Quantification of the robustness of functional neural networks: Application to the characterization of Alzheimer's disease continuum.
Marcos Revilla-VallejoCarlos GómezJavier Gomez-PilarRoberto HorneroMiguel Ángel Tola-ArribasMónica CanoYoshihito ShigiharaHideyuki HoshiJesús PozaPublished in: Journal of neural engineering (2023)
To the best of our knowledge, this is the first study which assesses the robustness of the functional connectivity network in the AD continuum. Our findings consistently evidence the loss of network robustness as the AD progresses for the three databases. Furthermore, the changes in this complex network property may be related with the progressive deterioration in brain functioning due to AD.