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Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt

Our study aimed to clarify the neuroimaging correlates of suicide attempt by comparing differences in functional magnetic resonance imaging (fMRI) among depressed suicide attempters, depressed patients without suicide attempt history, and healthy controls through comprehensive and novel fMRI analyse...

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Autores principales: Weng, Jun-Cheng, Chou, Yu-Syuan, Tsai, Yuan-Hsiung, Lee, Chun-Te, Hsieh, Ming-Hong, Chen, Vincent Chin-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912611/
https://www.ncbi.nlm.nih.gov/pubmed/31739450
http://dx.doi.org/10.3390/jcm8111966
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author Weng, Jun-Cheng
Chou, Yu-Syuan
Tsai, Yuan-Hsiung
Lee, Chun-Te
Hsieh, Ming-Hong
Chen, Vincent Chin-Hung
author_facet Weng, Jun-Cheng
Chou, Yu-Syuan
Tsai, Yuan-Hsiung
Lee, Chun-Te
Hsieh, Ming-Hong
Chen, Vincent Chin-Hung
author_sort Weng, Jun-Cheng
collection PubMed
description Our study aimed to clarify the neuroimaging correlates of suicide attempt by comparing differences in functional magnetic resonance imaging (fMRI) among depressed suicide attempters, depressed patients without suicide attempt history, and healthy controls through comprehensive and novel fMRI analyses and methods in the same study population. The association between depression severity and aspects of the brain imaging was also discussed. Our study recruited 109 participants who were assigned to three groups: 33 depressed patients with suicide attempt (SA), 32 depressed patients without suicide attempt (NS), and 44 healthy controls (HC). All participants were scanned using a 3 T MRI imaging system to obtain resting-state functional images. In seed-based correlation analysis, we found altered functional connectivity in some brain regions of the SA compared with the NS or HC, especially in the hippocampus and thalamus. In the voxel-based analysis, our results showed differential activation and regional homogeneity of the temporal lobe and several brain regions in the SA compared with the NS and HC. We also found that some brain areas correlated with the Hamilton Depression Rating Scale (HAM-D), anxiety, and depression scores, especially in the frontal and temporal lobes. Graph theoretical analysis (GTA) and network-based statistical (NBS) analyses revealed different topological organization as well as slightly better global integration and worse local segregation of the brain network (i.e., more like a random network) in depressed participants compared with healthy participants. We concluded that the brain function of major depressive disorders with and without suicide attempts changed compared with healthy participants.
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spelling pubmed-69126112020-01-02 Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt Weng, Jun-Cheng Chou, Yu-Syuan Tsai, Yuan-Hsiung Lee, Chun-Te Hsieh, Ming-Hong Chen, Vincent Chin-Hung J Clin Med Article Our study aimed to clarify the neuroimaging correlates of suicide attempt by comparing differences in functional magnetic resonance imaging (fMRI) among depressed suicide attempters, depressed patients without suicide attempt history, and healthy controls through comprehensive and novel fMRI analyses and methods in the same study population. The association between depression severity and aspects of the brain imaging was also discussed. Our study recruited 109 participants who were assigned to three groups: 33 depressed patients with suicide attempt (SA), 32 depressed patients without suicide attempt (NS), and 44 healthy controls (HC). All participants were scanned using a 3 T MRI imaging system to obtain resting-state functional images. In seed-based correlation analysis, we found altered functional connectivity in some brain regions of the SA compared with the NS or HC, especially in the hippocampus and thalamus. In the voxel-based analysis, our results showed differential activation and regional homogeneity of the temporal lobe and several brain regions in the SA compared with the NS and HC. We also found that some brain areas correlated with the Hamilton Depression Rating Scale (HAM-D), anxiety, and depression scores, especially in the frontal and temporal lobes. Graph theoretical analysis (GTA) and network-based statistical (NBS) analyses revealed different topological organization as well as slightly better global integration and worse local segregation of the brain network (i.e., more like a random network) in depressed participants compared with healthy participants. We concluded that the brain function of major depressive disorders with and without suicide attempts changed compared with healthy participants. MDPI 2019-11-14 /pmc/articles/PMC6912611/ /pubmed/31739450 http://dx.doi.org/10.3390/jcm8111966 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Weng, Jun-Cheng
Chou, Yu-Syuan
Tsai, Yuan-Hsiung
Lee, Chun-Te
Hsieh, Ming-Hong
Chen, Vincent Chin-Hung
Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt
title Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt
title_full Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt
title_fullStr Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt
title_full_unstemmed Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt
title_short Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt
title_sort connectome analysis of brain functional network alterations in depressive patients with suicidal attempt
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6912611/
https://www.ncbi.nlm.nih.gov/pubmed/31739450
http://dx.doi.org/10.3390/jcm8111966
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