Back to Search
Start Over
Aberrant cortical morphology patterns are associated with cognitive impairment in patients with chronic heart failure.
- Source :
-
European Journal of Neuroscience . Jul2024, Vol. 60 Issue 2, p3973-3983. 11p. - Publication Year :
- 2024
-
Abstract
- A mounting body of evidences suggests that patients with chronic heart failure (HF) frequently experience cognitive impairments, but the neuroanatomical mechanism underlying these impairments remains elusive. In this retrospective study, 49 chronic HF patients and 49 healthy controls (HCs) underwent brain structural MRI scans and cognitive assessments. Cortical morphology index (cortical thickness, complexity, sulcal depth and gyrification) were evaluated. Correlations between cortical morphology and cognitive scores and clinical variables were explored. Logistic regression analysis was employed to identify risk factors for predicting 3‐year major adverse cardiovascular events. Compared with HCs, patients with chronic HF exhibited decreased cognitive scores (p <.001) and decreased cortical thickness, sulcal depth and gyrification in brain regions involved cognition, sensorimotor, autonomic nervous system (family‐wise error correction, all p values <.05). Notably, HF duration and New York Heart Association (NYHA) demonstrated negative correlations with abnormal cortex morphology, particularly HF duration and thickness in left precentral gyrus (r = −.387, p =.006). Cortical morphology characteristics exhibited positive associations with global cognition, particularly cortical thickness in left pars opercularis (r =.476, p <.001). NYHA class is an independent risk factor for adverse outcome (p =.001). The observed correlation between abnormal cortical morphology and global cognition suggested that cortical morphology may serve as a promising imaging biomarker and provide insights into neuroanatomical underpinnings of cognitive impairment in patients with chronic HF. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0953816X
- Volume :
- 60
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- European Journal of Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 178531993
- Full Text :
- https://doi.org/10.1111/ejn.16382