TY - JOUR
T1 - EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training
AU - Honeywell SHARP Team
AU - Santarnecchi, Emiliano
AU - Khanna, Arjun R.
AU - Musaeus, Christian S.
AU - Benwell, Christopher S.Y.
AU - Davila, Paula
AU - Farzan, Faranak
AU - Matham, Santosh
AU - Pascual-Leone, Alvaro
AU - Shafi, Mouhsin M.
AU - Connor, Ann
AU - Plessow, Franziska
AU - Almquist, Jessamy
AU - Dillard, Michael
AU - Orhan, Umut
AU - Mathan, Santosh
AU - McKanna, James
AU - Erdogmus, Deniz
AU - Pavel, Misha
AU - Brem, Anna Katharine
AU - Kadosh, Roi Cohen
AU - Yeung, Nick
AU - Kimball, Garrett
AU - Myers, Eben
PY - 2017/7
Y1 - 2017/7
N2 - 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.
AB - 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.
KW - Abstract reasoning
KW - Cognitive training
KW - EEG
KW - Fluid intelligence
KW - Microstates
UR - http://www.scopus.com/inward/record.url?scp=85019163187&partnerID=8YFLogxK
U2 - 10.1007/s10548-017-0565-z
DO - 10.1007/s10548-017-0565-z
M3 - Article
C2 - 28493012
AN - SCOPUS:85019163187
SN - 0896-0267
VL - 30
SP - 502
EP - 520
JO - Brain Topography
JF - Brain Topography
IS - 4
ER -
