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
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