Jordi Manuello, Andrea Nani, Enrico Premi, Barbara Borroni, Tommaso Costa, Karina Tatu, Donato Liloia, Sergio Duca, Franco Cauda
Abstract
Gray matter alterations are typical features of brain disorders. However, they do not impact on the brain randomly. Indeed, it has been suggested that neuropathological processes can selectively affect certain assemblies of neurons, which typically are at the center of crucial functional networks. Because of their topological centrality, these areas form acore setthat is more likely to be affected by neuropathological processes. In order to identify and study the pattern formed by brain alterations in patients' with Alzheimer's disease (AD), we devised an innovative meta-analytic method for analyzing voxel-based morphometry data. This methodology enabled us to discover that in AD gray matter alterations do not occur randomly across the brain but, on the contrary, follow identifiable patterns of distribution. This alteration pattern exhibits a network-like structure composed of coaltered areas that can be defined ascoatrophy network. Within thecoatrophy networkof AD, we were able to further identify a core subnetwork of coaltered areas that includes the left hippocampus, left and right amygdalae, right parahippocampal gyrus, and right temporal inferior gyrus. In virtue of their network centrality, these brain areas can be thought of aspathoconnectivity hubs.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2019.
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#14,101,675
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Outputs of similar age from Frontiers in Neurology
#76
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