The influence of genetic factors and cognitive reserve on structural and functional resting-state brain networks in ageing and Alzheimer’s disease
- 1Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Australia
- 2University of Tasmania, Australia
Magnetic resonance imaging (MRI) offers significant insight into the complex organization of neural networks within the human brain. Using resting-state functional MRI data, topological maps can be created to visualize changes in brain activity, as well as to represent and assess the structural and functional connections between different brain regions. Crucially, Alzheimer’s disease (AD) is associated with progressive loss in this connectivity, which is particularly evident within the default mode network. In this paper, we review the recent literature on how factors that are associated with risk of dementia may influence the organization of the brain network structures. In particular, we focus on cognitive reserve and the common genetic polymorphisms of APOE and BDNF Val66Met.
Keywords: fMRI,, Alzheimer's disease, Default Mode Network, Cognitive Reserve, BDNF, APOE
Received: 01 Nov 2018;
Accepted: 01 Feb 2019.
Edited by:Rodrigo Morales, University of Texas Health Science Center at Houston, United States
Reviewed by:Ramesh Kandimalla, Texas Tech University Health Sciences Center, United States
Claudia Duran-Aniotz, Universidad de Chile, Chile
Copyright: © 2019 Pietzuch. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ms. Manuela Pietzuch, Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, Australia, email@example.com