2015
Cascading network failure across the Alzheimer’s disease spectrum
Abstract: Subsystems within the default mode network are differentially affected in Alzheimer’s disease. Jones et al. present an in-depth analysis of changes within these subsystems and relate them to biomarker profiles across the Alzheimer’s disease spectrum. Results support a cascading network failure model of Alzheimer’s disease.
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Cited by 609 publications
(748 citation statements)
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“…This suggests that the effects of excitation and inhibition are not straightforward and often unpredictable in a complex system like the brain. The positive cognition correlate of excitation that we found is in contrast with our findings in the Limbic SubNet (where cognition correlated negatively with excitation), as well as with the damaging effects of over-excitation that have consistently been reported ( Busche and Konnerth, 2015 ; Celone et al, 2006 ; Dickerson et al, 2005 ; Gleichmann et al, 2011 ; Gleichmann and Mattson, 2010 ; Jones et al, 2016 ; Sperling et al, 2010 ). Interestingly, similar unpredictability of excitation on function in AD has been reported previously ( de Haan et al, 2017 ).…”
Section: Discussion
contrasting
confidence: 99%