How Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI.
Juha PajulaJussi TohkaPublished in: Comput. Intell. Neurosci. (2016)
Keyphrases
- sample size
- correlation analysis
- inter subject
- functional magnetic resonance imaging
- regression analysis
- model selection
- statistical tests
- cluster analysis
- brain activity
- factor analysis
- upper bound
- mr images
- covariance matrix
- correlation coefficient
- brain regions
- human brain
- image registration
- feature extraction
- clustering method
- cortical surface
- worst case
- image data
- cognitive states
- training data