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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Detalles Bibliográficos
Autores principales: Pajula, Juha, Tohka, Jussi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
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

Internet

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

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