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

Journal: Frontiers in human neuroscience

Volume: 15

Issue: 

Year of Publication: 

Affiliated Institutions:  Pharmacogenetic Research Clinic, Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada. Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa. Computational Biology Division, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa. Computer Vision Group, Sano Centre for Computational Medicine, Kraków, Poland.

Abstract summary 

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 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.

Authors & Co-authors:  Elsheikh Samar S M SSM Chimusa Emile R ER Mulder Nicola J NJ Crimi Alessandro A

Study Outcome 

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Statistics
Citations :  Aganj I., Lenglet C., Sapiro G., Yacoub E., Ugurbil K., Harel N. (2010). Reconstruction of the orientation distribution function in single-and multiple-shell q-ball imaging within constant solid angle. Magn. Reson. Med. 64, 554–566. 10.1002/mrm.22365
Authors :  5
Identifiers
Doi : 761424
SSN : 1662-5161
Study Population
Male,Female
Mesh Terms
Other Terms
Alzheimer's disease;MRI;PLAU;connectivity metrics;connectome;dementia;diffusion-weighted imaging;gene expression
Study Design
Longitudinal Study,Cross Sectional Study
Study Approach
Country of Study
Publication Country
Switzerland