On-single thoughts were associated with significantly higher alpha peak frequency sliding (p=0.003) and lower theta peak frequency sliding (p=0.039) compared to off-multiple thoughts.
Observational (n=40)
Effect estimate: t = 2.964
p-value: p=0.003
Our thoughts are highly dynamic in their contents. At some points, our thoughts are related to external stimuli or tasks focusing on single content (on-single thoughts), While in other moments, they are drifting away with multiple simultaneous items as contents (off-multiple thoughts). Can such thought dynamics be tracked by corresponding neurodynamics? To address this question, here we track thought dynamics during post-stimulus periods by electroencephalogram (EEG) neurodynamics of alpha and theta peak frequency which, as based on the phase angle, must be distinguished from non-phase-based alpha and theta power. We show how, on the psychological level, on-off thoughts are highly predictive of single-multiple thought contents, respectively. Using EEG, on-single and off-multiple thoughts are mediated by opposite changes in the time courses of alpha (high in on-single but low in off-multiple thoughts) and theta (low in on-single but high in off-multiple thoughts) peak frequencies. In contrast, they cannot be distinguished by frequency power. Overall, these findings provide insight into how alpha and theta peak frequency with their phase-related processes track on- and off-thoughts dynamically. In short, neurodynamics track thought dynamics.
Hua et al. (Mon,) conducted a observational in Healthy adults (mind-wandering) (n=40). On-single thoughts vs. Off-multiple thoughts was evaluated on Alpha peak frequency sliding (FS) (t = 2.964, p=0.003). On-single thoughts were associated with significantly higher alpha peak frequency sliding (p=0.003) and lower theta peak frequency sliding (p=0.039) compared to off-multiple thoughts.