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Megumi Fukuda
Megumi Fukuda
MathWorks
Dirección de correo verificada de ucl.ac.uk - Página principal
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A small number of abnormal brain connections predicts adult autism spectrum disorder
N Yahata, J Morimoto, R Hashimoto, G Lisi, K Shibata, Y Kawakubo, ...
Nature communications 7 (1), 1-12, 2016
2432016
Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network
F Megumi, A Yamashita, M Kawato, H Imamizu
Frontiers in Human Neuroscience 9, 160, 2015
1272015
Energy landscape and dynamics of brain activity during human bistable perception
T Watanabe, N Masuda, F Megumi, R Kanai, G Rees
Nature communications 5 (1), 1-11, 2014
962014
Brain activity dynamics in human parietal regions during spontaneous switches in bistable perception
F Megumi, B Bahrami, R Kanai, G Rees
NeuroImage 107, 190-197, 2015
532015
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
212020
Brain activity training apparatus and brain activity training system
M Kawato, J Morimoto, N Yahata, R Hashimoto, M Fukuda, K Shibata, ...
US Patent App. 14/438,962, 2015
162015
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
82021
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
22020
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