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      Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

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          Abstract

          Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke patients when applied over a large number of sessions. Here we evaluated the effect and the underlying mechanisms of three BCI training sessions in a double-blind sham-controlled design. The applied BCI is based on Hebbian principles of associativity that hypothesize that neural assemblies activated in a correlated manner will strengthen synaptic connections. Twenty-two chronic stroke patients were divided into two training groups. Movement-related cortical potentials (MRCPs) were detected by electroencephalography during repetitions of foot dorsiflexion. Detection triggered a single electrical stimulation of the common peroneal nerve timed so that the resulting afferent volley arrived at the peak negative phase of the MRCP (BCI associative group) or randomly (BCI nonassociative group). Fugl-Meyer motor assessment (FM), 10-m walking speed, foot and hand tapping frequency, diffusion tensor imaging (DTI) data, and the excitability of the corticospinal tract to the target muscle [tibialis anterior (TA)] were quantified. The TA motor evoked potential (MEP) increased significantly after the BCI associative intervention, but not for the BCI nonassociative group. FM scores (0.8 ± 0.46 point difference, P = 0.01), foot (but not finger) tapping frequency, and 10-m walking speed improved significantly for the BCI associative group, indicating clinically relevant improvements. Corticospinal tract integrity on DTI did not correlate with clinical or physiological changes. For the BCI as applied here, the precise coupling between the brain command and the afferent signal was imperative for the behavioral, clinical, and neurophysiological changes reported. This association may become the driving principle for the design of BCI rehabilitation in the future. Indeed, no available BCIs can match this degree of functional improvement with such a short intervention.

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          Author and article information

          Journal
          J Neurophysiol
          J. Neurophysiol
          jn
          jn
          JN
          Journal of Neurophysiology
          American Physiological Society (Bethesda, MD )
          0022-3077
          1522-1598
          30 December 2015
          1 March 2016
          1 March 2017
          : 115
          : 3
          : 1410-1421
          Affiliations
          [1] 1Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark;
          [2] 2Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University, Göttingen, Germany;
          [3] 3Neurology Clinic, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia;
          [4] 4Innovation Center, School of Electrical Engineering (ICEF), Belgrade, Serbia; and
          [5] 5Neuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
          Author notes
          Address for reprint requests and other correspondence: N. Mrachacz-Kersting, Center for Sensory-Motor Interaction (SMI), Dept. of Health Science and Technology, Aalborg Univ., Fredrik Bajers Vej 7 D3, 9220 Aalborg Ø, Denmark (e-mail: nm@ 123456hst.aau.dk ).
          Author information
          http://orcid.org/0000-0003-1579-3114
          http://orcid.org/0000-0001-8752-7224
          Article
          PMC4808132 PMC4808132 4808132 JN-00918-2015
          10.1152/jn.00918.2015
          4808132
          26719088
          b2622435-d65c-464b-8e82-016abf48c393
          Copyright © 2016 the American Physiological Society
          History
          : 29 September 2015
          : 18 December 2015
          Funding
          Funded by: Danish Agency for Science and Technology
          Award ID: na
          Funded by: EU project BETTER
          Award ID: 247935
          Funded by: MESTD of Serbia
          Award ID: 159070
          Categories
          Control of Movement

          brain-computer interface,Hebb,stroke,associativity,neuroplasticity

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