NeuroHealth
Translating neuroscience discoveries into treatments
Understanding the brain in health and disease will improve treatments for ourselves and our loved ones. Our clinical scientists not only treat patients, but are also working with basic scientists to pioneer novel treatments for psychiatric and neurological disease. Ongoing research aims to reverse brain aging, ease the devastating consequences of stroke, and develop non-invasive treatments to modulate brain activity associated with epilepsy and other neurological diseases. Breakthrough improvements in brain and mental health benefit not just individuals, but society as a whole.
Funded Research - Big Idea
Developing brain organoids – three dimensional brain tissues grown in the lab – to study human brain development, evolution and neuropsychiatric disorders.
Funded Research - Postdoctoral Fellowship
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.
Funded Research - Seed Grant
This proposal brings together faculty with this diverse expertise to develop the first gold standard test of auditory-vocal affect. Once developed, validated, and normed, we will deploy this test in the clinical context of autism to quantify impairments and direct neurobiological investigation.
Funded Research - Seed Grant
We will combine the genetics expertise of the Kingsley lab and the neuroscience expertise of the Raymond lab to characterize molecular, cellular, neurophysiological, and behavioral defects in mice engineered to model the risk or protective variants in the human calcium channel gene.
Funded Research - Seed Grant
This team will leverage the power of silicon probes to record from hundreds of neurons in mouse epilepsy models to understand neural correlates of the pre-seizure EEG. These results will be used to optimize a real-time seizure prediction algorithm that will be tested in human patients.
News - Jul 26 2019
Palo Alto Online
News - Jul 21 2019
Stanford Medicine - News Center
