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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Electroencephalographic detection of respiratory-related cortical activity in humans: from event-related approaches to continuous connectivity evaluation</title><author><name sortKey="Hudson, Anna L" sort="Hudson, Anna L" uniqKey="Hudson A" first="Anna L." last="Hudson">Anna L. Hudson</name><affiliation><nlm:aff id="aff1">Neuroscience Research Australia and University of New South Wales, Sydney, Australia;</nlm:aff></affiliation></author><author><name sortKey="Navarro Sune, Xavier" sort="Navarro Sune, Xavier" uniqKey="Navarro Sune X" first="Xavier" last="Navarro-Sune">Xavier Navarro-Sune</name><affiliation><nlm:aff id="aff2">Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Martinerie, Jacques" sort="Martinerie, Jacques" uniqKey="Martinerie J" first="Jacques" last="Martinerie">Jacques Martinerie</name><affiliation><nlm:aff id="aff3">Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Pouget, Pierre" sort="Pouget, Pierre" uniqKey="Pouget P" first="Pierre" last="Pouget">Pierre Pouget</name><affiliation><nlm:aff id="aff3">Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Raux, Mathieu" sort="Raux, Mathieu" uniqKey="Raux M" first="Mathieu" last="Raux">Mathieu Raux</name><affiliation><nlm:aff id="aff2">Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</nlm:aff></affiliation><affiliation><nlm:aff wicri:cut="; and" id="aff4">Assistance Publique-Hopitaux de Paris (AP-HP), Groupe Hospitalier Pitie-Salpêtrière-Charles Foix, Département d'Anesthésie-Réanimation, Paris, France</nlm:aff></affiliation></author><author><name sortKey="Chavez, Mario" sort="Chavez, Mario" uniqKey="Chavez M" first="Mario" last="Chavez">Mario Chavez</name><affiliation><nlm:aff id="aff3">Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Similowski, Thomas" sort="Similowski, Thomas" uniqKey="Similowski T" first="Thomas" last="Similowski">Thomas Similowski</name><affiliation><nlm:aff id="aff2">Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</nlm:aff></affiliation><affiliation><nlm:aff id="aff5">AP-HP, Groupe Hospitalier Pitie-Salpêtrière-Charles Foix, Service de Pneumologie et Réanimation Medicale, Paris, France</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26864771</idno><idno type="pmc">4869487</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869487</idno><idno type="RBID">PMC:4869487</idno><idno type="doi">10.1152/jn.01058.2015</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">001990</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001990</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Electroencephalographic detection of respiratory-related cortical activity in humans: from event-related approaches to continuous connectivity evaluation</title><author><name sortKey="Hudson, Anna L" sort="Hudson, Anna L" uniqKey="Hudson A" first="Anna L." last="Hudson">Anna L. Hudson</name><affiliation><nlm:aff id="aff1">Neuroscience Research Australia and University of New South Wales, Sydney, Australia;</nlm:aff></affiliation></author><author><name sortKey="Navarro Sune, Xavier" sort="Navarro Sune, Xavier" uniqKey="Navarro Sune X" first="Xavier" last="Navarro-Sune">Xavier Navarro-Sune</name><affiliation><nlm:aff id="aff2">Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Martinerie, Jacques" sort="Martinerie, Jacques" uniqKey="Martinerie J" first="Jacques" last="Martinerie">Jacques Martinerie</name><affiliation><nlm:aff id="aff3">Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Pouget, Pierre" sort="Pouget, Pierre" uniqKey="Pouget P" first="Pierre" last="Pouget">Pierre Pouget</name><affiliation><nlm:aff id="aff3">Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Raux, Mathieu" sort="Raux, Mathieu" uniqKey="Raux M" first="Mathieu" last="Raux">Mathieu Raux</name><affiliation><nlm:aff id="aff2">Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</nlm:aff></affiliation><affiliation><nlm:aff wicri:cut="; and" id="aff4">Assistance Publique-Hopitaux de Paris (AP-HP), Groupe Hospitalier Pitie-Salpêtrière-Charles Foix, Département d'Anesthésie-Réanimation, Paris, France</nlm:aff></affiliation></author><author><name sortKey="Chavez, Mario" sort="Chavez, Mario" uniqKey="Chavez M" first="Mario" last="Chavez">Mario Chavez</name><affiliation><nlm:aff id="aff3">Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</nlm:aff></affiliation></author><author><name sortKey="Similowski, Thomas" sort="Similowski, Thomas" uniqKey="Similowski T" first="Thomas" last="Similowski">Thomas Similowski</name><affiliation><nlm:aff id="aff2">Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</nlm:aff></affiliation><affiliation><nlm:aff id="aff5">AP-HP, Groupe Hospitalier Pitie-Salpêtrière-Charles Foix, Service de Pneumologie et Réanimation Medicale, Paris, France</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of Neurophysiology</title><idno type="ISSN">0022-3077</idno><idno type="eISSN">1522-1598</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The presence of a respiratory-related cortical activity during tidal breathing is abnormal and a hallmark of respiratory difficulties, but its detection requires superior discrimination and temporal resolution. The aim of this study was to validate a computational method using EEG covariance (or connectivity) matrices to detect a change in brain activity related to breathing. In 17 healthy subjects, EEG was recorded during resting unloaded breathing (RB), voluntary sniffs, and breathing against an inspiratory threshold load (ITL). EEG were analyzed by the specially developed covariance-based classifier, event-related potentials, and time-frequency (T-F) distributions. Nine subjects repeated the protocol. The classifier could accurately detect ITL and sniffs compared with the reference period of RB. For ITL, EEG-based detection was superior to airflow-based detection (<italic>P</italic> < 0.05). A coincident improvement in EEG-airflow correlation in ITL compared with RB (<italic>P</italic> < 0.05) confirmed that EEG detection relates to breathing. Premotor potential incidence was significantly higher before inspiration in sniffs and ITL compared with RB (<italic>P</italic> < 0.05), but T-F distributions revealed a significant difference between sniffs and RB only (<italic>P</italic> < 0.05). Intraclass correlation values ranged from poor (−0.2) to excellent (1.0). Thus, as for conventional event-related potential analysis, the covariance-based classifier can accurately predict a change in brain state related to a change in respiratory state, and given its capacity for near “real-time” detection, it is suitable to monitor the respiratory state in respiratory and critically ill patients in the development of a brain-ventilator interface.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Neurophysiol</journal-id><journal-id journal-id-type="iso-abbrev">J. Neurophysiol</journal-id><journal-id journal-id-type="hwp">jn</journal-id><journal-id journal-id-type="pmc">jn</journal-id><journal-id journal-id-type="publisher-id">JN</journal-id><journal-title-group><journal-title>Journal of Neurophysiology</journal-title></journal-title-group><issn pub-type="ppub">0022-3077</issn><issn pub-type="epub">1522-1598</issn><publisher><publisher-name>American Physiological Society</publisher-name><publisher-loc>Bethesda, MD</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26864771</article-id><article-id pub-id-type="pmc">4869487</article-id><article-id pub-id-type="publisher-id">JN-01058-2015</article-id><article-id pub-id-type="doi">10.1152/jn.01058.2015</article-id><article-categories><subj-group subj-group-type="heading"><subject>Control of Movement</subject></subj-group></article-categories><title-group><article-title>Electroencephalographic detection of respiratory-related cortical activity in humans: from event-related approaches to continuous connectivity evaluation</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Hudson</surname><given-names>Anna L.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Navarro-Sune</surname><given-names>Xavier</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Martinerie</surname><given-names>Jacques</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Pouget</surname><given-names>Pierre</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Raux</surname><given-names>Mathieu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Chavez</surname><given-names>Mario</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-2868-9279</contrib-id><name><surname>Similowski</surname><given-names>Thomas</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><aff id="aff1"><sup>1</sup>Neuroscience Research Australia and University of New South Wales, Sydney, Australia;</aff><aff id="aff2"><sup>2</sup>Sorbonne Universités, Université Pierre et Marie Curie, University of Paris 06, Institut National de la Santé et de la Recherche Médicale, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France;</aff><aff id="aff3"><sup>3</sup>Centre National de la Recherche Scientifique UMR7225 at the Institut du Cerveau et de la Moelle Épinière, Paris, France;</aff><aff id="aff4"><sup>4</sup>Assistance Publique-Hopitaux de Paris (AP-HP), Groupe Hospitalier Pitie-Salpêtrière-Charles Foix, Département d'Anesthésie-Réanimation, Paris, France; and</aff><aff id="aff5"><sup>5</sup>AP-HP, Groupe Hospitalier Pitie-Salpêtrière-Charles Foix, Service de Pneumologie et Réanimation Medicale, Paris, France</aff></contrib-group><author-notes><corresp id="cor1">Address for reprint requests and other correspondence: A. L. Hudson, <addr-line>Neuroscience Research Australia, Margarete Ainsworth Bldg., Barker St Randwick, NSW 2031 Australia</addr-line> (e-mail: <email>a.hudson@neura.edu.au</email>).</corresp></author-notes><pub-date pub-type="epub"><day>10</day><month>2</month><year>2016</year></pub-date><pub-date pub-type="ppub"><day>1</day><month>4</month><year>2016</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>4</month><year>2017</year></pub-date><pmc-comment> PMC Release delay is 12 months and
0 days and was based on the
<volume>115</volume><issue>4</issue><fpage>2214</fpage><lpage>2223</lpage><history><date date-type="received"><day>30</day><month>11</month><year>2015</year></date><date date-type="accepted"><day>3</day><month>2</month><year>2016</year></date></history><permissions><copyright-statement>Copyright © 2016 the American Physiological Society</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>American Physiological Society</copyright-holder></permissions><self-uri content-type="pdf" xlink:href="z9k00416002214.pdf"></self-uri><abstract><p>The presence of a respiratory-related cortical activity during tidal breathing is abnormal and a hallmark of respiratory difficulties, but its detection requires superior discrimination and temporal resolution. The aim of this study was to validate a computational method using EEG covariance (or connectivity) matrices to detect a change in brain activity related to breathing. In 17 healthy subjects, EEG was recorded during resting unloaded breathing (RB), voluntary sniffs, and breathing against an inspiratory threshold load (ITL). EEG were analyzed by the specially developed covariance-based classifier, event-related potentials, and time-frequency (T-F) distributions. Nine subjects repeated the protocol. The classifier could accurately detect ITL and sniffs compared with the reference period of RB. For ITL, EEG-based detection was superior to airflow-based detection (<italic>P</italic> < 0.05). A coincident improvement in EEG-airflow correlation in ITL compared with RB (<italic>P</italic> < 0.05) confirmed that EEG detection relates to breathing. Premotor potential incidence was significantly higher before inspiration in sniffs and ITL compared with RB (<italic>P</italic> < 0.05), but T-F distributions revealed a significant difference between sniffs and RB only (<italic>P</italic> < 0.05). Intraclass correlation values ranged from poor (−0.2) to excellent (1.0). Thus, as for conventional event-related potential analysis, the covariance-based classifier can accurately predict a change in brain state related to a change in respiratory state, and given its capacity for near “real-time” detection, it is suitable to monitor the respiratory state in respiratory and critically ill patients in the development of a brain-ventilator interface.</p></abstract><kwd-group><kwd>BCI</kwd><kwd>voluntary movement</kwd><kwd>mechanical ventilation</kwd><kwd>dyspnea</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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