Funded Projects

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.

People with Parkinson’s Disease (PD) have different types of bacteria in their guts compared to people without neurological diseases. We will study which gut bacteria for people with PD to gain a better understanding of how gut bacteria contribute to inflammation in the body and in the brain or people with this condition. 

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.

Why do all our brains mature and age in different ways, leading to different cognitive and behavioral outcomes? We envision a novel method that “copies” the information from the RNAs made by the neurons to sensor RNAs we artificially introduce into live animals. 

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.

The purpose of this collaborative project is to study neuronal mechanisms associated with social stress. In particular we will test whether the energy producing systems, known as mitochondria, in a specific set of brain cells are important to confer resilience to stressful stimuli. This research may lead to treatments of stress and anxiety disorders. 

Our goal is to develop the next generation of neural interfaces that match the resolution and performance of the biological circuitry. We will focus on two signature efforts to spearhead the necessary advances: high-density wire bundles for electrical recording and stimulation, and analog and digital bi-directional retinal prostheses for restoration of vision.

The Stanford Brain Rejuvenation Project is an initiative by leading aging researchers, neuroscientists, chemists, and engineers to understand the basis of brain aging and rejuvenation and how they relate to neurodegeneration.

Combining a detailed understanding of brain circuits with technology that modulates neural activity to develop improved ways of treating mental health conditions.

The goal is to forge an inter-disciplinary collaboration between physicists, biologists, chemists, and translational medical scientists by inventing new ways of visualizing the brain, from individual molecules to neuronal circuits to entire brain regions, from a normally functioning neuron to a diseased brain.

Creating an incubator for next-generation neural interface platforms.

Developing technology to interface with the brain and create intelligent prosthetics.

Breaches barriers in our understanding of stroke to develop therapies and improve stroke recovery.

Autism is a highly genetic developmental brain disorder which is characterized by social impairments. Autism affects 1 in 68 US children, with an annual cost in the US of $250 billion dollars. Unfortunately, the basic biology of autism remains poorly understood.

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.