Funded Projects

The aim of this project is to improve the accuracy and reliability of dMRI fiber tracking through comparison with a gold standard that unambiguously relates the measured water diffusion patterns to the underlying tissue structure.

Everyone is well aware of their white adipose tissue and its ability to store excess energy as fat. In fact the efficiency with which it does this has led to obesity and related metabolic diseases becoming the largest single health burden in the United States.

Our ability to detect and interpret sounds relies on specialized sensory cells within the snail-shaped hearing organ of the inner ear—the cochlea. These hair cells sense physical movement and then convert that mechanical stimulus into a biological signal that we perceive as sound. These mechano-sensory cells perform this task within microseconds and can do so for sub-nanomechanical stimuli.

My proposed visit to the Van De Ville lab is centered on the idea to expand our methods beyond brain tumors to other neurological diseases using the Van De Ville lab’s expertise in neuro-imaging. Imaging genomics has been focused mainly on oncology; however, other neurological diseases can be studied in the same way.

Brain data analyses involves many steps and every step is prone to errors and uncertainties. Ignoring uncertainties can potentially leading to overconfident conclusions. To improve reproducibility it is important to propagate errors throughout the anlaysis.

Humans naturally learn to generate and process complicated sequential patterns. For example, a concert pianist can learn an enormous repertoire of memorized music. In neuroscience, it is widely thought that synaptic plasticity – the process by which the connections between neurons change response to experience – underlies such remarkable behavior.

A top priority for people with paralysis is reach and grasp ability. Technologies such as robotic arm prostheses or electrically stimulating paralyzed muscles can meet this need. Existing methods rely on the remaining muscles, are unintuitive and require laborious sequences of simple commands. Reading out a patient’s desired movement directly from their brain could overcome these limitations.

Our ability to remember makes us human, and is essential for acquiring new skills and integrating previous experiences into future decision-making. While it is known that long-term memory (LTM) formation requires new gene expression, we lack a detailed and comprehensive understanding of which genes must be expressed to encode memories, and how these genes change over time during the consolidation of memories.

Spinal cord injury (SCI) is a debilitating condition that affects young adults between the ages of 16 and 30, which leads to lifelong medical and financial burdens. SCI still results in a decreased quality-of-life and lower life expectancy for patients. This is due in part to the lack of a regenerative-based therapeutic approach to treating SCI in the clinic.

G protein-coupled receptors (GPCRs) are proteins that exist within the cell membrane and act to transfer the information encoded within neurotransmitters and drugs into cell responses. GPCRs exist throughout the body in several systems including the nervous system.

Understanding how glia regulate the expression and/or post-translational modification of sodium ion channels may lead to the identification of new pharmaceutical targets for the treatment of pain.

Human movement results from the coordination of muscles, tendons, joints, and other physiological elements.

Dr. Dante Muratore's goal is to design the next generation of neural interfaces that allow single-cell resolution when communicating with the nervous system. To achieve this, he has conceived a new way of reading information from the neural system.

Dr. Daniel Bear propose to augment state-of-the-art neural networks with two biologically-inspired properties: the ability to represent the physical world as it changes over time and the ability to learn from self-created signals rather than explicit human instruction.

By performing a molecular and neural network analysis across behaviorally divergent pair bonding species, Dr. Jessica Nowicki will use the power of comparative analysis to reveal core mechanisms that regulate pair bonding.

Dr. Miguel Garcia believes that identifying the mechanism of myelin wrapping is important in understanding neural development and is a critical first step towards creating much needed therapeutic approaches to stimulate remyelination in patients with demyelinating diseases.

Dr. Iram will use brain intrinsic and systemic regulators of aging, in an attempt to accelerate maturation of human-derived brain organoids. This has the potential to produce the first ever aged human brain 3D cultures and identify factors which accelerate brain aging.

Although you’re aware of the light that you see, light also affects us in ways that you might not appreciate. These so called “non-image forming” (NIF) pathways were recently discovered, they start in the human eye before projecting to over a dozen brain regions. They modulate aspects of human function including our daily rhythms, our sleep patterns, the way we feel and the way we think.

Schistosomiasis is a parasitic disease second only to malaria in its human health and economic impact on tropical nations.

Adaptation to environmental variations is vital for animal survival. While short-lived organisms face unpredictable environmental fluctuations, long-lived animals are subject to regular and generally drastic environmental changes across different seasons.

Communication between cells in the nervous system regulates the senses, memory, and information processing. Using electrical and biochemical sensors, such as patch clamps, voltage-sensitive dyes, and calcium-sensitive dyes, scientists have mapped with extraordinary detail the interactions of the nervous system.

Neural circuits can exhibit remarkable stability (e.g., when supporting long-term memory) as well as flexibility (e.g., when supporting rapid learning).

Meta-learning, an old concept in psychology, is the ability of humans to improve the way they learn with experience.  Our previous experience of learning a skill makes us better at learning another, related skill. For instance, an athlete will learn a new sport faster than someone without the same level of experience in similar learning tasks.