TY - JOUR
T1 - Distance disintegration delineates the brain connectivity failure of Alzheimer's disease
AU - Costumero, Víctor
AU - d'Oleire Uquillas, Federico
AU - Diez, Ibai
AU - Andorrà, Magi
AU - Basaia, Silvia
AU - Bueichekú, Elisenda
AU - Ortiz-Terán, Laura
AU - Belloch, Vicente
AU - Escudero, Joaquin
AU - Ávila, César
AU - Sepulcre, Jorge
N1 - Funding Information:
Authors' contributions: VC, ID, VB, JE, CA, and JS designed research; VC, FdOU, ID, EB, VB, JE, CA, and JS performed research; VC, FdOU, ID, MA, SB, EB, LOT, and J.S. contributed analytic tools; VC, ID, and JS analyzed data; and VC, FdOU, ID, MA, SB, EB, LOT, CA, and JS wrote the paper. This research was supported by a grant from the National Institutes of Health (NIH) (grant No. R01AG061445 and R01AG061811) ( K23-EB019023 to J. Sepulcre). Appendix A
Funding Information:
Authors' contributions: VC, ID, VB, JE, CA, and JS designed research; VC, FdOU, ID, EB, VB, JE, CA, and JS performed research; VC, FdOU, ID, MA, SB, EB, LOT, and J.S. contributed analytic tools; VC, ID, and JS analyzed data; and VC, FdOU, ID, MA, SB, EB, LOT, CA, and JS wrote the paper. This research was supported by a grant from the National Institutes of Health (NIH) (grant No. R01AG061445 and R01AG061811) (K23-EB019023 to J. Sepulcre).
Publisher Copyright:
© 2019 Elsevier Inc.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
KW - Alzheimer's disease
KW - Functional connectivity
KW - Graph-theory
KW - Mild Cognitive impairment
KW - Optimal distance
KW - Stepwise connectivity
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U2 - 10.1016/j.neurobiolaging.2019.12.005
DO - 10.1016/j.neurobiolaging.2019.12.005
M3 - Article
C2 - 31941578
AN - SCOPUS:85077739746
VL - 88
SP - 51
EP - 60
JO - Neurobiology of Aging
JF - Neurobiology of Aging
SN - 0197-4580
ER -