Browse wide-ranging research at the frontiers of neuroscience supported by Wu Tsai Neurosciences Institute grants, awards, and training fellowships.
Projects
Remote reliable measurements of movement using a Bluetooth enabled engineered keyboard solve an unmet need in neurological diseases
This team is developing a device that will enable accurate diagnosis of Parkinson’s disease via telemedicine. They initially introduced the technology of Quantitative DigitoGraphy (QDG) using a repetitive alternating finger tapping (RAFT) task on a musical instrument digital interface (MIDI) keyboard and will use Neuroscience: Translate funding for the next stage of device development.
Stanford Brain Organogenesis Program (Phase 2)
Developing brain organoids and assembloids – three dimensional brain tissues grown in the lab – to study human brain development, evolution and neuropsychiatric disorders.
Design and development of a high-performance intra-cortical speech BCI
Many neurological injuries and diseases such as brainstem stroke and Amyotrophic Lateral Sclerosis (ALS) result in severe speech impairment, drastically reducing quality of life. Recent progress in brain-computer interfaces (BCI) has allowed these individuals to communicate, but performance is still far lower than typical spoken conversation speeds.
Mapping the Mitophagy Network in Parkinson’s Disease
We will comprehensively define the gene network associated with mitochondrial dysfunction in Parkinson's disease using a cutting-edge technology, CRISPR, to understand how these nerve cells die in PD and how we can reverse the cell death to treat the disease.
Inflammation, Major Histocompatibility Class I and human brain development
Maternal infection is linked to increased risk of neurodevelopmental disorders such as autism and schizophrenia. This proposal examines how virus-associated cytokines, specifically interferons, affect human neurons modeled in brain organoids or studied directly in fetal brain samples.
Topical Hedgehog modulators to enhance motor nerve regeneration after injury and repair
Development and validation of selective novel small molecule therapeutics for Parkinson's Disease
Extended Reality(XR) enhanced behavioral activation for treatment of Major Depressive Disorder
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.
Autism digital therapy with embedded endpoints and artificial intelligence for progress tracking and adaptive care - Renewal
Development of an extracochlear neurostimulation device to restore hearing – Renewal
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.
Remote reliable measurements of movement using bluetooth enabled engineered keyboard for diagnosis of neurological diseases - Renewal
This team is developing a device that will enable accurate diagnosis of Parkinson’s disease via telemedicine. They initially introduced the technology of Quantitative DigitoGraphy (QDG) using a repetitive alternating finger tapping (RAFT) task on a musical instrument digital interface (MIDI) keyboard and will use Neuroscience: Translate funding for the next stage of device development.
Leveraging screenomics to identify mental illness: Detecting bipolar disorder through computational analysis of smartphone screen data
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.
Optimizing computational modeling of traumatic brain injury with machine learning: biomechanics and beyond
Traumatic brain injury (TBI) has become a global health hazard. If undetected, the brain damage of TBI can accumulate, calling for better TBI modeling and warning systems. TBI modeling involves three stages: head impact kinematics, brain deformation, and injuries.
Mechanistic insights into glycerophospholipid metabolism in the lysosome
Phospholipid dysregulation is implicated in the pathogenesis of lysosomal storage disorders (LSDs). We found that glycerophosphodiesters (GPDs) accumulate in lysosomes derived from Batten disease models, a life-limiting LSD whose pathological mechanism remains elusive. GPDs are the degradation products of glycerophospholipid catabolism by phospholipases.