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Technology, Brain and Development – fNIRS Brain Imaging Laboratory, CHGD
November 28, 2017 @ 12:00 pm - 1:00 pm
This seminar features Alex DaSilva, D.D.s, M.Sc., Associate Professor of Dentistry and co-director of the fNIRS lab, Ioulia Kovelman Associate Professor of Psychology and co-director of the fNIRS lab, and Xiaosu Hu, Ph.D. Research Investigator, CHGD.
Dr. DaSilva is currently the Director of H.O.P.E. (Headache & Orofacial Pain Effort), a multidisciplinary collaborative effort to investigate the brain as a research and therapeutic target for chronic trigeminal pain disorders. The fact that many therapeutic modalities for chronic pain, which focus on peripheral mechanisms, do not provide relief for treatment-resistant patients raises the possibility that the cause for the chronicity of these debilitating disorders may lie in the brain itself. One hypothesis is that functional and structural dysfunction of specific cortical areas (e.g. SI, DLPFC), even at a molecular level (e.g. opioidergic and gabanergic mechanisms), may be responsible for the persistence and intensification of the pain suffering. Together with collaborators from the University of Michigan and other academic institutions, we use state-of-the-art neuroimaging techniques (fMRI, PET, MRS, DTI, and MRI-based morphometry) to study neuroplasticity, and to investigate novel therapeutic approaches and mechanisms in chronic trigeminal pain disorders, including TMD the main focus.
Dr. Kovelman’s research interests are in language and reading development in monolingual and bilingual infants, children, and adults. Her work includes both typical and atypical language and reading development using a variety of behavioral and brain imaging methods (fMRI, fNIRS). At CHGD, she is co-director of the fNIRS Brain Imaging Laboratory and conducts research on bilingual language and reading acquisition.
Dr. Xiaosu Hu (Frank) is a cognitive neuroscientist with engineer background. His research interest is brain imaging methodologies including functional Near-Infrared Spectroscopy (fNIRS) & electroencephalogram (EEG) and their applications. His methodological research includes fNIRS and EEG data analysis methods and interface development. His applied researches are using fNIRS to study human daily behavior accompanied brain responses, including pain evoked human brain response, different mental states while people are driving, and the pediatric brain responses in language acquisition, etc.