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How Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI
Inter-subject correlation (ISC) is a widely used method for analyzing functional magnetic resonance imaging (fMRI) data acquired during naturalistic stimuli. A challenge in ISC analysis is to define the required sample size in the way that the results are reliable. We studied the effect of the sampl...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi Publishing Corporation
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738700/ https://www.ncbi.nlm.nih.gov/pubmed/26884746 http://dx.doi.org/10.1155/2016/2094601 |