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  Neural correlates of decision making on whole body yaw rotation: an fNIRS study

de Winkel, K., Nesti, A., Ayaz, H., & Bülthoff, H. (2017). Neural correlates of decision making on whole body yaw rotation: an fNIRS study. Neuroscience Letters, 654, 56-62. doi:10.1016/j.neulet.2017.04.053.

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de Winkel, KN1, 2, 3, Author           
Nesti, A1, Author           
Ayaz, H, Author
Bülthoff, HH1, 3, 4, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
4Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              

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 Abstract: Prominent accounts of decision making state that decisions are made on the basis of an accumulation of sensory evidence, orchestrated by networks of prefrontal and parietal neural populations. Here we assess whether these findings generalize to decisions on self-motion. Participants were presented with whole body yaw rotations of different durations in a 2-Interval-Forced-Choice paradigm, and tasked to discriminate motions on the basis of their amplitude. The cortical hemodynamic response was recorded using functional near-infrared spectroscopy (fNIRS) while participants were performing the task. The imaging data was used to predict the specific response on individual experimental trials, and to predict whether the comparison stimulus would be judged larger than the reference. Classifier performance on the former variable was negligible. However, considerable performance was achieved for the latter variable, specifically using parietal imaging data. The findings provide support for the notion that activity in the parietal cortex reflects modality independent decision variables that represent the strength of the neural evidence in favor of a decision. The results are encouraging for the use of fNIRS as a method to perform neuroimaging in moving individuals.

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 Dates: 2017-07
 Publication Status: Issued
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 Identifiers: DOI: 10.1016/j.neulet.2017.04.053
BibTex Citekey: deWinkelNAB2017
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Title: Neuroscience Letters
Source Genre: Journal
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Pages: - Volume / Issue: 654 Sequence Number: - Start / End Page: 56 - 62 Identifier: -