Abstract
Vascular Endothelial Growth Factor A (VEGF-A) is an angiogenic signaling protein involved in the maintenance of the cerebral vasculature. No prior study has explored whether plasma VEGF-A levels may be associated with brain functional connectivity changes, such as disruption of the default mode network (DMN), which often precedes the development of cognitive changes in aging. Seventy-six independently living older adults (mean age = 70.3 years; SD = 7.5; 31.6% male) free of dementia or clinical stroke underwent venipuncture and brain MRI. Plasma was assayed for VEGF-A. Using resting state functional MRI, region of interest (ROI) to ROI connectivity and graph theory analysis were conducted to determine average connectivity and global efficiency between each of the following ROIs comprising the DMN: medial prefrontal cortex, lateral parietal cortex and precuneus cortex. Multiple linear regression analysis revealed a significant negative association between VEGF-A levels and DMN connectivity (B = − 0.14, 95% CI (-0.26, − 0.01), p =.038), accounting for age, sex, education, and vascular risk factors. Graph theory analysis similarly revealed that VEGF-A levels are associated with global efficiency of the entire network (B = − 0.18, p =.004). These findings suggest that VEGF-A may be elevated early in the progression of neurocognitive disorders. Whether higher levels of VEGF-A contribute to the pathogenesis of neurocognitive disorders or play a protective role in preserving cognitive function warrants further investigation. Clinical Trial Number: N/A; None.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 379-383 |
| Number of pages | 5 |
| Journal | Brain Imaging and Behavior |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2025 |
Keywords
- Default network connectivity
- Vascular endothelial growth factor A
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Neurology
- Clinical Neurology
- Cognitive Neuroscience
- Psychiatry and Mental health
- Cellular and Molecular Neuroscience
- Behavioral Neuroscience
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