Our Research
Find a complete list of publications here:
https://www.ncbi.nlm.nih.gov/myncbi/1NQwb6w5uwBc7v/bibliography/public/
Assessing post-stroke cognition in pre-clinical models: Lessons and recommendations from a multi-center study
We joined a world-wide network of pre-clinical stroke researchers, and designed a trial to test cognition after stroke in rodent models. We provide recommendations and suggest important considerations for future stroke cognition studies for both individual labs and multi-site groups.
Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses.
We used machine learning to predict mood in chronic stroke participants using >5,000 plasma proteins. We combined that with a comprehensive literature review of major depression and acute post-stroke depression to propose a hypothetical model where stroke activates the immune response, which triggers changes in serotonin activity and neuronal plasticity leading to depressed mood.
The local and peripheral immune responses to stroke: Implications for therapeutic development
The immune response plays a critical role in recovery in both the acute and chronic phases after stroke. In patients, the immune response can be beneficial by promoting repair and recovery, and also detrimental by propagating a pro-inflammatory microenvironment. Thus, it is critical to understand the mechanisms of immune activation following stroke in order to successfully design therapeutics.