Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges | Zendy

Vincent Perlbarg | Zendy; Guillaume Marrelec | Zendy

Open Access

Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges

Author(s) -

Vincent Perlbarg,

Guillaume Marrelec

Publication year - 2008

Publication title -

international journal of biomedical imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.626

H-Index - 41

eISSN - 1687-4196

pISSN - 1687-4188

DOI - 10.1155/2008/218519

Subject(s) - computer science , functional magnetic resonance imaging , scale (ratio) , set (abstract data type) , functional connectivity , data science , blood oxygen level dependent , exploratory analysis , data mining , neuroscience , psychology , cartography , programming language , geography

A large-scale brain network can be defined as a set of segregated and integrated regions, that is, distant regions that share strong anatomical connections and functional interactions. Data-driven investigation of such networks has recently received a great deal of attention in blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI). We here review the rationale for such an investigation, the methods used, the results obtained, and also discuss some issues that have to be faced for an efficient exploration.

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