no code implementations • 4 Dec 2023 • Zhaoyong Liang, Shuangyang Zhang, Zhichao Liang, Zhongxin Mo, XiaoMing Zhang, Yutian Zhong, Wufan Chen, Li Qi
Photoacoustic tomography (PAT) is a promising imaging technique that can visualize the distribution of chromophores within biological tissue.
1 code implementation • 31 Dec 2022 • Zixiang Luo, Kaining Peng, Zhichao Liang, Shengyuan Cai, Chenyu Xu, Dan Li, Yu Hu, Changsong Zhou, Quanying Liu
Effective connectivity (EC), indicative of the causal interactions between brain regions, is fundamental to understanding information processing in the brain.
no code implementations • 26 Dec 2022 • Mowen Yin, Weikai Huang, Zhichao Liang, Quanying Liu, Xiaoying Tang
Our work supports that cortical morphological connectivity, which is constructed based on correlations across subjects' cortical thickness, may serve as a tool to study topological abnormalities in neurological disorders.
no code implementations • 8 Oct 2022 • Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu
The results show that STpGCN significantly improves brain decoding performance compared to competing baseline models; BrainNetX successfully annotates task-relevant brain regions.
no code implementations • 9 Aug 2022 • Wanguang Yin, Zhichao Liang, JianGuo Zhang, Quanying Liu
To this end, we propose a new method to solve the partial least square regression, named PLSR via optimization on bi-Grassmann manifold (PLSRbiGr).
no code implementations • 18 May 2021 • Shuhan Zheng, Zhichao Liang, Youzhi Qu, Qingyuan Wu, Haiyan Wu, Quanying Liu
Here, we propose a physics-based framework of Kuramoto model to investigate oxytocin effects on the phase dynamic neural coupling in DMN and FPN.
no code implementations • 26 Mar 2021 • Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu
In this work, rooted in optimal control theory, we propose a Koopman-MPC framework for real-time closed-loop electrical neuromodulation in epilepsy, which integrates i) a deep Koopman operator based dynamical model to predict the temporal evolution of epileptic EEG with an approximate finite-dimensional linear dynamics and ii) a model predictive control (MPC) module to design optimal seizure suppression strategies.