Search Results for author: Zhichao Liang

Found 7 papers, 0 papers with code

Deep learning acceleration of iterative model-based light fluence correction for photoacoustic tomography

no code implementations4 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.

Mapping the whole-brain effective connectome with excitatory-inhibitory causal relationship

no code implementations31 Dec 2022 Zixiang Luo, Zhichao Liang, Chenyu Xu, Changsong Zhou, Quanying Liu

Understanding the large-scale causal relationship among brain regions is crucial for elucidating the information flow that the brain integrates external stimuli and generates behaviors.

Network analysis on cortical morphometry in first-episode schizophrenia

no code implementations26 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.


Explainable fMRI-based Brain Decoding via Spatial Temporal-pyramid Graph Convolutional Network

no code implementations8 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.

Brain Decoding

Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding

no code implementations9 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).

EEG Eeg Decoding +1

Kuramoto model based analysis reveals oxytocin effects on brain network dynamics

no code implementations18 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.

Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy

no code implementations26 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.

EEG Electroencephalogram (EEG) +1

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