Funded Projects

We understand a lot about how the brain gets rewired when learning a new skill by repetitive practice, such as hitting a curveball. However, how learning and experience alter the innate behaviors that we are born with is poorly understood.

There is one characteristic of all neurodegenerative diseases: the accumulation and aggregation of abnormal proteins in the patient’s brain. These aggregations are thought to induce neuronal cell death and brain degeneration.

This team will use their Neuroscience:Translate award to develop an entirely new class of ischemic stroke treatment device that will lead to improved clot extraction to improve the success of endovascular thrombectomy.

We propose to apply mass spectrometry techniques to measure BHB-Phe and other KD metabolites in children undergoing KD for refractory epilepsy at Stanford. Further, in a mouse model of refractory genetic epilepsy, we will compare targeted BHB-Phe treatment to full KD treatment using transcriptomics, EEG assessment of seizures and cognitive testing.

This team will use their Neuroscience:Translate award to employ a novel therapeutic technique to correct pathogenic mutations causing Parkinson’s disease.

Sleep is a critical behavioral state that fulfills essential needs for health, including clearing waste products (e.g., protein aggregates) from the brain. But sleep is not everlasting. As humans age, sleep quality strikingly deteriorates, and this decline is associated with dementias (e.g., Alzheimer’s disease).

Millions of people are blind, yet we still don’t have the technology to satisfactorily restore vision. I aim to create a prosthetic device to do so. This device can be implanted in the eyes of a blind patient, resting on a tissue layer called the retina.

We propose a new line of research whose goal is to examine the druggability of a protein-protein interface involving ApoE, an apolipoprotein whose gene variants represent the strongest genetic risk factor for AD.

With an aging population, neurodegenerative disorders contribute increasingly to our global health burden with no cure or effective treatments. Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two neurodegenerative disorders that are distinct in clinical presentation (ALS impairs movement/breathing, whereas FTD impairs behavior/cognition).

It is more common nowadays for people to have their own wearable devices to measure physiological signals like heart rate and respiration to keep track of physical diseases. However, monitoring decline in cognitive functions or development of neurodegenerative diseases, such as Parkinson’s (PD), is still complex and tricky.

In this study, we aim to (i) perform a feasibility study to determine the acceptance and feasibility of performing such recordings in the AN and ARFID eating disorders population and (ii) test the hypothesis that the electrophysiologic monitoring of the brain and stomach is associated with a clinically validated behavioral measure of interoception involving water distention of the stomach.

Cognitive neuroscience has traditionally focused on identifying the neural basis of psychological traits or state effects across large samples of participants. Recently, researchers have pushed towards providing more precise estimates of individual functional organization to better understand both psychological constructs as well as their supporting neural mechanisms.

This team aims to revolutionize future stroke treatment both in clinics and at home by combining a brain-computer interface and augmented reality (AR) into a single rehabilitation platform.

In order to reach the level of intelligence that humans possess, artificial agents need to be able to autonomously interact with other agents and humans and build rich models of how other minds work as a result of these interactions.

Sensorineural hearing loss is an increasingly prevalent condition that causes disability to over a third of US adults aged over 65. This team is developing a breakthrough device to restore high-frequency hearing that preserves residual hearing through a reversible and minimally invasive approach.

This team has created an extended reality–enhanced implementation of "behavioral activation," one of the most effective forms of evidence-based psychotherapy for major depression. They will use the Neuroscience:Translate award to test the efficacy and scalability of this approach and accelerate the development of extended reality technologies to improve treatment options for major depression.

Mental illnesses like bipolar disorder affect millions of people around the world, but early symptoms are often difficult to detect. Working across the disciplines of clinical psychology, communication, and computer science, my research will develop a novel computational tool to identify signals of mania and depression in real-time.