his objective of this Mentored Research Scientist Development Award application is to obtain the training and research experience required for me to become a productive independent researcher investigating relationships between neuroimaging-based markers of brain structure and late-life cognitive decline. The application builds on my computational training in image processing to position me as an effective member of a multidisciplinary team that will be able to apply state-of-the-art neuroimaging methods to research questions related to cognitive decline while effectively interfacing with psychologists, pathologists, and other scientists with complementary expertise. The career development plan strengthens my foundation in image processing and supplements it with focused training in medical image acquisition, statistics and epidemiology, neuroanatomy, and psychology to make me a knowledgeable user of research tools from each of those areas. Training will be acquired through a structured program of formal coursework, focused meetings with area mentors, colloquia and seminars, and attendance of research meetings at a local and national level. The research plan develops the methodology required for large-scale study of relationships between imaging-based brain structure measures and cognitive decline, and applies the methodology to cohorts from population-based studies and an academic dementia clinic.
The specific aims are to 1) investigate relationships between automated imaging-based measures of lateral ventricle structure and subsequent cognitive decline, 2) relate the structure of the lateral ventricles to the structure of periventricular structures, and 3) apply the automated image processing methodology developedfor the first two aims to large population-based cohorts with longitudinal imaging and cognition measures to cross-validate findings. The research and career development outlined in this application will leverage my unique computational skills into an effective career as an independent investigator able to contribute neuroimaging perspectives to our evolving understanding of the biological basis of late-life cognitive decline.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Scientist Development Award - Research & Training (K01)
Project #
Application #
Study Section
National Institute on Aging Initial Review Group (NIA)
Program Officer
Wagster, Molly V
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California Davis
Schools of Medicine
United States
Zip Code
Teng, Edmond; Chow, Nicole; Hwang, Kristy S et al. (2015) Low plasma ApoE levels are associated with smaller hippocampal size in the Alzheimer's disease neuroimaging initiative cohort. Dement Geriatr Cogn Disord 39:154-66
Rueda, Alicia D; Lau, Karen M; Saito, Naomi et al. (2015) Self-rated and informant-rated everyday function in comparison to objective markers of Alzheimer's disease. Alzheimers Dement 11:1080-9
Caroli, Anna; Prestia, Annapaola; Wade, Sara et al. (2015) Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI. Alzheimer Dis Assoc Disord 29:101-9
Roussotte, Florence F; Jahanshad, Neda; Hibar, Derrek P et al. (2015) Altered regional brain volumes in elderly carriers of a risk variant for drug abuse in the dopamine D2 receptor gene (DRD2). Brain Imaging Behav 9:213-22
Mah, Linda; Binns, Malcolm A; Steffens, David C et al. (2015) Anxiety symptoms in amnestic mild cognitive impairment are associated with medial temporal atrophy and predict conversion to Alzheimer disease. Am J Geriatr Psychiatry 23:466-76
Bertens, Daniela; Knol, Dirk L; Scheltens, Philip et al. (2015) Temporal evolution of biomarkers and cognitive markers in the asymptomatic, MCI, and dementia stage of Alzheimer's disease. Alzheimers Dement 11:511-22
Morris, Jill K; Vidoni, Eric D; Honea, Robyn A et al. (2014) Impaired glycemia increases disease progression in mild cognitive impairment. Neurobiol Aging 35:585-9
Landau, S M; Thomas, B A; Thurfjell, L et al. (2014) Amyloid PET imaging in Alzheimer's disease: a comparison of three radiotracers. Eur J Nucl Med Mol Imaging 41:1398-407
Macdonald, Kate E; Leung, Kelvin K; Bartlett, Jonathan W et al. (2014) Automated template-based hippocampal segmentations from MRI: the effects of 1.5T or 3T field strength on accuracy. Neuroinformatics 12:405-12
Ito, Kaori; Hutmacher, Matthew M (2014) Predicting the time to clinically worsening in mild cognitive impairment patients and its utility in clinical trial design by modeling a longitudinal clinical dementia rating sum of boxes from the ADNI database. J Alzheimers Dis 40:967-79

Showing the most recent 10 out of 307 publications