Kay Park
Program: Neurosciences
Current advisor: Eric Leuthardt, MD
Undergraduate university: Washington University
Research summary
The overarching question of my research is straightforward: Can infraslow rs-fMRI BOLD signals serve as effective biomarkers for glioblastoma-bearing and aging brains? Clinically, refined biomarkers are crucial for developing preventative strategies, identifying therapeutic targets, and defining clinical endpoints. Scientifically, leveraging rs-fMRI signals provides comprehensive insights into the whole-brain neurophysiological functions within glioblastoma-bearing and aging brains. My research specifically focuses on evaluating the spectral properties of spontaneous BOLD signals. The key questions I aim to answer involve the potential generative mechanisms responsible for these baseline spectral properties, as well as the physiological and pathological processes that induce changes in them.
Graduate publications
Park KY, Shimony JS, Chakrabarty S, Tanenbaum AB, Hacker CD, Donovan KM, Luckett PH, Milchenko M, Sotiras A, Marcus DS, Leuthardt EC, Snyder AZ. 2024 Optimal approaches to analyzing functional MRI data in glioma patients. J Neurosci Methods, 402():110011.
Luckett PH, Lee JJ, Park KY, Raut RV, Meeker KL, Gordon EM, Snyder AZ, Ances BM, Leuthardt EC, Shimony JS. 2023 Resting state network mapping in individuals using deep learning. Front Neurol, 13():1055437.
Lamichhane B, Luckett PH, Dierker D, Yun Park K, Burton H, Olufawo M, Trevino G, Lee JJ, Daniel AGS, Hacker CD, Marcus DS, Shimony JS, Leuthardt EC. 2023 Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survival. Neurooncol Adv, 5(1):vdad034.
Luckett PH, Park KY, Lee JJ, Lenze EJ, Wetherell JL, Eyler LT, Snyder AZ, Ances BM, Shimony JS, Leuthardt EC. 2023 Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning. J Neurosurg, 1-12(epub ahead of print):.
Park KY, Snyder AZ, Olufawo M, Trevino G, Luckett PH, Lamichhane B, Xie T, Lee JJ, Shimony JS, Leuthardt EC. 2023 Glioblastoma induces whole-brain spectral change in resting state fMRI: Associations with clinical comorbidities and overall survival. Neuroimage Clin, 39():10347.
Luckett PH, Maccotta L, Lee JJ, Park KY, U F Dosenbach N, Ances BM, Hogan RE, Shimony JS, Leuthardt EC. 2022 Deep learning resting state functional magnetic resonance imaging lateralization of temporal lobe epilepsy. Epilepsia, 63(6):1542-1552.
Daniel AGS, Park KY, Roland JL, Dierker D, Gross J, Humphries JB, Hacker CD, Snyder AZ, Shimony JS, Leuthardt EC. 2021 Functional connectivity within glioblastoma impacts overall survival. Neuro Oncol, 23(3):412-421.
Park KY, Lee JJ, Dierker D, Marple LM, Hacker CD, Roland JL, Marcus DS, Milchenko M, Miller-Thomas MM, Benzinger TL, Shimony JS, Snyder AZ, Leuthardt EC. 2020 Mapping language function with task-based vs. resting-state functional MRI. PLoS ONE, 15(7):e0236423.
Shimony JS, Leuthardt EC, Dierker D, Park KY, Hacker CD, Snyder AZ. (2020). Resting State Functional MRI for Presurgical Planning. In Ulmer, S., Jansen, O. (eds.), fMRI (pp. 287-301). : Springer, Cham.
Luckett P, Lee JJ, Park KY, Dierker D, Daniel AGS, Seitzman BA, Hacker CD, Ances BM, Leuthardt EC, Snyder AZ, Shimony JS. 2020 Mapping of the Language Network With Deep Learning. Front Neurol, 11():819.