Regression of post-stroke aphasia and associated non-speech syndromes caused by a course of restorative treatment including intensive speech therapy

Shklovskij, V M; Алферова, В. В.; Ivanova, E.G.; Mayorova, L. A.; Petrushevsky, A. G.; Ivanov, G V; Kuptsova, S. V.; Kondrateva, Ekaterina; Guekht, Alla

doi:10.17116/jnevro201811811120

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…At the Center of Pathology of Speech and Neurorehabilitation, patients who had their first ischemic stroke were examined. The leading risk factors in all cases were associated with cardiovascular system diseases, while, as a rule, a combination of several risk factors was noted [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Modeling and Correlation Analysis of Brain Plasticity Mechanisms in Stroke Patients

I.V.¹,

Mayorova²,

V.V.³

et al. 2019

IJISA

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The aim of this research is the study of pathogenic signs, prognostically significant for the outcome of the disease and restoration of impaired functions at various stages of recovery after a stroke. This work describes a new method of applying a group of artificial neural network algorithms for each of the criteria and for each period of rehabilitation, and it is aimed at analyzing the structural and functional support of motor and higher cognitive functions, including speech and language as well as brain plasticity after ischemic stroke. The functional magnetic resonance imaging (fMRI, DTI) and clinical data machine learning algorithms were used. Self-organizing Kohonen and probabilistic neural network-based models with different structures and parameters were developed and applied for each criterion for periods of 3, 6, and 12 months of rehabilitation. For correlation analyses and modeling additional classifiers, we used: Decision Tree (DT), Support Vector Machine (SUM), k-Nearest Neighbor (KNN) clustering, and Logistic Regression (LR). In the performance evaluation, sensitivity, specificity, accuracy, error rate, and f-measure were used. The using of clinical parameters and mathematical modeling for analysis of brain plasticity mechanisms in stroke patients allowed in some cases to predict cognitive functions within the accuracy of 85-97%. Moreover, it is shown that the functional systems is represented by various brain structures, its synchronous activity and structural connectivity ensures the rapid and most complete restoration of motor and higher cognitive functions, including speech and language (effective post-stroke plasticity of the brain) after a course of neurorehabilitation.

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Section: Introductionmentioning

confidence: 99%

Neural Network Modeling and Correlation Analysis of Brain Plasticity Mechanisms in Stroke Patients

I.V.¹,

Mayorova²,

V.V.³

et al. 2019

IJISA

View full text Add to dashboard Cite

show abstract

“…O estudo foi realizado com 123 pacientes com AVCi agudo, divididos em dois grupos, um submetido a 45 minutos de intervenção diária, durante 21 dias consecutivos, e outro grupo que não recebeu fonoterapia durante este período. Os autores concluíram queShklovskij et al (2018) analisaram indicadores clínicos relacionados a eficácia terapêutica de um programa de reabilitação de afasia. O estudo incluiu 40 sujeitos com afasia.…”

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Terapia fonoaudiológica intensiva: influência na qualidade de vida e no grau de depressão de pessoas com afasia e na sobrecarga de seus cuidadores/familiares

Favoretto¹

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Regression of post-stroke aphasia and associated non-speech syndromes caused by a course of restorative treatment including intensive speech therapy

Cited by 2 publications

References 33 publications

Neural Network Modeling and Correlation Analysis of Brain Plasticity Mechanisms in Stroke Patients

Neural Network Modeling and Correlation Analysis of Brain Plasticity Mechanisms in Stroke Patients

Terapia fonoaudiológica intensiva: influência na qualidade de vida e no grau de depressão de pessoas com afasia e na sobrecarga de seus cuidadores/familiares

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