000-0001-8523-2692ДробахаВ. Е.DrobakhaV. E.

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https://orcid.org/0000-0003-2224-4260СобянинК. В.SobyaninK. V.

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https://orcid.org/0000-0002-7079-1018КуликоваС. П.KulikovaS. P.

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https://orcid.org/0000-0002-3462-444XБыковаА. Ю.BykovaA. Yu.

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https://orcid.org/0000-0002-3785-1154КайлеваН. А.KailevaN. A.

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https://orcid.org/0000-0002-6310-9316ШестаковВ. В.ShestakovV. V.

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ФГБОУ ВО «Пермский государственный медицинский университет им. академика Е.А. Вагнера» Минздрава России; ГАУЗ ПК «Городская клиническая больница № 4»РоссияE.A. Vagner Perm State Medical University; City Clinical Hospital №4Russian FederationНИУ «Высшая школа экономики»РоссияNational Research University Higher School of EconomicsRussian FederationГАУЗ ПК «Городская клиническая больница № 4»РоссияCity Clinical Hospital №4Russian FederationФГБОУ ВО «Пермский государственный медицинский университет им. академика Е.А. Вагнера» Минздрава РоссииРоссияE.A. Vagner Perm State Medical UniversityRussian Federation2021210720212632333Copyright © Кулеш А.А., Дробаха В.Е., Собянин К.В., Куликова С.П., Быкова А.Ю., Кайлева Н.А., Шестаков В.В., 20212021Кулеш А.А., Дробаха В.Е., Собянин К.В., Куликова С.П., Быкова А.Ю., Кайлева Н.А., Шестаков В.В.Kulesh A.A., Drobakha V.E., Sobyanin K.V., Kulikova S.P., Bykova A.Y., Kaileva N.A., Shestakov V.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.r-n-j.com/jour/article/view/184

Исследования последнего десятилетия демонстрируют высокий потенциал диффузионно-взвешенной МРТ (дМРТ) как современной методики для неинвазивной количественной оценки микроструктурной целостности белого вещества головного мозга, которая позволяет прогнозировать некоторые аспекты реабилитационного потенциала. Цель исследования: рассчитать пороговые значения фракционной анизотропии (ФА) некоторых церебральных трактов, информативные в определении различных аспектов реабилитационного потенциала в остром периоде ишемического инсульта. Материал и методы. Обследованы 100 пациентов с ишемическим инсультом и 10 лиц без инсульта и когнитивных нарушений. Всем больным выполнялись дМРТ и клиническая оценка индикаторов реабилитационного потенциала при выписке. Результаты. Показатель NIHSS при выписке ассоциирован с размером очага, ФА передней, задней ножки и колена внутренней капсулы, верхнего продольного, цингулярного и нижнего фронто-окципитального пучков. Схожие ассоциации отмечались для индекса мобильности Ривермид и шкалы Рэнкина. Функция кисти по шкале Френчай ассоциирована с размером очага, ФА передней ножки внутренней капсулы, верхнего продольного, нижнего фронто-окципитального и цингулярного пучков. Показатель MoCA взаимосвязан только с размером очага и ФА передней ножки внутренней капсулы, шкалы Берга — с размером очага и ФА верхнего продольного пучка, шкалы FIM — с ФА верхнего продольного, нижнего фронто-окципитального и цингулярного пучков. Определены пороговые значения ФА церебральных трактов, наиболее информативные в определении различных аспектов реабилитационного потенциала в остром периоде ишемического инсульта. Заключение. Количественная оценка ФА основных проекционных и ассоциативных трактов информативна в отношении определения реабилитационного потенциала в остром периоде ишемического инсульта

Studies over the past decade demonstrate the high potential of diff usion-weighted MRI (dMRI) as a modern technique for non-invasive quantitative assessment of the microstructural integrity of the white matter of the brain, which allows predicting some aspects of the rehabilitation potential. Purpose of the study: to calculate the threshold values of fractional anisotropy (FA) of some cerebral tracts, which are informative in determining various aspects of the rehabilitation potential in the acute period of ischemic stroke. Patients and methods. We examined 100 patients with ischemic stroke and 10 persons without stroke and cognitive impairment. All patients underwent dMRI and clinical assessment of indicators of rehabilitation potential at discharge. Results. The NIHSS at discharge is associated with the size of infarction, the FA of the anterior, posterior leg and knee of the internal capsule, the superior longitudinal, cingular and inferior fronto-occipital bundles. Similar associations were noted for the Rivermead mobility index and the Rankin scale. The function of the hand according to the Frenchay scale is associated with the size of the lesion, FA of the anterior leg of the internal capsule, superior longitudinal, inferior fronto-occipital and cingular bundles. The MoCA is interrelated only with the size of the infarction and the FA of the anterior leg of the internal capsule, the Berg scale — with the size of the lesion and the FA of the upper longitudinal bundle, the FIM scale — with the FA of the upper longitudinal, inferior fronto-occipital and cingular bundles. The threshold values of FA of the cerebral tracts which are most informative in determining various aspects of the rehabilitation potential in the acute period of ischemic stroke were determined. Conclusion. The quantitative assessment of the FA of the main projection and associative tracts is informative in relation to the determination of the rehabilitation potential in the acute period of ischemic stroke.

ишемический инсультдиффузионно-взвешенная МРТфракционная анизотропияреабилитационный потенциалischemic strokediff usion-weighted MRIfractional anisotropyrehabilitation potentialReferencesNazarova M., Kulikova S., Piradov M.A., Limonova A.S., Dobrynina L.A., Konovalov R.N. et al. Multimodal Assessment of the Motor System in Patients With Chronic Ischemic Stroke. Stroke. 2021;52(1):241–249. doi: 10.1161/STROKEAHA.119.028832Nazarova M., Kulikova S., Piradov M.A., Limonova A.S., Dobrynina L.A., Konovalov R.N. et al. Multimodal Assessment of the Motor System in Patients With Chronic Ischemic Stroke. Stroke. 2021;52(1):241–249. doi: 10.1161/STROKEAHA.119.028832Туляганова Н.М. Качественная и количественная оценка проводящих путей с помощью диффузионно-тензорной магнитно-резонансной томографии у детей с церебральным инсультом. Медицинская визуализация. 2017;(1):5–12. https://doi.org/10.24835/1607-0763-2017-1-5-12Tulyaganova N.M. Qualitative and Quantitative Evaluation of Pathways by Diff usion Tensor Imaging in Children with Cerebral Stroke. Medical Visualization. 2017;(1):5–12. (In Russian). https://doi.org/10.24835/1607-0763-2017-1-5-12Добрынина Л.А., Коновалов Р.Н., Кремнева Е.И., Кадыков А.С. МРТ в оценке двигательного восстановления больных с хроническими супратенториальными инфарктами. Анналы клинической и экспериментальной неврологии. 2012;6(2):4–10.Dobrynina L.A., Konovalov R.N., Kremneva E.I., Kadykov A.S. MRI in the assessment of motor function restoration in patients with chronic supratentorial infarction. Annals of Clinical and Experimental Neurology. 2012;6(2):4–10. (In Russian).Максимова М.Ю., Попова Т.А., Коновалов Р.Н. Оценка прогноза восстановления двигательной функции у больных с ишемическим инсультом с помощью диффузионно-тензорной магнитно-резонансной томографии. Журнал неврологии и психиатрии им. С.С. Корсакова. Спецвыпуски. 2016;116 (8Pt2):57–64. https://doi.org/10.17116/jnevro20161168257-64Maximova M.Y., Popova T.A., Konovalov R.N. Prоgnosis of motor function recovery in ischemic stroke using diff usion tensor MRI. Zh. Nevrol. Psikhiatr. imeni S.S. Korsakova. 2016;116 (8Pt2):57–64. (in Russian). https://doi.org/10.17116/jnevro20161168257-64Белова А.Н., Григорьева В.Н., Сушин В.О., Белова Е.М., Исраелян Ю.А., Шейко Г.Е. Анатомо-функциональные особенности кортикоспинальных трактов и их роль в восстановлении двигательных функций после повреждений головного мозга. Вестник восстановительной медицины. 2020;1(95):9–18.Belova A.N., Grygorieva V.N., Sushin V.O., Belova E.M., Israelyan Y.A., Sheyko G.E. Anatomical and functional features of corticospinal tracts and their role in restoration of motor functions after brain injury. Bulletin of rehabilitation medicine. 2020;1(95):9–18. (in Russian).Stebbins G.T., Murphy C.M. Diff usion tensor imaging in Alzheimer’s disease and mild cognitive impairment. Behav Neurol. 2009;21(1):39–49. https://doi.org/10.3233/BEN-2009-0234Stebbins G.T., Murphy C.M. Diff usion tensor imaging in Alzheimer’s disease and mild cognitive impairment. Behav Neurol. 2009;21(1):39–49. https://doi.org/10.3233/BEN-2009-0234Lindenberg R., Zhu L.L., Rüber T., Schlaug G. Predicting functional motor potential in chronic stroke patients using diff usion tensor imaging. Hum. Brain Mapp. 2012;33(5):1040–51. https://doi.org/10.1002/hbm.21266Lindenberg R., Zhu L.L., Rüber T., Schlaug G. Predicting functional motor potential in chronic stroke patients using diff usion tensor imaging. Hum. Brain Mapp. 2012;33(5):1040–51. https://doi.org/10.1002/hbm.21266Puig J., Blasco G., Schlaug G., Stinear C.M., Daunis-I-Estadella P., Biarnes C. et al. Diff usion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke. Neuroradiology. 2017;59(4):343–351. https://doi.org/10.1007/s00234-017-1816-0Puig J., Blasco G., Schlaug G., Stinear C.M., Daunis-I-Estadella P., Biarnes C. et al. Diff usion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke. Neuroradiology. 2017;59(4):343–351. https://doi.org/10.1007/s00234-017-1816-0Soulard J., Huber C., Baillieul S., Thuriot A., Renard F., Aubert Broche B. et al. Motor tract integrity predicts walking recovery: A diff usion MRI study in subacute stroke. Neurology. 2020;94(6):583–593. https://doi.org/10.1212/WNL.0000000000008755Soulard J., Huber C., Baillieul S., Thuriot A., Renard F., Aubert Broche B. et al. Motor tract integrity predicts walking recovery: A diff usion MRI study in subacute stroke. Neurology. 2020;94(6):583–593. https://doi.org/10.1212/WNL.0000000000008755Yeo S.S., Jang S.H., Park G.Y., Oh S. Eff ects of injuries to descending motor pathways on restoration of gait in patients with pontine hemorrhage. J. Stroke Cerebrovasc. Dis. 2020;29(7):104857. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104857Yeo S.S., Jang S.H., Park G.Y., Oh S. Eff ects of injuries to descending motor pathways on restoration of gait in patients with pontine hemorrhage. J. Stroke Cerebrovasc. Dis. 2020;29(7):104857. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104857Fan Y.T., Lin K.C., Liu H.L., Chen Y.L., Wu C.Y. Changes in structural integrity are correlated with motor and functional recovery after post-stroke rehabilitation. Restor Neurol Neurosci. 2015;33(6):835–44. https://doi.org/10.3233/RNN-150523Fan Y.T., Lin K.C., Liu H.L., Chen Y.L., Wu C.Y. Changes in structural integrity are correlated with motor and functional recovery after post-stroke rehabilitation. Restor Neurol Neurosci. 2015;33(6):835–44. https://doi.org/10.3233/RNN-150523Forkel S.J., Thiebaut de Schotten M., Dell’Acqua F., Kalra L., Murphy D.G., Williams S.C. et al. Anatomical predictors of aphasia recovery: a tractography study of bilateral perisylvian language networks. Brain. 2014;137(7):2027–39. https://doi.org/10.1093/brain/awu113Forkel S.J., Thiebaut de Schotten M., Dell’Acqua F., Kalra L., Murphy D.G., Williams S.C. et al. Anatomical predictors of aphasia recovery: a tractography study of bilateral perisylvian language networks. Brain. 2014;137(7):2027–39. https://doi.org/10.1093/brain/awu113Ivanova M.V., Isaev D.Y., Dragoy O.V., Akinina Y.S., Petrushevskiy A.G., Fedina O.N., et al. Diff usion-tensor imaging of major white matter tracts and their role in language processing in aphasia. Cortex. 2016;85:165–181. https://doi.org/10.1016/j.cortex.2016.04.019Ivanova M.V., Isaev D.Y., Dragoy O.V., Akinina Y.S., Petrushevskiy A.G., Fedina O.N., et al. Diff usion-tensor imaging of major white matter tracts and their role in language processing in aphasia. Cortex. 2016;85:165–181. https://doi.org/10.1016/j.cortex.2016.04.019Kulesh A., Drobakha V., Kuklina E., Nekrasova I., Shestakov V. Cytokine Response, Tract-Specifi c Fractional Anisotropy, and Brain Morphometry in Post-Stroke Cognitive Impairment. J. Stroke Cerebrovasc. Dis. 2018;27(7):1752–1759. https://doi.org/10.1016/j.jstrokecerebrovasdis.2018.02.004Kulesh A., Drobakha V., Kuklina E., Nekrasova I., Shestakov V. Cytokine Response, Tract-Specifi c Fractional Anisotropy, and Brain Morphometry in Post-Stroke Cognitive Impairment. J. Stroke Cerebrovasc. Dis. 2018;27(7):1752–1759. https://doi.org/10.1016/j.jstrokecerebrovasdis.2018.02.004Zamboni G., Griff anti L., Mazzucco S., Pendlebury S.T., Rothwell P.M. Age-dependent association of white matter abnormality with cognition after TIA or minor stroke. Neurology. 2019;93(3):272–282. https://doi.org/10.1212/WNL.0000000000007772Zamboni G., Griff anti L., Mazzucco S., Pendlebury S.T., Rothwell P.M. Age-dependent association of white matter abnormality with cognition after TIA or minor stroke. Neurology. 2019;93(3):272–282. https://doi.org/10.1212/WNL.0000000000007772Galovic M., Leisi N., Pastore-Wapp M., Zbinden M., Vos S.B., Mueller M. et al. Diverging lesion and connectivity patterns infl uence early and late swallowing recovery after hemispheric stroke. Hum. Brain Mapp. 2017;38(4):2165–2176. https://doi.org/10.1002/hbm.23511Galovic M., Leisi N., Pastore-Wapp M., Zbinden M., Vos S.B., Mueller M. et al. Diverging lesion and connectivity patterns infl uence early and late swallowing recovery after hemispheric stroke. Hum. Brain Mapp. 2017;38(4):2165–2176. https://doi.org/10.1002/hbm.23511Jang S.H. Diff usion tensor imaging studies on arcuate fasciculus in stroke patients: a review. Front. Hum. Neurosci. 2013;7:749. https://doi.org/10.3389/fnhum.2013.00749Jang S.H. Diff usion tensor imaging studies on arcuate fasciculus in stroke patients: a review. Front. Hum. Neurosci. 2013;7:749. https://doi.org/10.3389/fnhum.2013.00749Kulikova S.P., Nikulin V.V., Dobrynina L.A., Nazarova M.A. А Possible Sensory Interpretation of Alternate Motor Fibers Relating to Structural Reserve during Stroke. Front. Neurol. 2017;8:355. https://doi.org/10.3389/fneur.2017.00355Kulikova S.P., Nikulin V.V., Dobrynina L.A., Nazarova M.A. А Possible Sensory Interpretation of Alternate Motor Fibers Relating to Structural Reserve during Stroke. Front. Neurol. 2017;8:355. https://doi.org/10.3389/fneur.2017.00355Кулеш А.А., Дробаха В.Е., Собянин К.В., Куликова С.П., Быкова А.Ю., Кайлева Н.А., и др. Роль церебрального резерва, оцененного с помощью диффузионно-взвешенной магнитно-резонансной томографии, в определении реабилитационного потенциала острого периода ишемического инсульта. Неврология, нейропсихиатрия, психосоматика. 2019;11(3):26–34. https://doi.org/10.14412/2074-2711-2019-3-26-34Kulesh A.A., Drobakha V.E., Sobyanin K.V., Kulikova S.P., Bykova A.Yu., Kaileva N.A. et al. Role of cerebral reserve assessed using diff usion-weighted magnetic resonance imaging in determining the rehabilitation potential of acute ischemic stroke. Neurology, Neuropsychiatry, Psychosomatics. 2019;11(3):26–34. (In Russian). https://doi.org/10.14412/2074-2711-2019-3-26-34Nanda P., Banks G.P., Pathak Y.J., Sheth S.A. Connectivity-based parcellation of the anterior limb of the internal capsule. Hum. Brain Mapp. 2017;38(12):6107–6117. https://doi.org/10.1002/hbm.23815Nanda P., Banks G.P., Pathak Y.J., Sheth S.A. Connectivity-based parcellation of the anterior limb of the internal capsule. Hum. Brain Mapp. 2017;38(12):6107–6117. https://doi.org/10.1002/hbm.23815Mithani K., Davison B., Meng Y., Lipsman N. The anterior limb of the internal capsule: Anatomy, function, and dysfunction. Behav. Brain Res. 2020;387:112588. https://doi.org/10.1016/j.bbr.2020.112588Mithani K., Davison B., Meng Y., Lipsman N. The anterior limb of the internal capsule: Anatomy, function, and dysfunction. Behav. Brain Res. 2020;387:112588. https://doi.org/10.1016/j.bbr.2020.112588Zhao L., Biesbroek J.M., Shi L., Liu W., Kuijf H.J., Chu W.W. et al. Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study. J. Cereb. Blood Flow Metab. 2018;38(8):1299–1311Zhao L., Biesbroek J.M., Shi L., Liu W., Kuijf H.J., Chu W.W. et al. Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study. J. Cereb. Blood Flow Metab. 2018;38(8):1299–1311Aben H.P., Biessels G.J., Weaver N.A., Spikman J.M., VisserMeily J.M.A., de Kort P.L.M. et al. Extent to Which Network Hubs Are Aff ected by Ischemic Stroke Predicts Cognitive Recovery. Stroke. 2019;50(10):2768–2774. https://doi.org/10.1161/STROKEAHA.119.025637Aben H.P., Biessels G.J., Weaver N.A., Spikman J.M., VisserMeily J.M.A., de Kort P.L.M. et al. Extent to Which Network Hubs Are Aff ected by Ischemic Stroke Predicts Cognitive Recovery. Stroke. 2019;50(10):2768–2774. https://doi.org/10.1161/STROKEAHA.119.025637Bournonville C., Hénon H., Dondaine T., Delmaire C., Bombois S., Mendyk A.M. et al. Identifi cation of a specifi c functional network altered in poststroke cognitive impairment. Neurology. 2018;90(21):1879–1888. https://doi.org/10.1212/WNL.0000000000005553Bournonville C., Hénon H., Dondaine T., Delmaire C., Bombois S., Mendyk A.M. et al. Identifi cation of a specifi c functional network altered in poststroke cognitive impairment. Neurology. 2018;90(21):1879–1888. https://doi.org/10.1212/WNL.0000000000005553Linacre J.M., Heinemann A.W., Wright B.D., Granger C.V., Hamilton B.B. The structure and stability of the Functional Independence Measure. Arch Phys. Med. Rehabil. 1994;75(2):127–32.Linacre J.M., Heinemann A.W., Wright B.D., Granger C.V., Hamilton B.B. The structure and stability of the Functional Independence Measure. Arch Phys. Med. Rehabil. 1994;75(2):127–32.Stern Y., Barnes C.A., Grady C., Jones R.N., Raz N. Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience. Neurobiol Aging. 2019;83:124–129. https://doi.org/10.1016/j.neurobiolaging.2019.03.022Stern Y., Barnes C.A., Grady C., Jones R.N., Raz N. Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience. Neurobiol Aging. 2019;83:124–129. https://doi.org/10.1016/j.neurobiolaging.2019.03.022Bubb E.J., Metzler-Baddeley C, Aggleton J.P. The cingulum bundle: Anatomy, function, and dysfunction. Neurosci. Biobehav. Rev. 2018;92:104–127. https://doi.org/10.1016/j.neubiorev.2018.05.008Bubb E.J., Metzler-Baddeley C, Aggleton J.P. The cingulum bundle: Anatomy, function, and dysfunction. Neurosci. Biobehav. Rev. 2018;92:104–127. https://doi.org/10.1016/j.neubiorev.2018.05.008Lebel C., Gee M., Camicioli R., Wieler M., Martin W., Beaulieu C. Diff usion tensor imaging of white matter tract evolution over the lifespan. Neuroimage. 2012;60(1):340–52. https://doi.org/10.1016/j.neuroimage.2011.11.094Lebel C., Gee M., Camicioli R., Wieler M., Martin W., Beaulieu C. Diff usion tensor imaging of white matter tract evolution over the lifespan. Neuroimage. 2012;60(1):340–52. https://doi.org/10.1016/j.neuroimage.2011.11.094Delano-Wood L., Stricker N.H., Sorg S.F., Nation D.A., Jak A.J., Woods S.P. et al. Posterior cingulum white matter disruption and its associations with verbal memory and stroke risk in mild cognitive impairment. J. Alzheimers Dis. 2012;29(3):589–603. https://doi.org/10.3233/JAD-2012-102103Delano-Wood L., Stricker N.H., Sorg S.F., Nation D.A., Jak A.J., Woods S.P. et al. Posterior cingulum white matter disruption and its associations with verbal memory and stroke risk in mild cognitive impairment. J. Alzheimers Dis. 2012;29(3):589–603. https://doi.org/10.3233/JAD-2012-102103Haque M.E., Gabr R.E., Hasan K.M., George S., Arevalo O.D., Zha A. et al. Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study. Front Neurol. 2019;10:154. https://doi.org/10.3389/fneur.2019.00154Haque M.E., Gabr R.E., Hasan K.M., George S., Arevalo O.D., Zha A. et al. Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study. Front Neurol. 2019;10:154. https://doi.org/10.3389/fneur.2019.00154Кайлева Н.А., Кулеш А.А., Горст Н.Х., Быкова А.Ю., Дробаха В.Е., Собянин К.В. и др. Роль интактного полушария в определении реабилитационного потенциала в остром периоде ишемического инсульта: диффузионно-перфузионная модель. Неврология, нейропсихиатрия, психосоматика. 2019;11(1):28–35. https://doi.org/10.14412/2074-2711-2019-1-28-35Kaileva N.A., Kulesh A.A., Gorst N.Kh., Bykova A.Yu., Drobakha V.E., Sobyanin K.V., Shardakov I.N., Shestakov V.V. Role of the intact hemisphere in determining the rehabilitation potential in the acute period of ischemic stroke: a diff usion and perfusion model. Neurology, Neuropsychiatry, Psychosomatics. 2019;11(1):28–35. (In Russian). https://doi.org/10.14412/2074-2711-2019-1-28-35Lawes I.N., Barrick T.R., Murugam V., Spierings N., Evans D.R, Song M. et al. Atlas-based segmentation of white matter tracts of the human brain using diff usion tensor tractography and comparison with classical dissection. NeuroImage. 2008;39(1):62–79. https://doi.org/10.1016/j.neuroimage.2007.06.041Lawes I.N., Barrick T.R., Murugam V., Spierings N., Evans D.R, Song M. et al. Atlas-based segmentation of white matter tracts of the human brain using diff usion tensor tractography and comparison with classical dissection. NeuroImage. 2008;39(1):62–79. https://doi.org/10.1016/j.neuroimage.2007.06.041Blom-Smink M., Verly M., Spielmann K., Smits M., Ribbers G.M., van de Sandt-Koenderman M.W.M.E. Change in Right Inferior Longitudinal Fasciculus Integrity Is Associated With Naming Recovery in Subacute Poststroke Aphasia. Neurorehabil Neural. Repair. 2020;34(9):784–794. https://doi.org/10.1177/1545968320940982Blom-Smink M., Verly M., Spielmann K., Smits M., Ribbers G.M., van de Sandt-Koenderman M.W.M.E. Change in Right Inferior Longitudinal Fasciculus Integrity Is Associated With Naming Recovery in Subacute Poststroke Aphasia. Neurorehabil Neural. Repair. 2020;34(9):784–794. https://doi.org/10.1177/1545968320940982Chen H.F., Huang L.L., Li H.Y., Qian Y., Yang D., Qing Z. et al. Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal Fasciculus contributes to WMH-related cognitive impairment. CNS Neurosci Ther. 2020;26(5):576–588. https://doi.org/10.1111/cns.13283Chen H.F., Huang L.L., Li H.Y., Qian Y., Yang D., Qing Z. et al. Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal Fasciculus contributes to WMH-related cognitive impairment. CNS Neurosci Ther. 2020;26(5):576–588. https://doi.org/10.1111/cns.13283Кулеш А.А., Дробаха В.Е., Некрасова И.В., Куклина Е.М., Шестаков В.В. Нейровоспалительные, нейродегенеративные и структурные церебральные маркеры основных клинических вариантов постинсультных когнитивных нарушений в остром периоде ишемического инсульта. Вестник Российской академии медицинских наук. 2016;71(4):304−312. https://doi.org/10.15690/vramn685Kulesh A.A., Drobakha V.E., Nekrasova I.V., Shestakov V.V., Kuklina E.M. Neuroinfl ammatory, Neurodegenerative and Structural Brain Biomarkers of the Main Types of Post-Stroke Cognitive Impairment in Acute Period of Ischemic Stroke. Annals of the Russian academy of medical sciences. 2016;71(4):304−312. (In Russian). https://doi.org/10.15690/vramn685Mandonnet E., Sarubbo S., Petit L. The Nomenclature of Human White Matter Association Pathways: Proposal for a Systematic Taxonomic Anatomical Classifi cation. Front Neuroanat. 2018;12:94. https://doi.org/10.3389/fnana.2018.00094Mandonnet E., Sarubbo S., Petit L. The Nomenclature of Human White Matter Association Pathways: Proposal for a Systematic Taxonomic Anatomical Classifi cation. Front Neuroanat. 2018;12:94. https://doi.org/10.3389/fnana.2018.00094Schmahmann J.D., Pandya D.N., Wang R., Dai G., D’Arceuil H.E., Crespigny A.J. et al. Association fi bre pathways of the brain: parallel observations from diff usion spectrum imaging and autoradiography. Brain. 2007;130(3):630–53. https://doi.org/10.1093/brain/awl359Schmahmann J.D., Pandya D.N., Wang R., Dai G., D’Arceuil H.E., Crespigny A.J. et al. Association fi bre pathways of the brain: parallel observations from diff usion spectrum imaging and autoradiography. Brain. 2007;130(3):630–53. https://doi.org/10.1093/brain/awl359Li Y., Feng F., Lin P., Huang Z.G., Liu T., Zhou B. et al. Cognitionrelated white matter integrity dysfunction in Alzheimer’s disease with diff usion tensor image. Brain Res. Bull. 2018;143:207–216. https://doi.org/10.1016/j.brainresbull.2018.09.010Li Y., Feng F., Lin P., Huang Z.G., Liu T., Zhou B. et al. Cognitionrelated white matter integrity dysfunction in Alzheimer’s disease with diff usion tensor image. Brain Res. Bull. 2018;143:207–216. https://doi.org/10.1016/j.brainresbull.2018.09.010Luo C., Li M., Qin R., Chen H., Huang L., Yang D. et al. Long Longitudinal Tract Lesion Contributes to the Progression of Alzheimer’s isease. Front Neurol. 2020;11:503235. https://doi.org/10.3389/fneur.2020.503235Luo C., Li M., Qin R., Chen H., Huang L., Yang D. et al. Long Longitudinal Tract Lesion Contributes to the Progression of Alzheimer’s isease. Front Neurol. 2020;11:503235. https://doi.org/10.3389/fneur.2020.503235

The authors declare that there are no conflicts of interest present.