Key result
Chronic heart failure is linked to early occipital cortical and subcortical neuroimaging alterations on 3.0T MRI.
Why the study?
Previous neuroimaging studies in chronic heart failure largely relied on a single modality and focused on patients with overt cognitive symptoms. Systematic multi-modality imaging evidence integrating cerebral blood flow, brain structure, and function in cognitively normal heart failure patients was lacking.
Does 3.0T multi-modality brain MRI identify subclinical alterations in cerebral blood flow, gray matter volume, and regional homogeneity in cognitively normal chronic heart failure patients compared to matched non-HF controls?
Case-Control (n=81)
Does 3.0T multi-modality brain MRI identify subclinical alterations in cerebral blood flow, gray matter volume, and regional homogeneity in cognitively normal chronic heart failure patients compared to matched non-HF controls?
Cognitively normal chronic heart failure patients already exhibit subclinical brain alterations on multimodal MRI characterized by cortical hypoperfusion/atrophy and subcortical compensation, which correlate with LVEF.
Background Chronic heart failure (HF) is an independent risk factor for cognitive impairment, with cerebral hypoperfusion serving as the core pathological pathway mediating HF-related brain dysfunction. Previous studies have largely relied on a single imaging modality and focused on HF patients with overt cognitive symptoms. However, systematic multi-modality imaging evidence integrating cerebral blood flow, brain structure, and function remains lacking in HF patients with normal cognitive function. Objective To investigate aberrant multi-modality brain imaging patterns in cognitively normal HF patients by combining arterial spin labeling (ASL), voxel-based morphometry (VBM), and regional homogeneity (ReHo), thereby providing evidence for the early identification of HF-related subclinical brain alterations. Methods Forty-seven patients with chronic HF diagnosed according to guideline criteria and 34 non-HF controls rigorously matched for age, sex, years of education, and underlying cardiovascular diseases were enrolled. All participants underwent cognitive assessments and 3.0T multi-modality MRI scanning to obtain cerebral blood flow (CBF), gray matter volume, and ReHo parameters. Between-group comparisons were performed using two-sample t-tests controlling for key covariates, followed by rigorous correction for multiple comparisons. The spatial overlap patterns of multi-modality abnormalities and their correlations with left ventricular ejection fraction (LVEF) were analyzed. Results No significant differences in cognitive scale scores were observed between the two groups (P > 0.05). Extensive brain imaging abnormalities were already present in HF patients: the left occipital cortex exhibited triple negative alterations characterized by decreased CBF, gray matter atrophy, and reduced ReHo (FDR correction, P < 0.001); the bilateral basal ganglia and cerebellum showed compensatory dual alterations with increased CBF and elevated ReHo (FDR correction, P < 0.001). Imaging metrics in the left occipital region were significantly positively correlated with LVEF (P < 0.01). Conclusions Characteristic multi-modality brain imaging alterations exist in cognitively normal HF patients, featuring a distinct pattern of "cortical negative alterations—subcortical compensation". Multi-modality MRI may provide sensitive biomarkers for the early identification of HF-related subclinical brain abnormalities.Figure2Figure1
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Pan et al. (2026) conducted a case-control in Cognitively normal chronic heart failure (n=81). Chronic heart failure vs. Non-heart failure controls matched for age, sex, education, and cardiovascular diseases was evaluated on Multi-modality brain imaging parameters (cerebral blood flow, gray matter volume, and regional homogeneity) (p=<0.001). Chronic heart failure in cognitively normal patients was associated with left occipital cortical triple-negative alterations and subcortical compensatory increases on 3.0T MRI (FDR P<0.001).
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