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P 240. Improvement of language functions in a chronic non-fluent post-stroke aphasic patient following sequential bilateral non-invasive neuromodulation by theta burst magnetic stimulation
Conclusions: Described sequential bilateral physiologically balanced TMS modulation of activation of the language related areas of both hemispheres may result in considerable and rather fast language benefits in chronic nfA patients. Whether this approach is better than usual unilateral stimulation requires further studies.
Source: Clinical Neurophysiology - September 1, 2013 Category: Neuroscience Authors: S. Filipovic, V. Stevanovic, I. Avramovic, M. Jelic, I. Avramovic, A. Jeremic, K. Kacar, S. Milanovic, L. Konstantinovic, J. Vuksanovic Tags: Society Proceedings Source Type: research

Learning from brain control: clinical application of brain–computer interfaces
In conclusion, clinical application of brain machine interfaces in well-defined and circumscribed neurological disorders have demonstrated surprisingly positive effects. The application of BCIs to psychiatric and clinical–psychological problems, however, at present did not result in substantial improvement of complex behavioral disorders.
Source: e-Neuroforum - October 6, 2015 Category: Neuroscience Source Type: research

Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance
Publication date: 1 July 2016 Source:NeuroImage, Volume 134 Author(s): G. Naros, I. Naros, F. Grimm, U. Ziemann, A. Gharabaghi Self-regulation of sensorimotor oscillations is currently researched in neurorehabilitation, e.g. for priming subsequent physiotherapy in stroke patients, and may be modulated by neurofeedback or transcranial brain stimulation. It has still to be demonstrated, however, whether and under which training conditions such brain self-regulation could also result in motor gains. Thirty-two right-handed, healthy subjects participated in a three-day intervention during which they performed 462 trials...
Source: NeuroImage - April 19, 2016 Category: Neuroscience Source Type: research

Learning from brain control: clinical application of brain –computer interfaces
In conclusion, clinical application of brain machine interfaces in well-defined and circumscribed neurological disorders have demonstrated surprisingly positive effects. The application of BCIs to psychiatric and clinical–psychological problems, however, at present did not result in substantial improvement of complex behavioral disord ers.
Source: e-Neuroforum - October 31, 2015 Category: Neuroscience Source Type: research

Brain–robot interface driven plasticity: Distributed modulation of corticospinal excitability
In conclusion, the BRI intervention induced a complex pattern of modulated corticospinal excitability, which may boost subsequent motor learning during physiotherapy. Graphical abstract
Source: NeuroImage - November 12, 2015 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

A brief review of motor imagery and bimanual coordination
Motor imagery is increasingly being used in clinical settings, such as in neurorehabilitation and brain computer interface (BCI). In stroke, patients lose upper limb function and must re-learn bimanual coordination skills necessary for the activities of daily living. Physiotherapists integrate motor imagery with physical rehabilitation to accelerate recovery. In BCIs, users are often asked to imagine a movement, often with sparse instructions. The EEG pattern that coincides with this cognitive task is captured, then used to execute an external command, such as operating a neuroprosthetic device. As such, BCIs are dependent...
Source: Frontiers in Human Neuroscience - November 11, 2022 Category: Neuroscience Source Type: research