EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training
Autor: | Santarnecchi, Emiliano, Khanna, Arjun R., Musaeus, Christian S., Benwell, Christopher S. Y., Davila, Paula, Farzan, Faranak, Matham, Santosh, Pascual-Leone, Alvaro, Shafi, Mouhsin M., Connor, Ann, Plessow, Franziska, Almquist, Jessamy, Dillard, Michael, Orhan, Umut, Mathan, Santosh, Mckanna, James, Erdogmus, Deniz, Pavel, Misha, Brem, Anna-Katharine, Kadosh, Roi Cohen, Yeung, Nick, Kimball, Garrett, Myers, Eben |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Adult
Male Microstates medicine.medical_specialty Neurology Intelligence Electroencephalography Fluid intelligence Abstract reasoning 050105 experimental psychology Developmental psychology Executive Function Young Adult 03 medical and health sciences Cognition Spatio-Temporal Analysis 0302 clinical medicine Ministate Nuclear Medicine and Imaging medicine Humans Visual Pathways 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging EEG Brain network Cognitive training Anatomy Radiological and Ultrasound Technology Radiology Nuclear Medicine and Imaging Neurology (clinical) medicine.diagnostic_test Teaching 05 social sciences Brain Middle Aged Healthy Volunteers Electrophysiology Eeg activity Female sense organs Psychology Radiology Neuroscience 030217 neurology & neurosurgery |
Popis: | 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. |
Databáze: | OpenAIRE |
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