Age-related Macular Degeneration is associated with faster rates of structural brain changes and widespread differences in connectivity

Dr. Whitaker is a board-certified comprehensive optometrist with specialization in Vision Rehabilitation and Performance. Her past experience includes specialty low vision training at the Lighthouse for the Blind in Houston, Texas and providing vision rehabilitation services at the UNC Department of Ophthalmology from 2001-2006.

Dr. Whitaker has extensive experience with complex refractive, cataract and post-operative care. She is a member of the American Optometric Association Low Vision Section and the North Carolina State Optometric Society. Dr. Whitaker's research interests are diverse. She collaborates with other specialists with specific interests in driver evaluation and training, visual-motor skills and performance training in athletes, cognitive impairment in patients with visual impairment, and concussion and stroke rehabilitation

In 2015 she was named an Innovator and one of the Most Influential Women in Optical. In 2017, she received the InSightful Visionary BVI Champion Award and served as the Medical Chair for the Foundation for Fighting Blindness Triangle Vision walk which successfully raised over $120,000 to fund research to prevent blindness. In 2020, she was named Top Doctor in Optometry.

My research focuses primarily on the cognitive neuroscience of aging: the investigation of age-related changes in perception, attention, and memory, using both behavioral measures and neuroimaging techniques, including positron emission tomography (PET), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI).

The behavioral measures have focused on reaction time, with the goal of distinguishing age-related changes in specific cognitive abilities from more general effects arising from a slowing in elementary perceptual processes. The cognitive abilities of interest include selective attention as measured in visual search tasks, semantic and episodic memory retrieval, and executive control processes.

The behavioral measures are necessary to define the cognitive abilities of interest, and the neuroimaging techniques help define the functional neuroanatomy of those abilities. The PET and fMRI measures provide information regarding neural activity during cognitive performance. DTI is a recently developed technique that images the structural integrity of white matter. The white matter tracts of the brain provide critical pathways linking the gray matter regions, and thus this work will complement the studies using PET and fMRI that focus on gray matter activation.

A current focus of the research program is the functional connectivity among regions, not only during cognitive task performance but also during rest. These latter measures, referred to as intrinsic functional connectivity, are beginning to show promise as an index of overall brain functional efficiency, which can be assessed without the implementation of a specific cognitive task. From DTI, information can be obtained regarding how anatomical connectivity constrains intrinsic functional connectivity. It will be important to determine the relative influence of white matter pathway integrity, intrinsic functional connectivity, and task-related functional connectivity, as mediators of age-related differences in behavioral measures of cognitive performance.

Ultimately, the research program can help link age-related changes in cognitive performance to changes in the structure and function of specific neural systems. The results also have implications for clinical translation, in terms of the identification of neural biomarkers for the diagnosis of neural pathology and targeting rehabilitation procedures.

Dr. Whitson's research is focused on improving care options and resilience for people with multiple chronic conditions.  In particular, she has interest and expertise related to the link between age-related changes in the eye and brain (e.g., How does late-life vision loss impact the aging brain or cognitive outcomes?  Is Alzheimer's disease associated with distinctive changes in the retina, and could such changes help diagnose Alzheimer's disease early in its course?).  Dr. Whitson leads a collaborative Alzheimer's Disease initiative that brings together investigators from Duke University and the University of North Carolina (UNC) at Chapel Hill, with a bold vision to transform dementia research and care across Eastern North Carolina. Dr. Whitson is also interested in improving health services to better meet the needs of medically complex patients.  Within the Duke Aging Center, she leads research efforts aimed at promoting resilience to late-life stressors (e.g., surgery, sensory loss, infection).  She has developed a novel rehabilitation model for people with co-existing vision and cognitive deficits, and she is part of a inter-disciplinary team seeking to improve peri-operative outcomes for frail or at-risk seniors who must undergo surgery.  As a co-leader of a national resilience collaborative, she seeks to better understand the biological and psychological factors that determine how well we "bounce back" after health stressors.  

I have a joint appointment in Radiology and Neurology and my research focuses on neurological conditions like Alzheimer’s disease. I work on imaging and analysis to provide a comprehensive characterization of the brain. MRI is particularly suitable for brain imaging, and diffusion tensor imaging is an important tool for studying brain microstructure, and the connectivity amongst gray matter regions.  

I am interested in image segmentation, morphometry and shape analysis, as well as in integrating information from MRI with genetics, and behavior. Our approaches  target: 1) phenotyping the neuroanatomy using imaging; 2) uncovering the link between structural and functional changes, the genetic bases, and environmental factors. I am interested in generating methods and tools for comprehensive phenotyping.

We use high-performance cluster computing to accelerate our image analysis. We use compressed sensing image reconstruction, and process large image arrays using deformable registration, perform segmentation based on multiple image contrasts including diffusion tensor imaging, as well as voxel, and graph analysis for connectomics.

At BIAC  my efforts focus on developing multivariate biomarkers and identifying vulnerable networks based on genetic risk for Alzheimer's disease.

My enthusiasm comes from the possibility to extend from single to integrative multivariate and network based analyses to obtain a comprehensive picture of normal development and aging, stages of disease, and the effects of treatments.  I am working on multivariate image analysis and predictive modeling approaches to help better understand early biomarkers for human disease indirectly through mouse models, as well as directly in human studies. 

I am dedicated to supporting an increase in female presence in STEM fields, and love working with students. The Bass Connections teams involve undergraduate students in research, providing them the opportunity to do independent research studies and get involved with the community. These students have for example takes classes such as:

BME 394: Projects in Biomedical Engineering (GE)
BME 493: Projects in Biomedical Engineering (GE)
ECE 899: Special Readings in Electrical Engineering
NEUROSCI 493: Research Independent Study 1