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Graph signal processing concepts are exploited for brain activity decoding and particularly the detection and recognition of a Motor Imagery (MI) movement. A novel signal analytic technique that combines Graph Fourier Transform (GFT) with estimates of cross-frequency coupling and discriminative learning is introduced as a means to recover the subject's intention from the multichannel signal. Approach. Adopting a multi-view perspective, based on the popular concept of co-existing and interacting brain rhythms, a multilayer network model is first built from empirical data and its connectivity graph is used to derive the GFT-basis. A personalized decoding scheme supporting a binary decision, either "left vs right" or "rest vs MI", is crafted from a small set of training trials. Electroencephalographic (EEG) activity from 12 volunteers recorded during two randomly alternating, externally cued, MI tasks (clenching either left or right fist) and a rest condition is used to introduce and validate our methodology. In addition, the introduced methodology was further validated based on dataset IVa of BCI III competition. Main results. Our GFT-domain decoding scheme achieves nearly optimal performance and proves superior to alternative techniques that are very popular in the field. Significance. At a conceptual level, our work suggests a fruitful way to introduce network neuroscience in BCI research. At a more practical level, it is characterized by efficiency. Training is realized using a small number of exemplar trials and decoding requires very simple operations that leaves room for real-time implementation.
This article was published in the following journal.
Name: Journal of neural engineering
Motor imagery is the mental execution of an action without any actual movement. Although numerous studies have utilized questionnaires to evaluate the vividness of motor imagery, it remains unclear wh...
Motor imagery electroencephalography (EEG) decoding is an essential part in brain-computer interfaces (BCIs) which help motor-disabled patients to communicate with the outside world by external device...
The effectiveness of motor imagery practice is known to depend on age and on the ability to form motor images. In the same individual, motor imagery quality changes during the day, being better late i...
Motor imagery training implements neural adaptation theory to improve muscle strength without physically performing muscle contractions. To date, motor imagery training research regarding the efficacy...
Motor imagery is the mental rehearsal of a movement within working memory. Reduction of spinal motor neuron excitability has been demonstrated after stroke, and motor imagery may increase spinal motor...
Motor imagery (MI) might be described as a dynamic process in which an individual mentally stimulates an action without any overt movement. After stroke, motor imagery ability is impaired ...
Motor imagery is the mental representation of movement without any body movement. According to recent studies motor imagery contains three strategies to mentally simulate the movements: in...
Motor imagery is defined as a dynamic mental process of an action, without its real motor execution. Action observation evokes an internal, real-time motor simulation of the movements that...
The main purpose of this study is to ascertain whether the application of Motor Imagery together with normal practice improves fine motor skills in disabled individuals.
This study is designed to determine the neural networks underlying the sleep-related motor consolidation process following motor imagery practice. While beneficial effects of sleep are exp...
Analysis based on the mathematical function first formulated by Jean-Baptiste-Joseph Fourier in 1807. The function, known as the Fourier transform, describes the sinusoidal pattern of any fluctuating pattern in the physical world in terms of its amplitude and its phase. It has broad applications in biomedicine, e.g., analysis of the x-ray crystallography data pivotal in identifying the double helical nature of DNA and in analysis of other molecules, including viruses, and the modified back-projection algorithm universally used in computerized tomography imaging, etc. (From Segen, The Dictionary of Modern Medicine, 1992)
The use of mental images produced by the imagination as a form of psychotherapy. It can be classified by the modality of its content: visual, verbal, auditory, olfactory, tactile, gustatory, or kinesthetic. Common themes derive from nature imagery (e.g., forests and mountains), water imagery (e.g., brooks and oceans), travel imagery, etc. Imagery is used in the treatment of mental disorders and in helping patients cope with other diseases. Imagery often forms a part of HYPNOSIS, of AUTOGENIC TRAINING, of RELAXATION TECHNIQUES, and of BEHAVIOR THERAPY. (From Encyclopedia of Human Behavior, vol. 4, pp29-30, 1994)
A spectroscopic technique in which a range of wavelengths is presented simultaneously with an interferometer and the spectrum is mathematically derived from the pattern thus obtained.
Mild or moderate loss of motor function accompanied by spasticity in the lower extremities. This condition is a manifestation of CENTRAL NERVOUS SYSTEM DISEASES that cause injury to the motor cortex or descending motor pathways.
A cellular phone with advanced computing and connectivity capability built on an operating system.