Spatial–temporal modelling of fMRI data through spatially regularized mixture of hidden process models

Previous work investigated a range of spatio-temporal constraints for fMRI data analysis to provide robust detection of neural activation. We present a mixture-based method for the spatio-temporal modelling of fMRI data. This approach assumes that fMRI time series are generated by a probabilistic su...

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Detalles Bibliográficos
Autores principales: Shen, Yuan, Mayhew, Stephen D., Kourtzi, Zoe, Tiňo, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066951/
https://www.ncbi.nlm.nih.gov/pubmed/24041873
http://dx.doi.org/10.1016/j.neuroimage.2013.09.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4066951/
https://www.ncbi.nlm.nih.gov/pubmed/24041873
http://dx.doi.org/10.1016/j.neuroimage.2013.09.003

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