NeuroImage · 2017 · 118 citations · 49 references
Life SciencesNeuroscienceCognitive NeuroscienceMotor ControlMotor NeuroscienceBrain-computer InterfacesCortical Control Of MovementElectroencephalogram AnalysisElectroencephalographyMotor CortexMovement PatternsBrain-computer Interface ClassificationBrain-computer Interface Signal AnalysisBrain-computer Interface Signal ProcessingClassification Algorithms For Brain-computer InterfacesElectroencephalogram ClassificationIntention DetectionMotor Intention DecodingMovement Intention Decoding
Using low-frequency time-domain electroencephalographic (EEG) signals we show, for the same type of upper limb movement, that goal-directed movements have different neural correlates than movements without a particular goal. In a reach-and-touch task, we explored the differences in the movement-related cortical potentials (MRCPs) between goal-directed and non-goal-directed movements. We evaluated if the detection of movement intention was influenced by the goal-directedness of the movement. In a single-trial classification procedure we found that classification accuracies are enhanced if there is a goal-directed movement in mind. Furthermore, by using the classifier patterns and estimating the corresponding brain sources, we show the importance of motor areas and the additional involvement of the posterior parietal lobule in the discrimination between goal-directed movements and non-goal-directed movements. We discuss next the potential contribution of our results on goal-directed movements to a more reliable brain-computer interface (BCI) control that facilitates recovery in spinal-cord injured or stroke end-users.
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Trends in Neurosciences · 1982 · 9.2K citations
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
François Tadel, Sylvain Baillet, John C. Mosher et al. · Computational Intelligence and Neuroscience · 2011 · 3.9K citations · Full text
Michael Henry · The Journal of the American Dental Association · 1995 · 3.4K citations