Abstract
Our muscles are the primary means through which we affect the external world, and the sense of agency (SoA) over the action through those muscles is fundamental to our self-awareness. However, SoA research to date has focused almost exclusively on agency over action outcomes rather than over the musculature itself, as it was believed that SoA over the musculature could not be manipulated directly. Drawing on methods from human–computer interaction and adaptive experimentation, we use human-in-the-loop Bayesian optimization to tune the timing of electrical muscle stimulation so as to robustly elicit a SoA over electrically actuated muscle movements in male and female human subjects. We use time-resolved decoding of subjects' EEG to estimate the time course of neural activity which predicts reported agency on a trial-by-trial basis. Like paradigms which assess SoA over action consequences, we found that the late (post-conscious) neural activity predicts SoA. Unlike typical paradigms, however, we also find patterns of early (sensorimotor) activity with distinct temporal dynamics predicts agency over muscle movements, suggesting that the “neural correlates of agency” may depend on the level of abstraction (i.e., direct sensorimotor feedback versus downstream consequences) most relevant to a given agency judgment. Moreover, fractal analysis of the EEG suggests that SoA-contingent dynamics of neural activity may modulate the sensitivity of the motor system to external input.SIGNIFICANCE STATEMENTThe sense of agency, the feeling of “I did that,” when directing one's own musculature is a core feature of human experience. We show that we can robustly manipulate the sense of agency over electrically actuated muscle movements, and we investigate the time course of neural activity that predicts the sense of agency over these actuated movements. We find evidence of two distinct neural processes: a transient sequence of patterns that begins in the early sensorineural response to muscle stimulation and a later, sustained signature of agency. These results shed light on the neural mechanisms by which we experience our movements as volitional.
Funder
National Science Foundation
Reference78 articles.
1. Neural Substrates of Body Ownership and Agency during Voluntary Movement
2. Appelhoff S , Hurst A , Lawrence A , Li A , Mantilla R , Yorguin J , O'Reilly C , Xiang L , Dancker J (2022) PyPREP: a Python implementation of the preprocessing pipeline (PREP) for EEG data. https://doi.org/10.5281/zenodo.6363575
3. The PREP pipeline: standardized preprocessing for large-scale EEG analysis
4. Pyro: deep universal probabilistic programming;Bingham;J Mach Learn Res,2019
5. Why canʼt you tickle yourself?
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