Distance disintegration delineates the brain connectivity failure of Alzheimer's disease
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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comunitat-uji-handle3:10234/8636
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INVESTIGACIONMetadatos
Título
Distance disintegration delineates the brain connectivity failure of Alzheimer's diseaseAutoría
Fecha de publicación
2019-12-14Editor
ElsevierISSN
0197-4580; 1558-1497Cita bibliográfica
COSTUMERO, Víctor, et al. Distance disintegration delineates the brain connectivity failure of Alzheimer's disease. Neurobiology of Aging, 2020, vol. 88, p. 51-60.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S0197458019304336Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
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 ... [+]
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. [-]
Publicado en
Neurobiology of Aging, Volume 88, April 2020.Proyecto de investigación
No. R01AG061445 and R01AG061811, K23-EB019023 to J. SepulcreDerechos de acceso
© 2019 Elsevier Inc. All rights reserved. Licencia CC-BY-NC-ND
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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