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Modulatory interactions of resting-state brain functional connectivity in major depressive disorder

BACKGROUND: Major depressive disorder (MDD) is mediated by chronic dysregulation of complex neural circuits, particularly the specific neurotransmitters or other neural substrates. Recently, both increases and decreases in resting-state functional connectivity have been observed in patients with MDD...

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Autores principales: Tu, Zhe, Jia, Yuan Yuan, Wang, Tao, Qu, Hang, Pan, Jun Xi, Jie, Jie, Xu, Xiao Yan, Wang, Hai Yang, Xie, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167995/
https://www.ncbi.nlm.nih.gov/pubmed/30319258
http://dx.doi.org/10.2147/NDT.S165295
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author Tu, Zhe
Jia, Yuan Yuan
Wang, Tao
Qu, Hang
Pan, Jun Xi
Jie, Jie
Xu, Xiao Yan
Wang, Hai Yang
Xie, Peng
author_facet Tu, Zhe
Jia, Yuan Yuan
Wang, Tao
Qu, Hang
Pan, Jun Xi
Jie, Jie
Xu, Xiao Yan
Wang, Hai Yang
Xie, Peng
author_sort Tu, Zhe
collection PubMed
description BACKGROUND: Major depressive disorder (MDD) is mediated by chronic dysregulation of complex neural circuits, particularly the specific neurotransmitters or other neural substrates. Recently, both increases and decreases in resting-state functional connectivity have been observed in patients with MDD. However, previous research has only assessed the functional connectivity within a specific network or some regions of interests, without considering the modulatory effects of the entire brain regions. To fill in the research gap, this study employed PPI (physiophysiological interaction) to investigate the functional connectivity in the entire brain regions. Apart from the traditional PPI used for cognitive research, current PPI analysis is more suitable for exploring the neural mechanism in MDD patients. Besides, this PPI method does not require a new cognitive estimation task and can assess the modulatory effects on different part of brain without prior setting of regions of interest. METHODS: First, we recruited 76 outpatients with major depressive disorder, and conducted MRI scan to acquire structural and functional images. As referred to the previous study of resting-state networks, we identified eight well-defined intrinsic resting-state networks by using independent component analysis. Subsequently, we explored the regions that exhibited synchronous modulatory interactions within the network by executing PPI analysis. RESULTS: Our findings indicated that the modulatory effects between healthy crowed and patient are different. By using PPI analysis in neuroimaging can help us to understand the mechanisms of neural disruptions in MDD patients. In addition, this study provides new insight into the complicated relationships between three or more regions of brain, as well as different brain networks functions in external and internal. CONCLUSION: Furthermore, the functional connectivity may deepen our knowledge regarding the complex brain functions in MDD patients and suggest a new multimodality treatment for MDD including targeted therapy and transcranial magnetic stimulation.
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spelling pubmed-61679952018-10-12 Modulatory interactions of resting-state brain functional connectivity in major depressive disorder Tu, Zhe Jia, Yuan Yuan Wang, Tao Qu, Hang Pan, Jun Xi Jie, Jie Xu, Xiao Yan Wang, Hai Yang Xie, Peng Neuropsychiatr Dis Treat Original Research BACKGROUND: Major depressive disorder (MDD) is mediated by chronic dysregulation of complex neural circuits, particularly the specific neurotransmitters or other neural substrates. Recently, both increases and decreases in resting-state functional connectivity have been observed in patients with MDD. However, previous research has only assessed the functional connectivity within a specific network or some regions of interests, without considering the modulatory effects of the entire brain regions. To fill in the research gap, this study employed PPI (physiophysiological interaction) to investigate the functional connectivity in the entire brain regions. Apart from the traditional PPI used for cognitive research, current PPI analysis is more suitable for exploring the neural mechanism in MDD patients. Besides, this PPI method does not require a new cognitive estimation task and can assess the modulatory effects on different part of brain without prior setting of regions of interest. METHODS: First, we recruited 76 outpatients with major depressive disorder, and conducted MRI scan to acquire structural and functional images. As referred to the previous study of resting-state networks, we identified eight well-defined intrinsic resting-state networks by using independent component analysis. Subsequently, we explored the regions that exhibited synchronous modulatory interactions within the network by executing PPI analysis. RESULTS: Our findings indicated that the modulatory effects between healthy crowed and patient are different. By using PPI analysis in neuroimaging can help us to understand the mechanisms of neural disruptions in MDD patients. In addition, this study provides new insight into the complicated relationships between three or more regions of brain, as well as different brain networks functions in external and internal. CONCLUSION: Furthermore, the functional connectivity may deepen our knowledge regarding the complex brain functions in MDD patients and suggest a new multimodality treatment for MDD including targeted therapy and transcranial magnetic stimulation. Dove Medical Press 2018-09-28 /pmc/articles/PMC6167995/ /pubmed/30319258 http://dx.doi.org/10.2147/NDT.S165295 Text en © 2018 Tu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Tu, Zhe
Jia, Yuan Yuan
Wang, Tao
Qu, Hang
Pan, Jun Xi
Jie, Jie
Xu, Xiao Yan
Wang, Hai Yang
Xie, Peng
Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
title Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
title_full Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
title_fullStr Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
title_full_unstemmed Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
title_short Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
title_sort modulatory interactions of resting-state brain functional connectivity in major depressive disorder
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167995/
https://www.ncbi.nlm.nih.gov/pubmed/30319258
http://dx.doi.org/10.2147/NDT.S165295
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