scholarly journals Relating Global and Local Connectome Changes to Dementia and Targeted Gene Expression in Alzheimer's Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Samar S. M. Elsheikh ◽  
Emile R. Chimusa ◽  
Nicola J. Mulder ◽  
Alessandro Crimi ◽  

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 gene expression 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 Alzheimer's 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. For instance, 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 Alzheimer's genetic risk factors in the estimation of regional brain connectivity alterations.

2019 ◽  
Author(s):  
Samar S. M. Elsheikh ◽  
Emile R. Chimusa ◽  
Nicola J. Mulder ◽  
Alessandro Crimi ◽  

ABSTRACTNetworks 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 and genetics 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 Alzheimer’s 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 and HFE genes increases the change over time respectively in betweenness centrality related to the fusiform gyrus and clustering coefficient of the cingulum bundle. We also show that the betweenness centrality metric highlights impact dementia-related changes in distinct brain regions. Ourfindings provide insights into the complex longitudinal interplay between genetics and brain characteristics and highlight the role of Alzheimer’s genetic risk factors in the estimation of regional brain connection alterations.


2020 ◽  
Vol 16 (S2) ◽  
Author(s):  
Chen Ming ◽  
Edoardo Marcora ◽  
Minghui Wang ◽  
Alan E. Renton ◽  
Erming Wang ◽  
...  

2013 ◽  
Vol 9 ◽  
pp. P551-P552
Author(s):  
Ardeshir Omoumi ◽  
Alice Fok ◽  
Talitha Greenwood ◽  
Dessa Sadovnick ◽  
Howard Feldman ◽  
...  

2003 ◽  
Vol 4 (3) ◽  
pp. 161-178 ◽  
Author(s):  
Katharina Schindowski ◽  
Tilmann Kratzsch ◽  
Jürgen Peters ◽  
Barbara Steiner ◽  
Silke Leutner ◽  
...  

2004 ◽  
Vol 25 ◽  
pp. S25-S26
Author(s):  
Alison M. Goate ◽  
Petra Nowotny ◽  
Tony Hinrichs ◽  
Scott Smemo ◽  
Keoni Kawe ◽  
...  

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