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  The neural representation of voluntary task-set selection in dynamic environments.

Wisniewski, D., Reverberi, C., Tusche, A., & Haynes, J.-D. (2015). The neural representation of voluntary task-set selection in dynamic environments. Cerebral Cortex, 25(12), 4715-4726. doi:10.1093/cercor/bhu155.

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Locator:
https://doi.org/10.1093/cercor/bhu155 (Publisher version)
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OA-Status:
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 Creators:
Wisniewski, David1, 2, 3, 4, Author
Reverberi, Carlo1, 5, 6, Author
Tusche, Anita1, 7, 8, Author           
Haynes, John-Dylan1, 2, 3, 4, 9, 10, 11, Author           
Affiliations:
1Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
2Berlin Center for Advanced Neuroimaging (BCAN), Charité University Medicine Berlin, Germany, ou_persistent22              
3Volition and Cognitive Control, TU Dresden, Germany, ou_persistent22              
4Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
5Department of Psychology, University of Milano–Bicocca, Italy, ou_persistent22              
6NeuroMI – Milan Center for Neuroscience, Italy, ou_persistent22              
7Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              
8Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA, ou_persistent22              
9NeuroCure Cluster of Excellence, Charité University Medicine Berlin, Germany, ou_persistent22              
10Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
11Department of Psychology, Humboldt University Berlin, Germany, ou_persistent22              

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Free keywords: fMRI; Multivariate decoding; Prefrontal cortex; Task difficulty; Task-set
 Abstract: When choosing actions, humans have to balance carefully between different task demands. On the one hand, they should perform tasks repeatedly to avoid frequent and effortful switching between different tasks. On the other hand, subjects have to retain their flexibility to adapt to changes in external task demands such as switching away from an increasingly difficult task. Here, we developed a difficulty-based choice task to investigate how subjects voluntarily select task-sets in predictably changing environments. Subjects were free to choose 1 of the 3 task-sets on a trial-by-trial basis, while the task difficulty changed dynamically over time. Subjects self-sequenced their behavior in this environment while we measured brain responses with functional magnetic resonance imaging (fMRI). Using multivariate decoding, we found that task choices were encoded in the medial prefrontal cortex (dorso-medial prefrontal cortex, dmPFC, and dorsal anterior cingulate cortex, dACC). The same regions were found to encode task difficulty, a major factor influencing choices. Importantly, the present paradigm allowed us to disentangle the neural code for task choices and task difficulty, ensuring that activation patterns in dmPFC/dACC independently encode these 2 factors. This finding provides new evidence for the importance of the dmPFC/dACC for task-selection and motivational functions in highly dynamic environments.

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Language(s): eng - English
 Dates: 2014-07-172015-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/cercor/bhu155
PMID: 25037922
Other: Epub 2014
 Degree: -

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Project name : -
Grant ID : 01GQ1001C
Funding program : Bernstein Computational Neuroscience Program
Funding organization : German Federal Ministry of Education and Research (BMBF)
Project name : -
Grant ID : Exc 257 NeuroCure; KFO247; SFB 940
Funding program : -
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : -
Funding program : -
Funding organization : Berlin School of Mind and Brain

Source 1

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Title: Cerebral Cortex
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Oxford University Press
Pages: - Volume / Issue: 25 (12) Sequence Number: - Start / End Page: 4715 - 4726 Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440