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Distance disintegration delineates the brain connectivity failure of Alzheimer's disease

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dc.contributor.author Costumero, Víctor
dc.contributor.author Uquillas, Federico d'Oleire
dc.contributor.author Díez, Ibai
dc.contributor.author Andorrà, Magí
dc.contributor.author Basaia, Silvia
dc.contributor.author Bueichekú, Elisenda
dc.contributor.author Ortiz Terán, Laura
dc.contributor.author Belloch, Vicente
dc.contributor.author Escudero Torrella, Joaquin
dc.contributor.author Ávila, César
dc.contributor.author Sepulcre, Jorge
dc.date.accessioned 2020-03-19T10:55:42Z
dc.date.issued 2020
dc.identifier.citation Costumero V, Uquillas FdO, Díez I, Andorrà M, Basaia S, Bueichekú E, Ortiz-Terán L, Belloch V, Escudero Torrella J, Ávila C, Sepulcre J. Distance disintegration delineates the brain connectivity failure of Alzheimer's disease. Neurobiol Aging. 2019 Dec 14. DOI: 10.1016/j.neurobiolaging.2019.12.005
dc.identifier.issn 0197-4580
dc.identifier.uri http://hdl.handle.net/10230/43956
dc.description.abstract Alzheimer's disease (AD) is associated with brain network dysfunction. Network-based investigations of brain connectivity have mainly focused on alterations in the strength of connectivity; however, the network breakdown in AD spectrum is a complex scenario in which multiple pathways of connectivity are affected. To integrate connectivity changes that occur under AD-related conditions, here we developed a novel metric that computes the connectivity distance between cortical regions at the voxel level (or nodes). We studied 114 individuals with mild cognitive impairment, 24 with AD, and 27 healthy controls. Results showed that areas of the default mode network, salience network, and frontoparietal network display a remarkable network separation, or greater connectivity distances, from the rest of the brain. Furthermore, this greater connectivity distance was associated with lower global cognition. Overall, the investigation of AD-related changes in paths and distances of connectivity provides a novel framework for characterizing subjects with cognitive impairment; a framework that integrates the overall network topology changes of the brain and avoids biases toward unreferenced connectivity effects.
dc.description.sponsorship This research was supported by a grant from the National Institutes of Health (NIH) (grant No. R01AG061445 and R01AG061811) (K23-EB019023 to J. Sepulcre).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Neurobiology of Aging. 2019 Dec 14
dc.rights © Elsevier http://dx.doi.org/10.1016/j.neurobiolaging.2019.12.005
dc.title Distance disintegration delineates the brain connectivity failure of Alzheimer's disease
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.neurobiolaging.2019.12.005
dc.subject.keyword Alzheimer's disease
dc.subject.keyword Mild Cognitive impairment
dc.subject.keyword Functional connectivity
dc.subject.keyword Graph-theory
dc.subject.keyword Stepwise connectivity
dc.subject.keyword Optimal distance
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
dc.type.version info:eu-repo/semantics/acceptedVersion
dc.embargo.liftdate 2020-12-14
dc.date.embargoEnd info:eu-repo/date/embargoEnd/2020-12-14

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