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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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Neural interfaces as tools for studying brain plasticity

Aranceta Garza, A. and Kumpulainen, S. and Canela-Repuela, M. and Boere, D. and Lopez Coronado, Juan and Garcia Egea, Teodoro and Francisco, G. E. and Contreras-Vidal, J. L. (2014) Neural interfaces as tools for studying brain plasticity. In: Emerging Therapies in Neurorehabilitation. Biosystems & Biorobotics . Springer Berlin Heidelberg, pp. 89-101. ISBN 978-3-642-38555-1

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Abstract

The restoration and rehabilitation of human movement are of great interest to the field of neural interfaces, i.e. devices that utilize neural activity to control computers, limb prosthesis or powered exoskeletons. Since motor deficits are commonly associated with spinal cord injury, brain injury, limb loss, and neurodegenerative diseases, there is a need to investigate new potential therapies to restore or rehabilitate movement in such clinical populations. While the feasibility of neural interfaces for upper and lower limbs has been demonstrated in studies in human and nonhuman primates, their use in investigating brain plasticity and neural mechanisms as result of clinical intervention has not been investigated. In this chapter, we address this gap and present examples of how neural interfaces can be deployed to study changes in cortical dynamics during motor learning that can inform about neural mechanisms.