Mind wandering in sensory cortices
- PMID: 40568043
- PMCID: PMC12172918
- DOI: 10.1016/j.ynirp.2021.100073
Mind wandering in sensory cortices
Abstract
The recent task-free approach in Cognitive Neuroscience has sparked interest in understanding the brain's default mode network (DMN). One particular mental activity that has been identified to recruit such a network is mind-wandering, which points to the functional aspect of mind-wandering as a default system. However, the phenomenological aspect of mind-wandering has been missing in the literature on brain imaging. To tackle this issue, we adopted online thought sampling while participants underwent a simple fixation task over multiple sessions in the scanner. During 10 h of scanning of each participant, over 200 mind wander episodes were labelled in each participant. With linear support vector machine classification on mind-wandering episodes with exclusive sensory content, we found that decoding accuracy in content-corresponding sensory cortices was significantly higher, indicating the neural bases of the phenomenology of mind-wandering. Unique patterns in classification were revealed in different individuals, pointing to individual variances in our phenomenal experiences.
Keywords: Mind-wandering; Phenomenology; Sensory cortices; Support vector machine.
© 2021 The Authors.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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