Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges
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-de...
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Format: | Article |
Language: | English |
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Wiley
2008-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2008/218519 |
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author | V. Perlbarg G. Marrelec |
author_facet | V. Perlbarg G. Marrelec |
author_sort | V. Perlbarg |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-2a36718e8e9d4c8ea3c3e09644c936a5 |
institution | Kabale University |
issn | 1687-4188 1687-4196 |
language | English |
publishDate | 2008-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Biomedical Imaging |
spelling | doaj-art-2a36718e8e9d4c8ea3c3e09644c936a52025-02-03T01:27:50ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962008-01-01200810.1155/2008/218519218519Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and ChallengesV. Perlbarg0G. Marrelec1U678, Inserm, Paris 75013, FranceU678, Inserm, Paris 75013, FranceA 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.http://dx.doi.org/10.1155/2008/218519 |
spellingShingle | V. Perlbarg G. Marrelec Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges International Journal of Biomedical Imaging |
title | Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges |
title_full | Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges |
title_fullStr | Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges |
title_full_unstemmed | Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges |
title_short | Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges |
title_sort | contribution of exploratory methods to the investigation of extended large scale brain networks in functional mri methodologies results and challenges |
url | http://dx.doi.org/10.1155/2008/218519 |
work_keys_str_mv | AT vperlbarg contributionofexploratorymethodstotheinvestigationofextendedlargescalebrainnetworksinfunctionalmrimethodologiesresultsandchallenges AT gmarrelec contributionofexploratorymethodstotheinvestigationofextendedlargescalebrainnetworksinfunctionalmrimethodologiesresultsandchallenges |