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Specialty: Neurology
Education: Learning

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Total 1309 results found since Jan 2013.

Myoelectric Arm Orthosis in Motor Learning-Based Therapy for Chronic Deficits After Stroke and Traumatic Brain Injury
ConclusionsUse of MyoPro in motor learning-based therapy resulted in clinically significant gains with a relatively short duration of in-person treatment. Further studies are warranted.Clinical Trial Registrationwww.ClinicalTrials.gov, identifier: NCT03215771.
Source: Frontiers in Neurology - February 8, 2022 Category: Neurology Source Type: research

Maternal Stroke Associated With Pregnancy
This article summarizes current knowledge of the epidemiology, pathophysiology, prevention, and treatment of cerebrovascular disease in pregnant and postpartum women. RECENT FINDINGS Stroke is a leading cause of maternal morbidity and mortality, and most fatal strokes are preventable. Adaptive physiologic changes of pregnancy, including hemodynamic changes, venous stasis, hypercoagulability, and immunomodulation, contribute to increased maternal stroke risk. The highest-risk time period for maternal stroke is the immediate postpartum period. Migraine and hypertensive disorders of pregnancy, including gestational hyp...
Source: CONTINUUM: Lifelong Learning in Neurology - February 1, 2022 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

U-net Models Based on Computed Tomography Perfusion Predict Tissue Outcome in Patients with Different Reperfusion Patterns
AbstractEvaluation of cerebral perfusion is important for treatment selection in patients with acute large vessel occlusion (LVO). To assess ischemic core and tissue at risk more accurately, we developed a deep learning model named U-net using computed tomography perfusion (CTP) images. A total of 110 acute ischemic stroke patients undergoing endovascular treatment with major reperfusion ( ≥ 80%) or minimal reperfusion (≤ 20%) were included. Using baseline CTP, we developed two U-net models: one model in major reperfusion group to identify infarct core; the other in minimal reperfusion group to identify tissue at r...
Source: Translational Stroke Research - January 19, 2022 Category: Neurology Source Type: research

Time metrics in acute ischemic stroke care during the second and first wave of COVID 19 Pandemic: A tertiary care center experience from South India.
This study shares our experience in stroke time metrics during the second wave of pandemic compared to the first wave.
Source: Journal of Stroke and Cerebrovascular Diseases - January 13, 2022 Category: Neurology Authors: Dileep Ramachandran, Praveen Panicker, P Chitra, Thomas Iype Source Type: research

Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms
Conclusions: DAMS and R-DAMS, as prediction-driven decision support tools, were designed to aid clinical decision-making for mild stroke patients in emergency contexts. In addition, even within a narrow range of baseline scores, NIHSS on admission is the strongest feature that contributed to the prediction.
Source: Frontiers in Neurology - December 23, 2021 Category: Neurology Source Type: research

The Construction of a Risk Prediction Model Based on Neural Network for Pre-operative Acute Ischemic Stroke in Acute Type A Aortic Dissection Patients
Conclusion: The established risk prediction model based on the deep neural network method may have the big potential to evaluate the risk of pre-operative AIS in patients with ATAAD.
Source: Frontiers in Neurology - December 23, 2021 Category: Neurology Source Type: research

Machine Learning Models Prognosticate Functional Outcomes Better than Clinical Scores in Spontaneous Intracerebral Haemorrhage
Spontaneous intracerebral haemorrhage (SICH) was associated with an overall incidence of 24.6 per 100,000 person-years worldwide and was most common in Asians, with an incidence of 51.8 per 100,000 person-years.1 SICH is a major cause of mortality and morbidity, with a case fatality of 40.4% at one month, one-year mortality rate of 54.0% and only 12 to 39% of patients leading an independent life on follow up.1,2 Current management for SICH remains supportive, and includes outcome prediction and rehabilitation.
Source: Journal of Stroke and Cerebrovascular Diseases - December 10, 2021 Category: Neurology Authors: Mervyn Jun Rui Lim, Raphael Hao Chong Quek, Kai Jie Ng, Ne-Hooi Will Loh, Sein Lwin, Kejia Teo, Vincent Diong Weng Nga, Tseng Tsai Yeo, Mehul Motani Source Type: research

Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
This article provides an overview of machine learning technology and a tabulated review of pertinent machine learning studies related to stroke diagnosis and outcome prediction.
Source: Frontiers in Neurology - December 6, 2021 Category: Neurology Source Type: research

Machine Learning-Based Model for Predicting Incidence and Severity of Acute Ischemic Stroke in Anterior Circulation Large Vessel Occlusion
Conclusions: Machine learning methods with multiple clinical variables have the ability to predict acute ischemic stroke and the severity of neurological impairment in patients with AC-LVO.
Source: Frontiers in Neurology - December 2, 2021 Category: Neurology Source Type: research

Language and Aphasias
This article reveals how it is possible for a brain composed of 100 billion highly interconnected, lipid-encased, reticular electrochemical devices to support complex functions such as language and how language disorders can be understood as a reflection of degradation of one or more domains of knowledge. RECENT FINDINGS Ongoing research, building on landmark work regarding parallel distributed processing (PDP), provides the basis for understanding cognitive functions as a manifestation of the activity of populations of millions or billions of neurons in various highly interconnected networks. Population encoding ne...
Source: CONTINUUM: Lifelong Learning in Neurology - December 1, 2021 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

Spatial Neglect and Anosognosia After Right Brain Stroke
This article guides neurologists’ assessment of right brain cognitive disorders and describes how to efficiently assemble and direct a treatment team to address spatial neglect and unawareness of deficit.
Source: CONTINUUM: Lifelong Learning in Neurology - December 1, 2021 Category: Neurology Tags: REVIEW ARTICLES Source Type: research

Cerebral Venous Thrombosis Mimicking Acute Ischemic Stroke in the Emergency Assessment of Thrombolysis Eligibility: Learning from a Misdiagnosed Case
CONCLUSION: Patients with CVT have a higher risk of thrombolysis-related intracranial hemorrhage than other stroke mimics. A greater focus on noncontrast brain CT and the venous phase of CT angiography help identifying this stroke mimic before thrombolysis.PMID:34841501
Source: Acta Neurologica Taiwanica - November 29, 2021 Category: Neurology Authors: Po-Yu Lin Ying-Chen Chen Yuan-Ting Sun Source Type: research