Modular organization of brain resting state networks in chronic back pain patients

Recent work on functional magnetic resonance imaging 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 pati...

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Detalles Bibliográficos
Autores principales:	Balenzuela, P., Chernomoretz, A., Fraiman, D., Cifre, I., Sitges, C., Montoya, P., Chialvo, D.R.
Formato:	JOUR
Materias:	Chronic pain Functional networks Module organization
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_16625196_v4_nNOV_p_Balenzuela
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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spelling	todo:paper_16625196_v4_nNOV_p_Balenzuela2023-10-03T16:28:55Z Modular organization of brain resting state networks in chronic back pain patients Balenzuela, P. Chernomoretz, A. Fraiman, D. Cifre, I. Sitges, C. Montoya, P. Chialvo, D.R. Chronic pain Functional networks Module organization Recent work on functional magnetic resonance imaging 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 and healthy controls 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. © 2010 Balenzuela, Chernomoretz, Fraiman, Cifre, Sitges, Montoya and Chialvo. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_16625196_v4_nNOV_p_Balenzuela
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Chronic pain Functional networks Module organization
spellingShingle	Chronic pain Functional networks Module organization Balenzuela, P. Chernomoretz, A. Fraiman, D. Cifre, I. Sitges, C. Montoya, P. Chialvo, D.R. Modular organization of brain resting state networks in chronic back pain patients
topic_facet	Chronic pain Functional networks Module organization
description	Recent work on functional magnetic resonance imaging 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 and healthy controls 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. © 2010 Balenzuela, Chernomoretz, Fraiman, Cifre, Sitges, Montoya and Chialvo.
format	JOUR
author	Balenzuela, P. Chernomoretz, A. Fraiman, D. Cifre, I. Sitges, C. Montoya, P. Chialvo, D.R.
author_facet	Balenzuela, P. Chernomoretz, A. Fraiman, D. Cifre, I. Sitges, C. Montoya, P. Chialvo, D.R.
author_sort	Balenzuela, P.
title	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_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_sort	modular organization of brain resting state networks in chronic back pain patients
url	http://hdl.handle.net/20.500.12110/paper_16625196_v4_nNOV_p_Balenzuela
work_keys_str_mv	AT balenzuelap modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients AT chernomoretza modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients AT fraimand modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients AT cifrei modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients AT sitgesc modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients AT montoyap modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients AT chialvodr modularorganizationofbrainrestingstatenetworksinchronicbackpainpatients
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Modular organization of brain resting state networks in chronic back pain patients

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