Brain Network Alterations in Rectal Cancer Survivors With Depression Tendency: Evaluation With Multimodal Magnetic Resonance Imaging

被引:3
作者
Zhang, Wenwen [1 ]
Zou, Ying [2 ]
Zhao, Feng [3 ]
Yang, Yongqing [4 ]
Mao, Ning [5 ,6 ]
Li, Yuan [4 ]
Huang, Gang [1 ]
Yao, Zhijun [7 ]
Hu, Bin [7 ,8 ,9 ,10 ]
机构
[1] Gansu Prov Hosp, Dept Radiol, Lanzhou, Peoples R China
[2] Yantai Vocat Coll, Dept Informat Engn, Yantai, Peoples R China
[3] Shandong Technol & Business Univ, Sch Comp Sci & Technol, Yantai, Peoples R China
[4] Shandong Technol & Business Univ, Sch Management Sci & Engn, Yantai, Peoples R China
[5] Yantai Yuhuangding Hosp, Dept Radiol, Yantai, Peoples R China
[6] Qingdao Univ, Yantai Yuhuangding Hosp, Big Data & Artificial Intelligence Lab, Yantai, Peoples R China
[7] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Peoples R China
[8] Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou, Peoples R China
[9] Shanghai Inst Biol Sci, Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techno, Shanghai, Peoples R China
[10] Capital Med Univ, Beijing Inst Brain Disorders, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
rectal cancer; depression tendency; functional network; structural network; multimodal research; STATE FUNCTIONAL CONNECTIVITY; BREAST-CANCER; CHEMOTHERAPY; FMRI; CLASSIFICATION; PREVALENCE; PATTERNS; DEFICITS; ANXIETY; CORTEX;
D O I
10.3389/fneur.2022.791298
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Surgery and chemotherapy may increase depression tendency in patients with rectal cancer (RC). Nevertheless, few comprehensive studies are conducted on alterations of brain network induced by depression tendency in patients with RC. Resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) data were collected from 42 patients with RC with surgery and chemotherapy and 38 healthy controls (HCs). Functional network (FN) was constructed from extracting average time courses in brain regions, and structural network (SN) was established by deterministic tractography. Graph theoretical analysis was used to calculate network properties. Networks resilient of two networks were assessed. Clinical correlation analysis was explored between altered network parameters and Hamilton depression scale (HAMD) score. This study revealed impaired FN and SN at both local and global levels and changed nodal efficiency and abnormal small-worldness property in patients with RC. On the whole, all FNs are more robust than SN. Moreover, compared with HC, patients with RC show less robustness in both networks. Regions with decreased nodal efficiency were associated with HAMD score. These cognitive dysfunctions are mainly attributable to depression-related brain functional and structural network alterations. Brain network reorganization is to prevent patients with RC from more serious depression after surgery and chemotherapy.
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页数:11
相关论文
共 63 条
[1]   Graph Theory Analysis of Cortical-Subcortical Networks in Late-Life Depression [J].
Ajilore, Olusola ;
Lamar, Melissa ;
Leow, Alex ;
Zhang, Aifeng ;
Yang, Shaolin ;
Kumar, Anand .
AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2014, 22 (02) :195-206
[2]   Changes in Brain Structural Networks and Cognitive Functions in Testicular Cancer Patients Receiving Cisplatin-Based Chemotherapy [J].
Amidi, Ali ;
Hosseini, S. M. Hadi ;
Leemans, Alexander ;
Kesler, Shelli R. ;
Agerbaek, Mads ;
Wu, Lisa M. ;
Zachariae, Robert .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2017, 109 (12)
[3]   Graph-Theoretical Analysis Reveals Disrupted Small-World Organization of Cortical Thickness Correlation Networks in Temporal Lobe Epilepsy [J].
Bernhardt, Boris C. ;
Chen, Zhang ;
He, Yong ;
Evans, Alan C. ;
Bernasconi, Neda .
CEREBRAL CORTEX, 2011, 21 (09) :2147-2157
[4]   Recovery from chemotherapy-induced white matter changes in young breast cancer survivors? [J].
Billiet, Thibo ;
Emsell, Louise ;
Vandenbulcke, Mathieu ;
Peeters, Ronald ;
Christiaens, Daan ;
Leemans, Alexander ;
Van Hecke, Wim ;
Smeets, Ann ;
Amant, Frederic ;
Sunaert, Stefan ;
Deprez, Sabine .
BRAIN IMAGING AND BEHAVIOR, 2018, 12 (01) :64-77
[5]   Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures [J].
Braun, Urs ;
Plichta, Michael M. ;
Esslinger, Christine ;
Sauer, Carina ;
Haddad, Leila ;
Grimm, Oliver ;
Mier, Daniela ;
Mohnke, Sebastian ;
Heinz, Andreas ;
Erk, Susanne ;
Walter, Henrik ;
Seiferth, Nina ;
Kirsch, Peter ;
Meyer-Lindenberg, Andreas .
NEUROIMAGE, 2012, 59 (02) :1404-1412
[6]   Altered Brain Functional Connectivity in Small-Cell Lung Cancer Patients after Chemotherapy Treatment: A Resting-State fMRI Study [J].
Bromis, Konstantinos ;
Gkiatis, Kostakis ;
Karanasiou, Irene ;
Matsopoulos, George ;
Karavasilis, Eustratios ;
Papathanasiou, Matilda ;
Efstathopoulos, Efstathios ;
Kelekis, Nikolaos ;
Kouloulias, Vasileios .
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2017, 2017
[7]   Altered resting state functional brain network topology in chemotherapy-treated breast cancer survivors [J].
Bruno, Jennifer ;
Hosseini, S. M. Hadi ;
Kesler, Shelli .
NEUROBIOLOGY OF DISEASE, 2012, 48 (03) :329-338
[8]   Differential Abnormal Pattern of Anterior Cingulate Gyrus Activation in Unipolar and Bipolar Depression: an fMRI and Pattern Classification Approach [J].
Buerger, Christian ;
Redlich, Ronny ;
Grotegerd, Dominik ;
Meinert, Susanne ;
Dohm, Katharina ;
Schneider, Ilona ;
Zaremba, Dario ;
Foerster, Katharina ;
Alferink, Judith ;
Boelte, Jens ;
Heindel, Walter ;
Kugel, Harald ;
Arolt, Volker ;
Dannlowski, Udo .
NEUROPSYCHOPHARMACOLOGY, 2017, 42 (07) :1399-1408
[9]   Brain Graphs: Graphical Models of the Human Brain Connectome [J].
Bullmore, Edward T. ;
Bassett, Danielle S. .
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, 2011, 7 :113-140
[10]   Prechemotherapy alterations in brain function in women with breast cancer [J].
Cimprich, Bernadine ;
Reuter-Lorenz, Patricia ;
Nelson, James ;
Clark, Patricia M. ;
Therrien, Barbara ;
Normolle, Daniel ;
Berman, Marc G. ;
Hayes, Daniel F. ;
Noll, Douglas C. ;
Peltier, Scott ;
Welsh, Robert C. .
JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY, 2010, 32 (03) :324-331