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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...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4738700/ https://ncbi.nlm.nih.gov/pubmed/26884746 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2094601 |
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