Yigu Zhou

This paper quantifies multiscale MRI changes in focal cortical dysplasia lesions and links them to macroscale brain organization patterns.

This study benchmarks spatial interpolation methods for brain maps, finding that stochastic frameworks like Ordinary Kriging and Regression Kriging outperform deterministic methods in accuracy and biological realism.

This study identifies patient-specific functional biomarkers in temporal lobe epilepsy using multimodal MRI data to predict clinical outcomes and guide precision therapeutics.

This paper reviews AI/ML applications in MRI for epilepsy, finding high accuracy in diagnosis and prediction but significant bias issues limiting clinical use.

The paper shares a multimodal 7T MRI dataset of ten healthy individuals, providing structural and functional brain data across multiple imaging modalities and parcellation scales.

This study shows that pharmaco-resistant temporal lobe epilepsy causes a progressive shift in cortical excitation-inhibition balance, linked to cognitive impairments and seizure frequency.

This study investigates the variability of fMRI BOLD signals in the human brain, showing it reflects multi-scale brain organization rather than noise.

This study characterizes the anatomy of the human default mode network using histology and neuroimaging, revealing its cytoarchitectural diversity and unique signal flow properties.