Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms
Abstract Background Depression is a common symptom of Alzheimer’s disease (AD), but the underlying neural mechanism is unknown. The aim of this study was to explore the topological properties of AD patients with depressive symptoms (D-AD) using graph theoretical analysis. Methods We obtained 3-Tesla...
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Format: | Article |
Language: | English |
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BMC
2022-12-01
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Series: | BMC Psychiatry |
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Online Access: | https://doi.org/10.1186/s12888-022-04450-9 |
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author | Zhongwei Guo Kun Liu Jiapeng Li Haokai Zhu Bo Chen Xiaozheng Liu |
author_facet | Zhongwei Guo Kun Liu Jiapeng Li Haokai Zhu Bo Chen Xiaozheng Liu |
author_sort | Zhongwei Guo |
collection | DOAJ |
description | Abstract Background Depression is a common symptom of Alzheimer’s disease (AD), but the underlying neural mechanism is unknown. The aim of this study was to explore the topological properties of AD patients with depressive symptoms (D-AD) using graph theoretical analysis. Methods We obtained 3-Tesla rsfMRI data from 24 D-AD patients, 20 non-depressed AD patients (nD-AD), and 20 normal controls (NC). Resting state networks were identified using graph theory analysis. ANOVA with a two-sample t-test post hoc analysis in GRETNA was used to assess the topological measurements. Results Our results demonstrate that the three groups show characteristic properties of a small-world network. NCs showed significantly larger global and local efficiency than D-AD and nD-AD patients. Compared with nD-AD patients, D-AD patients showed decreased nodal centrality in the pallidum, putamen, and right superior temporal gyrus. They also showed increased nodal centrality in the right superior parietal gyrus, the medial orbital portion of the right superior frontal gyrus, and the orbital portion of the right superior frontal gyrus. Compared with nD-AD patients, NC showed decreased nodal betweenness in the right superior temporal gyrus, and increased nodal betweenness in medial orbital part of the right superior frontal gyrus. Conclusions These results indicate that D-AD is associated with alterations of topological structure. Our study provides new insights into the brain mechanisms underlying D-AD. |
first_indexed | 2024-04-11T05:05:26Z |
format | Article |
id | doaj.art-95da20be0e3a4848b8d709fa28a05c27 |
institution | Directory Open Access Journal |
issn | 1471-244X |
language | English |
last_indexed | 2024-04-11T05:05:26Z |
publishDate | 2022-12-01 |
publisher | BMC |
record_format | Article |
series | BMC Psychiatry |
spelling | doaj.art-95da20be0e3a4848b8d709fa28a05c272022-12-25T12:24:53ZengBMCBMC Psychiatry1471-244X2022-12-0122111010.1186/s12888-022-04450-9Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptomsZhongwei Guo0Kun Liu1Jiapeng Li2Haokai Zhu3Bo Chen4Xiaozheng Liu5Tongde Hospital of Zhejiang Province, Zhejiang Provincial Health CommissionThe Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical UniversityTongde Hospital of Zhejiang Province, Zhejiang Provincial Health CommissionThe Second Clinical Medical College, Zhejiang Chinese Medicine UniversityTongde Hospital of Zhejiang Province, Zhejiang Provincial Health CommissionThe Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical UniversityAbstract Background Depression is a common symptom of Alzheimer’s disease (AD), but the underlying neural mechanism is unknown. The aim of this study was to explore the topological properties of AD patients with depressive symptoms (D-AD) using graph theoretical analysis. Methods We obtained 3-Tesla rsfMRI data from 24 D-AD patients, 20 non-depressed AD patients (nD-AD), and 20 normal controls (NC). Resting state networks were identified using graph theory analysis. ANOVA with a two-sample t-test post hoc analysis in GRETNA was used to assess the topological measurements. Results Our results demonstrate that the three groups show characteristic properties of a small-world network. NCs showed significantly larger global and local efficiency than D-AD and nD-AD patients. Compared with nD-AD patients, D-AD patients showed decreased nodal centrality in the pallidum, putamen, and right superior temporal gyrus. They also showed increased nodal centrality in the right superior parietal gyrus, the medial orbital portion of the right superior frontal gyrus, and the orbital portion of the right superior frontal gyrus. Compared with nD-AD patients, NC showed decreased nodal betweenness in the right superior temporal gyrus, and increased nodal betweenness in medial orbital part of the right superior frontal gyrus. Conclusions These results indicate that D-AD is associated with alterations of topological structure. Our study provides new insights into the brain mechanisms underlying D-AD.https://doi.org/10.1186/s12888-022-04450-9Alzheimer’s diseaseDepressionFunctional brain networkGraph theory analysis |
spellingShingle | Zhongwei Guo Kun Liu Jiapeng Li Haokai Zhu Bo Chen Xiaozheng Liu Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms BMC Psychiatry Alzheimer’s disease Depression Functional brain network Graph theory analysis |
title | Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms |
title_full | Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms |
title_fullStr | Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms |
title_full_unstemmed | Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms |
title_short | Disrupted topological organization of functional brain networks in Alzheimer’s disease patients with depressive symptoms |
title_sort | disrupted topological organization of functional brain networks in alzheimer s disease patients with depressive symptoms |
topic | Alzheimer’s disease Depression Functional brain network Graph theory analysis |
url | https://doi.org/10.1186/s12888-022-04450-9 |
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