TY - JOUR
T1 - Tau, amyloid, and cascading network failure across the Alzheimer's disease spectrum
AU - Jones, David T.
AU - Graff-Radford, Jonathan
AU - Lowe, Val J.
AU - Wiste, Heather J.
AU - Gunter, Jeffrey L.
AU - Senjem, Matthew L.
AU - Botha, Hugo
AU - Kantarci, Kejal
AU - Boeve, Bradley F.
AU - Knopman, David S.
AU - Petersen, Ronald C.
AU - Jack, Clifford R.
N1 - Funding Information:
This research was supported by NIH grants P50 AG016574 , U01 AG006786 , R01 AG040042 , R01 AG11378 , R01 AG041851 ; by the Robert Wood Johnson Foundation ; The Elsie and Marvin Dekelboum Family Foundation ; The Liston Family Foundation ; the Robert H. and Clarice Smith and Abigail van Buren Alzheimer’s Disease Research Program ; The GHR Foundation ; Foundation Dr. Corinne Schuler (Geneva, Switzerland) ; and the Mayo Foundation .
Publisher Copyright:
© 2017 The Authors
PY - 2017/12
Y1 - 2017/12
N2 - Functionally related brain regions are selectively vulnerable to Alzheimer's disease pathophysiology. However, molecular markers of this pathophysiology (i.e., beta-amyloid and tau aggregates) have discrepant spatial and temporal patterns of progression within these selectively vulnerable brain regions. Existing reductionist pathophysiologic models cannot account for these large-scale spatiotemporal inconsistencies. Within the framework of the recently proposed cascading network failure model of Alzheimer's disease, however, these large-scale patterns are to be expected. This model postulates the following: 1) a tau-associated, circumscribed network disruption occurs in brain regions specific to a given phenotype in clinically normal individuals; 2) this disruption can trigger phenotype independent, stereotypic, and amyloid-associated compensatory brain network changes indexed by changes in the default mode network; 3) amyloid deposition marks a saturation of functional compensation and portends an acceleration of the inciting phenotype specific, and tau-associated, network failure. With the advent of in vivo molecular imaging of tau pathology, combined with amyloid and functional network imaging, it is now possible to investigate the relationship between functional brain networks, tau, and amyloid across the disease spectrum within these selectively vulnerable brain regions. In a large cohort (n = 218) spanning the Alzheimer's disease spectrum from young, amyloid negative, cognitively normal subjects to Alzheimer's disease dementia, we found several distinct spatial patterns of tau deposition, including ‘Braak-like’ and ‘non-Braak-like’, across functionally related brain regions. Rather than arising focally and spreading sequentially, elevated tau signal seems to occur system-wide based on inferences made from multiple cross-sectional analyses we conducted looking at regional patterns of tau signal. Younger age-of-disease-onset was associated with ‘non-Braak-like’ patterns of tau, suggesting an association with atypical clinical phenotypes. As predicted by the cascading network failure model of Alzheimer's disease, we found that amyloid is a partial mediator of the relationship between functional network failure and tau deposition in functionally connected brain regions. This study implicates large-scale brain networks in the pathophysiology of tau deposition and offers support to models incorporating large-scale network physiology into disease models linking tau and amyloid, such as the cascading network failure model of Alzheimer's disease.
AB - Functionally related brain regions are selectively vulnerable to Alzheimer's disease pathophysiology. However, molecular markers of this pathophysiology (i.e., beta-amyloid and tau aggregates) have discrepant spatial and temporal patterns of progression within these selectively vulnerable brain regions. Existing reductionist pathophysiologic models cannot account for these large-scale spatiotemporal inconsistencies. Within the framework of the recently proposed cascading network failure model of Alzheimer's disease, however, these large-scale patterns are to be expected. This model postulates the following: 1) a tau-associated, circumscribed network disruption occurs in brain regions specific to a given phenotype in clinically normal individuals; 2) this disruption can trigger phenotype independent, stereotypic, and amyloid-associated compensatory brain network changes indexed by changes in the default mode network; 3) amyloid deposition marks a saturation of functional compensation and portends an acceleration of the inciting phenotype specific, and tau-associated, network failure. With the advent of in vivo molecular imaging of tau pathology, combined with amyloid and functional network imaging, it is now possible to investigate the relationship between functional brain networks, tau, and amyloid across the disease spectrum within these selectively vulnerable brain regions. In a large cohort (n = 218) spanning the Alzheimer's disease spectrum from young, amyloid negative, cognitively normal subjects to Alzheimer's disease dementia, we found several distinct spatial patterns of tau deposition, including ‘Braak-like’ and ‘non-Braak-like’, across functionally related brain regions. Rather than arising focally and spreading sequentially, elevated tau signal seems to occur system-wide based on inferences made from multiple cross-sectional analyses we conducted looking at regional patterns of tau signal. Younger age-of-disease-onset was associated with ‘non-Braak-like’ patterns of tau, suggesting an association with atypical clinical phenotypes. As predicted by the cascading network failure model of Alzheimer's disease, we found that amyloid is a partial mediator of the relationship between functional network failure and tau deposition in functionally connected brain regions. This study implicates large-scale brain networks in the pathophysiology of tau deposition and offers support to models incorporating large-scale network physiology into disease models linking tau and amyloid, such as the cascading network failure model of Alzheimer's disease.
KW - AV-1451
KW - Alzheimer's disease
KW - Braak staging
KW - Cascading network failure
KW - Complex systems
UR - http://www.scopus.com/inward/record.url?scp=85033447801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033447801&partnerID=8YFLogxK
U2 - 10.1016/j.cortex.2017.09.018
DO - 10.1016/j.cortex.2017.09.018
M3 - Article
C2 - 29102243
AN - SCOPUS:85033447801
SN - 0010-9452
VL - 97
SP - 143
EP - 159
JO - Cortex
JF - Cortex
ER -