Match!
Maxwell L. Elliott
Duke University
11Publications
2H-index
23Citations
Publications 11
Newest
#1Line Jee Hartmann Rasmussen (Duke University)H-Index: 1
#2Avshalom CaspiH-Index: 146
Last.HonaLee Harrington (Duke University)H-Index: 38
view all 0 authors...
Importance Gait speed is a well-known indicator of risk of functional decline and mortality in older adults, but little is known about the factors associated with gait speed earlier in life. Objectives To test the hypothesis that slow gait speed reflects accelerated biological aging at midlife, as well as poor neurocognitive functioning in childhood and cognitive decline from childhood to midlife. Design, Setting, and Participants This cohort study uses data from the Dunedin Multidisciplinary He...
#1Adrienne L. Romer (Duke University)H-Index: 5
#2Maxwell L. Elliott (Duke University)H-Index: 2
Last.Tracy R. Melzer (University of Otago)H-Index: 13
view all 0 authors...
Objective: Neuroimaging research has revealed that structural brain alterations are common across broad diagnostic families of disorders rather than specific to a single psychiatric disorder. Such overlap in the structural brain correlates of mental disorders mirrors already well-documented phenotypic comorbidity of psychiatric symptoms and diagnoses, which can be indexed by a general psychopathology or p factor. We hypothesized that if general psychopathology drives the convergence of structura...
#1Maxwell L. Elliott (Duke University)H-Index: 2
#2Daniel W. BelskyH-Index: 29
Last.Ahmad R. HaririH-Index: 71
view all 10 authors...
An individual's brain-age is the difference between chronological age and age predicted from machine-learning models of brain-imaging data. Brain-age has been proposed as a biomarker of age-related deterioration of the brain. Having an older brain-age has been linked to Alzheimer's, dementia and mortality. However, these findings are largely based on cross-sectional associations which can confuse age differences with cohort differences. To illuminate the validity of brain-age a biomarker of acce...
#1Maxwell L. Elliott (Duke University)H-Index: 2
#2Daniel W. Belsky (Duke University)H-Index: 29
Last.David R. Ireland (University of Otago)H-Index: 7
view all 0 authors...
#1Tracy C. d’Arbeloff (Duke University)H-Index: 1
#2Maxwell L. Elliott (Duke University)H-Index: 2
Last.Avshalom CaspiH-Index: 146
view all 12 authors...
White matter hyperintensities (WMHs) proliferate as the brain ages and are associated with increased risk for cognitive decline as well as Alzheimer9s disease and related dementias. As such, WMHs have been targeted as a surrogate biomarker in intervention trials with older adults. However, it is unclear at what stage of aging WMHs begin to relate to cognition and if they may be a viable target for early prevention. In a population-representative birth cohort of 843 45-year-olds we measured WMHs ...
#1Maxwell L. Elliott (Duke University)H-Index: 2
#2Annchen R. Knodt (Duke University)H-Index: 10
Last.Ahmad R. Hariri (Duke University)H-Index: 71
view all 10 authors...
Identifying brain biomarkers of disease risk and treatment response is a growing priority in neuroscience. The ability to identify meaningful biomarkers is fundamentally limited by measurement reliability; measures that do not yield reliable values are unsuitable as biomarkers to predict clinical outcomes. Measuring brain activity using task-fMRI is a major focus of biomarker development; however, the reliability of task-fMRI has not been systematically evaluated. We present converging evidence ...
12