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  Predicting free choices for abstract intentions

Soon, C. S., Hanxi He, A., Bode, S., & Haynes, J.-D. (2013). Predicting free choices for abstract intentions. Proceedings of the National Academy of Sciences of the United States of America, 110(15), 6217-6222. doi:10.1073/pnas.1212218110.

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Genre: Zeitschriftenartikel

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externe Referenz:
https://www.pnas.org/doi/full/10.1073/pnas.1212218110 (Verlagsversion)
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 Urheber:
Soon, Chun Siong1, 2, 3, 4, 5, Autor           
Hanxi He, Anna2, 6, Autor
Bode, Stefan2, 5, 7, Autor           
Haynes, John-Dylan1, 2, 4, 5, 8, Autor           
Affiliations:
1Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
2Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634553              
3Neuroscience and Behavioral Disorders, Duke-National University of Singapore Graduate Medical School, Singapore, ou_persistent22              
4Department of Psychology, TU Dresden, Germany, ou_persistent22              
5Department of Neurology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
6Melbourne Medical School, University of Melbourne, Australia, ou_persistent22              
7Melbourne School of Psychological Sciences, University of Melbourne, Australia, ou_persistent22              
8Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              

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Schlagwörter: Free will; Libet; Self-paced
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2013-03-182013-04-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1073/pnas.1212218110
PMID: 23509300
PMC: PMC3625266
Anderer: Epub 2013
 Art des Abschluß: -

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Projektname : -
Grant ID : 01GQ0411
Förderprogramm : Bernstein Computational Neuroscience Program
Förderorganisation : German Federal Ministry of Education and Research (BMBF)
Projektname : -
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Förderprogramm : -
Förderorganisation : Max Planck Society (MPG)

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Titel: Proceedings of the National Academy of Sciences of the United States of America
  Andere : Proc. Natl. Acad. Sci. U. S. A.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: National Academy of Sciences
Seiten: - Band / Heft: 110 (15) Artikelnummer: - Start- / Endseite: 6217 - 6222 Identifikator: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230