Related Experiment Video
Updated: Nov 18, 2025

Real-Time Fluorescent Measurement of Synaptic Functions in Models of Amyotrophic Lateral Sclerosis
Published on: July 16, 2021
Dynamic Changes in Functional Network Connectivity Involving Amyotrophic Lateral Sclerosis and Its Correlation With
Hua-Jun Chen1, Zhang-Yu Zou2, Xiao-Hong Zhang1
1Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
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.
Related Concept Videos
Neural Regulation
Parkinson's Disease: Overview

