Brain network topology and future development of freezing of gait in Parkinson’s disease: a longitudinal study

连接体 神经科学 帕金森病 中心性 医学 脑回 神经组阅片室 步态 物理医学与康复 心理学 神经学 功能连接 疾病 内科学 数学 组合数学
作者
Nannan Li,Du Lei,Jiaxin Peng,Xueling Suo,Junying Li,Liren Duan,Chaolan Chen,Qiyong Gong,Rong Peng
出处
期刊:Journal of Neurology [Springer Nature]
卷期号:269 (5): 2503-2512 被引量:9
标识
DOI:10.1007/s00415-021-10817-x
摘要

Freezing of gait (FOG) is a common disabling gait disturbance in Parkinson's disease (PD). The objectives of this study were to explore alterations in the topological organization of whole-brain functional networks in patients with PD who will develop FOG.We recruited 20 patients with PD who developed FOG (PD-FOGt) during a 5-year follow-up period, 20 patients with PD who did not developed FOG (PD-FOGn) within the follow-up period, and 20 healthy control subjects. Using graph theory approaches, we performed a comparative analysis of the topological organization of whole-brain functional networks among the groups, and further explored their potential relationships with latency to develop FOG.At baseline, the global topological properties of functional brain networks in PD-FOGt and PD-FOGn showed no abnormalities. Additionally, regarding regional topological properties, compared with PD-FOGn patients, PD-FOGt patients exhibited decreased nodal centrality in the left middle frontal gyrus (MFG). Although there were no significant differences compared with PD-FOGn patients, the PD-FOGt group exhibited the lowest nodal centrality values in the frontal cortex (left gyrus rectus), and visual cortex (bilateral inferior occipital gyrus and left fusiform gyrus), and the highest nodal centrality values in the cerebellum (vermis_6) among the three groups. However, no relationship was found between the nodal centrality in above brain regions and latency to develop FOG.This study demonstrates the disrupted regional topological organization might contribute to the future development of FOG in PD patients, especially associated with damage to the left MFG.
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
sv发布了新的文献求助10
1秒前
小田完成签到,获得积分10
1秒前
茶茶完成签到,获得积分20
1秒前
苏兴龙完成签到,获得积分10
1秒前
坚强的亦云-333完成签到,获得积分10
1秒前
Ava应助dan1029采纳,获得10
2秒前
2秒前
2秒前
奶糖最可爱完成签到,获得积分10
3秒前
3秒前
mojomars发布了新的文献求助10
4秒前
幽壑之潜蛟应助茶茶采纳,获得10
4秒前
5秒前
5秒前
5秒前
迅速海云完成签到,获得积分10
5秒前
sjxx发布了新的文献求助10
5秒前
5秒前
乐乐应助Rachel采纳,获得10
6秒前
6秒前
6秒前
天天快乐应助孤独的珩采纳,获得10
7秒前
帅气鹭洋发布了新的文献求助20
7秒前
8秒前
孙悦发布了新的文献求助10
8秒前
知性的绮兰完成签到,获得积分10
8秒前
8秒前
9秒前
Zzzoey完成签到,获得积分10
10秒前
10秒前
10秒前
英姑应助桂魄采纳,获得10
10秒前
10秒前
流北爷发布了新的文献求助10
11秒前
开心完成签到,获得积分10
11秒前
gguc发布了新的文献求助10
12秒前
万能图书馆应助okghy采纳,获得10
12秒前
12秒前
怕黑道消完成签到 ,获得积分10
12秒前
王小布完成签到,获得积分10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794