A Neural Signature of the Bias Towards Self-Focus
Geisler, D. J.; Meyer, M.
Show abstract
People are remarkably self-focused, disproportionately choosing to think about themselves relative to other topics. Self-focus can be adaptive, helping individuals fulfill their needs. It can also go haywire, with maladaptive self-focus a risk and maintenance factor for internalizing disorders like depression. Yet, the drive to focus on the self remains to be fully characterized. We discovered a brain state that when spontaneously brought online during a quick mental break predicts the desire to focus on oneself just a few seconds later. In Study 1, we identified a default network neural signature from pre-trial activity that predicts multiple indicators of self-focus within our sample. In Study 2, we applied our neural signature to independent resting-state data from the Human Connectome project. We found that individuals who score high on internalizing, a form of maladaptive self-focus, similarly move in-and-out of this pattern during rest, suggesting a systematic trajectory towards self-focused thought. This is the first work to "decode" the bias to focus on the self and paves the way towards stopping maladaptive self-focus in its course. Significance StatementSelf-help aisles in bookstores, the popularity of self-care culture, curating identities on social media, and the mental health crisis surrounding the rise in depression and anxiety are all symptoms of modern lifes emphasis on the self. Why are people so preoccupied with themselves? Our results suggest self-focus may emerge spontaneously because of the brain state people enter in the default network as soon as they have a mental break. The brain state participants entered in the first few seconds of rest could be used to decode whether they next chose to focus on themselves, as well as subjective and neural markers of self-focus. Moreover, internalizing, a maladaptive form of self-focus, corresponded with systematic timing of the pre-self pattern during a resting state scan, perhaps shaping the timecourse of spontaneous, self-focused thought.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Experience sampling reveals the role that covert goal states play in task-relevant behavior. 97%
- Electrophysiological resting-state signatures link polygenic scores to general intelligence 95%
- No evidence for a relationship between social closeness and similarity in resting-state functional brain connectivity in schoolchildren 95%
Similar papers in this journal
- Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study 96%
- Moving Beyond the Mean: Subgroups and dimensions of brain activity and cognitive performance across domains 96%
- Asymmetric representation of aversive prediction errors in Pavlovian threat conditioning 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.