1
|
Wei X, Lai Y, Lan X, Tan Y, Zhang J, Liu J, Chen J, Wang C, Zhou X, Tang Y, Liu D, Zhang J. Uncovering brain functional connectivity disruption patterns of lung cancer-related pain. Brain Imaging Behav 2024:10.1007/s11682-023-00836-9. [PMID: 38316730 DOI: 10.1007/s11682-023-00836-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2023] [Indexed: 02/07/2024]
Abstract
Pain is a pervasive symptom in lung cancer patients during the onset of the disease. This study aims to investigate the connectivity disruption patterns of the whole-brain functional network in lung cancer patients with cancer pain (CP+). We constructed individual whole-brain, region of interest (ROI)-level functional connectivity (FC) networks for 50 CP+ patients, 34 lung cancer patients without pain-related complaints (CP-), and 31 matched healthy controls (HC). Then, a ROI-based FC analysis was used to determine the disruptions of FC among the three groups. The relationships between aberrant FCs and clinical parameters were also characterized. The ROI-based FC analysis demonstrated that hypo-connectivity was present both in CP+ and CP- patients compared to HC, which were particularly clustered in the somatomotor and ventral attention, frontoparietal control, and default mode modules. Notably, compared to CP- patients, CP+ patients had hyper-connectivity in several brain regions mainly distributed in the somatomotor and visual modules, suggesting these abnormal FC patterns may be significant for cancer pain. Moreover, CP+ patients also showed increased intramodular and intermodular connectivity strength of the functional network, which could be replicated in cancer stage IV and lung adenocarcinoma. Finally, abnormal FCs within the prefrontal cortex and somatomotor cortex were positively correlated with pain intensity and pain duration, respectively. These findings suggested that lung cancer patients with cancer pain had disrupted connectivity in the intrinsic brain functional network, which may be the underlying neuroimaging mechanisms.
Collapse
Affiliation(s)
- Xiaotong Wei
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Yong Lai
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Xiaosong Lan
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Yong Tan
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Jing Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Jiang Liu
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Jiao Chen
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Chengfang Wang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Xiaoyu Zhou
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Yu Tang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China
| | - Daihong Liu
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China.
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Hanyu Road No. 181, Shapingba District, Chongqing, 400030, China.
| |
Collapse
|
2
|
Lian J, Sun W, Dong F, Zhu X, Sun X, Jia S, Gao L, Wei M. Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method. Open Life Sci 2023; 18:20220709. [PMID: 37954100 PMCID: PMC10638839 DOI: 10.1515/biol-2022-0709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/25/2023] [Accepted: 08/03/2023] [Indexed: 11/14/2023] Open
Abstract
Cancer patients should be concerned about depression, which can negatively impact their mental health. To develop efficient therapies, it is essential to comprehend the connection between cancer and depression. This study used neuroimaging to investigate the use of mediator-deuterium acupuncture (MDA) for people with cancer-induced depression and its effects on brain regions associated with depression. Resting-state functional magnetic resonance imaging and neurocognitive testing were conducted on the participants, and statistical package for the social sciences was utilized to analyze the behavioral data. Clinical and theoretical data were analyzed to evaluate acupuncture's effectiveness against gynecological cancer. In the research, there were 40 participants, 20 in each group. Except for psychomotor speed, there was no discernible difference in pre-chemotherapy cognitive test results between patients and healthy controls (HCs). However, there were substantial differences in post-treatment cognition test results, showing that the patient group had progressed. According to longitudinal graph analysis, the patient group's local and global brain efficiency significantly declined, and lower local efficiency was associated with lower raw Trail Making Test-A results. Furthermore, poorer verbal memory scores were associated with lower overall performance in the sick group but not in the HC group. According to the research, MDA has potential as a supplemental therapy since it may improve brain function and address depression-related neurological abnormalities in cancer patients. More research is required to fully comprehend the variations between cancer and depression-related brain areas during patient therapy, maybe incorporating MDA.
Collapse
Affiliation(s)
- Jianlun Lian
- Department of Oncology One, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
| | - Weiyuan Sun
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
- Ministry of Human Resources, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
| | - Fang Dong
- Department of Oncology One, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
| | - Xueliang Zhu
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
- Department of Brain Disease II, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
| | - Xue Sun
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
- Functional Department, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
| | - Songtao Jia
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
- Acupuncture Rehabilitation Department, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
| | - Limin Gao
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
- Catheter room, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
| | - Meimei Wei
- Department of Oncology One, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei, 050011, China
- Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research (Hebei), Shijiazhuang, Hebei050011, China
| |
Collapse
|
3
|
Chen G, Wu C, Liu Y, Fang Z, Luo L, Lai X, Wang W, Dong L. Altered temporal-parietal morphological similarity networks in non-small cell lung cancer patients following chemotherapy: an MRI preliminary study. Brain Imaging Behav 2022; 16:2543-2555. [PMID: 35917054 DOI: 10.1007/s11682-022-00709-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2022] [Indexed: 11/02/2022]
Abstract
Non-small cell lung cancer (NSCLC) accounts for more than 85% of all lung cancer cases, and chemotherapy-related brain changes (known as "chemobrain") in NSCLC patients were found in previous studies. However, the effects of platinum-based chemotherapy on brain structural networks are still unclear. Structural magnetic resonance imaging (sMRI) data were collected from 32 NSCLC patients following platinum-based chemotherapy, 36 NSCLC patients without chemotherapy, and 39 healthy controls. Clinical physiological indicators of patients were collected. Then, morphological similarity networks were constructed using MRI data, and topological properties were calculated using graph theory method. Differences between three groups were investigated using one-way ANOVA and two-sample t-test, and relations between topological properties and clinical physiological indicators were calculated. We found that degree and nodal efficiency in temporal-parietal networks were significantly reduced in NSCLC patients following platinum-based chemotherapy compared to healthy controls/patients without chemotherapy (F-test, p < 0.001; post hoc t-test, p < 0.01, Bonferroni corrected). These changes (p < 0.05) were positively correlated with clinical measures, including thrombocytes, granulocytes and hemoglobin, and were negatively correlated with measures of triglycerides and cholesterol levels. Network properties including clustering coefficient (F(2,104) = 41.435, p < 0.001), number of K-edges (F(2,104) = 40.304, p < 0.001), density of K-edges (F(2,104) = 40.304, p < 0.001), global efficiency (F(2,104) = 42.585, p < 0.001) and small-world (F(2,104) = 37.132, p < 0.001) were also significantly reduced (post hoc t-test, p < 0.01, Bonferroni corrected). These results indicate that platinum-based chemotherapy might cause cerebrovascular damage and clinical indicators' changes, which then cause the properties of morphological similarity networks' changes in the temporal and parietal lobes. This study may help us better understand the "chemobrain" in NSCLC patients.
Collapse
Affiliation(s)
- Gong Chen
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.,MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Chuan Wu
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuan Liu
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.,MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zengyi Fang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Liping Luo
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Lai
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Weidong Wang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
| | - Li Dong
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, University of Electronic Science and Technology of China, Chengdu, China. .,MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. .,Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, 2019RU035, China. .,Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, 611731, China.
| |
Collapse
|
4
|
Liu S, Yin N, Li C, Li X, Ni J, Pan X, Ma R, Wu J, Feng J, Shen B. Topological Abnormalities of Pallido-Thalamo-Cortical Circuit in Functional Brain Network of Patients With Nonchemotherapy With Non-small Cell Lung Cancer. Front Neurol 2022; 13:821470. [PMID: 35211086 PMCID: PMC8860807 DOI: 10.3389/fneur.2022.821470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/07/2022] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Some previous studies in patients with lung cancer have mainly focused on exploring the cognitive dysfunction and deficits of brain function associated with chemotherapy. However, little is known about functional brain alterations that might occur prior to chemotherapy. Therefore, this study aimed to evaluate brain functional changes in patients with nonchemotherapy before chemotherapy with non-small cell lung cancer (NSCLC). METHODS Resting-state functional MRI data of 35 patients with NSCLC and 46 matched healthy controls (HCs) were acquired to construct functional brain networks. Graph theoretical analysis was then applied to investigate the differences of the network and nodal measures between groups. Finally, the receiver operating characteristic (ROC) curve analysis was performed to distinguish between NSCLC and HC. RESULTS Decreased nodal strength was found in the left inferior frontal gyrus (opercular part), inferior frontal gyrus (triangular part), inferior occipital gyrus, and right inferior frontal gyrus (triangular part) of patients with NSCLC while increased nodal strength was found in the right pallidum and thalamus. NSCLC also showed decreased nodal betweenness in the right superior occipital gyrus. Different hub regions distribution was found between groups, however, no hub regions showed group differences in the nodal measures. Furthermore, the ROC curve analysis showed good performance in distinguishing NSCLC from HC. CONCLUSION These results suggested that topological abnormalities of pallido-thalamo-cortical circuit in functional brain network might be related to NSCLC prior to chemotherapy, which provided new insights concerning the pathophysiological mechanisms of NSCLC and could serve as promising biological markers for the identification of patients with NSCLC.
Collapse
Affiliation(s)
- Siwen Liu
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Na Yin
- Department of Radiology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Chenchen Li
- Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoyou Li
- Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Ni
- Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Xuan Pan
- Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Rong Ma
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jianzhong Wu
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jifeng Feng
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.,Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Bo Shen
- Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
5
|
Mentzelopoulos A, Karanasiou I, Papathanasiou M, Kelekis N, Kouloulias V, Matsopoulos GK. A Comparative Analysis of White Matter Structural Networks on SCLC Patients After Chemotherapy. Brain Topogr 2022; 35:352-362. [PMID: 35212837 DOI: 10.1007/s10548-022-00892-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/02/2022] [Indexed: 12/16/2022]
Abstract
Previous sMRI, DTI and rs-fMRI studies in small cell lung cancer (SCLC) patients have reported that patients after chemotherapy had gray and white matter structural alterations along with functional deficits. Nonetheless, few are known regarding the potential alterations in the topological organization of the WM structural network in SCLC patients after chemotherapy. In this context, the scope of the present study is to evaluate the WM structural network of 20 SCLC patients after chemotherapy and to 14 healthy controls, by applying a combination of DTI with graph theory. The results revealed that both SCLC and healthy controls groups demonstrated small world properties. The SCLC patients had decreased values in the clustering coefficient, local efficiency and degree metrics as well as increased shortest path length when compared to the healthy controls. Moreover, the two groups reported different topological reorganization of hub distribution. Lastly, the SCLC patients exhibited significantly decreased structural connectivity in comparison to the healthy group. These results underline that the topological organization of the WM structural network in SCLC patients was disrupted and hence constitute new vital information regarding the effects that chemotherapy and cancer may have in the patients' brain at network level.
Collapse
Affiliation(s)
- Anastasios Mentzelopoulos
- School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.
| | | | - Matilda Papathanasiou
- Radiotherapy Unit, 2nd Department of Radiology, ATTIKON University Hospital, Athens, Greece
| | - Nikolaos Kelekis
- Radiotherapy Unit, 2nd Department of Radiology, ATTIKON University Hospital, Athens, Greece
| | - Vasileios Kouloulias
- Radiotherapy Unit, 2nd Department of Radiology, ATTIKON University Hospital, Athens, Greece
| | - George K Matsopoulos
- School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
| |
Collapse
|
6
|
You J, Zhang J, Shang S, Gu W, Hu L, Zhang Y, Xiong Z, Chen YC, Yin X. Altered Brain Functional Network Topology in Lung Cancer Patients After Chemotherapy. Front Neurol 2021; 12:710078. [PMID: 34408724 PMCID: PMC8367296 DOI: 10.3389/fneur.2021.710078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/05/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose: This study aimed to explore the topological features of brain functional network in lung cancer patients before and after chemotherapy using graph theory. Methods: Resting-state functional magnetic resonance imaging scans were obtained from 44 post-chemotherapy and 46 non-chemotherapy patients as well as 49 healthy controls (HCs). All groups were age- and gender-matched. Then, the topological features of brain functional network were assessed using graph theory analysis. Results: At the global level, compared with the HCs, both the non-chemotherapy group and the post-chemotherapy group showed significantly increased values in sigma (p < 0.05), gamma (p < 0.05), and local efficiency, Eloc (p < 0.05). The post-chemotherapy group and the non-chemotherapy group did not differ significantly in the above-mentioned parameters. At the nodal level, when non-chemotherapy or post-chemotherapy patients were compared with the HCs, abnormal nodal centralities were mainly observed in widespread brain regions. However, when the post-chemotherapy group was compared with the non-chemotherapy group, significantly decreased nodal centralities were observed primarily in the prefrontal–subcortical regions. Conclusions: These results indicate that lung cancer and chemotherapy can disrupt the topological features of functional networks, and chemotherapy may cause a pattern of prefrontal–subcortical brain network abnormality. As far as we know, this is the first study to report that altered functional brain networks are related to lung cancer and chemotherapy.
Collapse
Affiliation(s)
- Jia You
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Juan Zhang
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing, China
| | - Song'an Shang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Wei Gu
- Department of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Lanyue Hu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yujie Zhang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhenyu Xiong
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| |
Collapse
|