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Updated: Sep 23, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Aberrant static and dynamic functional network connectivity in heart failure with preserved ejection fraction
Liang Jiang1, Shenghua Liu1, Lin Li2
1Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Heart failure with preserved ejection fraction (HFpEF) alters brain connectivity. Patients showed disrupted functional network connectivity (FNC), linked to cardiac dimensions, potentially explaining cognitive issues.
Area of Science:
- Neuroscience
- Cardiology
- Medical Imaging
Background:
- Heart failure with preserved ejection fraction (HFpEF) is associated with cognitive impairment.
- Brain functional alterations may underlie cognitive deficits in HFpEF patients.
Purpose of the Study:
- To investigate static and dynamic functional network connectivity (FNC) alterations in HFpEF.
- To explore the relationship between altered FNC and clinical features in HFpEF.
Main Methods:
- Utilized resting-state functional magnetic resonance imaging (fMRI) in 35 HFpEF patients and 35 healthy controls (HCs).
- Applied independent component analysis (ICA) for resting-state networks (RSNs) and performed FNC analyses.
- Correlated FNC findings with clinical HFpEF parameters.
Main Results:
- HFpEF patients exhibited decreased FNC in default mode, left, and right frontoparietal networks compared to HCs.
- Increased FNC was observed in the right frontoparietal and visual networks in HFpEF.
- Decreased dynamic FNC correlated negatively with left ventricular end-diastolic and end-systolic diameters.
Conclusions:
- Functional network connectivity disruption and altered temporal dynamics in HFpEF suggest neural mechanisms of brain injury.
- These findings contribute to understanding the neurological impact of HFpEF.
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