Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22675
Title: White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism?
Authors: De Marco, M
Manca, R
Mitolo, M
Venneri, A
Issue Date: 3-Aug-2017
Publisher: Hindawi
Citation: De Marco, M., Manca, R., Mitolo, M. and Venneri, A. (2017) 'White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism?', Neural Plasticity, 2017, 4050536, pp. 1 - 10. doi: 10.1155/2017/4050536.
Abstract: © 2017 The Authors. White matter hyperintensities (WMHs) are acquired lesions that accumulate and disrupt neuron-to-neuron connectivity. We tested the associations between WMH load and (1) regional grey matter volumes and (2) functional connectivity of resting-state networks, in a sample of 51 healthy adults. Specifically, we focused on the positive associations (more damage, more volume/connectivity) to investigate a potential route of adaptive plasticity. WMHs were quantified with an automated procedure. Voxel-based morphometry was carried out to model grey matter. An independent component analysis was run to extract the anterior and posterior default-mode network, the salience network, the left and right frontoparietal networks, and the visual network. Each model was corrected for age, global levels of atrophy, and indices of brain and cognitive reserve. Positive associations were found with morphometry and functional connectivity of the anterior default-mode network and salience network. Within the anterior default-mode network, an association was found in the left mediotemporal-limbic complex. Within the salience network, an association was found in the right parietal cortex. The findings support the suggestion that, even in the absence of overt disease, the brain actuates a compensatory (neuroplastic) response to the accumulation of WMH, leading to increases in regional grey matter and modified functional connectivity.
URI: https://bura.brunel.ac.uk/handle/2438/22675
DOI: https://doi.org/10.1155/2017/4050536
ISSN: 2090-5904
Appears in Collections:Dept of Life Sciences Research Papers

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