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Specialty: Neuroscience
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Total 286 results found since Jan 2013.
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
Prediction of Communication Impairment in Children With Bilateral Cerebral Palsy Using Multivariate Lesion- and Connectome-Based Approaches: Protocol for a Multicenter Prospective Cohort Study
DiscussionThe findings of the study may lead to the development of several translational tools that can individually predict communication impairment in children newly diagnosed with BCP to ensure that these children receive early, targeted therapeutic intervention before they begin school.Trial registrationThe study has been registered with the Chinese Clinical Trial Registry (ChiCTR2100049497).
Source: Frontiers in Human Neuroscience - January 31, 2022 Category: Neuroscience Source Type: research
Evaluation of Postural Sway in Post-stroke Patients by Dynamic Time Warping Clustering
This study instead evaluates the postural sway features of post-stroke patients using the clustering method of machine learning. First, we collected the stroke patients' multi-variable motion-capture standing-posture data and processed them into t s long data slots. Then, we clustered the t-s data slots into K cluster groups using the dynamic-time-warping partition-around-medoid (DTW-PAM) method. The DTW measures the similarity between two temporal sequences that may vary in speed, whereas PAM identifies the centroids for the DTW clustering method. Finally, we used a post-hoc test and found that the sway amplitudes of mark...
Source: Frontiers in Human Neuroscience - December 3, 2021 Category: Neuroscience Source Type: research
Classification of Left-Versus Right-Hand Motor Imagery in Stroke Patients Using Supplementary Data Generated by CycleGAN
This study proposes a surrogate EEG data-generation system based on cycle-consistent adversarial networks (CycleGAN) that can expand the number of training data. This study used EEG2Image based on a modified S-transform (MST) to convert EEG data into EEG-topography. This method retains the frequency-domain characteristics and spatial information of the EEG signals. Then, the CycleGAN is used to learn and generate motor-imagery EEG data of stroke patients. From the visual inspection, there is no difference between the EEG topographies of the generated and original EEG data collected from the stroke patients. Finally, we use...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - November 26, 2021 Category: Neuroscience Source Type: research
Consensus Paper: Novel Directions and Next Steps of Non-invasive Brain Stimulation of the Cerebellum in Health and Disease
Cerebellum. 2021 Nov 23. doi: 10.1007/s12311-021-01344-6. Online ahead of print.ABSTRACTThe cerebellum is involved in multiple closed-loops circuitry which connect the cerebellar modules with the motor cortex, prefrontal, temporal, and parietal cortical areas, and contribute to motor control, cognitive processes, emotional processing, and behavior. Among them, the cerebello-thalamo-cortical pathway represents the anatomical substratum of cerebellum-motor cortex inhibition (CBI). However, the cerebellum is also connected with basal ganglia by disynaptic pathways, and cerebellar involvement in disorders commonly associated w...
Source: Cerebellum - November 23, 2021 Category: Neuroscience Authors: Mario Manto Georgios P D Argyropoulos Tommaso Bocci Pablo A Celnik Louise A Corben Matteo Guidetti Giacomo Koch Alberto Priori John C Rothwell Anna Sadnicka Danny Spampinato Yoshikazu Ugawa Maximilian J Wessel Roberta Ferrucci Source Type: research
Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors
Stroke is a leading cause of acquired long-term upper extremity motor disability. Current standard of care trajectories fail to deliver sufficient motor rehabilitation to stroke survivors. Recent research suggests that use of brain-computer interface (BCI) devices improves motor function in stroke survivors, regardless of stroke severity and chronicity, and may induce and/or facilitate neuroplastic changes associated with motor rehabilitation. The present sub analyses of ongoing crossover-controlled trial NCT02098265 examine first whether, during movements of the affected hand compared to rest, ipsilesional Mu rhythm desyn...
Source: Frontiers in Human Neuroscience - October 28, 2021 Category: Neuroscience Source Type: research
CNN-Based Prognosis of BCI Rehabilitation Using EEG From First Session BCI Training
Stroke is a world-leading disease for causing disability. Brain-computer interaction (BCI) training has been proved to be a promising method in facilitating motor recovery. However, due to differences in each patient’s neural-clinical profile, the potential of recovery for different patients can vary significantly by conducting BCI training, which remains a major problem in clinical rehabilitation practice. To address this issue, the objective of this study is to prognosticate the outcome of BCI training using motor state electroencephalographic (EEG) collected during the first session of BCI tasks, with the aim of ...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 28, 2021 Category: Neuroscience Source Type: research
Physical activity, motor performance and skill learning: a focus on primary motor cortex in healthy aging
This article will initially provide a brief overview of the neurophysiology of M1 in the context of learning motor skills, with a focus on healthy aging in humans. This information will then be proceeded by a more detailed assessment that focuses on whether physical activity benefits motor function and human M1 processes.PMID:34499187 | DOI:10.1007/s00221-021-06218-1
Source: Experimental Brain Research - September 9, 2021 Category: Neuroscience Authors: John Cirillo Source Type: research
Enhanced error facilitates motor learning in weight shift and increases use of the paretic leg during walking at chronic stage after stroke
In conclusion, applying pelvis resistance forces to increase error signals may facilitate motor learning of weight shift toward the paretic side and enhance use of the paretic leg in chronic stroke survivors. Results from this study may be utilized to develop an intervention approach to improve walking in stroke survivors.PMID:34477919 | DOI:10.1007/s00221-021-06202-9
Source: Experimental Brain Research - September 3, 2021 Category: Neuroscience Authors: Seoung Hoon Park Chao-Jung Hsu Weena Dee Elliot J Roth William Z Rymer Ming Wu Source Type: research
Intelligible Models for HealthCare: Predicting the Probability of 6-Month Unfavorable Outcome in Patients with Ischemic Stroke
AbstractEarly prediction of unfavorable outcome after ischemic stroke is significant for clinical management. Machine learning as a novel computational modeling technique could help clinicians to address the challenge. We aim to investigate the applicability of machine learning models for individualized prediction in ischemic stroke patients and demonstrate the utility of various model-agnostic explanation techniques for machine learning predictions. A total of 499 consecutive patients with Unfavorable [modified Rankin Scale (mRS) score 3 –6,n = 140] and favorable (mRS score 0–2,n = 359) outcome after 6-month f...
Source: Neuroinformatics - August 26, 2021 Category: Neuroscience Source Type: research
Quantification of Motor Function Post-Stroke Using Novel Combination of Wearable Inertial and Mechanomyographic Sensors
Subjective clinical rating scales represent the gold-standard for diagnosis of motor function following stroke. In practice however, they suffer from well-recognized limitations including assessor variance, low inter-rater reliability and low resolution. Automated systems have been proposed for empirical quantification but have not significantly impacted clinical practice. We address translational challenges in this arena through: (1) implementation of a novel sensor suite combining inertial measurement and mechanomyography (MMG) to quantify hand and wrist motor function; and (2) introduction of a new range of signal featu...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - June 25, 2021 Category: Neuroscience Source Type: research
Impairment and Compensation in Dexterous Upper-Limb Function After Stroke. From the Direct Consequences of Pyramidal Tract Lesions to Behavioral Involvement of Both Upper-Limbs in Daily Activities
Impairments in dexterous upper limb function are a significant cause of disability following stroke. While the physiological basis of movement deficits consequent to a lesion in the pyramidal tract is well demonstrated, specific mechanisms contributing to optimal recovery are less apparent. Various upper limb interventions (motor learning methods, neurostimulation techniques, robotics, virtual reality, and serious games) are associated with improvements in motor performance, but many patients continue to experience significant limitations with object handling in everyday activities. Exactly how we go about consolidating ad...
Source: Frontiers in Human Neuroscience - June 21, 2021 Category: Neuroscience Source Type: research
