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Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression

This study investigated electroencephalographic correlates in chronically depressed patients compared to healthy controls using intracutaneously applied electrical pain stimulus, to better understand the interaction between pain processing and depression. A close interaction between pain and depress...

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Autores principales: Leistritz, Lutz, Weiss, Thomas, Bär, Karl-Jürgen, De VicoFallani, Fabrizio, Babiloni, Fabio, Witte, Herbert, Lehmann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630161/
https://www.ncbi.nlm.nih.gov/pubmed/23637778
http://dx.doi.org/10.1371/journal.pone.0060956
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author Leistritz, Lutz
Weiss, Thomas
Bär, Karl-Jürgen
De VicoFallani, Fabrizio
Babiloni, Fabio
Witte, Herbert
Lehmann, Thomas
author_facet Leistritz, Lutz
Weiss, Thomas
Bär, Karl-Jürgen
De VicoFallani, Fabrizio
Babiloni, Fabio
Witte, Herbert
Lehmann, Thomas
author_sort Leistritz, Lutz
collection PubMed
description This study investigated electroencephalographic correlates in chronically depressed patients compared to healthy controls using intracutaneously applied electrical pain stimulus, to better understand the interaction between pain processing and depression. A close interaction between pain and depression is generally recognized although the precise mechanisms are not yet fully understood. The present study focuses on the hypothesis that effective brain connectivity in major depression patients is altered. Multifunctional interactions between brain regions represent a robust index of effective interactions within the brain, and can be quantified by network redundancy. Thus, structural network differences between 18 normal controls and 18 major depression patients before as well as during the processing of moderately painful intracutaneous electrical stimuli were investigated on the basis of network redundancy differences. In our sample, both patients and control subjects exhibit comparable network redundancies before stimulus application. Caused by the stimulus, there is a global increase of network redundancy in both groups. This increase is diminished in the group of major depression patients. We found clear differences between patients and controls during the stimulus processing, where the network redundancy in normal controls is larger in comparison to patients. The differences might be explained by the fact that major depression patients are more restricted to the affective component of the processing. The well-established biasing to affective processing might suppress the somatosensory processing resulting in a lower number of connections within the considered network. This might then lead to a reduction in network redundancy during stimulus processing.
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spelling pubmed-36301612013-05-01 Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression Leistritz, Lutz Weiss, Thomas Bär, Karl-Jürgen De VicoFallani, Fabrizio Babiloni, Fabio Witte, Herbert Lehmann, Thomas PLoS One Research Article This study investigated electroencephalographic correlates in chronically depressed patients compared to healthy controls using intracutaneously applied electrical pain stimulus, to better understand the interaction between pain processing and depression. A close interaction between pain and depression is generally recognized although the precise mechanisms are not yet fully understood. The present study focuses on the hypothesis that effective brain connectivity in major depression patients is altered. Multifunctional interactions between brain regions represent a robust index of effective interactions within the brain, and can be quantified by network redundancy. Thus, structural network differences between 18 normal controls and 18 major depression patients before as well as during the processing of moderately painful intracutaneous electrical stimuli were investigated on the basis of network redundancy differences. In our sample, both patients and control subjects exhibit comparable network redundancies before stimulus application. Caused by the stimulus, there is a global increase of network redundancy in both groups. This increase is diminished in the group of major depression patients. We found clear differences between patients and controls during the stimulus processing, where the network redundancy in normal controls is larger in comparison to patients. The differences might be explained by the fact that major depression patients are more restricted to the affective component of the processing. The well-established biasing to affective processing might suppress the somatosensory processing resulting in a lower number of connections within the considered network. This might then lead to a reduction in network redundancy during stimulus processing. Public Library of Science 2013-04-18 /pmc/articles/PMC3630161/ /pubmed/23637778 http://dx.doi.org/10.1371/journal.pone.0060956 Text en © 2013 Leistritz et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Leistritz, Lutz
Weiss, Thomas
Bär, Karl-Jürgen
De VicoFallani, Fabrizio
Babiloni, Fabio
Witte, Herbert
Lehmann, Thomas
Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression
title Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression
title_full Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression
title_fullStr Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression
title_full_unstemmed Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression
title_short Network Redundancy Analysis of Effective Brain Networks; a Comparison of Healthy Controls and Patients with Major Depression
title_sort network redundancy analysis of effective brain networks; a comparison of healthy controls and patients with major depression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630161/
https://www.ncbi.nlm.nih.gov/pubmed/23637778
http://dx.doi.org/10.1371/journal.pone.0060956
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