ICPS
2023 International Convention of Psychological Science · 2023
Take Your Time: Individual EEG Slow Cycle Duration Predicts Fluid Intelligence
- Michał Ociepka
Jagiellonian University in Krakow, Poland - Adam Chuderski
Jagiellonian University in Krakow
Abstract
We examined if EEG power during solving an intelligence test relative to rest can predict the fluid intelligence factor (N = 153). The theta and delta band power indeed predicted intelligence but, crucially, the lower was an individual’s frequency that mostly correlated with test performance, the higher was their intelligence.
Cognitive Neuroscience