Yanmei Tie, PhD
Dr. Tie received her Ph.D. in Biomedical Engineering
and M.S. in Electrical Engineering from Louisiana Tech University. Her research endeavors focus on the development
and application of advanced signal and image processing techniques to multiple
brain mapping modalities, particularly functional MRI, in order to improve
pre-surgical planning for neurosurgical patients.
Tie Y, Whalen S, Suarez RO, Golby AJ. Group independent component analysis of language fMRI from word generation tasks. Neuroimage 2008 Sep1;42(3):1214-25. PMID: 18621548. PMCID: PMC2598840.
Tie Y, Suarez RO, Whalen S, Norton IH, Golby AJ. Identification of essential language areas by combination of fMRI from different tasks using probabilistic independent component analysis. Journal of Biomedical Science and Engineering 2008; 1(3), 157-162.
Tie Y, Suarez RO, Whalen S, Radmanesh A, Norton IH, Golby AJ. Comparison of blocked and event-related fMRI designs for pre-surgical language mapping. Neuroimage 2009; 47(Suppl 2):T107-115. PMID: 19101639. PMCID: PMC3036974.
Tie Y, Rigolo L, Norton I, Huang RY, Wu W, Orringer D, Mukundan S, Golby AJ, 2012. Defining language networks from resting-state fMRI for surgical planning — A feasibility study. Hum Brain Mapp. 2014 Mar;35(3):1018-1030. PMID: 23288627. PMCID: PMC3683367.
Langs G, Sweet A, Lashkari D, Tie Y, Rigolo L, Golby AJ, Golland P. Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients. Neuroimage. 2014 Aug 27 [Epub ahead of print]. PMID: 25172207.