MIPL
Bo-yong Park, 박보용
Ph.D.
Career
Assistant Professor at Korea University, previously Assistant Professor at Inha University and Postdoctoral research fellow at McGill University (with Prof. Boris Bernhardt)
Education
B.S. in Electronics Engineering, Sungkyunkwan University, 2015
Ph.D. in Electrical and Computer Engineering, Sungkyunkwan University, 2019
Journal Publication
B.-y Park, C.-S. Chung, M. J. Lee#, and H. Park#, “Accurate neuroimaging biomarkers to predict body mass index in adolescents: a longitudinal study”, accepted for Brain Imaging and Behavior, April 2019 (# corresponding authors).
M. J. Lee*, B.-y Park*, S. Cho, S. T. Kim, H. Park, and C.-S. Chung, “Increased connectivity of pain matrix in chronic migraine: a resting-state functional MRI study”, Journal of Headache and Pain, vol. 20, article 29, doi: 10.1186/s10194-019-0986-z. March 2019
B.-y Park, W. M. Shim, O. James, and H. Park, “Possible links between the lag structure in visual cortex and visual streams using fMRI”, Scientific Reports, vol. 9, article 4283, doi: 10.1038/s41598-019-40728-x, March 2019.
K. Byeon*, B.-y Park*, and H. Park, “Spatially guided functional correlation tensor: A new method to associate body mass index and white matter neuroimaging”, accepted for Computers in Biology and Medicine, February 2019 (* equal contribution). Link
B.-y Park, K. Byeon, and H. Park, “FuNP (Fusion of Neuroimaging Preprocessing) pipelines: A fully automated preprocessing software for functional magnetic resonance imaging”, Frontiers in Neuroinformatics, vol. 13, article 5, doi: 10.3389/fninf.2019.00005, February 2019.
B.-y. Park, M. J. Lee, M. Kim, S.-H. Kim, and H. Park, “Structural and functional brain connectivity changes between people with abdominal and non-abdominal obesity and their association with behaviors of eating disorders”, Frontiers in Neuroscience, vol. 12, article 741, doi: 10.3389/fnins.2018.00741, October 2018.
B.-y. Park*, M. J. Lee*, S-H. Lee, J. Cha, C.-S. Chung, S. T. Kim, and H. Park, “DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs” Neuroimage: Clinical, vol. 18, p. 638-647, March 2018 (* equal contribution). Link
B.-y. Park, K.-J. Tark, W. M. Shim*, and H. Park*. Functional connectivity based parcellation of early visual cortices, Human Brain Mapping (2017 Dec.). [Epub ahead of print] doi:10.1002/hbm.23926
B.-y Park, T. Moon, and H. Park, “Dynamic functional connectivity analysis reveals improved association between brain networks and eating behaviors compared to static analysis”, Behavioural Brain Research, vol. 337, p.114-121, January 2018.
B.-y Park, J. Hong, and H. Park, “Neuroimaging biomarkers to associate obesity and negative emotions”, Scientific Reports, vol. 7, article 7664, doi:10.1038/s41598-017-08272-8, August 2017.
B.-y. Park, J. Hong, S.-H. Lee, and H. Park, “Functional connectivity of child and adolescent attention deficit hyperactivity disorder patients: correlation with IQ”, Frontiers in Human Neuroscience, 10:565, 2016.
B.-y. Park, M. Kim, J. Seo, J.-M. Lee, and H. Park, “Connectivity analysis and feature classification in attention deficit hyperactivity disorder sub-types: a task functional magnetic resonance imaging study”, Brain Topography, 29(3):429-439, 2016.
B.-y. Park, J. Seo, and H. Park, “Functional brain networks associated with eating behaviors in obesity”, Scientific Reports, 6:23891, 2016.
B.-y. Park and H. Park, “Connectivity differences between adult male and female patients with attention deficit hyperactivity disorder according to resting-state functional MRI”, Neural Regeneration Research, 11(1):119-125, 2016.
B.-y. Park, J. Seo, J. Yi, and H. Park, “Structural and functional brain connectivity of people with obesity and prediction of body mass index using connectivity”, PLoS ONE, 10(11):e0141376, 2015