2015
DOI: 10.1093/brain/awv338
|Get access via publisher |Summarize |Cite
|
Sign up to set email alerts

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.

Search citation statements

Order By: Relevance

Paper Sections

Select...
356
214
139
17

Citation Types

84
655
8
1

Year Published

Range
2016
2016
2026
2026

Publication Types

Select...
462
94
41
18

Relationship

21
594

Authors

Journals

citations

Cited by 609 publications

(748 citation statements)
references

References 55 publications

84
655
8
1
Order By: Relevance
How this paper cites the one you are viewing
“…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%