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Specialty: Neuroscience
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Total 286 results found since Jan 2013.
Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study
Although brain-computer interface (BCI) shows promising prospects to help post-stroke patients recover their motor function, its decoding accuracy is still highly dependent on feature extraction methods. Most current feature extractors in BCI are classification-based methods, yet very few works from literature use metric learning based methods to learn representations for BCI. To circumvent this shortage, we propose a deep metric learning based method, Weighted Convolutional Siamese Network (WCSN) to learn representations from electroencephalogram (EEG) signal. This approach can enhance the decoding accuracy by learning a ...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - October 21, 2022 Category: Neuroscience Source Type: research
Monitoring Arm Movements Post-Stroke for Applications in Rehabilitation and Home Settings
Optimal recovery of arm function following stroke requires patients to perform a large number of functional arm movements in clinical therapy sessions, as well as at home. Technology to monitor adherence to this activity would be helpful to patients and clinicians. Current approaches to monitoring arm movements are limited because of challenges in distinguishing between functional and non-functional movements. Here, we present an Arm Rehabilitation Monitor (ARM), a device intended to make such measurements in an unobtrusive manner. The ARM device is based on a single Inertial Measurement Unit (IMU) worn on the wrist and us...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 2, 2022 Category: Neuroscience Source Type: research
Effects of Cerebellar Transcranial Direct Current Stimulation in Patients with Stroke: a Systematic Review
CONCLUSIONS: ctDCS appears to improve poststroke language and motor dysfunction (particularly gait). However, the evidence for these results was insufficient, and the quality of the relevant studies was low. ctDCS stimulation parameters and individual factors of participants may affect the therapeutic effect of ctDCS. Researchers need to take a more regulated approach in the future to conduct studies with large sample sizes. Overall, ctDCS remains a promising stroke intervention technique that could be used in the future.PMID:36028789 | DOI:10.1007/s12311-022-01464-7
Source: Cerebellum - August 26, 2022 Category: Neuroscience Authors: Li Hong-Yu Zhang Zhi-Jie Li Juan Xiong Ting He Wei-Chun Zhu Ning Source Type: research
Neural Mechanism Underlying Task-Specific Enhancement of Motor Learning by Concurrent Transcranial Direct Current Stimulation
AbstractThe optimal protocol for neuromodulation by transcranial direct current stimulation (tDCS) remains unclear. Using the rotarod paradigm, we found that mouse motor learning was enhanced by anodal tDCS (3.2 mA/cm2) during but not before or after the performance of a task. Dual-task experiments showed that motor learning enhancement was specific to the task accompanied by anodal tDCS. Studies using a mouse model of stroke induced by middle cerebral artery occlusion showed that concurrent anodal tDCS restored motor learning capability in a task-specific manner. Transcranialin vivo Ca2+ imaging further showed that anodal...
Source: Neuroscience Bulletin - July 30, 2022 Category: Neuroscience Source Type: research
Stroke Family Caregiver Life Changes From the COVID-19 Pandemic
CONCLUSION: Stroke family caregivers experienced both negative and positive life changes specifically as a result of the COVID-19 pandemic. Responses further indicated that COVID-19 affected most caregivers in different ways and an individualized approach is needed in dealing with caregiver life changes.
Source: Journal of Neuroscience Nursing - July 7, 2022 Category: Neuroscience Tags: Articles Source Type: research
BCI-FES With Multimodal Feedback for Motor Recovery Poststroke
In this report, we describe device parameters and intervention protocols of our BCI-FES system which, combined with standard physical rehabilitation approaches, has proven efficacious in treating UE motor impairment in stroke survivors, regardless of level of impairment and chronicity.
Source: Frontiers in Human Neuroscience - July 6, 2022 Category: Neuroscience Source Type: research
AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement
Insomnia is a common public health problem and an open biomedical research topic. Insomnia results in various health problems, including memory decline, decreases concentration and weakens problem-solving ability. The insufficient sleep also leads to skin ageing, heart disease, high blood pressure, arrhythmia and stroke. While it remains as a global health concern, sleep quality improvement using modern technologies, such as machine learning, classification technologies, virtual reality (VR), becomes an open and hot research problem. These modern technologies offer new curing solutions under certain conditions. In this pap...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 14, 2022 Category: Neuroscience Source Type: research
A Neuropsychological Rehabilitation Framework to Address Cognitive and Neurobehavioral Impairments After Strokes to the Anterior Communicating Artery
Patients with strokes to the Anterior Communicating Artery (ACoA) pose an important challenge to rehabilitation teams due to a particular mix of cognitive and behavioral impairments (anosognosia, anterograde amnesia, prospective memory problems, and executive dysfunction). These deficits often compromise engagement with rehabilitation, learning and generalization. The goal of this article is to describe the long-term presentation of a patient with an ACoA stroke (Mrs. B, a 60-year-old electric engineer) as well as her rehabilitation needs and the many challenges experienced by the rehabilitation team when attempting to fac...
Source: Frontiers in Human Neuroscience - June 10, 2022 Category: Neuroscience Source Type: research
The Allure of Big Data to Improve Stroke Outcomes: Review of Current Literature
AbstractPurpose of ReviewTo critically appraise literature on recent advances and methods using “big data” to evaluate stroke outcomes and associated factors.Recent FindingsRecent big data studies provided new evidence on the incidence of stroke outcomes, and important emerging predictors of these outcomes. Main highlights included the identification of COVID-19 infection and exposure to a low-dose particulate matter as emerging predictors of mortality post-stroke. Demographic (age, sex) and geographical (rural vs. urban) disparities in outcomes were also identified. There was a surge in methodological (e.g., machine l...
Source: Current Neurology and Neuroscience Reports - March 11, 2022 Category: Neuroscience Source Type: research
Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises
Health professionals often prescribe patients to perform specific exercises for rehabilitation of several diseases (e.g., stroke, Parkinson, backpain). When patients perform those exercises in the absence of an expert (e.g., physicians/therapists), they cannot assess the correctness of the performance. Automatic assessment of physical rehabilitation exercises aims to assign a quality score given an RGBD video of the body movement as input. Recent deep learning approaches address this problem by extracting CNN features from co-ordinate grids of skeleton data (body-joints) obtained from videos. However, they could not extrac...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 25, 2022 Category: Neuroscience Source Type: research
Progranulin promotes hippocampal neurogenesis and alleviates anxiety-like behavior and cognitive impairment in adult mice subjected to cerebral ischemia
CONCLUSIONS: Progranulin alleviates ischemia-induced anxiety-like behavior and spatial learning and memory impairment in mice, probably via stimulation of hippocampal neurogenesis mediated by activation of MAPK/ERK and PI3K/Akt pathways. PGRN might be a promising candidate for coping with ischemic stroke-induced mood and cognitive impairment in clinic.PMID:35146924 | DOI:10.1111/cns.13810
Source: CNS Neuroscience and Therapeutics - February 11, 2022 Category: Neuroscience Authors: Siqi Sun Jinlong Zhou Zhongqi Li Yuzi Wu Hao Wang Qi Zheng Frank Adu-Nti Juan Fan Yingfang Tian Source Type: research
Recent highlights in periopeative neurological disorders, from bench to bedside
CNS Neurosci Ther. 2022 Feb 11. doi: 10.1111/cns.13771. Online ahead of print.ABSTRACTPerioperative neurological disorders are important causes of postoperative disability and even perioperative death, bringing a huge challenge to the vulnerable and increasing aging population. Perioperative neurological disorders usually contain ischemic stroke, hemorrhagic stroke, and neurocognitive disorders during the perioperative period. Although a few prevention and treatment strategies have been developed for each disorder, there is still a lack of effective treatments and the underlying mechanisms are far from well-understood. Thi...
Source: CNS Neuroscience and Therapeutics - February 11, 2022 Category: Neuroscience Authors: Yunlu Guo Peiying Li Source Type: research
