Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients
Previous studies have demonstrated a close relationship between early Parkinson’s disease and functional network abnormalities. However, the pattern of brain changes in the early stages of Parkinson’s disease has not been confirmed, which has important implications for the study of clinical indicato...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Computational Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2022.891384/full |
| _version_ | 1828332491637784576 |
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| author | Qing Liu ZhongYan Shi Kexin Wang Tiantian Liu Shintaro Funahashi Jinglong Wu Jian Zhang |
| author_facet | Qing Liu ZhongYan Shi Kexin Wang Tiantian Liu Shintaro Funahashi Jinglong Wu Jian Zhang |
| author_sort | Qing Liu |
| collection | DOAJ |
| description | Previous studies have demonstrated a close relationship between early Parkinson’s disease and functional network abnormalities. However, the pattern of brain changes in the early stages of Parkinson’s disease has not been confirmed, which has important implications for the study of clinical indicators of Parkinson’s disease. Therefore, we investigated the functional connectivity before and after treatment in patients with early Parkinson’s disease, and further investigated the relationship between some topological properties and clinicopathological indicators. We included resting state-fMRI (rs-fMRI) data from 27 patients with early Parkinson’s disease aged 50–75 years from the Parkinson’s Disease Progression Markers Initiative (PPMI). The results showed that the functional connectivity of 6 networks, cerebellum network (CBN), cingulo_opercular network (CON), default network (DMN), fronto-parietal network (FPN), occipital network (OCC), and sensorimotor network (SMN), was significantly changed. Compared to before treatment, the main functional connections were concentrated in the CBN after treatment. In addition, the coefficients of these nodes have also changed. For betweenness centrality (BC), the FPN showed a significant improvement in treatment (p < 0.001). In conclusion, the alteration of functional networks in early Parkinson’s patients is critical for clarifying the mechanisms of early diagnosis of the disease. |
| first_indexed | 2024-04-13T21:05:51Z |
| format | Article |
| id | doaj.art-bfcd4d4bc8f048c9b11ddf8815f492cb |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-04-13T21:05:51Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-bfcd4d4bc8f048c9b11ddf8815f492cb2022-12-22T02:29:58ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882022-05-011610.3389/fncom.2022.891384891384Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s PatientsQing Liu0ZhongYan Shi1Kexin Wang2Tiantian Liu3Shintaro Funahashi4Jinglong Wu5Jian Zhang6Laboratory for Brain Science and Neurotechnology, School of Life Sciences, Beijing Institute of Technology, Beijing, ChinaLaboratory for Brain Science and Neurotechnology, School of Life Sciences, Beijing Institute of Technology, Beijing, ChinaLaboratory for Brain Science and Neurotechnology, School of Life Sciences, Beijing Institute of Technology, Beijing, ChinaLaboratory for Brain Science and Neurotechnology, School of Life Sciences, Beijing Institute of Technology, Beijing, ChinaAdvanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, ChinaResearch Center for Medical Artificial Intelligence, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, ChinaPrevious studies have demonstrated a close relationship between early Parkinson’s disease and functional network abnormalities. However, the pattern of brain changes in the early stages of Parkinson’s disease has not been confirmed, which has important implications for the study of clinical indicators of Parkinson’s disease. Therefore, we investigated the functional connectivity before and after treatment in patients with early Parkinson’s disease, and further investigated the relationship between some topological properties and clinicopathological indicators. We included resting state-fMRI (rs-fMRI) data from 27 patients with early Parkinson’s disease aged 50–75 years from the Parkinson’s Disease Progression Markers Initiative (PPMI). The results showed that the functional connectivity of 6 networks, cerebellum network (CBN), cingulo_opercular network (CON), default network (DMN), fronto-parietal network (FPN), occipital network (OCC), and sensorimotor network (SMN), was significantly changed. Compared to before treatment, the main functional connections were concentrated in the CBN after treatment. In addition, the coefficients of these nodes have also changed. For betweenness centrality (BC), the FPN showed a significant improvement in treatment (p < 0.001). In conclusion, the alteration of functional networks in early Parkinson’s patients is critical for clarifying the mechanisms of early diagnosis of the disease.https://www.frontiersin.org/articles/10.3389/fncom.2022.891384/fullParkinson’s diseaseresting state-fMRIfunctional connectivityfronto_parietal networkgraph theory |
| spellingShingle | Qing Liu ZhongYan Shi Kexin Wang Tiantian Liu Shintaro Funahashi Jinglong Wu Jian Zhang Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients Frontiers in Computational Neuroscience Parkinson’s disease resting state-fMRI functional connectivity fronto_parietal network graph theory |
| title | Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients |
| title_full | Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients |
| title_fullStr | Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients |
| title_full_unstemmed | Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients |
| title_short | Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients |
| title_sort | treatment enhances betweenness centrality of fronto parietal network in parkinson s patients |
| topic | Parkinson’s disease resting state-fMRI functional connectivity fronto_parietal network graph theory |
| url | https://www.frontiersin.org/articles/10.3389/fncom.2022.891384/full |
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