46 citations · 53 across the 9 of their papers we have counts for
9 papers
GANORM: Lifespan Normative Modeling of EEG Network Topology based on Multinational Cross-Spectra
Shiang Hu, Xiaolong Huang, Yifan Hu +4
Charting the lifespan evolutionary trajectory of brain function serves as the normative standard for preventing mental disorders during brain development and aging. Although numero…
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…
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…
Hierarchical Event Descriptor library schema for EEG data annotation
Dora Hermes, Tal Pal Attia, Sándor Beniczky +11
Standardizing terminology to annotate electrophysiological events can improve both computational research and clinical care. Sharing data enriched with standard terms can facilitat…
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…
Sparse electrophysiological source imaging predicts aging-related gait speed slowing
Vega-Hernandez, Mayrim, Galan-Garcia +17
Objective: We seek stable Electrophysiological Source Imaging (ESI) biomarkers associated with Gait Speed (GS) as a measure of functional decline. Towards this end we determine the…
Multiple penalized least squares and sign constraints with modified Newton-Raphson algorithms: application to EEG source imaging
Mayrim Vega-Hernández, José M. Sánchez-Bornot, Agustín Lage-Castellanos +6
Multiple penalized least squares (MPLS) models are a flexible approach to find adaptive least squares solutions required to be simultaneously sparse and smooth. This is particularl…
Empirical bayes formulation of the elastic net and mixed-norm models: application to the eeg inverse problem
Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López +2
The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem, due to the non-uniqueness of the solution, and many kind…
Spatio-temporal Granger causality: a new framework
Qiang Luo, Wenlian Lu, Wei Cheng +4
That physiological oscillations of various frequencies are present in fMRI signals is the rule, not the exception. Herein, we propose a novel theoretical framework, spatio-temporal…