A novel MRI-based volumetric index for monitoring the motor symptoms in Parkinson's disease

物理医学与康复 不稳 帕金森病 队列 步态 运动障碍 医学 物理疗法 心理学 疾病 内科学
作者
Anupa A. Vijayakumari,Nageswara Mandava,Olivia Hogue,Hubert H. Fernandez,Benjamin L. Walter
出处
期刊:Journal of the Neurological Sciences [Elsevier BV]
卷期号:453: 120813-120813
标识
DOI:10.1016/j.jns.2023.120813
摘要

Conventional MRI scans have limited usefulness in monitoring Parkinson's disease as they typically do not show any disease-specific brain abnormalities. This study aimed to identify an imaging biomarker for tracking motor symptom progression by using a multivariate statistical approach that can combine gray matter volume information from multiple brain regions into a single score specific to each PD patient.A cohort of 150 patients underwent MRI at baseline and had their motor symptoms tracked for up to 10 years using MDS-UPDRS-III, with motor symptoms focused on total and subscores, including rigidity, bradykinesia, postural instability, and gait disturbances, resting tremor, and postural-kinetic tremor. Gray matter volume extracted from MRI data was summarized into a patient-specific summary score using Mahalanobis distance, MGMV. MDS-UPDRS-III's progression and its association with MGMV were modeled via linear mixed-effects models over 5- and 10-year follow-up periods.Over the 5-year follow-up, there was a significant increase (P < 0.05) in MDS-UPDRS-III total and subscores, except for postural-kinetic tremor. Over the 10-year follow-up, all MDS-UPDRS-III scores increased significantly (P < 0.05). A higher baseline MGMV was associated with a significant increase in MDS-UPDRS-III total, bradykinesia, postural instability and gait disturbances, and resting tremor (P < 0.05) over the 5-year follow-up, but only with total, bradykinesia, and postural instability and gait disturbances during the 10-year follow-up (P < 0.05).Higher MGMV scores were linked to faster motor symptom progression, suggesting it could be a valuable marker for clinicians monitoring Parkinson's disease over time.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
momo123完成签到 ,获得积分10
1秒前
妮妮妮完成签到 ,获得积分10
2秒前
fiveby完成签到 ,获得积分10
2秒前
cheche发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
希望天下0贩的0应助xiaowang采纳,获得20
3秒前
willow完成签到 ,获得积分10
3秒前
5秒前
8秒前
9秒前
10秒前
英俊小鼠发布了新的文献求助10
11秒前
可爱的函函应助0224采纳,获得10
11秒前
一只东北鸟完成签到 ,获得积分10
12秒前
14秒前
14秒前
二水完成签到,获得积分10
14秒前
returno_0完成签到 ,获得积分10
14秒前
15秒前
hpc完成签到,获得积分10
19秒前
量子星尘发布了新的文献求助10
20秒前
英俊小鼠完成签到,获得积分10
20秒前
21秒前
hellohtc发布了新的文献求助10
21秒前
幂霓发布了新的文献求助10
22秒前
Owen应助Charlie采纳,获得10
25秒前
25秒前
纯真的元风完成签到,获得积分10
27秒前
28秒前
自由寻冬完成签到 ,获得积分10
30秒前
31秒前
32秒前
liwei完成签到,获得积分10
34秒前
慕青应助甜心采纳,获得30
35秒前
科研通AI6应助hellohtc采纳,获得10
36秒前
文艺Chelsey完成签到,获得积分10
37秒前
37秒前
AJoe发布了新的文献求助10
37秒前
ZeKaWa应助科研通管家采纳,获得10
37秒前
科目三应助科研通管家采纳,获得10
37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
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4920420
求助须知:如何正确求助?哪些是违规求助? 4191975
关于积分的说明 13019917
捐赠科研通 3962759
什么是DOI,文献DOI怎么找? 2172281
邀请新用户注册赠送积分活动 1190132
关于科研通互助平台的介绍 1098951