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Front Neurol. 2018 Jan 25;8:739. doi: 10.3389/fneur.2017.00739. eCollection 2017.

The Pathoconnectivity Profile of Alzheimer's Disease: A Morphometric Coalteration Network Analysis.

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GCS-fMRI, Department of Psychology, Koelliker Hospital, University of Turin, Turin, Italy.
FOCUS Laboratory, Department of Psychology, University of Turin, Turin, Italy.
Michael Trimble Neuropsychiatry Research Group, Birmingham and Solihull Mental Health NHS Foundation Trust, Birmingham, United Kingdom.
Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.


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 a core set that 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 as coatrophy network. Within the coatrophy network of 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 as pathoconnectivity hubs.


Alzheimer’s disease; brain alterations; coatrophy network; gray matter atrophy; pathoconnectivity hubs; tauopathy; voxel-based morphometry

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