Frontiers in Human NeuroscienceBioinformaticsPeer-reviewed journal article
Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease
Samar S. M. ElsheikhiD, Emile Rugamika ChimusaiD, Alzheimer’s Disease Neuroimaging Initiative, Nicola MulderiD, Alessandro CrimiiD
Abstract
Networks are present in many aspects of our lives, and networks in neuroscience have recently gained much attention leading to novel representations of brain connectivity. The integration of neuroimaging characteristics and genetics data allows a better understanding of the effects of the genetic variations on brain structural and functional connections. The current work uses whole-brain tractography in a longitudinal setting, and by measuring the brain structural connectivity changes studies the neurodegeneration of Alzheimers disease. This is accomplished by examining the effect of targeted genetic risk factors on the most common local and global brain connectivity measures. Furthermore, we examined the extent to which Clinical Dementia Rating relates to brain connections longitudinally, as well as to gene expression. Here we show that the expression of PLAU gene increases the change over time in betweenness centrality related to the fusiform gyrus. We also show that the betweenness centrality metric impact dementia-related changes in distinct brain regions. Our findings provide insights into the complex longitudinal interplay between genetics and brain characteristics and highlight the role of Alzheimers genetic risk factors in the estimation of regional brain connectivity alterations.
- organism: human
- assay: imaging
- assay: DNA methylation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: trajectory inference
- approach: statistical model
- approach: experimental assay
- Citations
- 8
- FWCI
- 0.79
- Field percentile
- top 32%
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