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Spatial Regularization of Functional Connectivity Using High-Dimensional Markov Random Fields

In this paper we present a new method for spatial regularization of functional connectivity maps based on Markov Random Field (MRF) priors. The high level of noise in fMRI leads to errors in functional connectivity detection algorithms. A common approach to mitigate the effects of noise is to apply...

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Detalhes bibliográficos
Main Authors: Liu, Wei, Zhu, Peihong, Anderson, Jeffrey S., Yurgelun-Todd, Deborah, Fletcher, P. Thomas
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4214154/
https://ncbi.nlm.nih.gov/pubmed/20879336
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