Join us to learn more about the environmental risk factors for Parkinson's. **Can't make this date? Register to receive a link to the recording.** About our speaker: Beate Ritz, MD, Ph.D. is a Professor of Epidemiology and Environmental Health Sciences and Neurology at UCLA.  Her research focuses on environmental and genetic factors that influence the risk of Parkinson’s disease. Measurement and modeling of environmental factors has been a special focus of her lab for decades. She is the principle investigator of two of the largest community-based studies of Parkinson’s disease worldwide located in the central valley of California and in Denmark. These studies identified environmental risk factors for Parkinson’s disease onset and progression using geographic information systems as well as metabolomic, genomic, and epigenomic approaches; most recently, her lab she has started to integrate the gut microbiome into these investigations. She is the Past President and a Fellow of the International Society of Environmental Epidemiology (ISEE), has served on numerous National Academy of Sciences and California State Scientific Advisory panels and committees, and recently received the Society for Epidemiology Research (SER) Ken Rothman Career Achievement Award. -- This event is part of PCLA's "Let's Talk Parkinson's" series of live […]

  Join us for a conversation about the latest research from Tass Lab, which is designed to impact the course of diseases like Parkinson’s, stroke and tinnitus, with the possibility of influencing numerous other diseases. Their technology appears to induce long-lasting relief with stimulation that is only delivered for a few hours on an intermittent or regular basis. About our speaker: Dr. Peter Tass investigates and develops neuromodulation techniques for understanding and treating neurologic conditions such as Parkinson’s disease, epilepsy, dysfunction following stroke and tinnitus. He creates invasive and non-invasive therapeutic procedures by means of comprehensive computational neuroscience studies and advanced data analysis techniques. The computational neuroscience studies guide experiments that use clinical electrophysiology measures, such as high density EEG recordings and MRI imaging, and various outcome measures. He has pioneered a neuromodulation approach based on thorough computational modelling that employs dynamic self-organization, plasticity and other neuromodulation principles to produce sustained effects after stimulation. To investigate stimulation effects and disease-related brain activity, he focuses on the development of stimulation methods that cause a sustained neural desynchronization by an unlearning of abnormal synaptic interactions. He also performs and contributes to pre-clinical and clinical research in related areas. -- This event is […]