| The inclusion of functional connectivity information into fMRI-based neurofeedback improves its efficacy in the reduction of cigarette cravings DY Kim, SS Yoo, M Tegethoff, G Meinlschmidt, JH Lee Journal of cognitive neuroscience 27 (8), 1552-1572, 2015 | 111 | 2015 |
| Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity? A Haugg, R Sladky, S Skouras, A McDonald, C Craddock, M Kirschner, ... Human brain mapping 41 (14), 3839-3854, 2020 | 34 | 2020 |
| Are posterior default-mode networks more robust than anterior default-mode networks? Evidence from resting-state fMRI data analysis DY Kim, JH Lee Neuroscience Letters 498 (1), 57-62, 2011 | 34 | 2011 |
| Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback HC Kim, M Tegethoff, G Meinlschmidt, E Stalujanis, A Belardi, S Jo, J Lee, ... NeuroImage 195, 409-432, 2019 | 33 | 2019 |
| Predictors of real-time fMRI neurofeedback performance and improvement–a machine learning mega-analysis A Haugg, FM Renz, AA Nicholson, C Lor, SJ Götzendorfer, R Sladky, ... Neuroimage 237, 118207, 2021 | 24 | 2021 |
| Mesocorticolimbic hyperactivity of deprived smokers and brain imaging JH Lee, DY Kim, J Kim Neuroreport 23 (18), 1039-1043, 2012 | 13 | 2012 |
| Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning DY Kim, EK Jung, J Zhang, SY Lee, JH Lee Human Brain Mapping 41 (15), 4314-4331, 2020 | 3 | 2020 |
| Determinants of Real-Time fMRI Neurofeedback Performance and Improvement–a Machine Learning Mega-Analysis A Haugg, FM Renz, AA Nicholson, C Lor, SJ Götzendorfer, R Sladky, ... bioRxiv, 2020.10. 21.349118, 2020 | 2 | 2020 |
| Cigarette craving modulation is more feasible than resistance modulation for heavy cigarette smokers: empirical evidence from functional MRI data DY Kim, M Tegethoff, G Meinlschmidt, SS Yoo, JH Lee NeuroReport 32 (9), 762-770, 2021 | 1 | 2021 |
| Modulated Neuronal Activity and Connectivity of Smoking Resist Using Real-Time fMRI Neurofeedback DY Kim, JH Lee Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 1 | 2013 |
| Electronic Cigarette Vaping Did Not Enhance the Neural Process of Working Memory for Regular Cigarette Smokers DY Kim, Y Jang, DW Heo, S Jo, HC Kim, JH Lee Frontiers in Human Neuroscience 16, 817538, 2022 | | 2022 |
| Hub of functional network changes from real-time fMRI neurofeedback on heavy smokers DY Kim, JH Lee The 3rd International Winter Conference on Brain-Computer Interface, 1-2, 2015 | | 2015 |
| Unsupervised learning toward brain imaging data analysis: cigarette craving and resistance related neuronal activations from functional magnetic resonance imaging data analysis DY Kim, JH Lee Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2014 | | 2014 |
| Pseudo-real fMRI data generation and its utility toward quantitative evaluation of analytical methods DY Kim, JH Lee 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | | 2012 |
| Are there brain regions related to speech perception? Evidence from a functional MRI study HJ Kang, DY Kim, JH Lee 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | | 2012 |
| Spatial localization of lower limb movement on whole brain using 3D-pose estimation: an fMRI study M Park, S Jo, DY Kim, MS Choi, S Jeon, I Youn, SJ Lee, JH Lee | | |
| Estimation of task-related regions from default-mode networks in the real-time fMRI settings DY Kim, JH Lee | | |
| Iterative Dual-Regression with Sparse Prior to Estimate Individual Neuronal Activations from Group Functional Magnetic Resonance Imaging (fMRI) Data YH Kim, DY Kim, JH Lee | | |
| Enhanced pattern distinctness using support vector coefficients than multi-voxel beta values DY Kim, JH Lee | | |
Seung-Schik Yoo, Ph.D., MBAAssociate Professor, Department of Radiology, Brigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
