The goals of this continuing project are 1.
Aim 1. To describe the course of differential brain aging vyith a focus on the best-case-scenario naturalistic study of successful aging. With that focus, the study will complement existing large-scale longitudinal investigations of typical geriatric samples. Our objective is to examine the closest approximation to successful physiological aging to be found in an unselected human population. 2.
Aim 2, To gain insights into mechanisms of age-related differential brain shrinkage by examining changes in microstructure of the white matter and indirect indices of regional brain iron content. 3.
Aim 3. To evaluate the links between age-related regional brain changes (volume, diffusion and magnetization properties, and iron content) and performance in three cognitive domains with known vulnerability to aging: episodic memory, executive functions, and speed of processing. 4.
Aim 4. To examine the effect of vascular risk factors (physiological and genetic) as modifiers of brain and cognitive aging. We will continue our investigation into the effects of sub-clinical levels of vascular risk conveyed by elevated blood pressure, circulating cardiac risk factors (homocysteine, C-reactive protein), elevated insulin, and genetic variants associated with vascular and metabolic risk (MTHFR C677T, IL1-p C511T, BDNF Val66Met, ACE l/D, ApoEpound4, diabetes risk genes, and polymorphisms related to specific neurotransmitters - acetylcholine, serotonin, dopamine).
Aim 5. Common to all listed aims is a longitudinal approach to study of biological and cognitive change with Latent Growth Curves models that allow estimation of the shape of the trajectories of aging.
Aim 6. Methodological contributions. During the proposed extension award period, we plan to initiate several methodological investigations, in which we will compared manual volumetry and ROI-based evaluation of white matter integrity with various semi-automated methods, with a hope to improve those methods to the level comparable with the 'golden standard.'
The proposed project is directly related to the mission of the NIA which to improve the health and well-being of older Americans through research. More specifically, the results of this project will highlight the contrast between healthy aging and age-related diseases such as Alzheimer's and vascular dementia and will contribute to understanding individual variability of aging in the context of genetics and neurobiology.
|Wisse, Laura E M; Daugherty, Ana M; Olsen, Rosanna K et al. (2017) A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals? Hippocampus 27:3-11|
|Daugherty, Ana M; Raz, Naftali (2017) Incident risk and progression of cerebral microbleeds in healthy adults: a multi-occasion longitudinal study. Neurobiol Aging 59:22-29|
|Daugherty, Ana M; Raz, Naftali (2017) A virtual water maze revisited: Two-year changes in navigation performance and their neural correlates in healthy adults. Neuroimage 146:492-506|
|Bender, Andrew R; Naveh-Benjamin, Moshe; Amann, Katheryn et al. (2017) The role of stimulus complexity and salience in memory for face-name associations in healthy adults: Friend or foe? Psychol Aging 32:489-505|
|Viviano, Raymond P; Raz, Naftali; Yuan, Peng et al. (2017) Associations between dynamic functional connectivity and age, metabolic risk, and cognitive performance. Neurobiol Aging 59:135-143|
|Arshad, Muzamil; Stanley, Jeffrey A; Raz, Naftali (2017) Test-retest reliability and concurrent validity of in vivo myelin content indices: Myelin water fraction and calibrated T1 w/T2 w image ratio. Hum Brain Mapp 38:1780-1790|
|Sethi, S K; Daugherty, A M; Gadda, G et al. (2017) Jugular Anomalies in Multiple Sclerosis Are Associated with Increased Collateral Venous Flow. AJNR Am J Neuroradiol 38:1617-1622|
|Persson, Ninni; Ghisletta, Paolo; Dahle, Cheryl L et al. (2016) Regional brain shrinkage and change in cognitive performance over two years: The bidirectional influences of the brain and cognitive reserve factors. Neuroimage 126:15-26|
|Daugherty, Ana M; Bender, Andrew R; Yuan, Peng et al. (2016) Changes in Search Path Complexity and Length During Learning of a Virtual Water Maze: Age Differences and Differential Associations with Hippocampal Subfield Volumes. Cereb Cortex 26:2391-401|
|Damoiseaux, Jessica S; Viviano, Raymond P; Yuan, Peng et al. (2016) Differential effect of age on posterior and anterior hippocampal functional connectivity. Neuroimage 133:468-476|
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