Please use this identifier to cite or link to this item: https://doi.org/10.1073/pnas.1212218110
Title: Predicting free choices for abstract intentions
Authors: Soon, C.S. 
He, A.H.
Bode, S.
Haynes, J.-D.
Keywords: Free will
Libet
Self-paced
Issue Date: 9-Apr-2013
Citation: Soon, C.S., He, A.H., Bode, S., Haynes, J.-D. (2013-04-09). Predicting free choices for abstract intentions. Proceedings of the National Academy of Sciences of the United States of America 110 (15) : 6217-6222. ScholarBank@NUS Repository. https://doi.org/10.1073/pnas.1212218110
Abstract: Unconscious neural activity has been repeatedly shown to precede and potentially even influence subsequent free decisions. However, to date, such findings have been mostly restricted to simple motor choices, and despite considerable debate, there is no evidence that the outcome of more complex free decisions can be predicted from prior brain signals. Here, we show that the outcome of a free decision to either add or subtract numbers can already be decoded from neural activity in medial prefrontal and parietal cortex 4 s before the participant reports they are consciously making their choice. These choice-predictive signals co-occurred with the so-called default mode brain activity pattern that was still dominant at the time when the choice-predictive signals occurred. Our results suggest that unconscious preparation of free choices is not restricted to motor preparation. Instead, decisions at multiple scales of abstraction evolve from the dynamics of preceding brain activity.
Source Title: Proceedings of the National Academy of Sciences of the United States of America
URI: http://scholarbank.nus.edu.sg/handle/10635/126534
ISSN: 00278424
DOI: 10.1073/pnas.1212218110
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