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...

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Publicado en:BioMed Research International Vol. 2017; pp. 1 - 12
Autores principales: Carelli, Laura, Solca, Federica, Faini, Andrea, Meriggi, Paolo, Sangalli, Davide, Cipresso, Pietro, Riva, Giuseppe, Ticozzi, Nicola, Ciammola, Andrea, Silani, Vincenzo, Poletti, Barbara
Formato: review tables/charts Journal Article
Publicado: Wiley-Blackwell 8/23/2017
Acceso en línea:Ver este registro en EBSCOhost
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        10.1155/2017/1695290
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        atl: Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation.
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        au:
          Carelli, Laura
          Solca, Federica
          Faini, Andrea
          Meriggi, Paolo
          Sangalli, Davide
          Cipresso, Pietro
          Riva, Giuseppe
          Ticozzi, Nicola
          Ciammola, Andrea
          Silani, Vincenzo
          Poletti, Barbara
        affil: Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, P.le Brescia 20, 20149 Milan, Italy
      sug:
        subj:
          Brain-Computer Interfaces
          Rehabilitation
          Cognition
          Amyotrophic Lateral Sclerosis
          Nervous System Diseases
          Consciousness Disorders
      ab: 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.
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    language: English
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