Shi Gu

The paper analyzes how linguistic context influences visual cortex representations using fMRI data from a caption-image matching task, identifying two distinct voxel populations with different response patterns.

This paper improves voxel-wise encoding models by integrating DNN features and brain network information, achieving better prediction of whole-brain neural activity during naturalistic video perception.

The paper examines non-linear functional connectivity using resting-state fMRI data and finds that non-normal distribution patterns are rare and inconsistent across subjects.

The paper investigates how structural brain networks influence functional dynamics through network controllability, finding that boundary controllability mediates the relationship between structural participation and functional flexibility.

The paper describes an ensemble of deep neural networks that predict neural responses to naturalistic videos using multiple input perspectives, achieving state-of-the-art performance.

This paper evaluates test-retest reliability of multilayer network measures in neuroimaging, identifying methodological factors affecting reliability and task-specific requirements.

The paper uses network control theory to show that structural brain networks mature during adolescence to reduce the energy cost of activating the frontoparietal system, supporting executive function development.

This paper develops an Edge-weighted Graph Attention Network to classify Bipolar Disorder from healthy controls using structural and functional brain data, achieving improved accuracy and F1-score.

The paper uses a pairwise maximum entropy model to analyze intracranial EEG data and shows it captures neural dynamics and identifies white matter connections.

The paper identifies brain-based dimensions of psychopathology using sCCA in youths, finding four dimensions linked to functional dysconnectivity that replicate in an independent dataset.

The paper introduces a method to detect hierarchical 3D genome domain reconfiguration using network modularity analysis across cellular states.