Resting-State Functional Connectivity of Sensorimotor and Default Mode Networks and Lower Limb Performance in Chronic Stroke: A Cross-Sectional Study

IF 2.6 3区心理学 Q2 BEHAVIORAL SCIENCES

Brain and Behavior Pub Date : 2025-05-07 DOI:10.1002/brb3.70519

Svetlana Pundik, Margaret M. Skelly, Jessica P. McCabe, Ahlam I. Salameh, Trenley Anderson, Kelsey Rose Duncan, Terri Hisel, Sarah J. A. Carr

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引用次数: 0

Abstract

Introduction

Stroke disrupts functional brain connectivity, yet how this relates to lower limb motor and sensory abilities is not well understood. Greater knowledge of movement-related brain connectivity can aide in the development of better interventions for recovery after stroke. Our objective was to evaluate the relationship between lower limb performance and resting-state functional connectivity (rsFC) of large-scale brain networks for individuals with chronic motor deficits (> 6 months) after stroke.

Methods

Resting-state functional magnetic resonance imaging and lower limb clinical measures were collected for 37 individuals. Regions of interest (ROI)-to-ROI connectivity analysis was conducted for cortical sensorimotor network (SMN) (cortical SMN), SMN with both cortical and subcortical ROIs (SMN), and default mode network (DMN). Relationship of ROI–ROI connectivity and clinical measures or lesion load was assessed using general linear models. Graph theory metrics (global efficiency, clustering coefficient, and betweenness centrality) were related to clinical measures using elastic nets analysis.

Results

Greater connectivity between several SMN and DMN ROI pairs was associated with better gait speed, Timed-Up-and-Go score, and monofilament perception. The majority of ROI pairs showing statistically significant relationship with clinical measures were interhemispheric, non-homologous, and cortical-to-subcortical. Elastic net analysis for graph theory metrics revealed complexity and multi-directionality of the relationship of the individual ROIs to clinical outcomes and lesion load. There were unique sets of ROIs associated with each clinical measure for different graph metrics.

Conclusions

rsFC between specific ROIs within SMN and DMN are related to lower limb performance. Non-homologous interhemispheric ROI-to-ROI connectivity was featured in the analysis. Graph theory analysis demonstrates the complex role that an individual ROI has in relation to sensorimotor function of lower extremity.

Trial Registration

Clinicialtrials.gov registration number NCT03666533

Abstract Image

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静息状态下感觉运动网络和默认模式网络的功能连通性与慢性中风的下肢表现：一项横断面研究

中风破坏了大脑的功能性连接，但这与下肢运动和感觉能力的关系尚不清楚。更多的运动相关的大脑连接的知识可以帮助开发更好的干预中风后恢复。我们的目的是评估慢性运动障碍患者的下肢功能与大尺度脑网络静息状态功能连通性（rsFC）之间的关系。中风后6个月)。方法收集37例患者静息状态功能磁共振成像及下肢临床资料。对皮质感觉运动网络（SMN）（皮质SMN）、同时具有皮质和皮质下ROI的SMN （SMN）和默认模式网络（DMN）进行感兴趣区域（ROI）到感兴趣区域的连通性分析。使用一般线性模型评估ROI-ROI连通性与临床措施或病变负荷的关系。图论指标（整体效率、聚类系数和中间性中心性）与使用弹性网分析的临床措施相关。结果：SMN和DMN之间的连通性越好，步态速度越快，time - up -and- go得分越高，单丝感知能力越强。大多数与临床测量有统计学显著关系的ROI对是半球间的、非同源的和皮层到皮层下的。图论指标的弹性网分析揭示了个体roi与临床结果和病变负荷之间关系的复杂性和多向性。对于不同的图表指标，每个临床测量都有独特的roi集。结论SMN和DMN内特定roi之间的rsFC与下肢表现有关。分析的特点是非同源的半球间ROI-to-ROI连通性。图论分析表明，单个ROI与下肢感觉运动功能的关系是复杂的。临床试验。gov注册号NCT03666533

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来源期刊

Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES

CiteScore

5.30

自引率

0.00%

发文量

352

审稿时长

14 weeks

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