The long-term career goal of the candidate is to make significant scientific discoveries in cognitive neuroscience and to apply research findings to improving the health and mobility of the aging population. The immediate career objective is to become an independent researcher involved in cutting-edge research in the neuroimaging of human cognitive aging. The candidate has past research experience in cognitive neuroscience, but further training in cognitive aging theories and neuroimaging methods in aging are necessary to allow her to attain her career goals. The candidate will work with a mentor, Raja Parasuraman who has extensive expertise in cognitive neuroscience and aging and who has a proven record of training students and fellows in these fields. The training environment will involve a team of top researchers in cognitive aging, neuroscience, and neuroimaging. This group will provide training in the theoretical issues and analysis methods involved in cognitive and neuroimaging studies in old participants, as well as in the issues involved in the comparison of neuroimaging data between young and old adults. The K01 award will allow the candidate the time and support necessary to devote to her research career development as an independent researcher in cognitive aging and cognitive neuroscience. In her research plan, the candidate will examine how the human brain processes visual information about complex motion (e.g., shape-from-motion), and what cortical mechanisms mediate age-related changes in complex motion perception. The topic is important because many everyday tasks carried out by older adults, such as walking, driving, and playing sports, are critically dependent on the processing of complex visual motion by the brain. The objective is to identify the human cortical representation of surfaces and objects defined by motion in young and old adults, using both behavioral methods and functional magnetic resonance imaging (fMRI). The central hypothesis is that deficits in recognizing objects in relative motion in old age are due to changes in the functional efficiency of specific cortical areas in the brain. Additionally complex motion processing is mediated by cortical regions beyond the simple motion processing areas in the human visual cortex. Specifically, the proposed studies will (1)identify the human cortical areas associated with the processing of motion-defined flat and curved surfaces in depth; (2) identify the cortical areas mediating the processing of shape-from-motion using attention modulation; and (3) determine the neural basis of age-related decreases in ability to process visual information about complex motion. Combination of behavioral and neuroimaging methods will lead to successful establishment of causal relationships between visual motion processing and cortical function (or dysfunction) in the young and old. This will provide a foundation for the further development of diagnostic and therapeutic tools to address important health and mobility problems in the elderly.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01AG000986-04
Application #
6649217
Study Section
National Institute on Aging Initial Review Group (NIA)
Program Officer
Finkelstein, Judith A
Project Start
2001-09-30
Project End
2006-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
4
Fiscal Year
2003
Total Cost
$122,593
Indirect Cost
Name
University of Kentucky
Department
Psychology
Type
Schools of Medicine
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
Broster, Lucas S; Li, Juan; Wagner, Benjamin et al. (2018) Spared behavioral repetition effects in Alzheimer's disease linked to an altered neural mechanism at posterior cortex. J Clin Exp Neuropsychol 40:761-776
Jiang, Yang; Lin, Ming Kuan; Jicha, Gregory A et al. (2017) Functional human GRIN2B promoter polymorphism and variation of mental processing speed in older adults. Aging (Albany NY) 9:1293-1306
Li, Juan; Broster, Lucas S; Jicha, Gregory A et al. (2017) A cognitive electrophysiological signature differentiates amnestic mild cognitive impairment from normal aging. Alzheimers Res Ther 9:3
Yu, Jing; Li, Rui; Jiang, Yang et al. (2016) Altered Brain Activities Associated with Neural Repetition Effects in Mild Cognitive Impairment Patients. J Alzheimers Dis 53:693-704
McBride, Joseph C; Zhao, Xiaopeng; Munro, Nancy B et al. (2015) Sugihara causality analysis of scalp EEG for detection of early Alzheimer's disease. Neuroimage Clin 7:258-65
McBride, Joseph; Zhao, Xiaopeng; Munro, Nancy et al. (2015) Discrimination of mild cognitive impairment and Alzheimer's disease using transfer entropy measures of scalp EEG. J Healthc Eng 6:55-70
Jiang, Xiong; Jiang, Yang; Parasuraman, Raja (2015) The Visual Priming of Motion-Defined 3D Objects. PLoS One 10:e0144730
Jiang, Xiong; Jiang, Yang; Parasuraman, Raja (2014) What you see depends on what you saw, and what else you saw: the interactions between motion priming and object priming. Vision Res 105:77-85
McBride, Joseph C; Zhao, Xiaopeng; Munro, Nancy B et al. (2014) Spectral and complexity analysis of scalp EEG characteristics for mild cognitive impairment and early Alzheimer's disease. Comput Methods Programs Biomed 114:153-63
McBride, Joseph; Zhao, Xiaopeng; Munro, Nancy et al. (2013) Resting EEG discrimination of early stage Alzheimer's disease from normal aging using inter-channel coherence network graphs. Ann Biomed Eng 41:1233-42

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