Cargando…

How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study

OBJECTIVE: Clinical assessment of consciousness relies on behavioural assessments, which have several limitations. Hence, disorder of consciousness (DOC) patients are often misdiagnosed. In this work, we aimed to compare the repetitive assessment of consciousness performed with a clinical behavioura...

Descripción completa

Detalles Bibliográficos
Autores principales: Spataro, Rossella, Xu, Yiyan, Xu, Ren, Mandalà, Giorgio, Allison, Brendan Z., Ortner, Rupert, Heilinger, Alexander, La Bella, Vincenzo, Guger, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404379/
https://www.ncbi.nlm.nih.gov/pubmed/36033632
http://dx.doi.org/10.3389/fnins.2022.959339
_version_ 1784773624920539136
author Spataro, Rossella
Xu, Yiyan
Xu, Ren
Mandalà, Giorgio
Allison, Brendan Z.
Ortner, Rupert
Heilinger, Alexander
La Bella, Vincenzo
Guger, Christoph
author_facet Spataro, Rossella
Xu, Yiyan
Xu, Ren
Mandalà, Giorgio
Allison, Brendan Z.
Ortner, Rupert
Heilinger, Alexander
La Bella, Vincenzo
Guger, Christoph
author_sort Spataro, Rossella
collection PubMed
description OBJECTIVE: Clinical assessment of consciousness relies on behavioural assessments, which have several limitations. Hence, disorder of consciousness (DOC) patients are often misdiagnosed. In this work, we aimed to compare the repetitive assessment of consciousness performed with a clinical behavioural and a Brain-Computer Interface (BCI) approach. MATERIALS AND METHODS: For 7 weeks, sixteen DOC patients participated in weekly evaluations using both the Coma Recovery Scale-Revised (CRS-R) and a vibrotactile P300 BCI paradigm. To use the BCI, patients had to perform an active mental task that required detecting specific stimuli while ignoring other stimuli. We analysed the reliability and the efficacy in the detection of command following resulting from the two methodologies. RESULTS: Over repetitive administrations, the BCI paradigm detected command following before the CRS-R in seven patients. Four clinically unresponsive patients consistently showed command following during the BCI assessments. CONCLUSION: Brain-Computer Interface active paradigms might contribute to the evaluation of the level of consciousness, increasing the diagnostic precision of the clinical bedside approach. SIGNIFICANCE: The integration of different diagnostic methods leads to a better knowledge and care for the DOC.
format Online
Article
Text
id pubmed-9404379
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-94043792022-08-26 How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study Spataro, Rossella Xu, Yiyan Xu, Ren Mandalà, Giorgio Allison, Brendan Z. Ortner, Rupert Heilinger, Alexander La Bella, Vincenzo Guger, Christoph Front Neurosci Neuroscience OBJECTIVE: Clinical assessment of consciousness relies on behavioural assessments, which have several limitations. Hence, disorder of consciousness (DOC) patients are often misdiagnosed. In this work, we aimed to compare the repetitive assessment of consciousness performed with a clinical behavioural and a Brain-Computer Interface (BCI) approach. MATERIALS AND METHODS: For 7 weeks, sixteen DOC patients participated in weekly evaluations using both the Coma Recovery Scale-Revised (CRS-R) and a vibrotactile P300 BCI paradigm. To use the BCI, patients had to perform an active mental task that required detecting specific stimuli while ignoring other stimuli. We analysed the reliability and the efficacy in the detection of command following resulting from the two methodologies. RESULTS: Over repetitive administrations, the BCI paradigm detected command following before the CRS-R in seven patients. Four clinically unresponsive patients consistently showed command following during the BCI assessments. CONCLUSION: Brain-Computer Interface active paradigms might contribute to the evaluation of the level of consciousness, increasing the diagnostic precision of the clinical bedside approach. SIGNIFICANCE: The integration of different diagnostic methods leads to a better knowledge and care for the DOC. Frontiers Media S.A. 2022-08-11 /pmc/articles/PMC9404379/ /pubmed/36033632 http://dx.doi.org/10.3389/fnins.2022.959339 Text en Copyright © 2022 Spataro, Xu, Xu, Mandalà, Allison, Ortner, Heilinger, La Bella and Guger. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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.
spellingShingle Neuroscience
Spataro, Rossella
Xu, Yiyan
Xu, Ren
Mandalà, Giorgio
Allison, Brendan Z.
Ortner, Rupert
Heilinger, Alexander
La Bella, Vincenzo
Guger, Christoph
How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study
title How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study
title_full How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study
title_fullStr How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study
title_full_unstemmed How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study
title_short How brain-computer interface technology may improve the diagnosis of the disorders of consciousness: A comparative study
title_sort how brain-computer interface technology may improve the diagnosis of the disorders of consciousness: a comparative study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404379/
https://www.ncbi.nlm.nih.gov/pubmed/36033632
http://dx.doi.org/10.3389/fnins.2022.959339
work_keys_str_mv AT spatarorossella howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT xuyiyan howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT xuren howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT mandalagiorgio howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT allisonbrendanz howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT ortnerrupert howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT heilingeralexander howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT labellavincenzo howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy
AT gugerchristoph howbraincomputerinterfacetechnologymayimprovethediagnosisofthedisordersofconsciousnessacomparativestudy