Effect of chemotherapy on default mode network connectivity in older women with breast cancer

被引:0
作者
Bihong T. Chen
Zikuan Chen
Sunita K. Patel
Russell C. Rockne
Chi Wah Wong
James C. Root
Andrew J. Saykin
Tim A. Ahles
Andrei I. Holodny
Can-Lan Sun
Mina S. Sedrak
Heeyoung Kim
Ashley Celis
Vani Katheria
William Dale
机构
[1] City of Hope National Medical Center,Department of Diagnostic Radiology
[2] City of Hope National Medical Center,Center for Cancer and Aging
[3] City of Hope National Medical Center,Department of Population Science
[4] City of Hope National Medical Center,Division of Mathematical Oncology
[5] City of Hope National Medical Center,Applied AI and Data Science
[6] Memorial Sloan Kettering Cancer Center,Neurocognitive Research Laboratory
[7] Indiana University School of Medicine,Center for Neuroimaging
[8] Memorial Sloan-Kettering Cancer Center,Department of Radiology
[9] City of Hope National Medical Center,Department of Medical Oncology
[10] City of Hope National Medical Center,Department of Supportive Care Medicine
来源
Brain Imaging and Behavior | 2022年 / 16卷
关键词
Cancer‐related cognitive impairment (CRCI); Breast cancer; Chemotherapy; Episodic memory; Default mode network;
D O I
暂无
中图分类号
学科分类号
摘要
Chemotherapy may impair cognition and contribute to accelerated aging. The purpose of this study was to assess the effects of chemotherapy on the connectivity of the default mode network (DMN) in older women with breast cancer. This prospective longitudinal study enrolled women aged ≥ 60 years with stage I–III breast cancer (CTx group) and matched healthy controls (HC group). Study assessments, consisting of resting-state functional MRI (rs-fMRI) and the Picture Sequence Memory (psm) test for episodic memory from the NIH Toolbox for Cognition, were obtained at baseline and within one month after the completion of chemotherapy for the CTx group and at matched intervals for the HC group. Two-sample t-test and FDR multiple comparison were used for statistical inference. Our analysis of the CTx group (N = 19; 60–82 years of age, mean = 66.6, SD = 5.24) compared to the HC group (N = 14; 60–78 years of age, mean = 68.1, SD = 5.69) revealed weaker DMN subnetwork connectivity in the anterior brain but stronger connectivity in the posterior brain at baseline. After chemotherapy, this pattern was reversed, with stronger anterior connectivity and weaker posterior connectivity. In addition, the meta-level functional network connectivity (FNC) among the DMN subnetworks after chemotherapy was consistently weaker than the baseline FNC as seen in the couplings between anterior cingulate cortex (ACC) and retrosplenial (rSplenia) region, with ΔFNC(‘ACC’,’rSplenia’)=-0.14, t value=-2.44, 95 %CI=[-0.27,-0.10], pFDR<0.05). The baseline FNC matrices of DMN subnetworks were correlated with psm scores (corr = 0.58, p < 0.05). Our results support DMN alterations as a potential neuroimaging biomarker for cancer-related cognitive impairment and accelerated aging.
引用
收藏
页码:43 / 53
页数:10
相关论文
共 135 条
[1]  
Ahles TA(2018)New Challenges in Psycho-Oncology Research IV: Cognition and cancer: Conceptual and methodological issues and future directions Psycho-Oncology 27 3-9
[2]  
Hurria A(2018)Cognitive effects of cancer and cancer treatments Annual Review of Clinical Psychology 14 425-451
[3]  
Ahles TA(2007)Candidate mechanisms for chemotherapy-induced cognitive changes Nature Reviews Cancer 7 192-201
[4]  
Root JC(2011)Neural complexity: a graph theoretic interpretation Physical Review. E: Statistical, Nonlinear, and Soft Matter Physics 83 041906-300
[5]  
Ahles TA(1995)Controlling the false discovery rate: A practical and powerful approach to multiple testing Journal of the Royal Statistical Society, Series B (Methodological) 57 269-338
[6]  
Saykin AJ(2012)Altered resting state functional brain network topology in chemotherapy-treated breast cancer survivors Neurobiol Dis 48 329-40
[7]  
Barnett L(2020)Connectome analysis of brain functional network alterations in breast cancer survivors with and without chemotherapy PLoS One 15 e0232548-13853
[8]  
Buckley CL(2018)Effect of spatial smoothing on task fMRI ICA and functional connectivity Frontiers in Neuroscience 12 15-62
[9]  
Bullock S(2012)Resting-state fMRI as a biomarker for Alzheimer’s disease? Alzheimer’s Research & Therapy 4 8-231
[10]  
Benjamini Y(2017)Effects of aging on functional and structural brain connectivity Neuroimage 160 32-532