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Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach
Functional magnetic resonance imaging (fMRI) is one of the most widely used tools to study the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a general linear model (GLM) approach to separate stimulus induced signals from noise. Crucially, this approach relies on a...
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| Formato: | Texto |
| Lenguaje: | English |
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Frontiers Research Foundation
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3062970/ https://www.ncbi.nlm.nih.gov/pubmed/21442013 http://dx.doi.org/10.3389/fnhum.2011.00028 |