Dr. Liu has over 10 years educational and research experience in Biomedical imaging and is the author of over 20 peer-reviewed scientific publications and conference papers. Her Ph.D. and early postdoctoral trainings were focused on the development of near-infrared spectroscopy (NIRS) and its application to breast cancer detection, including both human and small animal models. Dr. Liu’s current research focus on the following projects: development of neurofeedback-based intervention paradigms to enhance cognitive functions of children with autism spectrum disorder (ASD); investigation of neuroimaging as a biomarker for children with ASD and Anxiety-related disorder (ANX); development of functional NIRS as a stand alone technique and in combination with functional MRI for cognitive studies; development of hyperscan technique to study neural mechanisms for social cognition.
Honors & Awards
Translational Postdoctoral Fellowship, Autism Speaks (9/1/2013 -8/31/2015)
Education & Certifications
Ph.D., Tufts University, Biomedical Engineering (2009)
MS, Tufts University, Electrical Engineering (2003)
Imaging-based real-time feedback to enhance therapeutic intervention in ASD, Autism speaks Inc. (9/1/2013 - 8/31/2015)
Functional near infrared spectroscopy (fNIRS) is a new, state-of-the-art neuroimaging method. It is safe, portable, easy to use, patient-friendly and cost-effective. fNIRS allows measurement of brain function in a naturalistic environment (e.g., sitting and conversing) and can be used to provide real-time monitoring of dynamic brain activity. Autism spectrum disorder (ASD) is the most compelling among all brain-based disorders with respect to impact on the life of the affected individual, and the wide variation in symptoms and severity. Since there is currently no cure for autism, a focus on the development of new, more effective therapeutic interventions could significantly improve the quality of life for those with ASD. This project will develop a highly novel fNIRS-based paradigm to enhance the effectiveness of behavioral interventions focused on social cognition. Specifically, the investigators will utilize fNIRS to enable clinicians to quantitatively determine brain activation of their patients in real-time, and provide feedback to their patients based on neural circuitry as well as behavioral response. This project will accelerate the translation of fNIRS functional imaging to enhance the treatment of ASD. The initial stage of the research training will provide fundamental knowledge of ASD including diagnostic procedures, evidence-based clinical interventions and prevailing theories of contributory neurobiology. The fellowship experience will also provide training in fNIRS signal processing and analysis within a bioengineering context. The collective training has the potential to lead to translational biomedical imaging, and to develop more effective methods and devices to treat ASD.
401 Quarry Rd. Stanford, CA
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