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Disturbed Dynamic Brain Activity and Neurovascular Coupling in End-Stage Renal Disease Assessed With MRI
Yuhan Jiang1,2, Wei Du2, Yuan Li2
1Department of Radiology, Zhongshan Hospital Affiliated to Dalian University, Dalian, China.
Journal of Magnetic Resonance Imaging : JMRI
|September 4, 2024
Summary
End-stage renal disease (ESRD) patients show altered brain activity and neurovascular coupling (NVC). Dynamic brain activity measures best distinguish ESRD patients, with the CBF/dfALFF ratio showing strong classification performance.
Area of Science:
- Neuroscience
- Nephrology
- Radiology
Background:
- Cognitive impairment in end-stage renal disease (ESRD) has unclear pathophysiological mechanisms.
- Limited research exists on temporal variability of neural activity and its coupling with regional perfusion in ESRD.
Purpose of the Study:
- To assess neural activity and neurovascular coupling (NVC) in ESRD patients.
- To evaluate the classification performance of these abnormalities.
- To explore relationships between neural/NVC abnormalities and cognitive function.
Main Methods:
- Prospective study involving 33 ESRD patients and 35 healthy controls (HCs).
- Utilized 3.0T/3D pseudo-continuous arterial spin labeling, resting-state functional MRI, and 3D-T1 weighted structural imaging.
- Assessed dynamic (dfALFF) and static (sfALFF) fractional amplitude of low-frequency fluctuations, cerebral blood flow (CBF), CBF-fALFF correlations, CBF/fALFF ratios, and cerebral small vessel disease (CSVD) MRI features.
Main Results:
- ESRD patients showed higher dfALFF in the left IFGtriang and left MTG, and lower CBF/dfALFF and CBF/sfALFF ratios in several brain regions.
- The CBF/dfALFF ratio demonstrated superior classification performance (AUC=0.916) in distinguishing ESRD patients from HCs compared to other measures.
- In ESRD patients, decreased CBF/fALFF ratios correlated with renal impairment, increased CSVD burden, and cognitive decline.
Conclusions:
- ESRD patients exhibit abnormal dynamic brain activity and impaired NVC.
- Dynamic brain activity features show superior discriminative capacity for identifying ESRD.
- The CBF/dfALFF ratio is a powerful classification tool for distinguishing ESRD patients.

