Cargando…

Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI

Depressive disorder is one of the leading causes of disability worldwide, with a high prevalence and chronic course. Depressive disorder carries an increased risk of suicide. Alterations in brain structure and networks may play an important role in suicidality among depressed patients. Diffusion mag...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Vincent Chin-Hung, Kao, Chun-Ju, Tsai, Yuan-Hsiung, McIntyre, Roger S., Weng, Jun-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998726/
https://www.ncbi.nlm.nih.gov/pubmed/33802354
http://dx.doi.org/10.3390/jpm11030174
_version_ 1783670618029293568
author Chen, Vincent Chin-Hung
Kao, Chun-Ju
Tsai, Yuan-Hsiung
McIntyre, Roger S.
Weng, Jun-Cheng
author_facet Chen, Vincent Chin-Hung
Kao, Chun-Ju
Tsai, Yuan-Hsiung
McIntyre, Roger S.
Weng, Jun-Cheng
author_sort Chen, Vincent Chin-Hung
collection PubMed
description Depressive disorder is one of the leading causes of disability worldwide, with a high prevalence and chronic course. Depressive disorder carries an increased risk of suicide. Alterations in brain structure and networks may play an important role in suicidality among depressed patients. Diffusion magnetic resonance imaging (MRI) is a noninvasive method to map white-matter fiber orientations and provide quantitative parameters. This study investigated the neurological structural differences and network alterations in depressed patients with suicide attempts by using generalized q-sampling imaging (GQI). Our study recruited 155 participants and assigned them into three groups: 44 depressed patients with a history of suicide attempts (SA), 56 depressed patients without a history of suicide attempts (D) and 55 healthy controls (HC). We used the GQI to analyze the generalized fractional anisotropy (GFA) and normalized quantitative anisotropy (NQA) values in voxel-based statistical analysis, topological parameters in graph theoretical analysis and subnetwork connectivity in network-based statistical analysis. GFA indicates the measurement of neural anisotropy and represents white-matter integrity; NQA indicates the amount of anisotropic spins that diffuse along fiber orientations and represents white-matter compactness. In the voxel-based statistical analysis, we found lower GFA and NQA values in the SA group than in the D and HC groups and lower GFA and NQA values in the D group than in the HC group. In the graph theoretical analysis, the SA group demonstrated higher local segregation and lower global integration among the three groups. In the network-based statistical analysis, the SA group showed stronger subnetwork connections in the frontal and parietal lobes, and the D group showed stronger subnetwork connections in the parietal lobe than the HC group. Alternations were found in the structural differences and network measurements in healthy controls and depressed patients with and without a history of suicide attempt.
format Online
Article
Text
id pubmed-7998726
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79987262021-03-28 Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI Chen, Vincent Chin-Hung Kao, Chun-Ju Tsai, Yuan-Hsiung McIntyre, Roger S. Weng, Jun-Cheng J Pers Med Article Depressive disorder is one of the leading causes of disability worldwide, with a high prevalence and chronic course. Depressive disorder carries an increased risk of suicide. Alterations in brain structure and networks may play an important role in suicidality among depressed patients. Diffusion magnetic resonance imaging (MRI) is a noninvasive method to map white-matter fiber orientations and provide quantitative parameters. This study investigated the neurological structural differences and network alterations in depressed patients with suicide attempts by using generalized q-sampling imaging (GQI). Our study recruited 155 participants and assigned them into three groups: 44 depressed patients with a history of suicide attempts (SA), 56 depressed patients without a history of suicide attempts (D) and 55 healthy controls (HC). We used the GQI to analyze the generalized fractional anisotropy (GFA) and normalized quantitative anisotropy (NQA) values in voxel-based statistical analysis, topological parameters in graph theoretical analysis and subnetwork connectivity in network-based statistical analysis. GFA indicates the measurement of neural anisotropy and represents white-matter integrity; NQA indicates the amount of anisotropic spins that diffuse along fiber orientations and represents white-matter compactness. In the voxel-based statistical analysis, we found lower GFA and NQA values in the SA group than in the D and HC groups and lower GFA and NQA values in the D group than in the HC group. In the graph theoretical analysis, the SA group demonstrated higher local segregation and lower global integration among the three groups. In the network-based statistical analysis, the SA group showed stronger subnetwork connections in the frontal and parietal lobes, and the D group showed stronger subnetwork connections in the parietal lobe than the HC group. Alternations were found in the structural differences and network measurements in healthy controls and depressed patients with and without a history of suicide attempt. MDPI 2021-03-03 /pmc/articles/PMC7998726/ /pubmed/33802354 http://dx.doi.org/10.3390/jpm11030174 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Chen, Vincent Chin-Hung
Kao, Chun-Ju
Tsai, Yuan-Hsiung
McIntyre, Roger S.
Weng, Jun-Cheng
Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI
title Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI
title_full Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI
title_fullStr Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI
title_full_unstemmed Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI
title_short Mapping Brain Microstructure and Network Alterations in Depressive Patients with Suicide Attempts Using Generalized Q-Sampling MRI
title_sort mapping brain microstructure and network alterations in depressive patients with suicide attempts using generalized q-sampling mri
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998726/
https://www.ncbi.nlm.nih.gov/pubmed/33802354
http://dx.doi.org/10.3390/jpm11030174
work_keys_str_mv AT chenvincentchinhung mappingbrainmicrostructureandnetworkalterationsindepressivepatientswithsuicideattemptsusinggeneralizedqsamplingmri
AT kaochunju mappingbrainmicrostructureandnetworkalterationsindepressivepatientswithsuicideattemptsusinggeneralizedqsamplingmri
AT tsaiyuanhsiung mappingbrainmicrostructureandnetworkalterationsindepressivepatientswithsuicideattemptsusinggeneralizedqsamplingmri
AT mcintyrerogers mappingbrainmicrostructureandnetworkalterationsindepressivepatientswithsuicideattemptsusinggeneralizedqsamplingmri
AT wengjuncheng mappingbrainmicrostructureandnetworkalterationsindepressivepatientswithsuicideattemptsusinggeneralizedqsamplingmri