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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Guo, Zhongwei Liu, Kun Li, Jiapeng Zhu, Haokai Chen, Bo Liu, Xiaozheng |
| 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. |
| Related Links | https://bmcpsychiatry.biomedcentral.com/counter/pdf/10.1186/s12888-022-04450-9.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s12888-022-04450-9 |
| Journal | BMC Psychiatry |
| Issue Number | 1 |
| Volume Number | 22 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2022-12-20 |
| Access Restriction | Open |
| Subject Keyword | Psychiatry Psychotherapy Alzheimer’s disease Depression Functional brain network Graph theory analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Psychiatry and Mental Health |
| Journal Impact Factor | 3.4/2023 |
| 5-Year Journal Impact Factor | 4.2/2023 |
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