Roy Joy, Reynolds William, Panigrahy Ashok, Ceschin Rafael
Department of Biomedical Informatics, University of Pittsburgh School of Medicine, United States.
Department of Pediatric Radiology, UPMC Children's Hospital of Pittsburgh, United States.
medRxiv. 2024 Apr 20:2024.04.19.24306106. doi: 10.1101/2024.04.19.24306106.
Children and adolescents with congenital heart disease (CHD) frequently experience neurodevelopmental impairments that can impact academic performance, memory, attention, and behavioral function, ultimately affecting overall quality of life. This study aims to investigate the impact of CHD on functional brain network connectivity and cognitive function. Using resting-state fMRI data, we examined several network metrics across various brain regions utilizing weighted networks and binarized networks with both absolute and proportional thresholds. Regression models were fitted to patient neurocognitive exam scores using various metrics obtained from all three methods. Our results unveil significant differences in network connectivity patterns, particularly in temporal, occipital, and subcortical regions, across both weighted and binarized networks. Furthermore, we identified distinct correlations between network metrics and cognitive performance, suggesting potential compensatory mechanisms within specific brain regions.
患有先天性心脏病（CHD）的儿童和青少年经常出现神经发育障碍，这可能会影响学业成绩、记忆力、注意力和行为功能，最终影响整体生活质量。本研究旨在调查CHD对功能性脑网络连通性和认知功能的影响。利用静息态功能磁共振成像（fMRI）数据，我们使用加权网络和具有绝对阈值及比例阈值的二值化网络，检查了各个脑区的多个网络指标。使用从所有三种方法获得的各种指标，将回归模型拟合到患者的神经认知检查分数上。我们的结果揭示了加权网络和二值化网络在网络连通性模式上的显著差异，特别是在颞叶、枕叶和皮质下区域。此外，我们确定了网络指标与认知表现之间的独特相关性，表明特定脑区内可能存在代偿机制。
