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Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control

Overview of attention for article published in Frontiers in Neuroengineering, July 2014
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Title
Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control
Published in
Frontiers in Neuroengineering, July 2014
DOI 10.3389/fneng.2014.00020
Pubmed ID
Authors

Ian Daly, Josef Faller, Reinhold Scherer, Catherine M. Sweeney-Reed, Slawomir J. Nasuto, Martin Billinger, Gernot R. Müller-Putz

Abstract

Cerebral palsy (CP) includes a broad range of disorders, which can result in impairment of posture and movement control. Brain-computer interfaces (BCIs) have been proposed as assistive devices for individuals with CP. Better understanding of the neural processing underlying motor control in affected individuals could lead to more targeted BCI rehabilitation and treatment options. We have explored well-known neural correlates of movement, including event-related desynchronization (ERD), phase synchrony, and a recently-introduced measure of phase dynamics, in participants with CP and healthy control participants. Although present, significantly less ERD and phase locking were found in the group with CP. Additionally, inter-group differences in phase dynamics were also significant. Taken together these findings suggest that users with CP exhibit lower levels of motor cortex activation during motor imagery, as reflected in lower levels of ongoing mu suppression and less functional connectivity. These differences indicate that development of BCIs for individuals with CP may pose additional challenges beyond those faced in providing BCIs to healthy individuals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 2%
Austria 2 2%
Hungary 1 <1%
Switzerland 1 <1%
France 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 101 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 17%
Researcher 18 16%
Student > Bachelor 14 13%
Student > Master 13 12%
Student > Postgraduate 7 6%
Other 23 21%
Unknown 16 15%
Readers by discipline Count As %
Neuroscience 22 20%
Engineering 21 19%
Medicine and Dentistry 10 9%
Agricultural and Biological Sciences 9 8%
Computer Science 9 8%
Other 21 19%
Unknown 18 16%