Lateralization of cortical activity, networks, and hemodynamic lag after stroke: A resting‐state fNIRS study

G Xu, T Chen, J Yin, G Shao, Y Fan… - Journal of …, 2024 - Wiley Online Library
Focal damage due to stroke causes widespread abnormal changes in brain function and
hemispheric asymmetry. In this study, functional near‐infrared spectroscopy (fNIRS) was …

Uncovering Brain Network Insights for Prognosis in Disorders of Consciousness: EEG Source Space Analysis and Brain Dynamics

Z Hao, X Xia, Y Pan, Y Bai, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate prognostic prediction in patients with disorders of consciousness (DOC) is a core
clinical concern and a formidable challenge in neuroscience. Resting-state EEG has shown …

Enhancing Artifact Removal From Scalp EEG Using State-Wise Deep Convolutional Network

X Huang, Z Hao, Y Pan, W Dou - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Pre-processing is a fundamental step for any tasks reliant on scalp EEG data. The presence
of various artifacts in acquired EEG data, which mask the expected features of brain activity …

Threshold-Free Network-Oriented Statistics in Neuroscience

Z Hao, P Wang, X Xia, Y Pan, W Dou - bioRxiv, 2024 - biorxiv.org
Network neuroscience has emerged as an indispensable tool for studying brain structure
and function. Currently, the network-based statistic (NBS) procedure is widely used for …