Muwei Li

The paper shows that functional connectivity gradients vary with cortical sampling position and brain state, revealing state-dependent reconfiguration of surface representations.

The paper uses a computational-counterfactual framework to show that cortical responses to natural movies are better predicted by native audiovisual semantics than by additive unimodal reconstructions.

This paper shows that white-matter BOLD signals can be predicted from cortical activity using multivariate encoding, revealing functional organization beyond pairwise connectivity.

This study quantifies relative hemodynamic timing in white matter using Local Propagation Mapping and finds age-related changes in lag patterns associated with cognitive performance.

This study examines how macroeconomic factors like gasoline prices correlate with large-scale brain network organization in a population of healthy young adults.

The paper shows that white-matter BOLD signals mediate time-varying cortico-cortical functional connectivity, with temporal variability in WM signals correlating with dynamic GM-GM connectivity.

This study uses a large language model to link naturalistic movie content to brain activity, finding alignment in association cortex but not in sensory regions, and linking explainability to cognitive abilities.

This study compares the orientation of white matter nerve fibers and vasculature in the human brain using diffusion MRI and susceptibility weighted imaging, finding that vasculature aligns with some but not all white matter tracts.

The paper identifies functional white matter networks in BOLD fMRI using hierarchical clustering and validates their stability across scans and populations.

This study maps the relationship between functional and structural brain connectivity, revealing gender and age-related differences in white matter engagement as a potential biomarker for neurological conditions.

The paper characterizes lifespan changes in white matter microstructure, macrostructure, and associated cortical morphology using large datasets, finding unique developmental and aging trajectories across brain pathways.

The paper investigates BOLD signal changes in both white and gray matter using model-free analysis and simple tasks, finding time-locked activations across the whole brain.

This paper introduces a model-free method to detect task-evoked BOLD signal synchrony in white matter using fiber-architecture-informed spatial windows and modified PCA, showing reliable detection in fMRI data.

The paper quantifies resting-state BOLD hemodynamic response functions (HRF) in white matter, showing significant differences from gray matter and variation along WM pathways.

The paper investigates time-varying spectral patterns of resting-state BOLD signals in white matter and identifies recurring modes with specific spatial and behavioral associations.

The paper examines BOLD signal latency variations in white matter across different sensory states using resting-state fMRI data, finding reproducible patterns and directional propagation.

This study finds that low frequency resting state BOLD signals in white matter correlate with local glucose uptake and spontaneous BOLD fluctuations, indicating metabolic activity related to neural activity.

This study investigates dysconnectivity in the auditory-cognitive network and its relation to GABA and glutamate levels in presbycusis patients, linking neurochemical changes to cognitive impairment.

The paper identifies distinct BOLD time courses in white matter using power spectra, revealing two categories of voxels with different functional and anatomical properties.