Dynamics of Dynamics within a Single Data Acquisition Session: Variation in Neocortical Alpha Oscillations in Human MEG
Identifieur interne : 001C11 ( Ncbi/Curation ); précédent : 001C10; suivant : 001C12Dynamics of Dynamics within a Single Data Acquisition Session: Variation in Neocortical Alpha Oscillations in Human MEG
Auteurs : Qian Wan [États-Unis] ; Catherine Kerr [États-Unis] ; Dominique Pritchett [États-Unis] ; Matti H M L Inen [États-Unis] ; Christopher Moore [États-Unis] ; Stephanie Jones [États-Unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2011.
Abstract
Behavioral paradigms applied during human recordings in electro- and magneto- encephalography (EEG and MEG) typically require 1–2 hours of data collection. Over this time scale, the natural fluctuations in brain state or rapid learning effects could impact measured signals, but are seldom analyzed.
We investigated within-session dynamics of neocortical alpha (7–14 Hz) rhythms and their allocation with cued-attention using MEG recorded from primary somatosensory neocortex (SI) in humans. We found that there were significant and systematic changes across a single ∼1 hour recording session in several dimensions, including increased alpha power, increased differentiation in attention-induced alpha allocation, increased distinction in immediate time-locked post-cue evoked responses in SI to different visual cues, and enhanced power in the immediate cue-locked alpha band frequency response. Further, comparison of two commonly used baseline methods showed that conclusions on the evolution of alpha dynamics across a session were dependent on the normalization method used.
These findings are important not only as they relate to studies of oscillations in SI, they also provide a robust example of the type of dynamic changes in brain measures within a single session that are overlooked in most human brain imaging/recording studies.
Url:
DOI: 10.1371/journal.pone.0024941
PubMed: 21966388
PubMed Central: 3178572
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Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Moore, Christopher" sort="Moore, Christopher" uniqKey="Moore C" first="Christopher" last="Moore">Christopher Moore</name><affiliation wicri:level="2"><nlm:aff id="aff1"><addr-line>McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Jones, Stephanie" sort="Jones, Stephanie" uniqKey="Jones S" first="Stephanie" last="Jones">Stephanie Jones</name><affiliation wicri:level="2"><nlm:aff id="aff3"><addr-line>Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Behavioral paradigms applied during human recordings in electro- and magneto- encephalography (EEG and MEG) typically require 1–2 hours of data collection. Over this time scale, the natural fluctuations in brain state or rapid learning effects could impact measured signals, but are seldom analyzed.</p></sec><sec><title>Methods and Findings</title><p>We investigated within-session dynamics of neocortical alpha (7–14 Hz) rhythms and their allocation with cued-attention using MEG recorded from primary somatosensory neocortex (SI) in humans. We found that there were significant and systematic changes across a single ∼1 hour recording session in several dimensions, including increased alpha power, increased differentiation in attention-induced alpha allocation, increased distinction in immediate time-locked post-cue evoked responses in SI to different visual cues, and enhanced power in the immediate cue-locked alpha band frequency response. Further, comparison of two commonly used baseline methods showed that conclusions on the evolution of alpha dynamics across a session were dependent on the normalization method used.</p></sec><sec><title>Conclusions</title><p>These findings are important not only as they relate to studies of oscillations in SI, they also provide a robust example of the type of dynamic changes in brain measures within a single session that are overlooked in most human brain imaging/recording studies.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Makeig, S" uniqKey="Makeig S">S Makeig</name></author><author><name sortKey="Inlow, M" uniqKey="Inlow M">M Inlow</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Jones, Sr" uniqKey="Jones S">SR Jones</name></author><author><name sortKey="Kerr, Ce" uniqKey="Kerr C">CE Kerr</name></author><author><name sortKey="Wan, Q" uniqKey="Wan Q">Q 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