Program Director/Principal Investigator (Last, First, Middle): Park, DoniSO C. PROJECT SUMMARY (See instmctions): The present proposal is a plan to continue and even expand the Dallas Lifespan Brain Study (DLBS) for five additional years. The DLBS is possibly the largest and most complete cross-sectional lifespan study that currently exists that integrates structuraland functional brain imaging measures, as well as amyloid imaging to understand and predict cognitive function. At the end of the first five year period, the final sample In the study Includes 425 adults from age 20 to 90, vvith a minimum of 50 subjects in each age decade. Because the cognitive neuroscience of aging is still a very young science, there are very few studies of longitudinal change in neural function. In fact, most large studies of brain and behavior that have a longitudinal component include only structural imaging, and many of these studies were not designed as brain/behavior studies. The Dallas Lifespan Brain Study was designed from its inception to be a longitudinal study of neurocognitive function and the present proposal is focused on adding a four year follow-up testing interval to the study. This will allow us to assess how neural structure and function change after a four-year interval at each decade of the life-span, and whether neural signatures associated with high or low performance at initial testing are predictive of negative trajectory of change in cognition and neural structure and function. At present, subjects admitted to the DLBS are highly screened and selected. The older subjects. In particular, must be "optimally aging" to meet the screening criteria. We propose to add an additional 180 subjects to the original sample who are "typically aging" and who have an exclusion factor or are of lower education than the present DLBS sample. The contrast of subjects who are perhaps more representative of the aging population with highly selected subjects will provide one of the first pictures of tlie neurocognitive health of these two different populations.
This project provides fundamental information about when in the lifespan the onset of cognitive dysfunction and neuropathology occurs. The findings from this project could play a key role in Identifying high-risk individuals relatively early in life for cognitive interventions and Alzheirner's Disease prevention as treatments become available.
|Peng, Shin-Lei; Dumas, Julie A; Park, Denise C et al. (2014) Age-related increase of resting metabolic rate in the human brain. Neuroimage 98:176-83|
|Reuter-Lorenz, Patricia A; Park, Denise C (2014) How does it STAC up? Revisiting the scaffolding theory of aging and cognition. Neuropsychol Rev 24:355-70|
|Thomas, Binu P; Liu, Peiying; Park, Denise C et al. (2014) Cerebrovascular reactivity in the brain white matter: magnitude, temporal characteristics, and age effects. J Cereb Blood Flow Metab 34:242-7|
|Goh, Joshua O S; Hebrank, Andrew C; Sutton, Bradley P et al. (2013) Culture-related differences in default network activity during visuo-spatial judgments. Soc Cogn Affect Neurosci 8:134-42|
|Park, Denise C; Bischof, Gerard N (2013) The aging mind: neuroplasticity in response to cognitive training. Dialogues Clin Neurosci 15:109-19|
|Ballesteros, Soledad; Bischof, Gerard N; Goh, Joshua O et al. (2013) Neural correlates of conceptual object priming in young and older adults: an event-related functional magnetic resonance imaging study. Neurobiol Aging 34:1254-64|
|Liu, Peiying; Hebrank, Andrew C; Rodrigue, Karen M et al. (2013) A comparison of physiologic modulators of fMRI signals. Hum Brain Mapp 34:2078-88|
|Park, Heekyeong; Kennedy, Kristen M; Rodrigue, Karen M et al. (2013) An fMRI study of episodic encoding across the lifespan: changes in subsequent memory effects are evident by middle-age. Neuropsychologia 51:448-56|
|Rodrigue, Karen M; Rieck, Jennifer R; Kennedy, Kristen M et al. (2013) Risk factors for ?-amyloid deposition in healthy aging: vascular and genetic effects. JAMA Neurol 70:600-6|
|Liu, Peiying; Hebrank, Andrew C; Rodrigue, Karen M et al. (2013) Age-related differences in memory-encoding fMRI responses after accounting for decline in vascular reactivity. Neuroimage 78:415-25|
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