Modular organization of brain resting state networks in chronic back pain patients
Recent work on functional magnetic resonance imaging (fMRI) large scale brain networks under resting conditions demonstrated its potential to evaluate the integrity of brain function under normal and pathological conditions. A similar approach is used in this work to study a group of chronic back...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2010-11-01
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| Series: | Frontiers in Neuroinformatics |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fninf.2010.00116/full |
| _version_ | 1818425975043522560 |
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| author | Pablo Balenzuela Pablo Balenzuela Ariel Chernomoretz Ariel Chernomoretz Daniel Fraiman Daniel Fraiman Ignacio Cifre Carolina Sitges Pedro Montoya Dante R Chialvo |
| author_facet | Pablo Balenzuela Pablo Balenzuela Ariel Chernomoretz Ariel Chernomoretz Daniel Fraiman Daniel Fraiman Ignacio Cifre Carolina Sitges Pedro Montoya Dante R Chialvo |
| author_sort | Pablo Balenzuela |
| collection | DOAJ |
| description | Recent work on functional magnetic resonance imaging (fMRI) large scale brain networks under resting conditions demonstrated its potential to evaluate the integrity of brain function under normal and pathological conditions. A similar approach is used in this work to study a group of chronic back pain patients (CBP) and healthy controls (HC) to determine the impact of long enduring pain over brain dynamics. Correlation networks were constructed from the mutual partial correlations of brain activity's time series selected from ninety regions using a well validated brain parcellation atlas. The study of the resulting networks revealed an organization of up to six communities with similar modularity in both groups, but with important differences in the membership of key communities of frontal and temporal regions. The bulk of these findings were confirmed by a surprisingly naive analysis based on the pairwise correlations of the strongest and weakest correlated healthy regions. Beside confirming the brain effects of long enduring pain, these results provide a framework to study the effect of other chronic conditions over cortical function. |
| first_indexed | 2024-12-14T14:22:28Z |
| format | Article |
| id | doaj.art-cfb62fd2498a4b959c0355f6c19e7ca4 |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-14T14:22:28Z |
| publishDate | 2010-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-cfb62fd2498a4b959c0355f6c19e7ca42022-12-21T22:58:03ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962010-11-01410.3389/fninf.2010.001161538Modular organization of brain resting state networks in chronic back pain patientsPablo Balenzuela0Pablo Balenzuela1Ariel Chernomoretz2Ariel Chernomoretz3Daniel Fraiman4Daniel Fraiman5Ignacio Cifre6Carolina Sitges7Pedro Montoya8Dante R Chialvo9Universidad de Buenos AiresCONICETUniversidad de Buenos AiresCONICETCONICETUniversidad de San AndrésUniversity of Balearic IslandsUniversity of Balearic IslandsUniversity of Balearic IslandsDavid Geffen School of Medicine at UCLARecent work on functional magnetic resonance imaging (fMRI) large scale brain networks under resting conditions demonstrated its potential to evaluate the integrity of brain function under normal and pathological conditions. A similar approach is used in this work to study a group of chronic back pain patients (CBP) and healthy controls (HC) to determine the impact of long enduring pain over brain dynamics. Correlation networks were constructed from the mutual partial correlations of brain activity's time series selected from ninety regions using a well validated brain parcellation atlas. The study of the resulting networks revealed an organization of up to six communities with similar modularity in both groups, but with important differences in the membership of key communities of frontal and temporal regions. The bulk of these findings were confirmed by a surprisingly naive analysis based on the pairwise correlations of the strongest and weakest correlated healthy regions. Beside confirming the brain effects of long enduring pain, these results provide a framework to study the effect of other chronic conditions over cortical function.http://journal.frontiersin.org/Journal/10.3389/fninf.2010.00116/fullChronic PainFunctional NetworksModule Organization |
| spellingShingle | Pablo Balenzuela Pablo Balenzuela Ariel Chernomoretz Ariel Chernomoretz Daniel Fraiman Daniel Fraiman Ignacio Cifre Carolina Sitges Pedro Montoya Dante R Chialvo Modular organization of brain resting state networks in chronic back pain patients Frontiers in Neuroinformatics Chronic Pain Functional Networks Module Organization |
| title | Modular organization of brain resting state networks in chronic back pain patients |
| title_full | Modular organization of brain resting state networks in chronic back pain patients |
| title_fullStr | Modular organization of brain resting state networks in chronic back pain patients |
| title_full_unstemmed | Modular organization of brain resting state networks in chronic back pain patients |
| title_short | Modular organization of brain resting state networks in chronic back pain patients |
| title_sort | modular organization of brain resting state networks in chronic back pain patients |
| topic | Chronic Pain Functional Networks Module Organization |
| url | http://journal.frontiersin.org/Journal/10.3389/fninf.2010.00116/full |
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