EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training

被引:58
|
作者
Santarnecchi, Emiliano [1 ,2 ,3 ]
Khanna, Arjun R. [1 ]
Musaeus, Christian S. [1 ,4 ]
Benwell, Christopher S. Y. [1 ,5 ]
Davila, Paula [1 ]
Farzan, Faranak [6 ]
Matham, Santosh [7 ]
Pascual-Leone, Alvaro [1 ,8 ]
Shafi, Mouhsin M. [1 ]
机构
[1] Harvard Med Sch, Beth Israel Med Ctr, Div Cognit Neurol, Berenson Allen Ctr Noninvas Brain Stimulat, 330 Brookline Ave,West Baker 5, Boston, MA 02215 USA
[2] Univ Siena, Siena Brain Investigat & Neuromodulat Lab SiBIN, Dept Med Surg & Neurosci, Neurol & Clin Neurophysiol Sect, Siena, Italy
[3] Univ Siena, Siena Robot & Syst Lab SIRS Lab, Engn & Math Dept, Siena, Italy
[4] Univ Copenhagen, Rigshosp, Dept Neurol, Danish Dementia Res Ctr, Copenhagen, Denmark
[5] Univ Glasgow, Inst Neurosci & Psychol, Ctr Cognit Neuroimaging, Glasgow, Lanark, Scotland
[6] Univ Toronto, Temerty Ctr Therapeut Brain Intervent, Ctr Addict & Mental Hlth, Toronto, ON, Canada
[7] Honeywell Aerosp, Honeywell Labs, Redmond, WA USA
[8] Inst Univ Neurorehabil Guttmann, Badalona, Spain
基金
美国国家卫生研究院;
关键词
Fluid intelligence; Abstract reasoning; Microstates; EEG; Cognitive training; FUNCTIONAL BRAIN NETWORKS; OVERCOMING PERCEPTUAL FEATURES; FRONTAL-INTEGRATION-THEORY; SHORT-TERM-MEMORY; WORKING-MEMORY; CURRENT STIMULATION; PREFRONTAL CORTEX; NEURAL MECHANISMS; PARIETAL CORTEX; EFFICIENCY;
D O I
10.1007/s10548-017-0565-z
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:502 / 520
页数:19
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