Static and Dynamic Characteristics of Functional Network Connectivity in Neurologically Asymptomatic Patients
Die Zhang1,2, Yingying Chen1,3, Jing Shen1
1Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China.
Journal of Magnetic Resonance Imaging : JMRI
|June 28, 2022
Summary
Neurologically asymptomatic patients on maintenance hemodialysis exhibit altered static and dynamic functional network connectivity (sFNC and dFNC). These brain connectivity changes correlate with cognitive function and anxiety, offering insights into neuropathological damage mechanisms.
Area of Science:
- Neuroscience
- Radiology
- Nephrology
Background:
- Static functional network connectivity (sFNC) and dynamic FNC (dFNC) characteristics remain unknown in neurologically asymptomatic patients undergoing maintenance hemodialysis.
- Understanding these brain connectivity patterns may elucidate mechanisms of neuropathological damage in this population.
Purpose of the Study:
- To investigate the static and dynamic functional network connectivity (FNC) in neurologically asymptomatic patients on maintenance hemodialysis.
- To examine the associations between FNC parameters and neuropsychological scores, as well as blood biomarkers.
Main Methods:
- Retrospective study involving 23 hemodialysis patients and 25 healthy controls.
- 3.0T MRI/functional MRI and 3D-T1 structural imaging were used to assess sFNC and dFNC strengths and temporal parameters.
- Neuropsychological and blood biochemical tests were conducted.
Main Results:
- Significant differences in sFNC and dFNC strengths were observed between patient and control groups.
- sFNC strength correlated with global cognitive function (MoCA) and anxiety scores.
- Dynamic FNC parameters (mean dwell time, fractional window) showed positive correlations with cognitive task performance.
Conclusions:
- Patients undergoing maintenance hemodialysis demonstrate impaired sFNC and dFNC, even without neurological symptoms.
- These findings provide novel insights into the neuropathological damage mechanisms in patients on maintenance hemodialysis.
Keywords:
cognitive functiondynamic brain networkend-stage renal diseasefunctional network connectivityindependent component analysismaintenance hemodialysis

