There is accumulating evidence of a breakdown in attentional control systems and consequent increases in reaction time (RT) variability that may reflect a prodromal stage of Alzheimer's disease (AD). Recent evidence indicates that tasks which place a high load on attentional systems are particularly useful in (a) serving as a behavioral marker in discriminating healthy aging from early stage DAT, (b) predicting later conversion in a group of healthy middle-aged/older adults, and (c) showing relationships with other biomarkers in healthy control individuals. The proposed research will continue to longitudinally follow the adult child sample, who have well-characterized risk for developing symptomatic AD, to address the following issues: First, we will examine a set of cognitive tasks that target attentional selection, executive control, and attentional control contributions to memory performance and relate these measures to the accumulating biomarkers from the other projects and cores (e.g., PIB, CSF measures, AP0E4 status, structural and resting state fMRI measures). Second, we will explore subtle characteristics of RT distributional performance utilizing ex-Gaussian analyses and the diffusion model to examine the extent to which distinct parameters are useful prodromal markers for risk for developing AD. Third, we will use both a Sustained Attention to Respond task (SART) and a simple repetitive finger tapping task as behavioral markers for momentary fluctuations in task disengagement to irrelevant thoughts (i.e., mind wandering). Fourth, we will measure the task related neural response (via fMRI) in both a Stroop and Encoding Subsequent Memory paradigm to determine if attentional and/or default mode neural networks begin to be compromised before there is disruption in cognitive performance and relate these results to the biomarkers developing in the other projects, especially the resting state fcMRI studies in Project 4. Fifth, we will examine the extent to which personality characteristics are related to the attentional control mechanisms, and modulate the brain-behavior relationships. The convergence across these aims, projects, and cores in the continuing longitudinal study of the Adult Children Study cohort affords a unique opportunity to develop an understanding of the multi-faceted nature of the earliest bio-behavioral changes associated with AD.
The focus of the current research (including this PPG) is heavily weighted toward discovery of predictive and diagnostic Alzheimer biomarkers involving behavior, modeling, and imaging. This project links the most promising AD biomarkers with equally promising cognitive-behavioral markers to complement and improve putative biomarkers and advance basic understanding of the AD process.
|Roe, Catherine M; Barco, Peggy P; Head, Denise M et al. (2017) Amyloid Imaging, Cerebrospinal Fluid Biomarkers Predict Driving Performance Among Cognitively Normal Individuals. Alzheimer Dis Assoc Disord 31:69-72|
|Lewczuk, Piotr; Matzen, Anja; Blennow, Kaj et al. (2017) Cerebrospinal Fluid A?42/40 Corresponds Better than A?42 to Amyloid PET in Alzheimer's Disease. J Alzheimers Dis 55:813-822|
|Millar, Peter R; Balota, David A; Maddox, Geoffrey B et al. (2017) Process Dissociation Analyses of Memory Changes in Healthy Aging, Preclinical, and Very Mild Alzheimer Disease: Evidence for Isolated Recollection Deficits. Neuropsychology :|
|Schindler, Suzanne E; Jasielec, Mateusz S; Weng, Hua et al. (2017) Neuropsychological measures that detect early impairment and decline in preclinical Alzheimer disease. Neurobiol Aging 56:25-32|
|Zhao, Yue; Raichle, Marcus E; Wen, Jie et al. (2017) In vivo detection of microstructural correlates of brain pathology in preclinical and early Alzheimer Disease with magnetic resonance imaging. Neuroimage 148:296-304|
|Su, Yi; Vlassenko, Andrei G; Couture, Lars E et al. (2017) Quantitative hemodynamic PET imaging using image-derived arterial input function and a PET/MR hybrid scanner. J Cereb Blood Flow Metab 37:1435-1446|
|Deming, Yuetiva; Li, Zeran; Kapoor, Manav et al. (2017) Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers. Acta Neuropathol 133:839-856|
|Head, Denise; Allison, Samantha; Lucena, Nathaniel et al. (2017) Latent structure of cognitive performance in the adult children study. J Clin Exp Neuropsychol 39:621-635|
|Day, Gregory S; Lim, Tae Sung; Hassenstab, Jason et al. (2017) Differentiating cognitive impairment due to corticobasal degeneration and Alzheimer disease. Neurology 88:1273-1281|
|Monsell, Sarah E; Mock, Charles; Fardo, David W et al. (2017) Genetic Comparison of Symptomatic and Asymptomatic Persons With Alzheimer Disease Neuropathology. Alzheimer Dis Assoc Disord 31:232-238|
Showing the most recent 10 out of 302 publications