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

Zhe Tu,1–4,* Yuan Yuan Jia,2,5,* Tao Wang,2,3,* Hang Qu,2,3 Jun Xi Pan,2,3 Jie Jie,2,3 Xiao Yan Xu,2,3 Hai Yang Wang,2,3 Peng Xie1–3 1Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China; 2Department of Neurology, the First Affiliated Hospi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Tu Z, Jia YY, Wang T, Qu H, Pan JX, Jie J, Xu XY, Wang HY, Xie P
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://doaj.org/article/365ef751396547438510f5e280713fad
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:365ef751396547438510f5e280713fad
record_format dspace
spelling oai:doaj.org-article:365ef751396547438510f5e280713fad2021-12-02T05:33:58ZModulatory interactions of resting-state brain functional connectivity in major depressive disorder1178-2021https://doaj.org/article/365ef751396547438510f5e280713fad2018-09-01T00:00:00Zhttps://www.dovepress.com/modulatory-interactions-of-resting-state-brain-functional-connectivity-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Zhe Tu,1–4,* Yuan Yuan Jia,2,5,* Tao Wang,2,3,* Hang Qu,2,3 Jun Xi Pan,2,3 Jie Jie,2,3 Xiao Yan Xu,2,3 Hai Yang Wang,2,3 Peng Xie1–3 1Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China; 2Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China; 3Chongqing Key Laboratory of Neurobiology, Chongqing Medical University, Chongqing, China; 4Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; 5The College of Medical Informatics, Chongqing Medical University, Chongqing, China *These authors contributed equally to this work 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. Keywords: major depressive disorder, physiophysiological, modulatory effects, resting-state networksTu ZJia YYWang TQu HPan JXJie JXu XYWang HYXie PDove Medical PressarticleMajor depressive disorderphysiophysiologicalmodulatory effectsresting-state networksNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 14, Pp 2461-2472 (2018)
institution DOAJ
collection DOAJ
language EN
topic Major depressive disorder
physiophysiological
modulatory effects
resting-state networks
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
spellingShingle Major depressive disorder
physiophysiological
modulatory effects
resting-state networks
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Tu Z
Jia YY
Wang T
Qu H
Pan JX
Jie J
Xu XY
Wang HY
Xie P
Modulatory interactions of resting-state brain functional connectivity in major depressive disorder
description Zhe Tu,1–4,* Yuan Yuan Jia,2,5,* Tao Wang,2,3,* Hang Qu,2,3 Jun Xi Pan,2,3 Jie Jie,2,3 Xiao Yan Xu,2,3 Hai Yang Wang,2,3 Peng Xie1–3 1Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China; 2Department of Neurology, the First Affiliated Hospital, Chongqing Medical University, Chongqing, China; 3Chongqing Key Laboratory of Neurobiology, Chongqing Medical University, Chongqing, China; 4Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; 5The College of Medical Informatics, Chongqing Medical University, Chongqing, China *These authors contributed equally to this work 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. Keywords: major depressive disorder, physiophysiological, modulatory effects, resting-state networks
format article
author Tu Z
Jia YY
Wang T
Qu H
Pan JX
Jie J
Xu XY
Wang HY
Xie P
author_facet Tu Z
Jia YY
Wang T
Qu H
Pan JX
Jie J
Xu XY
Wang HY
Xie P
author_sort Tu Z
title 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_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_sort modulatory interactions of resting-state brain functional connectivity in major depressive disorder
publisher Dove Medical Press
publishDate 2018
url https://doaj.org/article/365ef751396547438510f5e280713fad
work_keys_str_mv AT tuz modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT jiayy modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT wangt modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT quh modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT panjx modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT jiej modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT xuxy modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT wanghy modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
AT xiep modulatoryinteractionsofrestingstatebrainfunctionalconnectivityinmajordepressivedisorder
_version_ 1718400344014192640