Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients
Background: Cancer pain is a common symptom in patients with malignant tumors and associated with poor prognosis and a high risk of death. Structural connectivity (SC) and functional connectivity (FC) couplings have not yet been explored in lung cancer patients with bone metastasis pain. Methods: In...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Brain Research Bulletin |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S036192302500022X |
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| author | Jiahui Zheng Chengfang Wang Xiaoyu Zhou Yu Tang Lin Tang Yong Tan Jing Zhang Hong Yu Jiuquan Zhang Daihong Liu |
| author_facet | Jiahui Zheng Chengfang Wang Xiaoyu Zhou Yu Tang Lin Tang Yong Tan Jing Zhang Hong Yu Jiuquan Zhang Daihong Liu |
| author_sort | Jiahui Zheng |
| collection | DOAJ |
| description | Background: Cancer pain is a common symptom in patients with malignant tumors and associated with poor prognosis and a high risk of death. Structural connectivity (SC) and functional connectivity (FC) couplings have not yet been explored in lung cancer patients with bone metastasis pain. Methods: In total, 51 patients with lung cancer without bone metastasis pain (BMP–), 52 patients with lung cancer with bone metastasis pain (BMP+), and 28 healthy controls (HC) were prospectively enrolled in our study. Firstly, SC–FC couplings were measured and analyzed at global, regional, and modular levels. Subsequently, individualized SC-FC coupling networks were constructed based on the Euclidean distance metric. In addition, the convolutional neural network (CNN) model was selected to analyze and classify three groups based on individualized networks. Results: The coupling analysis demonstrated that weaker SC–FC couplings related to lung cancer itself were present at various levels, including global, regional, inter-network, and intra-network couplings. Notably, hyper-couplings related to bone metastasis pain were present in several brain regions, mainly involving the default mode network, frontoparietal network, salience network, and limbic system. Significant positive correlations were observed between regional coupling in the right amygdala and the numeric rating scale scores in BMP+. Moreover, CNN model built on individualized networks exhibited relatively great classification performance. Conclusion: Alterations in SC–FC coupling patterns may play a crucial role in the development and modulation of bone metastasis pain. Understanding these changes could provide valuable insights into the neural mechanisms underlying cancer pain. |
| format | Article |
| id | doaj-art-bb0b60b79ed94a57a54b0406e88493e6 |
| institution | Kabale University |
| issn | 1873-2747 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain Research Bulletin |
| spelling | doaj-art-bb0b60b79ed94a57a54b0406e88493e62025-02-07T04:46:44ZengElsevierBrain Research Bulletin1873-27472025-02-01221111210Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patientsJiahui Zheng0Chengfang Wang1Xiaoyu Zhou2Yu Tang3Lin Tang4Yong Tan5Jing Zhang6Hong Yu7Jiuquan Zhang8Daihong Liu9Department of Radiology, Chongqing University Cancer Hospital, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, ChinaSchool of Medicine, Chongqing University, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, ChinaDepartment of Radiology, Chongqing University Cancer Hospital, China; Correspondence to: Department of Radiology, Chongqing University Cancer Hospital, Chongqing 400030, China.Department of Radiology, Chongqing University Cancer Hospital, China; Correspondence to: Department of Radiology, Chongqing University Cancer Hospital, Chongqing 400030, China.Background: Cancer pain is a common symptom in patients with malignant tumors and associated with poor prognosis and a high risk of death. Structural connectivity (SC) and functional connectivity (FC) couplings have not yet been explored in lung cancer patients with bone metastasis pain. Methods: In total, 51 patients with lung cancer without bone metastasis pain (BMP–), 52 patients with lung cancer with bone metastasis pain (BMP+), and 28 healthy controls (HC) were prospectively enrolled in our study. Firstly, SC–FC couplings were measured and analyzed at global, regional, and modular levels. Subsequently, individualized SC-FC coupling networks were constructed based on the Euclidean distance metric. In addition, the convolutional neural network (CNN) model was selected to analyze and classify three groups based on individualized networks. Results: The coupling analysis demonstrated that weaker SC–FC couplings related to lung cancer itself were present at various levels, including global, regional, inter-network, and intra-network couplings. Notably, hyper-couplings related to bone metastasis pain were present in several brain regions, mainly involving the default mode network, frontoparietal network, salience network, and limbic system. Significant positive correlations were observed between regional coupling in the right amygdala and the numeric rating scale scores in BMP+. Moreover, CNN model built on individualized networks exhibited relatively great classification performance. Conclusion: Alterations in SC–FC coupling patterns may play a crucial role in the development and modulation of bone metastasis pain. Understanding these changes could provide valuable insights into the neural mechanisms underlying cancer pain.http://www.sciencedirect.com/science/article/pii/S036192302500022XBone metastasis painResting-state functional magnetic resonance imagingDiffusion spectrum imagingBrain networksStructure-function coupling |
| spellingShingle | Jiahui Zheng Chengfang Wang Xiaoyu Zhou Yu Tang Lin Tang Yong Tan Jing Zhang Hong Yu Jiuquan Zhang Daihong Liu Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients Brain Research Bulletin Bone metastasis pain Resting-state functional magnetic resonance imaging Diffusion spectrum imaging Brain networks Structure-function coupling |
| title | Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients |
| title_full | Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients |
| title_fullStr | Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients |
| title_full_unstemmed | Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients |
| title_short | Structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients |
| title_sort | structural and functional connectivity coupling as an imaging marker for bone metastasis pain in lung cancer patients |
| topic | Bone metastasis pain Resting-state functional magnetic resonance imaging Diffusion spectrum imaging Brain networks Structure-function coupling |
| url | http://www.sciencedirect.com/science/article/pii/S036192302500022X |
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