Journal article
Neural correlates of decision making on whole body yaw rotation: An fNIRS study
Neuroscience letters, v 654, pp 56-62
27 Jul 2017
PMID: 28619260
Abstract
• Prefrontal and parietal areas are thought to orchestrate decision making.
• We investigate whether this applies to decisions on self-motion using fNIRS.
• Parietal activity predicts judgments on whole-body yaw rotation intensity.
• Results suggest parietal activity reflects modality-independent decision variables.
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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Details
- Title
- Neural correlates of decision making on whole body yaw rotation: An fNIRS study
- Creators
- K.N de Winkel - Max Planck Institute for Biological CyberneticsA Nesti - Max Planck Institute for Biological CyberneticsH Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health SystemsH.H Bülthoff - Max Planck Institute for Biological Cybernetics
- Publication Details
- Neuroscience letters, v 654, pp 56-62
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000406730200011
- Scopus ID
- 2-s2.0-85021052887
- Other Identifier
- 991014878479504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences