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РецензированоEN2023

CLINICAL AND NEUROIMAGING TECHNIQUES IN PREDICTION OF REGRESS OF MOTOR DEFICIENCY AFTER CEREBRAL STROKE FOR PREVENTION OF FALLS

МАВЛЯНОВА Зилола Фархадовна · АХМАДЕЕВА Лейла Ринатовна · ГИЗАТУЛЛИН Ринат Раисович · БАЙКОВ Денис Энверович · ХАРИСОВА Эльвира Муллануровна

Статьи · 2023

Аннотация

Since disorders of motor system are the most common cause of disability and falls in patients after stroke, an important issue was and remains the prediction of recovery of motor functions after a stroke. Various authors in their works write that the initial state of motor disorders of the upper limb is the most influential predictor of recovery of the upper limb. Early prediction of motor recovery is difficult, especially in patients with severe initial impairment, and the degree of corticospinal tract (CST) injury may be associated with motor outcomes in these patients. Neuronal plasticity is closely related to the integrity of the CST, and poor motor outcome is expected in cases of extensive CST impairment registered by magnetic resonance imaging (MRI). This review will consider several clinical scales that are used by the community to assess the regression of motor deficits.

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«Since disorders of motor system are the most common cause of disability and falls in patients after stroke, an important issue was and remains the prediction of recovery of motor functions after a stroke.»

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Since disorders of motor system are the most common cause of disability and falls in patients after stroke, an important issue was and remains the prediction of recovery of motor functions after a stroke. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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