An Electroencephalography Profile of Paroxysmal Kinesigenic Dyskinesia

阵发性运动障碍 脑电图 运动障碍 医学 内科学 精神科 疾病 帕金森病
作者
Huichun Luo,Xiaojun Huang,Ziyi Li,Wotu Tian,Taotao Liu,Shige Wang,Beisha Tang,Ti‐Fei Yuan,Li Cao
标识
DOI:10.2139/ssrn.4542175
摘要

Background: Paroxysmal kinesigenic dyskinesia (PKD) associates with disturbance of neural circuit and network activities, while its neurophysiological characteristics have not been fully elucidated.Methods: This study utilized the high-density electroencephalogram (hd-EEG) signals to detect abnormal brain activity of PKD and provide a neural biomarker for its clinical diagnosis and monitoring of PKD progression. We recorded hd-EEG from two independent datasets (96 PKD patients and 98 health controls in dataset 1, and 31 PKD patients in dataset 2) in eye-open and eye-closed paradigms, which was then source-localized for measuring the oscillatory activities and function connectivity (FC) patterns of cortical and subcortical regions. Results: The abnormal elevation of theta oscillation represented the most remarkable physiological feature for PKD, involving the cerebellum, subcortical, limbic network (LN), somatomotor network (SMN), and default mode network (DMN); these changes returned to healthy control level in remission patients. Another remarkable feature of PKD was the decreased high-gamma FCs in the non-remission patients, mainly including DMN, dorsal attention network (DAN), SMN, and ventral attention network (VAN). Subtype analyses reported that increased theta oscillations might be related to the emotional trigger type of PKD, while the decreased high-gamma FCs were related to the motor symptoms of PKD. Finally, we established connectome-based predictive modelling (CPM) and successfully identified the remission state in PKD patients in dataset 1 (AUC of ROC = 0.995) and dataset 2 (AUC of the ROC=0.735). Interpretation: Our findings establish a clinically relevant electroencephalography profile of PKD and indicate that hd-EEG can provide robust neural biomarkers to evaluate the prognosis of PKD. Funding: Outstanding Academic Leaders of Shanghai (23XD1402500), Training program for research physicians of innovative translational ability (SHDC2022CRD037), and National Natural Science Foundation of China (No. 81870889).Declaration of Interest: The authors report no competing interests.Ethical Approval: All participants or their guardians signed written informed consent, and ethics approval was granted by the research ethics boards of the Shanghai Sixth People’s Hospital (Approval No: 2021-219).
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
刚刚
虚幻三问应助青春采纳,获得10
刚刚
Aw完成签到,获得积分10
刚刚
Roger完成签到,获得积分10
1秒前
1秒前
Ideal应助kx采纳,获得50
1秒前
Serein发布了新的文献求助10
1秒前
1秒前
1秒前
娃哈哈发布了新的文献求助10
1秒前
wang发布了新的文献求助10
2秒前
时光发布了新的文献求助10
2秒前
刘金磊完成签到,获得积分10
3秒前
天天快乐应助xiaoxiao采纳,获得10
3秒前
海绵崽崽完成签到,获得积分10
4秒前
王嘉鑫发布了新的文献求助10
4秒前
第一个月亮yu完成签到,获得积分10
4秒前
4秒前
4秒前
kk发布了新的文献求助20
4秒前
KC发布了新的文献求助10
4秒前
英俊的铭应助LGZ采纳,获得10
5秒前
苏楠发布了新的文献求助10
5秒前
wanci应助tianj采纳,获得10
5秒前
Alon关注了科研通微信公众号
5秒前
LiuZheng完成签到,获得积分10
5秒前
6秒前
温暖冬易发布了新的文献求助10
6秒前
明日鎏金完成签到,获得积分10
6秒前
yyy发布了新的文献求助10
6秒前
拼搏梦岚发布了新的文献求助30
6秒前
hwiseo发布了新的文献求助30
7秒前
7秒前
优美的明辉完成签到 ,获得积分10
7秒前
Roger发布了新的文献求助150
7秒前
阔达静曼发布了新的文献求助10
9秒前
phil发布了新的文献求助10
9秒前
gan完成签到,获得积分10
9秒前
木樱发布了新的文献求助10
10秒前
无限大山完成签到,获得积分10
10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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016328
求助须知:如何正确求助?哪些是违规求助? 7598066
关于积分的说明 16152053
捐赠科研通 5164097
什么是DOI,文献DOI怎么找? 2764589
邀请新用户注册赠送积分活动 1745493
关于科研通互助平台的介绍 1634946