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Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation
Alongside the best-known applications of brain-computer interface (BCI) technology for restoring communication abilities and controlling external devices, we present the state of the art of BCI use for cognitive assessment and training purposes. We first describe some preliminary attempts to develop...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587953/ https://www.ncbi.nlm.nih.gov/pubmed/28913349 http://dx.doi.org/10.1155/2017/1695290 |
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author | Carelli, Laura Solca, Federica Faini, Andrea Meriggi, Paolo Sangalli, Davide Cipresso, Pietro Riva, Giuseppe Ticozzi, Nicola Ciammola, Andrea Silani, Vincenzo Poletti, Barbara |
author_facet | Carelli, Laura Solca, Federica Faini, Andrea Meriggi, Paolo Sangalli, Davide Cipresso, Pietro Riva, Giuseppe Ticozzi, Nicola Ciammola, Andrea Silani, Vincenzo Poletti, Barbara |
author_sort | Carelli, Laura |
collection | PubMed |
description | Alongside the best-known applications of brain-computer interface (BCI) technology for restoring communication abilities and controlling external devices, we present the state of the art of BCI use for cognitive assessment and training purposes. We first describe some preliminary attempts to develop verbal-motor free BCI-based tests for evaluating specific or multiple cognitive domains in patients with Amyotrophic Lateral Sclerosis, disorders of consciousness, and other neurological diseases. Then we present the more heterogeneous and advanced field of BCI-based cognitive training, which has its roots in the context of neurofeedback therapy and addresses patients with neurological developmental disorders (autism spectrum disorder and attention-deficit/hyperactivity disorder), stroke patients, and elderly subjects. We discuss some advantages of BCI for both assessment and training purposes, the former concerning the possibility of longitudinally and reliably evaluating cognitive functions in patients with severe motor disabilities, the latter regarding the possibility of enhancing patients' motivation and engagement for improving neural plasticity. Finally, we discuss some present and future challenges in the BCI use for the described purposes. |
format | Online Article Text |
id | pubmed-5587953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-55879532017-09-14 Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation Carelli, Laura Solca, Federica Faini, Andrea Meriggi, Paolo Sangalli, Davide Cipresso, Pietro Riva, Giuseppe Ticozzi, Nicola Ciammola, Andrea Silani, Vincenzo Poletti, Barbara Biomed Res Int Review Article Alongside the best-known applications of brain-computer interface (BCI) technology for restoring communication abilities and controlling external devices, we present the state of the art of BCI use for cognitive assessment and training purposes. We first describe some preliminary attempts to develop verbal-motor free BCI-based tests for evaluating specific or multiple cognitive domains in patients with Amyotrophic Lateral Sclerosis, disorders of consciousness, and other neurological diseases. Then we present the more heterogeneous and advanced field of BCI-based cognitive training, which has its roots in the context of neurofeedback therapy and addresses patients with neurological developmental disorders (autism spectrum disorder and attention-deficit/hyperactivity disorder), stroke patients, and elderly subjects. We discuss some advantages of BCI for both assessment and training purposes, the former concerning the possibility of longitudinally and reliably evaluating cognitive functions in patients with severe motor disabilities, the latter regarding the possibility of enhancing patients' motivation and engagement for improving neural plasticity. Finally, we discuss some present and future challenges in the BCI use for the described purposes. Hindawi 2017 2017-08-23 /pmc/articles/PMC5587953/ /pubmed/28913349 http://dx.doi.org/10.1155/2017/1695290 Text en Copyright © 2017 Laura Carelli et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Carelli, Laura Solca, Federica Faini, Andrea Meriggi, Paolo Sangalli, Davide Cipresso, Pietro Riva, Giuseppe Ticozzi, Nicola Ciammola, Andrea Silani, Vincenzo Poletti, Barbara Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation |
title | Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation |
title_full | Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation |
title_fullStr | Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation |
title_full_unstemmed | Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation |
title_short | Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation |
title_sort | brain-computer interface for clinical purposes: cognitive assessment and rehabilitation |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587953/ https://www.ncbi.nlm.nih.gov/pubmed/28913349 http://dx.doi.org/10.1155/2017/1695290 |
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