scholarly journals Vascular risk factors are associated with a decline in resting-state functional connectivity in cognitively unimpaired individuals at risk for Alzheimer's disease

NeuroImage ◽  
2021 ◽  
Vol 231 ◽  
pp. 117832
Author(s):  
Theresa Köbe ◽  
Alexa Pichet Binette ◽  
Jacob W. Vogel ◽  
Pierre-François Meyer ◽  
John C.S. Breitner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
At Risk ◽  
Functional Connectivity ◽  
Resting State ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Resting State Functional Connectivity

scholarly journals Predicting dysfunctional age-related task activations from resting-state network alterations

2019 ◽  
Author(s):  
Ravi D. Mill ◽  
Brian A. Gordon ◽  
David A. Balota ◽  
Jeffrey M. Zacks ◽  
Michael W. Cole
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
At Risk ◽  
Functional Connectivity ◽  
Resting State ◽  
Cognitive Task ◽  
Low Risk ◽  
Flow Modeling ◽  
Resting State Functional Connectivity ◽  
Age Related

AbstractAlzheimer’s disease (AD) is linked to changes in fMRI task activations and fMRI resting-state functional connectivity (restFC), which can emerge early in the timecourse of illness. Study of these fMRI correlates of unhealthy aging has been conducted in largely separate subfields. Taking inspiration from neural network simulations, we propose a unifying mechanism wherein restFC network alterations associated with Alzheimer’s disease disrupt the ability for activations to flow between brain regions, leading to aberrant task activations. We apply this activity flow modeling framework in a large sample of clinically unimpaired older adults, which was segregated into healthy (low-risk) and at-risk subgroups based on established imaging (positron emission tomography amyloid) and genetic (apolipoprotein) risk factors for AD. We identified healthy task activations in individuals at low risk for AD, and then by estimating activity flow using at-risk AD restFC data we were able to predict the altered at-risk AD task activations. Thus, modeling the flow of healthy activations over at-risk AD connectivity effectively transformed the healthy aged activations into unhealthy aged activations. These results provide evidence that activity flow over altered intrinsic functional connections may act as a mechanism underlying Alzheimer’s-related dysfunction, even in very early stages of the illness. Beyond these mechanistic insights linking restFC with cognitive task activations, this approach has potential clinical utility as it enables prediction of task activations and associated cognitive dysfunction in individuals without requiring them to perform in-scanner cognitive tasks.Significance StatementDeveloping analytic approaches that can reliably predict features of Alzheimer’s disease is a major goal for cognitive and clinical neuroscience, with particular emphasis on identifying such diagnostic features early in the timeline of disease. We demonstrate the utility of an activity flow modeling approach, which predicts fMRI cognitive task activations in subjects identified as at-risk for Alzheimer’s disease. The approach makes activation predictions by transforming a healthy aged activation template via the at-risk subjects’ individual pattern of fMRI resting-state functional connectivity (restFC). The observed prediction accuracy supports activity flow as a mechanism linking age-related alterations in restFC and task activations, thereby providing a theoretical basis for incorporating restFC into imaging biomarker and personalized medicine interventions.

[P2-343]: VASCULAR RISK FACTORS AND BASAL FOREBRAIN ATROPHY IN SUBJECTS AT RISK OF ALZHEIMER's DISEASE

2017 ◽  
Vol 13 (7S_Part_15) ◽  
pp. P753-P753
Author(s):  
Ondřej Lerch ◽  
Jan Laczó ◽  
Zuzana Nedelska ◽  
Martina Parizkova ◽  
Ross Andel ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
At Risk ◽  
Basal Forebrain ◽  
Vascular Risk Factors ◽  
Vascular Risk

scholarly journals Potentially Modifiable Risk Factors in the Development of Alzheimer’s Disease

US Neurology ◽  
2010 ◽  
Vol 05 (02) ◽  
pp. 18 ◽  
Author(s):  
Simon Forstmeier ◽  
Andreas Maercker ◽  
◽  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Emotional Health ◽  
Social Activity ◽  
Empirical Support ◽  
Epidemiological Studies ◽  
Vascular Risk Factors ◽  
Modifiable Risk Factors ◽  
Vascular Risk

This article summarises empirical findings on major potentially modifiable risk factors in the development of Alzheimer’s disease (AD), drawing on data from longitudinal epidemiological studies on the incidence of AD or any-cause dementia. Risk factors investigated to date include cognitive ability, motivational ability, emotional health, physical activity, social activity and social network, vascular risk factors and nutrition. The authors find most empirical support for two main clusters of risk factors that also represent potential targets for prevention. First, an active and stimulating lifestyle including cognitive, social, and physical activities reduces the risk of AD. Second, the absence of vascular risk factors such as diabetes, hypertension, hypercholesterol and obesity reduces the risk of AD. More prevention trials are warranted to investigate the preventative effects of an active and stimulating lifestyle on the one hand, and vascular health on the other, in delaying the onset of AD or slowing its progression.

scholarly journals Neuropsychological Deficit Profiles, Vascular Risk Factors, and Neuropathological Findings in Hispanic Older Adults with Autopsy-Confirmed Alzheimer’s Disease

2019 ◽  
Vol 67 (1) ◽  
pp. 291-302 ◽  
Author(s):  
Gali H. Weissberger ◽  
Tamar H. Gollan ◽  
Mark W. Bondi ◽  
Daniel A. Nation ◽  
Lawrence A. Hansen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Neuropsychological Deficit
Sign in / Sign up

Export Citation Format

Share Document