Resting-state functional magnetic resonance imaging (rs-fMRI) serves as a widely used non-invasive brain imaging tool for investigating neurological disorders through functional brain networks (FBN) modeling among brain regions of interest (ROIs). Deep learning frameworks, notably graph neural networks and Transformers...
Li-Na Zhou, Yue-Ying Zhou, Yun-Ling Ma et al.· IEEE journal of biomedical a...· 0 citations
A comprehensive taxonomy of MI EEG cross-variability decoding studies from 2020 to 2025 is presented, systematically organizing advances in deep learning and transfer learning and critically evaluate core algorithmic approaches, including Convolutional Neural Networks, transformers, feature alignment, domain adaptation...
Li-Jun Wang, Yue-Ying Zhou, Peng-Pai Wang et al.· Frontiers in Neuroscience· 0 citations
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