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Chapter and Conference Paper
Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
Brain large-scale dynamics is constrained by the heterogeneity of intrinsic anatomical substrate. Little is known how the spatio-temporal dynamics adapt for the heterogeneous structural connectivity (SC). Mode...
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Chapter and Conference Paper
Predicting Spatio-Temporal Human Brain Response Using fMRI
The transformation and transmission of brain stimuli reflect the dynamical brain activity in space and time. Compared with functional magnetic resonance imaging (fMRI), magneto- or electroencephalography (M/EE...
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Chapter and Conference Paper
Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior
Understanding the intrinsic patterns of human brain is important to make inferences about the mind and brain-behavior association. Electrophysiological methods (i.e. MEG/EEG) provide direct measures of neural ...
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Chapter and Conference Paper
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data
Function magnetic resonance imaging (fMRI) data are typically contaminated by noise introduced by head motion, physiological noise, and thermal noise. To mitigate noise artifact in fMRI data, a variety of deno...