Abstract
This functional magnetic resonance imaging (fMRI) study aimed to distinguish neural activation associated with competition and collaboration using multivoxel pattern analysis (MVPA). For each participant, a searchlight-based MVPA was applied to select informative voxels within training data. The support vector machine with a radial basis function kernel was used to obtain classification accuracy of the informative regions. As a result, within-individual maximum classification performance for the test data reached maximally 94.6%. Important regions classifying competition and collaboration were mainly found within prefrontal cortex (e.g., superior/middle frontal gyri) and visual area (e.g., calcarine sulcus and lingual gyrus). Furthermore, visual regions and dorsolateral prefrontal regions showed average accuracy around 70% across participants. In short, neural contribution during competition or collaboration was characterized as differences in multivoxel pattern with a high accuracy.
Original language | English |
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Title of host publication | 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9781479974948 |
DOIs | |
Publication status | Published - 2015 Mar 30 |
Event | 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of Duration: 2015 Jan 12 → 2015 Jan 14 |
Other
Other | 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
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Country/Territory | Korea, Republic of |
City | Gangwon-Do |
Period | 15/1/12 → 15/1/14 |
Keywords
- collaboration
- competition
- Functional magnetic resonance imaging
- multivoxel pattern analysis
- searchlight analysis
- support vector machine
ASJC Scopus subject areas
- Human-Computer Interaction
- Cognitive Neuroscience
- Sensory Systems