Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory
New developments in integrating Transcranial Magnetic Stimulation (TMS) in combination with acupuncture from traditional Chinese medicine, and applying graph theory to neuroscience, are opening new frontiers in brain research and neuromagnetic stimulation. In this article, brain functional networks...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21681163.2024.2440073 |
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| author | Yangyang Xing Xufeng Ma Yuehua Geng |
| author_facet | Yangyang Xing Xufeng Ma Yuehua Geng |
| author_sort | Yangyang Xing |
| collection | DOAJ |
| description | New developments in integrating Transcranial Magnetic Stimulation (TMS) in combination with acupuncture from traditional Chinese medicine, and applying graph theory to neuroscience, are opening new frontiers in brain research and neuromagnetic stimulation. In this article, brain functional networks following magnetic stimulation at the Guangming acupoint and the mock acupoint were constructed based on the quantification of the correlation of multi-channel Electroencephalogram (EEG) signals. Results show that, compared with the results under stimulation at the mock acupoint, brain functional connections significantly increase in the occipital lobe and the frontal lobe under stimulation at the Guangming acupoint. In combination with graph theory based on complex network theory and statistical T-tests, we found significant differences in the brain functional network parameters between magnetic stimulation at the Guangming acupoint and the mock acupoint (p < 0.05). Therefore, it can be concluded that magnetic stimulation of the Guangming acupoint can improve the brain functional network’s global and local efficiency, shorten the information transmission path, and achieve more efficient information transmission within the brain. |
| format | Article |
| id | doaj-art-e16f917e1ff0462ca7c55a0c2ae41230 |
| institution | Kabale University |
| issn | 2168-1163 2168-1171 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
| spelling | doaj-art-e16f917e1ff0462ca7c55a0c2ae412302024-12-11T13:47:27ZengTaylor & Francis GroupComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization2168-11632168-11712025-12-0113110.1080/21681163.2024.2440073Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theoryYangyang Xing0Xufeng Ma1Yuehua Geng2School of Computer and Information Technology, Cangzhou Jiaotong College, Huanghua, Hebei, ChinaSchool of Computer and Information Technology, Cangzhou Jiaotong College, Huanghua, Hebei, ChinaHebei Provincial Key Laboratory of Electromagnetic Field and Electrical Reliability, Hebei University of Technology, Tianjin, ChinaNew developments in integrating Transcranial Magnetic Stimulation (TMS) in combination with acupuncture from traditional Chinese medicine, and applying graph theory to neuroscience, are opening new frontiers in brain research and neuromagnetic stimulation. In this article, brain functional networks following magnetic stimulation at the Guangming acupoint and the mock acupoint were constructed based on the quantification of the correlation of multi-channel Electroencephalogram (EEG) signals. Results show that, compared with the results under stimulation at the mock acupoint, brain functional connections significantly increase in the occipital lobe and the frontal lobe under stimulation at the Guangming acupoint. In combination with graph theory based on complex network theory and statistical T-tests, we found significant differences in the brain functional network parameters between magnetic stimulation at the Guangming acupoint and the mock acupoint (p < 0.05). Therefore, it can be concluded that magnetic stimulation of the Guangming acupoint can improve the brain functional network’s global and local efficiency, shorten the information transmission path, and achieve more efficient information transmission within the brain.https://www.tandfonline.com/doi/10.1080/21681163.2024.2440073Magnetic stimulationacupointEEG signalsbrain functional network |
| spellingShingle | Yangyang Xing Xufeng Ma Yuehua Geng Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Magnetic stimulation acupoint EEG signals brain functional network |
| title | Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory |
| title_full | Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory |
| title_fullStr | Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory |
| title_full_unstemmed | Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory |
| title_short | Construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory |
| title_sort | construction and analysis of brain functional network of magnetic stimulation acupoints based on graph theory |
| topic | Magnetic stimulation acupoint EEG signals brain functional network |
| url | https://www.tandfonline.com/doi/10.1080/21681163.2024.2440073 |
| work_keys_str_mv | AT yangyangxing constructionandanalysisofbrainfunctionalnetworkofmagneticstimulationacupointsbasedongraphtheory AT xufengma constructionandanalysisofbrainfunctionalnetworkofmagneticstimulationacupointsbasedongraphtheory AT yuehuageng constructionandanalysisofbrainfunctionalnetworkofmagneticstimulationacupointsbasedongraphtheory |