Dynamic Changes in Functional Network Connectivity Involving Amyotrophic Lateral Sclerosis and Its Correlation With Disease Severity

动态功能连接 肌萎缩侧索硬化 默认模式网络 相关性 医学 静息状态功能磁共振成像 神经科学 功能连接 疾病 内科学 心理学 数学 几何学
作者
Hua‐Jun Chen,Zhang‐Yu Zou,Xiaohong Zhang,Jia‐Yan Shi,Nao‐Xin Huang,Yanjuan Lin
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:54 (1): 239-248 被引量:15
标识
DOI:10.1002/jmri.27521
摘要

Abstract Background Aberrant static functional connectivity (FC) has been well demonstrated in amyotrophic lateral sclerosis (ALS); however, ALS‐related alterations in FC dynamic properties remain unclear, although dynamic FC analyses contribute to uncover mechanisms underlying neurodegenerative disorders. Purpose To explore dynamic functional network connectivity (dFNC) in ALS and its correlation with disease severity. Study Type Prospective. Subjects Thirty‐two ALS patients and 45 healthy controls. Field Strength/Sequence Multiband resting‐state functional images using gradient echo echo‐planar imaging and T1‐weighted images were acquired at 3.0 T. Assessment Disease severity was evaluated with the revised ALS Functional Rating Scale (ALSFRS‐R) and patients were stratified according to diagnostic category. Independent component analysis was conducted to identify the components of seven intrinsic brain networks (ie, visual/sensorimotor (SMN)/auditory/cognitive‐control (CCN)/default‐mode (DMN)/subcortical/cerebellar networks). A sliding‐window correlation approach was used to compute dFNC. FNC states were determined by k ‐mean clustering, and state‐specific FNC and dynamic indices (fraction time/mean dwell time/transition number) were calculated. Statistical Tests Two‐sample t test used for comparisons on dynamic measures and Spearman's correlation analysis. Results ALS patients showed increased FNC between DMN‐SMN in state 1 and between CCN‐SMN in state 4. Patients remained in state 2 (showing the weakest FNC) for a significantly longer time (mean dwell time: 49.8 ± 40.1 vs. 93.6 ± 126.3; P < 0.05) and remained in state 1 (showing a relatively strong FNC) for a shorter time (fraction time: 0.27 ± 0.25 vs. 0.13 ± 0.20; P < 0.05). ALS patients exhibited less temporal variability in their FNC (transition number: 10.2 ± 4.4 vs. 7.8 ± 3.8; P < 0.05). A significant correlation was observed between ALSFRS‐R and mean dwell time in state 2 ( r = −0.414, P < 0.05) and transition number ( r = 0.452, P < 0.05). No significant between‐subgroup difference in dFNC properties was found (all P > 0.05). Data Conclusion Our findings suggest aberrant dFNC properties in ALS, which is associated with disease severity. Level of Evidence 2 Technical Efficacy Stage 3
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