Zhaohua Ding

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

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.

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 paper introduces BrainVAE, a transformer-based variational autoencoder, to classify preclinical Alzheimer's disease using white matter BOLD signals and finds it outperforms other models when combining white and gray matter data.

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 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.

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.

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