Funded Projects

Due to the critical role that dopamine producing neurons play in pathophysiology, it is important to examine the function of its co-released GABA. This research aims to study GABA biosynthesis in midbrain dopamine producing neurons and it’s effect on striatal inhibition.

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.

Understanding the relationship between structure and function in the human brain is a key interest in neuroscience. In recent years the focus is turning to understanding the role of the white matter in human cognition, brain function and neurological disorders.

Electrodes implanted in the brain have great potential, with applications in neurodegenerative disease, brain-computer interfaces, and more. However, the presence of electrodes in brain tissue causes a response known as gliosis, in which a scar forms around the electrode, reducing its effectiveness and access to neurons.

Stroke is the main cause of adult disability; 80% of survivors sustain motor (movement) deficits that interfere with activities of daily living. There exists no proven therapeutic strategy for motor recovery of the upper extremity following stroke.

A hallmark of the motor system is its ability to execute different skilled movements as the situation warrants, thanks to the flexibility of motor learning. Despite many behavioral studies on motor learning, the neural mechanisms of motor memory formation and modification remain unclear.

In the course of everyday functioning, animals (including humans) are constantly faced with real-world environments in which they are required to shift unpredictably between multiple, sometimes unfamiliar, tasks. But how brains support this rapid adaptation of decision making schema, and how they allocate resources towards learning novel tasks is largely unknown both neuroscientifically and algorithmically.

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.

Yi Lui's project aims to use deep brain microstimulation (DBMS), which causes even less brain damage and has higher spatial resolution than DBS, for memory recovery.

Dr. Darian Hadjiabadi aims to identify higher-order features of neuronal circuits responsible for seizure initiation and propagation by quantifying mesoscale-network reorganization in genetic models of zebra sh that faithfully recapitulate seizure dynamics in humans.

Dr. Brandon Jay Bhasin will use engineering principles from modern control theory, experimental neuroscience and computational neuroscience to significantly advance understanding of how feedback driven plasticity in a tractable neural circuit is orchestrated across multiple synaptic sites and over various timescales so that circuit dynamics are changed to improve performance.

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.

The project aims to alleviate this bottleneck by developing a weak supervision system that optimally deals with time-series data and takes advantage of multiple data modalities.

Developing a platform of biocompatible nanoparticles that uncage a drug payload upon ultrasound application.

Behavioral state—such as alertness or exhaustion—dramatically impacts how our brains function. Yet, in spite of the key role that it plays in cognition, how behavioral state influences brain function remains a central mystery in neuroscience.