The prognosis for post-stroke aphasia

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

doi:10.17116/jnevro20181184120-29

Cited by 5 publications

(2 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…По данным исследователей, значительный эффект от проводимой восстановительной терапии (психолого-коррекционные занятия в сочетании с медикаментозной терапией) наблюдается лишь у 24% больных [4,5]. На прогноз восстановления речи после инсульта влияют инициальная тяжесть речевых нарушений, возраст, выраженность неврологического дефицита по шкале Национального института здравоохранения США (National Institutes of Health Stroke scale, NIHSS), степени неречевых нарушений высших функций, локализация и размеры очага поражения [3,5].…”

Section: обоснованиеunclassified

Rehabilitation of patients with post-stroke aphasia using transcranial direct current electrical stimulation (tDCS)

Белопасова

Kadykov

Berdnikovitch

et al. 2022

Physical and rehabilitation medicine, medical rehabilitation

View full text Add to dashboard Cite

BACKGROUND: Rehabilitation of patients with post-stroke aphasia is an important medical and social goal. The use of traditional methods of rehabilitation is often not effective enough, which forces us to look for new methods aimed at restoring lost functions. AIM: The aim of this study is to determine the effectiveness of non-invasive brain stimulation using transcranial direct electric current stimulation (tDCS) in patients with post-stroke aphasia. MATERIALS AND METHODS: 28 patients with motor post-stroke aphasia were examined according to the method of L.S. Tsvetkova with co-authors. All patients received a traditional rehabilitation complex: psychological and correctional classes with a speech therapist-aphasiologist; neurometabolic therapy. 14 patients (Group I) additionally had transcranial direct electric current stimulation; 14 patients had placebo transcranial direct electric current stimulation. RESULTS: All patients with post-stroke aphasia showed an improvement in expressive and impressive speech, however, in patients who had true transcranial direct electric current stimulation, the improvement in expressive and impressive speech was higher than in patients who had placebo transcranial direct electric current stimulation. There were no complications from the use of transcranial direct electric current stimulation. CONCLUSION: Based on the results of the study, it can be concluded that it is expedient to include the non-invasive transcranial direct electric current stimulation method in the rehabilitation of patients with post-stroke aphasia.

show abstract

Section: обоснованиеunclassified

Rehabilitation of patients with post-stroke aphasia using transcranial direct current electrical stimulation (tDCS)

Белопасова

Kadykov

Berdnikovitch

et al. 2022

Physical and rehabilitation medicine, medical rehabilitation

View full text Add to dashboard Cite

show abstract

“…Due to prevalence and consequences of the stroke, it falls into the category of socially significant diseases and remains the leading cause of disability in the adult population [1][2][3]. New specific therapy methods, such as thrombolysis and complex neuroprotection don't yet allow to significantly reduce the high post-stroke disability which is observed in 80% of stroke survivors cases.…”

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

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.

show abstract

Relationship between sex and age characteristics, comorbid status, and dynamics of recovery in the acute period of stroke in patients living in the Arkhangelsk region

Chernykh,

Khasanova,

Karyakin

et al. 2024

Physical and rehabilitation medicine, medical rehabilitation

View full text Add to dashboard Cite

Background: The global burden of stroke continues to rise and is the third leading cause of disability worldwide. The factors influencing the dynamics of recovery and functional outcome in the acute period of stroke remain not fully understood. Aims: to study the relationship between gender-age characteristics, comorbid status and the dynamics of the functional state in the acute period of stroke in patients living in the Arkhangelsk region. Materials and methods: A retrospective cohort study was conducted. We assessed the gender-age structure of patients, functional status (FS) according to the NIHSS and mRS scales at the admission to the hospital and discharge, and its dynamics during the hospitalization period. We analyzed the relationship between FS and gender-age characteristics, type of stroke, and concomitant diseases. The dynamics of recovery were assessed using the rate of decline in NIHSS and mRs points. Results: We analyzed the treatment results of 1617 patients with stroke (mean age 63.8±11.4 years) discharged from the neurological department in 2017-2020, 968 men, 649 women. It was revealed that women were more disabled initially (p0.001), but the dynamics of recovery in the acute period of stroke were better than in men. With increasing age, the rate of decline in scores on rating scales decreased. The best dynamics of recovery were demonstrated by patients with atherothrombotic and lacunar types of stroke, patients with cardioembolic stroke recovered the slowest. High comorbidity burden was associated with poor functional outcome. Independent associations were identified between the presence of atrial fibrillation (AF), cerebral atherosclerosis (CA), chronic heart failure (CHF) and a higher mRs score at the admission. At the time of discharge, AF, CHF, arterial hypertension (AH) and coronary heart disease (CHD) were independently associated with high mRs scores, and the presence of CA was associated with lower mRs scores. Conclusions: women recovered better, despite greater disability upon admission. Age and comorbidity burden served as reasons limiting the rate of recovery. AF, CHF, CHD and AH were the main comorbid problems associated with worse functional outcome at discharge. The results obtained can be used to predict early functional outcome in patients with stroke.

show abstract

The prognosis for post-stroke aphasia

Cited by 5 publications

References 48 publications

Rehabilitation of patients with post-stroke aphasia using transcranial direct current electrical stimulation (tDCS)

Rehabilitation of patients with post-stroke aphasia using transcranial direct current electrical stimulation (tDCS)

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

Relationship between sex and age characteristics, comorbid status, and dynamics of recovery in the acute period of stroke in patients living in the Arkhangelsk region

Contact Info

Product

Resources

About