1R01MH108467-01 (PI: Harezlak, J) 09/03/15 – 06/30/20
Statistical Models for Multi-Modal Brain Imaging Studies of HIV-associated Cognitive Decline
The study of neurocognitive impairment and its progression in HIV patients is a multifaceted endeavor involving complex data structures. These include multi-modal brain imaging measures as well as longitudinal host and viral markers. Exploring the full potential of these data requires the application and development of advanced statistical analysis methods. This proposal will address scientific questions motivated by the data obtained in Dr. Ances’ laboratory at Washington University in St. Louis.
McAllister, T, Broglio, S, McCrea M (PIs) 08/01/14 – 09/14/18
NCAA-DOD GRAND ALLIANCE
Concussion Assessment, Research and Education (CARE) Consortium
This three-year study led by the Indiana University School of Medicine, Medical College of Wisconsin, and University of Michigan marks what is considered to be the most comprehensive investigation of sport-related concussion (SRC) ever conducted. This study will allow scientists to better understand the true natural history of concussion in athletes, and investigate the correlation between multi-dimensional predictor and outcome variables associated with SRC from a fully neurobiopsychosocial perspective in a commonly injured sample and single study design.
Role: Co-director of the Biostatistical core
1R01AA022476 (PI: Kareken, DA) 06/20/14 – 04/30/19
Brain Reward Responses to Sweet Tastes in Alcoholism Risk
Our proposed research will identify how alcoholism risk is reflected by brain responses to an inherently rewarding stimulus, the preference for which correlates with inherited alcoholism risk. This research will help us understand how alcoholism risk affects brain function, which will lead to a clearer understanding of the brain reward circuits that can be targeted in prevention and treatment.
5R01AG053993 (PI: Wu,Y-C)
Modeling Axonal Density and Inflammation-Associated Cellularity in Alzheimer’s Disease Using hybrid Diffusion Imaging
The goals of the proposed research are to determine the sensitivity , discrimination, and predictive power of the diffusion metrics of axonal density and inflammation-associated cellularity cross-sectionally and longitudinally in a cohort of healthy control and preclinical (at-risk) older adults, and patients with early mild cognitive impairment (MCI), late MCI, and AD.
Completed Research Support
1R01NS080655-01A1 (PI: Thompson, P) 08/01/12 – 07/31/16
Predicting Brain Changes in HIV/AIDS
The main focus of the research is on the development of brain imaging analytical and statistical methods to map brain tissue loss over time and relate these patterns to neurocognitive impairment. Additionally, we will determine what host- and disease-specific factors predict higher atrophy rates over time. To probe the causes of dysfunction, whole-brain tractography will be used to determine where HIV-positive patients have reduced fiber integrity. Finally, we will obtain the sample sizes needed for neuroimaging-based clinical trials to detect the slowing of the rate of atrophy.
Role: Site PI
1R01DK089070 (PI: Considine, B) 07/01/10 – 06/30/15
Reward System Responses to Food Aromas: Effects of Obesity and Alcohol Intake
The main hypotheses of this research are that: A) Lean and obese subjects have different limbic responses to the olfactory cues that enhance motivation to eat, and B) Acute alcohol intoxication i) potentiates the brain’s reward system response to food odors, and ii) affects brain systems involved in behavioral inhibition and eating restraint. To test these hypotheses, modified functional magnetic resonance imaging (fMRI) paradigms will be used to study alcoholic drink aromas in subjects at risk for alcoholism and in ongoing work of inhibitory control under alcohol exposure.
1U01MH083545-01 (PI: Yiannoutsos, C) 05/01/08 – 04/31/13
National NeuroAIDS Tissue Consortium Statistics & Data Coordinating Center
Indiana University with collaboration of the EMMES Corporation is performing SDCC functions such as (1) maintaining and expanding the centralized clinical database and the specimen and data request tracking database; (2) collecting, processing and monitoring specimen requests and distributing them to NNTC sites; (3) providing scientific and statistical leadership to optimize NNTC resources and enhancing the value of the longitudinal data. This is accomplished via (1) proposing and conducting statistical analyses and fostering collaborations with Consortium and external researchers; (2) providing scientific leadership by contributing to all aspects of the research, including concept development, study design, data collection, analysis and presentation to NNTC investigators, NIH project collaborators and the research community.
R01HD053231-01A1 (PI: Fortenberry, J) 07/01/08 – 06/30/13
Relational and Contextual Phenomenology of STI/HIV Risk
The research focuses on the psychological, interpersonal, social and behavioral phenomena that occur in temporal conjunction with sex. The research framework addresses phenomena immediately prior to sexual activity, during sexual activity and immediately after sexual activity to capture the contexts within which sexual activity occurs. The temporal focus of the research is the time of entry into physical proximity of two partners to the time of sexual activity (including coitus) to the time of partners’ exit from physical proximity. The research will inform interventions to improve the use of products such as condoms and microbicides, or learning about ways to help people reduce the risk of infection.
3R01NS036524 (Navia, B, PI) 05/23/05 – 04/30/11
Tufts-New England Medical Center
In Vivo Proton MRS Studies of Cerebral Injury in HIV Infection
Cross-sectional and longitudinal study to examine the pattern and dynamics of regional injury in the HIV infected brain in the setting of HAART.
5 T32 ES007142-23 Coull (PI) 07/01/05 – 07/31/07
Graduate Training in Biostatistics
Role: Research Fellow
7 R01 GM29745 Laird (PI) 07/01/03 – 06/30/05
Methods for the Analysis of Longitudinal Data
Role: Predoctoral student
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