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CORRECTION article

Front. Neurosci., 18 July 2017
Sec. Neuroprosthetics
This article is part of the Research Topic Closed-loop systems for next-generation neuroprostheses View all 27 articles

Corrigendum: Low Latency Estimation of Motor Intentions to Assist Reaching Movements along Multiple Sessions in Chronic Stroke Patients: A Feasibility Study

\r\nJaime Ibez,Jaime Ibáñez1,2Esther Monge-PereiraEsther Monge-Pereira3Francisco Molina-RuedaFrancisco Molina-Rueda3J. Ignacio SerranoJ. Ignacio Serrano4Maria D. del CastilloMaria D. del Castillo4Alicia Cuesta-GmezAlicia Cuesta-Gómez3María Carratal-TejadaMaría Carratalá-Tejada3Roberto Cano-de-la-CuerdaRoberto Cano-de-la-Cuerda3Isabel M. Alguacil-DiegoIsabel M. Alguacil-Diego3Juan C. Miangolarra-PageJuan C. Miangolarra-Page3Jose L. Pons*Jose L. Pons1*
  • 1Neural Rehabilitation Group, Spanish National Research Council, Cajal Institute, Madrid, Spain
  • 2Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, United Kingdom
  • 3Motion Analysis, Ergonomics, Biomechanics and Motor Control Laboratory, Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Faculty of Health Sciences, Rey Juan Carlos University, Madrid, Spain
  • 4Neural and Cognitive Engineering Group, Centro de Automática y Robótica, Universidad Politécnica de Madrid, Spanish National Research Council, Madrid, Spain

A corrigendum on
Low Latency Estimation of Motor Intentions to Assist Reaching Movements along Multiple Sessions in Chronic Stroke Patients: A Feasibility Study

by Ibáñez, J., Monge-Pereira, E., Molina-Rueda, F., Serrano, J. I., del Castillo, M. D., Cuesta-Gómez, A., et al. (2017). Front. Neurosci. 11:126. doi: 10.3389/fnins.2017.00126

In the recently published article, there were incorrect and missing contents in the Acknowledgments section, which should have read as follows.

Acknowledgments

This research has been supported in part by Grant #H2020-MSCA-IF-2015-700512 from the European Commission (JI), by Spanish Ministry of Science and Innovation, project Associate (799158449-58449-45-514) (JP), by “NeuroMOD (DPI2015-68664-C4-1-R)” (Md and JS) and by project HYPER-CSD2009-00067. We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Keywords: electroencephalography, motor-related cortical potentials, event-related desynchronization, functional electrical stimulation, stroke, neurorehabilitation

Citation: Ibáñez J, Monge-Pereira E, Molina-Rueda F, Serrano JI, Castillo MDd, Cuesta-Gómez A, Carratalá-Tejada M, Cano-de-la-Cuerda R, Alguacil-Diego IM, Miangolarra-Page JC and Pons JL (2017) Corrigendum: Low Latency Estimation of Motor Intentions to Assist Reaching Movements along Multiple Sessions in Chronic Stroke Patients: A Feasibility Study. Front. Neurosci. 11:422. doi: 10.3389/fnins.2017.00422

Received: 28 June 2017; Accepted: 05 July 2017;
Published: 18 July 2017.

Edited and reviewed by: Timothée Levi, Université de Bordeaux, France

Copyright © 2017 Ibáñez, Monge-Pereira, Molina-Rueda, Serrano, Castillo, Cuesta-Gómez, Carratalá-Tejada, Cano-de-la-Cuerda, Alguacil-Diego, Miangolarra-Page and Pons. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jose L. Pons, am9zZS5wb25zQGNzaWMuZXM=

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