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Brain Topogr. 2017 Jul;30(4):502-520. doi: 10.1007/s10548-017-0565-z. Epub 2017 May 10.

EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training.

Author information

1
Berenson-Allen Center for Non-Invasive Brain Stimulation, Division of Cognitive Neurology, Beth Israel Medical Center, Harvard Medical School, 330 Brookline Ave, West/Baker 5, Boston, MA, 02215, USA.
2
Siena-Brain Investigation & Neuromodulation Lab (SiBIN), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Siena, Italy.
3
Siena Robotics and Systems Lab (SIRS-Lab), Engineering and Mathematics Department, University of Siena, Siena, Italy.
4
Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
5
Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, UK.
6
Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada.
7
Honeywell Labs, Honeywell Aerospace, Redmond, WA, USA.
8
Institut Universitari de Neurorehabilitacio Guttmann, Badalona, Barcelona, Spain.
9
Berenson-Allen Center for Non-Invasive Brain Stimulation, Division of Cognitive Neurology, Beth Israel Medical Center, Harvard Medical School, 330 Brookline Ave, West/Baker 5, Boston, MA, 02215, USA. mouhsin.shafi@gmail.com.

Abstract

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.

KEYWORDS:

Abstract reasoning; Cognitive training; EEG; Fluid intelligence; Microstates

PMID:
28493012
DOI:
10.1007/s10548-017-0565-z
[Indexed for MEDLINE]

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