Exploring Brain-Body Interactions in Parkinson’s Disease: A Study on Dual-Task Performance

帕金森病 对偶(语法数字) 任务(项目管理) 疾病 神经科学 心理学 医学 物理医学与康复 认知心理学 内科学 艺术 工程类 文学类 系统工程
作者
Maryam Sousani,Raul Fernandez Rojas,Elisabeth Preston,Maryam Ghahramani
出处
期刊:IEEE Transactions on Neural Systems and Rehabilitation Engineering [Institute of Electrical and Electronics Engineers]
卷期号:: 1-1
标识
DOI:10.1109/tnsre.2025.3546278
摘要

Parkinson's disease (PD) leads to impairments in cortical structures, resulting in motor and cognitive symptoms. Given the connection between brain structure deficits and physical symptoms in PD, assessing objective brain activity and body motion could provide valuable insights for PD assessment and understanding its underlying mechanisms. This study aimed to explore the connection between brain activity and body movement metrics in a group of individuals with PD and an age-matched healthy control (HC) group. The goal was to evaluate the feasibility of using brain and body motion measures for assessing PD. Participants from both groups underwent the Timed Up and Go (TUG) test under three conditions: simple TUG, cognitive dual-task TUG (CDTUG), and motor dual-task TUG (MDTUG). Key findings include: Both groups exhibited similar activation patterns in the prefrontal cortex (PFC) during the simple TUG, with motor performance differences observed in cadence. During CDTUG, both groups showed the highest PFC activation with more pronounced motor impairments, such as higher stride and step time. During MDTUG, the HC group exhibited significantly higher PFC activity compared to the PD group. While both groups had similar patterns of activation in PFC area while TUG and CDTUG, they showed distinct behaviour during MDTUG. These results suggest that motor and cognitive impairments in PD are more pronounced during complex activities. While MDTUG effectively differentiated between PD and HC groups, the findings indicate that both cognitive and motor dual-tasks are essential for comprehensive PD assessment.

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
ddd完成签到,获得积分10
刚刚
洁净的丹翠完成签到,获得积分10
1秒前
缥缈襄完成签到,获得积分10
1秒前
1秒前
1秒前
WW发布了新的文献求助10
2秒前
柠栀发布了新的文献求助10
2秒前
ttttt发布了新的文献求助20
2秒前
3秒前
今后应助王一一采纳,获得10
3秒前
3秒前
3秒前
3秒前
辣条我有呀完成签到,获得积分10
3秒前
Huang完成签到,获得积分10
4秒前
4秒前
nuutt发布了新的文献求助10
4秒前
米亚宽关注了科研通微信公众号
5秒前
所所应助liyichen采纳,获得10
5秒前
bhjgj发布了新的文献求助10
5秒前
5秒前
Hello应助忧郁紫翠采纳,获得10
5秒前
cc完成签到,获得积分10
6秒前
爱学习完成签到 ,获得积分10
6秒前
6秒前
6秒前
6秒前
星星印章发布了新的文献求助10
6秒前
缥缈书本发布了新的文献求助10
7秒前
dan完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
9秒前
9秒前
xtx发布了新的文献求助10
9秒前
小蘑菇应助hhhhhhan616采纳,获得30
10秒前
413115348发布了新的文献求助10
10秒前
罗兴鲜发布了新的文献求助10
10秒前
科研通AI6.1应助BAOBAO采纳,获得10
11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 6016585
求助须知:如何正确求助?哪些是违规求助? 7598872
关于积分的说明 16152829
捐赠科研通 5164343
什么是DOI,文献DOI怎么找? 2764666
邀请新用户注册赠送积分活动 1745638
关于科研通互助平台的介绍 1634978