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Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis
BACKGROUND: Abnormalities of cortical morphology have been consistently reported in major depressive disorder (MDD), with widespread focal alterations in cortical thickness, surface area and gyrification. However, it is unclear whether these distributed focal changes disrupt the system-level archite...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CMA Impact Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074807/ https://www.ncbi.nlm.nih.gov/pubmed/35508328 http://dx.doi.org/10.1503/jpn.210204 |
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author | Chen, Chujun Liu, Zhening Xi, Chang Tan, Wenjian Fan, Zebin Cheng, Yixin Yang, Jun Palaniyappan, Lena Yang, Jie |
author_facet | Chen, Chujun Liu, Zhening Xi, Chang Tan, Wenjian Fan, Zebin Cheng, Yixin Yang, Jun Palaniyappan, Lena Yang, Jie |
author_sort | Chen, Chujun |
collection | PubMed |
description | BACKGROUND: Abnormalities of cortical morphology have been consistently reported in major depressive disorder (MDD), with widespread focal alterations in cortical thickness, surface area and gyrification. However, it is unclear whether these distributed focal changes disrupt the system-level architecture (topology) of brain morphology in MDD. If present, such a topological disruption might explain the mechanisms that underlie altered cortical morphology in MDD. METHODS: Seventy-six patients with first-episode MDD (33 male, 43 female) and 66 healthy controls (32 male, 34 female) underwent structural MRI scans. We calculated cortical indices, including cortical thickness, surface area and local gyrification index, using FreeSurfer. We constructed morphological covariance networks using the 3 cortical indices separately, and we analyzed the topological properties of these group-level morphological covariance networks using graph theoretical approaches. RESULTS: Topological differences between patients with first-episode MDD and healthy controls were restricted to the thickness-based network. We found a significant decrease in global efficiency but an increase in local efficiency of the left superior frontal gyrus and the right paracentral lobule in patients with first-episode MDD. When we simulated targeted lesions affecting the most highly connected nodes, the thickness-based networks in patients with first-episode MDD disintegrated more rapidly than those in healthy controls. LIMITATIONS: Our sample of patients with first-episode MDD has limited generalizability to patients with chronic and recurrent MDD. CONCLUSION: A systems-level disruption in cortical thickness (but not surface area or gyrification) occurs in patients with first-episode MDD. |
format | Online Article Text |
id | pubmed-9074807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | CMA Impact Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90748072022-05-14 Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis Chen, Chujun Liu, Zhening Xi, Chang Tan, Wenjian Fan, Zebin Cheng, Yixin Yang, Jun Palaniyappan, Lena Yang, Jie J Psychiatry Neurosci Research Paper BACKGROUND: Abnormalities of cortical morphology have been consistently reported in major depressive disorder (MDD), with widespread focal alterations in cortical thickness, surface area and gyrification. However, it is unclear whether these distributed focal changes disrupt the system-level architecture (topology) of brain morphology in MDD. If present, such a topological disruption might explain the mechanisms that underlie altered cortical morphology in MDD. METHODS: Seventy-six patients with first-episode MDD (33 male, 43 female) and 66 healthy controls (32 male, 34 female) underwent structural MRI scans. We calculated cortical indices, including cortical thickness, surface area and local gyrification index, using FreeSurfer. We constructed morphological covariance networks using the 3 cortical indices separately, and we analyzed the topological properties of these group-level morphological covariance networks using graph theoretical approaches. RESULTS: Topological differences between patients with first-episode MDD and healthy controls were restricted to the thickness-based network. We found a significant decrease in global efficiency but an increase in local efficiency of the left superior frontal gyrus and the right paracentral lobule in patients with first-episode MDD. When we simulated targeted lesions affecting the most highly connected nodes, the thickness-based networks in patients with first-episode MDD disintegrated more rapidly than those in healthy controls. LIMITATIONS: Our sample of patients with first-episode MDD has limited generalizability to patients with chronic and recurrent MDD. CONCLUSION: A systems-level disruption in cortical thickness (but not surface area or gyrification) occurs in patients with first-episode MDD. CMA Impact Inc. 2022-05-04 /pmc/articles/PMC9074807/ /pubmed/35508328 http://dx.doi.org/10.1503/jpn.210204 Text en © 2022 CMA Impact Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Research Paper Chen, Chujun Liu, Zhening Xi, Chang Tan, Wenjian Fan, Zebin Cheng, Yixin Yang, Jun Palaniyappan, Lena Yang, Jie Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
title | Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
title_full | Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
title_fullStr | Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
title_full_unstemmed | Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
title_short | Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
title_sort | multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074807/ https://www.ncbi.nlm.nih.gov/pubmed/35508328 http://dx.doi.org/10.1503/jpn.210204 |
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