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Specialty: Neuroscience
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Total 286 results found since Jan 2013.

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition
Publication date: 13 December 2017 Source:Neurocomputing, Volume 268 Author(s): Eleni Tsironi, Pablo Barros, Cornelius Weber, Stefan Wermter In this research, we analyze a Convolutional Long Short-Term Memory Recurrent Neural Network (CNNLSTM) in the context of gesture recognition. CNNLSTMs are able to successfully learn gestures of varying duration and complexity. For this reason, we analyze the architecture by presenting a qualitative evaluation of the model, based on the visualization of the internal representations of the convolutional layers and on the examination of the temporal classification outputs at a frame lev...
Source: Neurocomputing - September 1, 2017 Category: Neuroscience Source Type: research

On the Adaptation of Pelvic Motion by Applying 3-dimensional Guidance Forces Using TPAD
Pelvic movement is important to human locomotion as the center of mass is located near the center of pelvis. Lateral pelvic motion plays a crucial role to shift the center of mass on the stance leg, while swinging the other leg and keeping the body balanced. In addition, vertical pelvic movement helps to reduce metabolic energy expenditure by exchanging potential and kinetic energy during the gait cycle. However, patient groups with cerebral palsy or stroke have excessive pelvic motion that leads to high energy expenditure. In addition, they have higher chances of falls as the center ofmass could deviate outside the base o...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 1, 2017 Category: Neuroscience Source Type: research

P 68 Novel control concepts and motor re-learning strategy in neurorehabilitation – practically-oriented approach
Persons suffering from functional impairment, due to cerebral palsy, stroke, or Parkinson ’s, often have not reached their full potential for recovery which often is a reason for injures and loss of life due to fall. Motor skill learning and retention of motor skills can be enhanced if a patient assumes control over practice conditions, e.g. timing of exercise instructions and feedback . In our study, we follow a novel conceptual framework (Despotova and Kiriazov, 2015) for optimal control learning of goal-directed motion tasks, like reaching, standing up and walking.
Source: Clinical Neurophysiology - September 8, 2017 Category: Neuroscience Authors: D. Despotova, P. Kiriazov Tags: Poster Source Type: research

Photobiomodulation for Traumatic Brain Injury and Stroke
Abstract There is a notable lack of therapeutic alternatives for what is fast becoming a global epidemic of traumatic brain injury (TBI). Photobiomodulation (PBM) employs red or near‐infrared (NIR) light (600–1100nm) to stimulate healing, protect tissue from dying, increase mitochondrial function, improve blood flow, and tissue oxygenation. PBM can also act to reduce swelling, increase antioxidants, decrease inflammation, protect against apoptosis, and modulate microglial activation state. All these mechanisms of action strongly suggest that PBM delivered to the head should be beneficial in cases of both acute and chro...
Source: Journal of Neuroscience Research - November 13, 2017 Category: Neuroscience Authors: Michael R Hamblin Tags: REVIEW Source Type: research

Online detection of amplitude modulation of motor-related EEG desynchronization using a lock-in amplifier: Comparison with a fast Fourier transform, a continuous wavelet transform, and an autoregressive algorithm
Conclusions These results indicate that the LIA improved the detection delay, accuracy, and stability for estimating amplitude modulation of motor-related SM1-ERD. This would be beneficial for BCI paradigms to facilitate neurorehabilitation in patients with motor deficits.
Source: Journal of Neuroscience Methods - November 22, 2017 Category: Neuroscience Source Type: research

An Automated Classification of Pathological Gait Using Unobtrusive Sensing Technology
This paper integrates an unobtrusive and affordable sensing technology with machine learning methods to discriminate between healthy and pathological gait patterns as a result of stroke or acquired brain injury. A feature analysis is used to identify the role of each body part in separating pathological patterns from healthy patterns. Gait features, including the orientations of the hips and spine (trunk), shoulders and neck (upper limb), knees and ankles (lower limb), are calculated during walking based on Kinect skeletal tracking sequences. Sequences of these features during three types of walking conditions were examine...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - December 1, 2017 Category: Neuroscience Source Type: research

Rhythmic Extended Kalman Filter for Gait Rehabilitation Motion Estimation and Segmentation
This paper proposes a method to enable the use of non-intrusive, small, wearable, and wireless sensors to estimate the pose of the lower body during gait and other periodic motions and to extract objective performance measures useful for physiotherapy. The Rhythmic Extended Kalman Filter (Rhythmic-EKF) algorithm is developed to estimate the pose, learn an individualized model of periodic movement over time, and use the learned model to improve pose estimation. The proposed approach learns a canonical dynamical system model of the movement during online observation, which is used to accurately model the acceleration during ...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 1, 2018 Category: Neuroscience Source Type: research

S3-2. Rewiring of a damaged neural pathway via a neural interface induces targeted reorganization of an extensive cortical area
Regaining the function of an impaired limb is highly desirable in individuals experiencing paralysis. One possible avenue to achieve this goal is through rewiring of preserved neural structures to bridge the interrupted pathway using a brain-computer interface. Here we demonstrated that monkeys with subcortical stroke were able to learn to use an artificial cortico-muscular connection (ACMC), brain-controlled functional electrical stimulation to the hand muscles, to regain volitional control of a paralyzed hand.
Source: Clinical Neurophysiology - March 30, 2018 Category: Neuroscience Authors: Kenji Kato, Masahiro Sawada, Yukio Nishimura Source Type: research

Tert-butylhydroquinone post-treatment attenuates neonatal hypoxic-ischemic brain damage in rats
This study was undertaken to determine the neuroprotective effects and mechanisms of TBHQ post-treatment on neonatal HI brain damage. Using a neonatal HI rat model, we demonstrated that TBHQ markedly abated oxidative stress compared to the HI group, as evidenced by decreased oxidative stress indexes, enhanced Nrf2 nuclear accumulation and DNA binding activity, and up-regulated expression of Nrf2 downstream antioxidative genes. Administration of TBHQ likewise significantly suppressed reactive gliosis and release of inflammatory cytokines, and inhibited apoptosis and neuronal degeneration in the neonatal rat cerebral cortex....
Source: Neurochemistry International - April 14, 2018 Category: Neuroscience Source Type: research

S3-2. Rewiring of a damaged neural pathway via a neural interface induces targeted reorganization of an extensive cortical area
Regaining the function of an impaired limb is highly desirable in individuals experiencing paralysis. One possible avenue to achieve this goal is through rewiring of preserved neural structures to bridge the interrupted pathway using a brain-computer interface. Here we demonstrated that monkeys with subcortical stroke were able to learn to use an artificial cortico-muscular connection (ACMC), brain-controlled functional electrical stimulation to the hand muscles, to regain volitional control of a paralyzed hand.
Source: Clinical Neurophysiology - April 26, 2018 Category: Neuroscience Authors: Kenji Kato, Masahiro Sawada, Yukio Nishimura Source Type: research

Transcranial direct current stimulation (tDCS) facilitates verb learning by altering effective connectivity in the healthy brain
Publication date: Available online 17 July 2018Source: NeuroImageAuthor(s): Valentina Fiori, Lisa Kunz, Philipp Kuhnke, Paola Marangolo, Gesa HartwigsenAbstractRecent studies have shown that the left inferior frontal gyrus (IFG) plays a key role in language learning. Facilitatory stimulation over this region by means of anodal transcranial direct current stimulation (tDCS) can modulate linguistic abilities in healthy individuals and improve language performance in patients with post-stroke aphasia. Neuroimaging studies in healthy participants have suggested that anodal tDCS decreases task-related activity at the stimulated...
Source: NeuroImage - July 18, 2018 Category: Neuroscience Source Type: research

Statistical Learning Impairments as a Consequence of Stroke
Albulena Shaqiri, James Danckert, Lauren Burnett, Britt Anderson
Source: Frontiers in Human Neuroscience - August 28, 2018 Category: Neuroscience Source Type: research

Co-Administration of Progesterone and Melatonin Attenuates Ischemia-Induced Hippocampal Damage in Rats
AbstractStroke is the second leading reason for death worldwide and is one of the fundamental causes of long-term disabilities. The aim of this investigation was to assess the impact of combined administration progesterone (PROG) and melatonin (MEL) on stroke complications. Male Wistar rats (9 –10 weeks) weighing 250–300 g were used as a part of this examination. They were randomly separated into eight groups (nine rats for every group). Common carotid arteries on the two sides clamped (BCCAO model) with non-traumatic clips for 20 min. At that point, the rats were treated with 8 m g/kg PROG, 10 mg/kg MEL, and vehi...
Source: Journal of Molecular Neuroscience - September 4, 2018 Category: Neuroscience Source Type: research

Inhibition of protease-activated receptor 1 ameliorates behavioral deficits and restores hippocampal synaptic plasticity in a rat model of status epilepticus
Publication date: Available online 1 November 2018Source: Neuroscience LettersAuthor(s): Marharyta Semenikhina, Ruslan Bogovyk, Mykhailo Fedoriuk, Oksana Nikolaienko, Lina T. AlKury, Alina Savotchenko, Oleg Krishtal, Elena IsaevaAbstractThe blood-brain barrier (BBB) is a unique structure that controls substances exchange between the systemic circulation and the brain. Disruption of its integrity contributes to the development and progression of a variety of brain disorders including stroke, epilepsy and neurodegenerative diseases. It was shown that intracerebral thrombin level substantially increases following status epile...
Source: Neuroscience Letters - November 2, 2018 Category: Neuroscience Source Type: research