The temporal signature of self: Temporal measures of resting‐state EEG predict self‐consciousness
Human Brain Mapping October 4, 2018 Annemarie Wolff, Daniel A. di Giovanni, Javier Gómez‐Pilar et al. 135 citations
Private self-consciousness—the tendency to focus on one's inner thoughts and feelings—is linked to specific temporal patterns in the brain's resting state activity. In an EEG study, higher scores on the Private dimension of the Self-Consciousness Scale correlated with three measures of resting state activity: a steeper power-law exponent (PLE), a longer auto-correlation window (ACW), and a stronger modulation index (MI). These temporal features reflect how self-related information is temporally nested, continuous, and integrated in spontaneous brain activity. Source localization further linked Private self-consciousness to activity in cortical midline structures, including the perigenual anterior cingulate cortex and posterior cingulate cortex. A machine learning algorithm could accurately classify individuals as having high or low Private self-consciousness based on these spatiotemporal measures.