Browse wide-ranging research at the frontiers of neuroscience supported by Wu Tsai Neurosciences Institute grants, awards, and training fellowships.
Projects
Structural and mechanistic analysis of the protein-protein interface between ABCA1 and ApoE as a potential therapeutic target for Alzheimer’s Disease
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.
Dissecting mechanisms of gut-brain communication in Parkinson’s Disease
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.
Novel ketone-derived anticonvulsant agents for the treatment of childhood refractory epilepsy
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.
Life-long, minimally invasive, and multiplex transcriptional profiling of the cerebellum
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.
Use of gut-brain electrophysiology to study interoception in eating disorders
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.
In vivo selection for gene mutations that counteract photoreceptor degeneration
Massively parallel microwire arrays for deep brain stimulation
A principled investigation into the heterogeneous coding properties of medial entorhinal cortex that support accurate spatial navigation
Navigation through an environment to a remembered location is a critical skill we use every day. How does our brain accomplish such a task? Over the last few decades, several lines of evidence have suggested that a brain region called medial entorhinal cortex (MEC) supports navigation by encoding information our location and movement within an environment.
Understanding why neurons die in disease
Many neurological diseases feature the death of neurons, but the mechanisms that mediate cell death in these disorders are unknown. Astrogliosis, the response of a cell-type called “astrocytes” to injury, is common to most diseases of the central nervous system (CNS), and recent studies in our lab suggest that some reactive astrocytes may release a protein that is potently toxic to neurons.
High-speed force probes for deconstructing the biophysics of mechanotransduction
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.
Brain mechanisms of spatial reasoning in mathematics
Creating an advanced transgenic animal model of autism
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.
A novel PET radioligand to identify microglial inflammation in Alzheimer's disease
Geometric analysis and variability mapping in human white matter brain structures
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.
Understanding cellular responses induced by chronic implantation of electrodes using a novel human neural differentiation platform
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.
Modeling proprioceptive deficits for the design of novel sensory augmentation for post-stroke movement rehabilitation
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.
High-speed nanomechanical probing of auditory mechano-sensitive cells
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.
Quantitative imaging for multi-scale modeling of neurological diseases
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.
Improve reproducibility and transparency in the field of neuroimaging by applying nonparametricstatistical methods and writing R packages.
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.
Biologically plausible neural algorithms for learning structured sequences
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.
Neural mechanisms of learning multiple motor skills and implications for motor rehabilitation
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.
Engineering versatile deep neural networks that model cortical flexibility
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.