Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments.
Identifieur interne : 000A26 ( Main/Exploration ); précédent : 000A25; suivant : 000A27Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments.
Auteurs : Joana B. Balardin [Brésil] ; Guilherme A. Zimeo Morais [Allemagne] ; Rogério A. Furucho [Brésil] ; Lucas Trambaiolli [Brésil] ; Patricia Vanzella [Brésil] ; Claudinei Biazoli [Brésil] ; João R. Sato [Brésil]Source :
- Frontiers in human neuroscience [ 1662-5161 ] ; 2017.
Abstract
Assessing the neural correlates of motor and cognitive processes under naturalistic experimentation is challenging due to the movement constraints of traditional brain imaging technologies. The recent advent of portable technologies that are less sensitive to motion artifacts such as Functional Near Infrared Spectroscopy (fNIRS) have been made possible the study of brain function in freely-moving participants. In this paper, we describe a series of proof-of-concept experiments examining the potential of fNIRS in assessing the neural correlates of cognitive and motor processes in unconstrained environments. We show illustrative applications for practicing a sport (i.e., table tennis), playing a musical instrument (i.e., piano and violin) alone or in duo and performing daily activities for many hours (i.e., continuous monitoring). Our results expand upon previous research on the feasibility and robustness of fNIRS to monitor brain hemodynamic changes in different real life settings. We believe that these preliminary results showing the flexibility and robustness of fNIRS measurements may contribute by inspiring future work in the field of applied neuroscience.
DOI: 10.3389/fnhum.2017.00258
PubMed: 28567011
PubMed Central: PMC5434677
Affiliations:
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Furucho</name><affiliation wicri:level="1"><nlm:affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo</wicri:regionArea><wicri:noRegion>Universidade Federal do ABCSão Bernardo do Campo</wicri:noRegion></affiliation></author><author><name sortKey="Trambaiolli, Lucas" sort="Trambaiolli, Lucas" uniqKey="Trambaiolli L" first="Lucas" last="Trambaiolli">Lucas Trambaiolli</name><affiliation wicri:level="1"><nlm:affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo</wicri:regionArea><wicri:noRegion>Universidade Federal do ABCSão Bernardo do Campo</wicri:noRegion></affiliation></author><author><name sortKey="Vanzella, Patricia" sort="Vanzella, Patricia" uniqKey="Vanzella P" first="Patricia" last="Vanzella">Patricia Vanzella</name><affiliation wicri:level="1"><nlm:affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo</wicri:regionArea><wicri:noRegion>Universidade Federal do ABCSão Bernardo do Campo</wicri:noRegion></affiliation></author><author><name sortKey="Biazoli, Claudinei" sort="Biazoli, Claudinei" uniqKey="Biazoli C" first="Claudinei" last="Biazoli">Claudinei Biazoli</name><affiliation wicri:level="1"><nlm:affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo</wicri:regionArea><wicri:noRegion>Universidade Federal do ABCSão Bernardo do Campo</wicri:noRegion></affiliation></author><author><name sortKey="Sato, Joao R" sort="Sato, Joao R" uniqKey="Sato J" first="João R" last="Sato">João R. Sato</name><affiliation wicri:level="1"><nlm:affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo</wicri:regionArea><wicri:noRegion>Universidade Federal do ABCSão Bernardo do Campo</wicri:noRegion></affiliation></author></analytic><series><title level="j">Frontiers in human neuroscience</title><idno type="ISSN">1662-5161</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Assessing the neural correlates of motor and cognitive processes under naturalistic experimentation is challenging due to the movement constraints of traditional brain imaging technologies. The recent advent of portable technologies that are less sensitive to motion artifacts such as Functional Near Infrared Spectroscopy (fNIRS) have been made possible the study of brain function in freely-moving participants. In this paper, we describe a series of proof-of-concept experiments examining the potential of fNIRS in assessing the neural correlates of cognitive and motor processes in unconstrained environments. We show illustrative applications for practicing a sport (i.e., table tennis), playing a musical instrument (i.e., piano and violin) alone or in duo and performing daily activities for many hours (i.e., continuous monitoring). Our results expand upon previous research on the feasibility and robustness of fNIRS to monitor brain hemodynamic changes in different real life settings. We believe that these preliminary results showing the flexibility and robustness of fNIRS measurements may contribute by inspiring future work in the field of applied neuroscience.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">28567011</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>29</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1662-5161</ISSN><JournalIssue CitedMedium="Print"><Volume>11</Volume><PubDate><Year>2017</Year></PubDate></JournalIssue><Title>Frontiers in human neuroscience</Title><ISOAbbreviation>Front Hum Neurosci</ISOAbbreviation></Journal><ArticleTitle>Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments.</ArticleTitle><Pagination><MedlinePgn>258</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fnhum.2017.00258</ELocationID><Abstract><AbstractText>Assessing the neural correlates of motor and cognitive processes under naturalistic experimentation is challenging due to the movement constraints of traditional brain imaging technologies. The recent advent of portable technologies that are less sensitive to motion artifacts such as Functional Near Infrared Spectroscopy (fNIRS) have been made possible the study of brain function in freely-moving participants. In this paper, we describe a series of proof-of-concept experiments examining the potential of fNIRS in assessing the neural correlates of cognitive and motor processes in unconstrained environments. We show illustrative applications for practicing a sport (i.e., table tennis), playing a musical instrument (i.e., piano and violin) alone or in duo and performing daily activities for many hours (i.e., continuous monitoring). Our results expand upon previous research on the feasibility and robustness of fNIRS to monitor brain hemodynamic changes in different real life settings. We believe that these preliminary results showing the flexibility and robustness of fNIRS measurements may contribute by inspiring future work in the field of applied neuroscience.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Balardin</LastName><ForeName>Joana B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Instituto do Cérebro, Hospital Israelita Albert EinsteinSão Paulo, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zimeo Morais</LastName><ForeName>Guilherme A</ForeName><Initials>GA</Initials><AffiliationInfo><Affiliation>NIRx Medizintechnik GmbHBerlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Furucho</LastName><ForeName>Rogério A</ForeName><Initials>RA</Initials><AffiliationInfo><Affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Trambaiolli</LastName><ForeName>Lucas</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vanzella</LastName><ForeName>Patricia</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Biazoli</LastName><ForeName>Claudinei</ForeName><Initials>C</Initials><Suffix>Jr</Suffix><AffiliationInfo><Affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sato</LastName><ForeName>João R</ForeName><Initials>JR</Initials><AffiliationInfo><Affiliation>Center of Mathematics Computation and Cognition, Universidade Federal do ABCSão Bernardo do Campo, Brazil.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>05</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Hum Neurosci</MedlineTA><NlmUniqueID>101477954</NlmUniqueID><ISSNLinking>1662-5161</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">brain imaging</Keyword><Keyword MajorTopicYN="N">continuous monitoring</Keyword><Keyword MajorTopicYN="N">fNIRS</Keyword><Keyword MajorTopicYN="N">hyperscanning</Keyword><Keyword MajorTopicYN="N">musicians</Keyword><Keyword MajorTopicYN="N">naturalistic experimentation</Keyword><Keyword MajorTopicYN="N">sports</Keyword><Keyword MajorTopicYN="N">wearable</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>03</Month><Day>08</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>04</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>6</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>6</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>6</Month><Day>2</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28567011</ArticleId><ArticleId 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