EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training
The neurobiological correlates of human fluid intelligence (Gf) remain elusive. Here, we demonstrate that spatiotemporal dynamics of EEG activity correlate with baseline measures of Gf and with its modulation by cognitive training. EEG dynamics were assessed in 74 healthy participants by examination...
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| Veröffentlicht in: | Brain topography 2017-07, Vol.30 (4), p.502-520 |
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| creator | Santarnecchi, Emiliano Khanna, Arjun R. Musaeus, Christian S. Benwell, Christopher S. Y. Davila, Paula Farzan, Faranak Matham, Santosh Pascual-Leone, Alvaro Shafi, Mouhsin M. |
| description | The neurobiological correlates of human fluid intelligence (Gf) remain elusive. Here, we demonstrate that spatiotemporal dynamics of EEG activity correlate with baseline measures of Gf and with its modulation by cognitive training. EEG dynamics were assessed in 74 healthy participants by examination of fast-changing, recurring, topographically-defined electric patterns termed “microstates”, which characterize the electrophysiological activity of distributed cortical networks. We find that the frequency of appearance of specific brain topographies, spatially associated with visual (microstate B) and executive control (microstate C) networks, respectively, is inversely related to Gf scores. Moreover, changes in Gf scores with cognitive training are inversely correlated with changes in microstate properties, indicating that the changes in brain network dynamics are behaviorally relevant. Finally, we find that cognitive training that increases Gf scores results in a posterior shift in the topography of microstate C. These results highlight the role of fast-changing brain electrical states in individual variability in Gf and in the response to cognitive training. |
| doi_str_mv | 10.1007/s10548-017-0565-z |
| format | Article |
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We find that the frequency of appearance of specific brain topographies, spatially associated with visual (microstate B) and executive control (microstate C) networks, respectively, is inversely related to Gf scores. Moreover, changes in Gf scores with cognitive training are inversely correlated with changes in microstate properties, indicating that the changes in brain network dynamics are behaviorally relevant. Finally, we find that cognitive training that increases Gf scores results in a posterior shift in the topography of microstate C. These results highlight the role of fast-changing brain electrical states in individual variability in Gf and in the response to cognitive training.</description><identifier>ISSN: 0896-0267</identifier><identifier>EISSN: 1573-6792</identifier><identifier>DOI: 10.1007/s10548-017-0565-z</identifier><identifier>PMID: 28493012</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Biomedical and Life Sciences ; Biomedicine ; Brain - physiology ; Cognition ; Cognitive ability ; Cortex ; Diversity training ; EEG ; Electroencephalography - methods ; Executive function ; Executive Function - physiology ; Female ; Healthy Volunteers ; Humans ; Intelligence ; Intelligence - physiology ; Male ; Middle Aged ; Neurology ; Neurosciences ; Original Paper ; Psychiatry ; Spatio-Temporal Analysis ; Teaching ; Topography ; Visual Pathways - physiology ; Young Adult</subject><ispartof>Brain topography, 2017-07, Vol.30 (4), p.502-520</ispartof><rights>Springer Science+Business Media New York 2017</rights><rights>Brain Topography is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-8e0f6d23e823f87fa2b4913ba2722e540e28bb48880da5b1cbbd480889bdcb573</citedby><cites>FETCH-LOGICAL-c372t-8e0f6d23e823f87fa2b4913ba2722e540e28bb48880da5b1cbbd480889bdcb573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10548-017-0565-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10548-017-0565-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28493012$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Santarnecchi, Emiliano</creatorcontrib><creatorcontrib>Khanna, Arjun R.</creatorcontrib><creatorcontrib>Musaeus, Christian S.</creatorcontrib><creatorcontrib>Benwell, Christopher S. 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| subjects | Adult Biomedical and Life Sciences Biomedicine Brain - physiology Cognition Cognitive ability Cortex Diversity training EEG Electroencephalography - methods Executive function Executive Function - physiology Female Healthy Volunteers Humans Intelligence Intelligence - physiology Male Middle Aged Neurology Neurosciences Original Paper Psychiatry Spatio-Temporal Analysis Teaching Topography Visual Pathways - physiology Young Adult |
| title | EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training |
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