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Research Article

Predicting free choices for abstract intentions

Chun Siong Soon, Anna Hanxi He, Stefan Bode, and John-Dylan Haynes
  1. aBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany;
  2. bMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany;
  3. cNeuroscience and Behavioral Disorders, Duke-National University of Singapore Graduate Medical School, Singapore 169857;
  4. dDepartment of Psychology, Technical University Dresden, 01069 Dresden, Germany;
  5. eDepartment of Neurology, Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany;
  6. fMelbourne Medical School, and
  7. gMelbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia; and
  8. hGraduate School of Mind and Brain, Charité-Universitätsmedizin Berlin, 10099 Berlin, Germany

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PNAS April 9, 2013 110 (15) 6217-6222; https://doi.org/10.1073/pnas.1212218110
Chun Siong Soon
aBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany;
bMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany;
cNeuroscience and Behavioral Disorders, Duke-National University of Singapore Graduate Medical School, Singapore 169857;
dDepartment of Psychology, Technical University Dresden, 01069 Dresden, Germany;
eDepartment of Neurology, Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany;
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  • For correspondence: [email protected] [email protected]
Anna Hanxi He
bMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany;
fMelbourne Medical School, and
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Stefan Bode
bMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany;
eDepartment of Neurology, Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany;
gMelbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC 3010, Australia; and
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John-Dylan Haynes
aBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany;
bMax Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany;
dDepartment of Psychology, Technical University Dresden, 01069 Dresden, Germany;
eDepartment of Neurology, Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany;
hGraduate School of Mind and Brain, Charité-Universitätsmedizin Berlin, 10099 Berlin, Germany
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  • For correspondence: [email protected] [email protected]
  1. Edited by Marcus E. Raichle, Washington University in St. Louis, MO, and approved February 22, 2013 (received for review July 19, 2012)

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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.

  • free will
  • Libet
  • self-paced

Footnotes

  • ↵1To whom correspondence may be addressed. E-mail: chunsiong.soon{at}duke-nus.edu.sg or haynes{at}bccn-berlin.de.
  • Author contributions: C.S.S., A.H.H., S.B., and J.-D.H. designed research; C.S.S., A.H.H., and S.B. performed research; C.S.S. and J.-D.H. contributed new reagents/analytic tools; C.S.S., A.H.H., and S.B. analyzed data; and C.S.S., A.H.H., S.B., and J.-D.H. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1212218110/-/DCSupplemental.

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Decoding abstract intentions
Chun Siong Soon, Anna Hanxi He, Stefan Bode, John-Dylan Haynes
Proceedings of the National Academy of Sciences Apr 2013, 110 (15) 6217-6222; DOI: 10.1073/pnas.1212218110

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Decoding abstract intentions
Chun Siong Soon, Anna Hanxi He, Stefan Bode, John-Dylan Haynes
Proceedings of the National Academy of Sciences Apr 2013, 110 (15) 6217-6222; DOI: 10.1073/pnas.1212218110
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