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Dynamic Changes in Functional Network Connectivity Involving Amyotrophic Lateral Sclerosis and Its Correlation With Disease Severity
Author(s) -
Chen HuaJun,
Zou ZhangYu,
Zhang XiaoHong,
Shi JiaYan,
Huang NaoXin,
Lin YanJuan
Publication year - 2021
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.27521
Subject(s) - dynamic functional connectivity , amyotrophic lateral sclerosis , default mode network , correlation , resting state fmri , medicine , neuroscience , functional connectivity , disease , psychology , radiology , mathematics , geometry
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