Brain network deficits in breast cancer patients after early neoadjuvant chemotherapy: A longitudinal MRI study

乳腺癌 肿瘤科 医学 连接体 内科学 心理学 神经科学 功能连接 癌症
作者
Jing Yang,Yongchun Deng,Daihong Liu,Yong Tan,Lin Meng,Xiaoyu Zhou,Jing Zhang,Hong Yu,Yixin Hu,Yu Tang,Shixi Jiang,Jiuquan Zhang
出处
期刊:Journal of Neuroscience Research [Wiley]
卷期号:101 (7): 1138-1153 被引量:8
标识
DOI:10.1002/jnr.25178
摘要

Breast cancer (BC) patients who undergo chemotherapy are likely to develop chemotherapy-related cognitive impairment (CRCI). Recent studies of BC patients after chemotherapy have used graph theory to investigate the topological properties of the brain functional connectome. However, little is known about structural morphological networks in BC patients after early neoadjuvant chemotherapy (NAC). Brain morphological network organization in 47 female participants with BC was investigated before and after NAC. Topological properties of brain networks were ascertained based on morphological similarities in regional gray matter using a graph theory approach based on 3D T1-weighted MRI data. Nonparametric permutation testing was used to assess longitudinal-group differences in topological metrics. Compared with BC patients before NAC, BC patients after early NAC showed significantly increased global efficiency (p = .048), decreased path length (p = .033), and abnormal nodal properties and connectivity, mainly located in the central executive network (CEN). The change in the network efficiency of the right caudate was negatively correlated with the change in the Self-Rating Anxiety Scale score (r = -.435, p = .008), and the change in the nodal degree of the left superior frontal gyrus (dorsolateral part) was positively correlated with the change in the Functional Assessment of Cancer Therapy score (r = .547, p = .002). BC participants showed randomization in global properties and dysconnectivity in the CEN after early NAC. NAC may disrupt the cognitive balance of the brain morphological network in individuals with BC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xiaochenxiaochen完成签到,获得积分10
刚刚
coco完成签到,获得积分10
1秒前
小调完成签到,获得积分10
1秒前
yuzhi完成签到,获得积分10
3秒前
原来我不帅完成签到,获得积分10
3秒前
学医不要停完成签到,获得积分10
4秒前
眼睛大的傲菡完成签到,获得积分10
5秒前
livra1058发布了新的文献求助10
8秒前
灰太狼完成签到,获得积分10
8秒前
怡然猎豹完成签到,获得积分0
10秒前
Wjh123456完成签到,获得积分0
10秒前
啧啧完成签到 ,获得积分10
11秒前
俊秀的思山完成签到,获得积分10
13秒前
哈哈哈完成签到,获得积分10
14秒前
Larry1226完成签到,获得积分10
14秒前
笑林完成签到 ,获得积分10
16秒前
杪夏二八完成签到 ,获得积分10
17秒前
小瓶盖完成签到 ,获得积分10
17秒前
雅典的宠儿完成签到 ,获得积分10
18秒前
白夜完成签到,获得积分10
19秒前
WZH完成签到 ,获得积分10
22秒前
ccy完成签到,获得积分10
22秒前
开心向真完成签到,获得积分10
22秒前
麦冬粑粑完成签到,获得积分10
25秒前
litn完成签到 ,获得积分10
26秒前
jos完成签到,获得积分10
26秒前
DCC完成签到,获得积分10
26秒前
hhr完成签到 ,获得积分10
28秒前
xzy998应助科研通管家采纳,获得10
30秒前
xzy998应助科研通管家采纳,获得10
30秒前
今后应助科研通管家采纳,获得10
30秒前
30秒前
30秒前
30秒前
30秒前
你好完成签到,获得积分10
31秒前
yangkaiyu完成签到,获得积分10
32秒前
Jenkin完成签到,获得积分10
33秒前
香芋完成签到 ,获得积分10
39秒前
研究生完成签到 ,获得积分10
40秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6355811
求助须知:如何正确求助?哪些是违规求助? 8170527
关于积分的说明 17201135
捐赠科研通 5411774
什么是DOI,文献DOI怎么找? 2864385
邀请新用户注册赠送积分活动 1841922
关于科研通互助平台的介绍 1690224