Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG
Identifieur interne : 000067 ( Main/Exploration ); précédent : 000066; suivant : 000068Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG
Auteurs : James A. O'Sullivan [Irlande (pays)] ; Alan J. Power [Irlande (pays), Royaume-Uni] ; Nima Mesgarani [États-Unis] ; Siddharth Rajaram [États-Unis] ; John J. Foxe [États-Unis] ; Barbara G. Shinn-Cunningham [États-Unis] ; Malcolm Slaney [États-Unis] ; Shihab A. Shamma [États-Unis] ; Edmund C. Lalor [Irlande (pays)]Source :
- Cerebral Cortex (New York, NY) [ 1047-3211 ] ; 2014.
Abstract
How humans solve the cocktail party problem remains unknown. However, progress has been made recently thanks to the realization that cortical activity tracks the amplitude envelope of speech. This has led to the development of regression methods for studying the neurophysiology of continuous speech. One such method, known as stimulus-reconstruction, has been successfully utilized with cortical surface recordings and magnetoencephalography (MEG). However, the former is invasive and gives a relatively restricted view of processing along the auditory hierarchy, whereas the latter is expensive and rare. Thus it would be extremely useful for research in many populations if stimulus-reconstruction was effective using electroencephalography (EEG), a widely available and inexpensive technology. Here we show that single-trial (≈60 s) unaveraged EEG data can be decoded to determine attentional selection in a naturalistic multispeaker environment. Furthermore, we show a significant correlation between our EEG-based measure of attention and performance on a high-level attention task. In addition, by attempting to decode attention at individual latencies, we identify neural processing at ∼200 ms as being critical for solving the cocktail party problem. These findings open up new avenues for studying the ongoing dynamics of cognition using EEG and for developing effective and natural brain–computer interfaces.
Url:
DOI: 10.1093/cercor/bht355
PubMed: 24429136
PubMed Central: 4481604
Affiliations:
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O'Sullivan</name><affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>School of Engineering</addr-line>,<institution>Trinity Centre for Bioengineering and Trinity College Institute of Neuroscience, Trinity College Dublin</institution>,<addr-line>Dublin 2</addr-line>,<country>Ireland</country></nlm:aff><country xml:lang="fr">Irlande (pays)</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Power, Alan J" sort="Power, Alan J" uniqKey="Power A" first="Alan J." last="Power">Alan J. Power</name><affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>School of Engineering</addr-line>,<institution>Trinity Centre for Bioengineering and Trinity College Institute of Neuroscience, Trinity College Dublin</institution>,<addr-line>Dublin 2</addr-line>,<country>Ireland</country></nlm:aff><country xml:lang="fr">Irlande (pays)</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="af2"><addr-line>Department of Psychology, Centre for Neuroscience in Education</addr-line>,<institution>University of Cambridge</institution>,<addr-line>Cambridge</addr-line>,<country>UK</country></nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Mesgarani, Nima" sort="Mesgarani, Nima" uniqKey="Mesgarani N" first="Nima" last="Mesgarani">Nima Mesgarani</name><affiliation><nlm:aff id="af3"><addr-line>Department of Neurological Surgery</addr-line></nlm:aff></affiliation><affiliation wicri:level="1"><nlm:aff id="af4"><addr-line>Department of Physiology, UCSF Center for Integrative Neuroscience</addr-line>,<institution>University of California</institution>,<addr-line>San Francisco, CA 94143</addr-line>,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Rajaram, Siddharth" sort="Rajaram, Siddharth" uniqKey="Rajaram S" first="Siddharth" last="Rajaram">Siddharth Rajaram</name><affiliation wicri:level="1"><nlm:aff id="af5"><addr-line>The Center for Computational Neuroscience and Neural Technology</addr-line>,<institution>Boston University</institution>,<addr-line>Boston, MA 02215</addr-line>,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Foxe, John J" sort="Foxe, John J" uniqKey="Foxe J" first="John J." last="Foxe">John J. Foxe</name><affiliation wicri:level="1"><nlm:aff id="af6"><addr-line>The Sheryl and Daniel R. Tishman Cognitive Neurophysiology Laboratory, Children's Evaluation and Rehabilitation Center, Departments of Pediatrics and Neuroscience</addr-line>,<institution>Albert Einstein College of Medicine</institution>,<addr-line>Bronx, NY 10461</addr-line>,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Shinn Cunningham, Barbara G" sort="Shinn Cunningham, Barbara G" uniqKey="Shinn Cunningham B" first="Barbara G." last="Shinn-Cunningham">Barbara G. Shinn-Cunningham</name><affiliation wicri:level="1"><nlm:aff id="af5"><addr-line>The Center for Computational Neuroscience and Neural Technology</addr-line>,<institution>Boston University</institution>,<addr-line>Boston, MA 02215</addr-line>,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Slaney, Malcolm" sort="Slaney, Malcolm" uniqKey="Slaney M" first="Malcolm" last="Slaney">Malcolm Slaney</name><affiliation wicri:level="1"><nlm:aff id="af7"><institution>Microsoft Research</institution>,<addr-line>Mountain View, CA 94043</addr-line>,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Shamma, Shihab A" sort="Shamma, Shihab A" uniqKey="Shamma S" first="Shihab A." last="Shamma">Shihab A. Shamma</name><affiliation wicri:level="1"><nlm:aff id="af8"><institution>Institute for Systems Research</institution>,<institution>University of Maryland</institution>,<addr-line>College Park, MD 20742</addr-line>,<country>USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Lalor, Edmund C" sort="Lalor, Edmund C" uniqKey="Lalor E" first="Edmund C." last="Lalor">Edmund C. Lalor</name><affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>School of Engineering</addr-line>,<institution>Trinity Centre for Bioengineering and Trinity College Institute of Neuroscience, Trinity College Dublin</institution>,<addr-line>Dublin 2</addr-line>,<country>Ireland</country></nlm:aff><country xml:lang="fr">Irlande (pays)</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></analytic><series><title level="j">Cerebral Cortex (New York, NY)</title><idno type="ISSN">1047-3211</idno><idno type="eISSN">1460-2199</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>How humans solve the cocktail party problem remains unknown. However, progress has been made recently thanks to the realization that cortical activity tracks the amplitude envelope of speech. This has led to the development of regression methods for studying the neurophysiology of continuous speech. One such method, known as stimulus-reconstruction, has been successfully utilized with cortical surface recordings and magnetoencephalography (MEG). However, the former is invasive and gives a relatively restricted view of processing along the auditory hierarchy, whereas the latter is expensive and rare. Thus it would be extremely useful for research in many populations if stimulus-reconstruction was effective using electroencephalography (EEG), a widely available and inexpensive technology. Here we show that single-trial (≈60 s) unaveraged EEG data can be decoded to determine attentional selection in a naturalistic multispeaker environment. Furthermore, we show a significant correlation between our EEG-based measure of attention and performance on a high-level attention task. In addition, by attempting to decode attention at individual latencies, we identify neural processing at ∼200 ms as being critical for solving the cocktail party problem. These findings open up new avenues for studying the ongoing dynamics of cognition using EEG and for developing effective and natural brain–computer interfaces.</p></div></front></TEI><affiliations><list><country><li>Irlande (pays)</li><li>Royaume-Uni</li><li>États-Unis</li></country></list><tree><country name="Irlande (pays)"><noRegion><name sortKey="O Sullivan, James A" sort="O Sullivan, James A" uniqKey="O Sullivan J" first="James A." last="O'Sullivan">James A. O'Sullivan</name></noRegion><name sortKey="Lalor, Edmund C" sort="Lalor, Edmund C" uniqKey="Lalor E" first="Edmund C." last="Lalor">Edmund C. Lalor</name><name sortKey="Power, Alan J" sort="Power, Alan J" uniqKey="Power A" first="Alan J." last="Power">Alan J. Power</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Power, Alan J" sort="Power, Alan J" uniqKey="Power A" first="Alan J." last="Power">Alan J. Power</name></noRegion></country><country name="États-Unis"><noRegion><name sortKey="Mesgarani, Nima" sort="Mesgarani, Nima" uniqKey="Mesgarani N" first="Nima" last="Mesgarani">Nima Mesgarani</name></noRegion><name sortKey="Foxe, John J" sort="Foxe, John J" uniqKey="Foxe J" first="John J." last="Foxe">John J. Foxe</name><name sortKey="Rajaram, Siddharth" sort="Rajaram, Siddharth" uniqKey="Rajaram S" first="Siddharth" last="Rajaram">Siddharth Rajaram</name><name sortKey="Shamma, Shihab A" sort="Shamma, Shihab A" uniqKey="Shamma S" first="Shihab A." last="Shamma">Shihab A. Shamma</name><name sortKey="Shinn Cunningham, Barbara G" sort="Shinn Cunningham, Barbara G" uniqKey="Shinn Cunningham B" first="Barbara G." last="Shinn-Cunningham">Barbara G. Shinn-Cunningham</name><name sortKey="Slaney, Malcolm" sort="Slaney, Malcolm" uniqKey="Slaney M" first="Malcolm" last="Slaney">Malcolm Slaney</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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