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  Evidence for neural encoding of Bayesian surprise in human somatosensation

Ostwald, D., Spitzer, B., Guggenmos, M., Schmidt, T. T., Kiebel, S. J., & Blankenburg, F. (2012). Evidence for neural encoding of Bayesian surprise in human somatosensation. NeuroImage, 62(1), 177-188. doi:10.1016/j.neuroimage.2012.04.050.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-88E5-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-B11B-7
Genre: Journal Article

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Ostwald_2012_Evidence.pdf (Publisher version), 2MB
 
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 Creators:
Ostwald, Dirk1, 2, Author
Spitzer, Bernhard1, Author
Guggenmos, Matthias1, Author
Schmidt, Thorsten T.1, Author
Kiebel, Stefan J.1, 3, Author              
Blankenburg, Felix4, Author
Affiliations:
1Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
2School of Psychology, University of Birmingham, United Kingdom, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4Dahlem Institute for Neuroimaging of Emotion, FU Berlin, Germany, ou_persistent22              

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Free keywords: Bayesian brain hypothesis; Somatosensory mismatch response; EEG single trial modeling; Computational neuroimaging
 Abstract: Accumulating empirical evidence suggests a role of Bayesian inference and learning for shaping neural responses in auditory and visual perception. However, its relevance for somatosensory processing is unclear. In the present study we test the hypothesis that cortical somatosensory processing exhibits dynamics that are consistent with Bayesian accounts of brain function. Specifically, we investigate the cortical encoding of Bayesian surprise, a recently proposed marker of Bayesian perceptual learning, using EEG data recorded from 15 subjects. Capitalizing on a somatosensory mismatch roving paradigm, we performed computational single-trial modeling of evoked somatosensory potentials for the entire peri-stimulus time period in source space. By means of Bayesian model selection, we find that, at 140 ms post-stimulus onset, secondary somatosensory cortex represents Bayesian surprise rather than stimulus change, which is the conventional marker of EEG mismatch responses. In contrast, at 250 ms, right inferior frontal cortex indexes stimulus change. Finally, at 360 ms, our analyses indicate additional perceptual learning attributable to medial cingulate cortex. In summary, the present study provides novel evidence for anatomical-temporal/functional segregation in human somatosensory processing that is consistent with the Bayesian brain hypothesis.

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Language(s): eng - English
 Dates: 2012-04-262012-05-032012-08-01
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2012.04.050
PMID: 22579866
Other: Epub 2012
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Title: NeuroImage
  Abbreviation : Dev Cogn Neurosci
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 62 (1) Sequence Number: - Start / End Page: 177 - 188 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166