YingYing Wang

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Neuroimaging for Language, Literacy & Learning Lab

Yingying Wang Associate Professor

Postdoctoral, Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, 2014-15
Ph.D., Biomedical Engineering, University of Cincinnati, 2013
M.S., Biomedical Engineering, Shanghai University, Shanghai, China, 2005
B.S., Biomedical Engineering, Shanghai University, Shanghai, China, 2002

Yingying Wang, Ph.D, is an associate professor specializing in advanced neuroimaging techniques, such as functional Magnetic Resonance Imaging (fMRI), Diffusion Weighted Imaging (DWI), Electroencephalography (EEG) and Magnetoencephalography (MEG) to study brain development during literacy and language acquisition. Her passion is to be an outstanding educator and make significant research contributions in the field of brain imaging.

She teaches Readings & Research: Language & Literacy, Seminar: Brain Imaging Research, and Neuro Bases Speech & Language courses.

Yingying earned her doctoral degree in biomedical engineering under Dr. Scott K. Holland's mentorship at Cincinnati Children's Hospital/University of Cincinnati in 2013. Her dissertation, titled "Integration of fMRI and MEG towards modeling language networks in the brain", aimed to fuse fMRI and MEG data to optimize spatial and temporal resolution of imaging data. Her long-standing interest is the evolution of language network and how language network varies among individuals. By combining fMRI and MEG data using a Bayesian framework, she can tap into the dynamic changes of brain networks instead of static functional brain regions.

Yingying finished her two-year post-doctoral fellowship in Dr. Nadine Gaab's Lab at Boston Children's Hospital/Harvard Medical School in 2015. She compared brain image data from children with a family history of dyslexia with those without a family history. She found brain alterations in white matter integrity even before reading onset. With that and behavioral measures and family history, she theorizes that brain imaging data can help to identify children at risk for developing reading disabilities even before second or third grade, which opens a huge potential to implement early intervention programs to help those at-risk children to learn compensation strategies. She is also exploring the relationship between executive function and reading ability in children using fMRI with a longitudinal study design.

Areas of Expertise:

    Brain factors predicting surgical outcomes for cochlear implant candidates
    Neural basis of reading development in children who are deaf/hard of hearing
    Neuroimaging (fNIRS, fMRI, DWI, EEG, MEG) to study brain development during language acquisition

Professional Highlights

Honors and Recognition
2018, Research Development Fellows Program, Office of Research and Economic Development, University of Nebraska-Lincoln 2016, Scholarly Enhancement Program, College of Education and Human Sciences, University of Nebraska-Lincoln2015, The Fellow Award, Division of Developmental Medicine, Boston2014, Cognitive Neuroscience Society People’s Choice Award Poster2014, NIH funded Neuroimaging Training Award, University of California, LA2012, Graduate Student Research Fellowship (top 27%), University of Cincinnati2012, 2013, Conference Travel Awards ($800), University of Cincinnati
2022-present, Associate Professor, University of Nebraska-Lincoln2016-21, Assistant Professor, University of Nebraska–Lincoln2006-09, Research Assistant III, Magnetoencephalography Center, Cincinnati Children’s Hospital, Ohio2005-06, Research Assistant, Magnetoencephalography Laboratory, The Hospital for Sick Children, Toronto, Ontario, Canada
Society for the Neurobiology of LanguageNebraska Speech-Language-Hearing AssociationAmerican Speech-Language-Hearing AssociationAssociation for Psychological ScienceSociety of NeuroscienceAmerican Association for the Advancement of ScienceCognitive Neuroscience SocietyIEEE Engineering in Medicine and Biology Society MembershipIEEE Women in Engineering MembershipOrganization for Human Brain Mapping