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Tiffany Corbet

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Related publications (6)

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Brain-machine interfaces (BMI) based on motor imagery (MI) have emerged as a promising approach to enhance motor skills and restore motor functions. However, the efficacy and efficiency of BMI systems remain limited. The current lack of usability can be ex ...

EPFL2019

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Motor recovery following stroke is believed to necessitate alteration in functional connectivity between cortex and muscle. Cortico-muscular coherence has been proposed as a potential biomarker for post-stroke motor deficits, enabling a quantification of r ...

2019

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

José del Rocio Millán Ruiz, Hua Zhang, Robert Leeb, Inaki Asier Iturrate Gil, Serafeim Perdikis, Andrea Biasiucci, Tiffany Corbet, Thomas Schmidlin, Dragana Viceic

Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals into intended movements of the paralyzed limb. However, the efficacy and mechanisms of BCI-based therapies remain unclear. Here we show that BCI coupled to functio ...

2018

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Motor imagery (MI) has been largely studied as a way to enhance motor learning and to restore motor functions. Although it is agreed that users should emphasize kinesthetic imagery during MI, recordings of MI brain patterns are not sufficiently reliable fo ...

2018

Human EEG reveals distinct neural correlates of power and precision grasping types

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil, Michael Eric Anthony Pereira, Huaijian Zhang, Tiffany Corbet

Hand grasping is a sophisticated motor task that has received much attention by the neuroscientific community, which demonstrated how grasping activates a network involving parietal, pre-motor and motor cortices using fMRI, ECoG, LFPs and spiking activity. ...

2018

Neurofeedback training of motor cortex activations with brain-computer interface systems can enhance recovery in stroke patients. Here we propose a new approach which trains resting-state functional connectivity associated with motor performance instead of ...

2015