3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.HC2025
Exploring the distribution of connectivity weights in resting-state EEG networks
Shiang Hu, Xiao Gong, Xiaolong Huang +2
The resting-state brain networks (RSNs) reflects the functional connectivity patterns between brain modules, providing essential foundations for decoding intrinsic neural informati…
q-bio.NC2023★ 2 cited
How do the resting EEG preprocessing states affect the outcomes of postprocessing?
Shiang Hu, Jie Ruan, Juan Hou +2
Plenty of artifact removal tools and pipelines have been developed to correct the EEG recordings and discover the values below the waveforms. Without visual inspection from the exp…
cs.HC2023★ 3 cited
Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
Shiang Hu, Jie Ruan, Nicolas Langer +4
The brain projects require the collection of massive electrophysiological data, aiming to the longitudinal, sectional, or populational neuroscience studies. Quality metrics automat…