Li Su

The paper develops population-specific white matter charts for Chinese and Western populations, showing differences in maturation timing and improved prediction accuracy when using population-matched models.

This study uses HD-DOT to analyze resting state functional connectivity in Alzheimer's Disease, Mild Cognitive Impairment, and healthy controls, finding denser networks and loss of hubs in dementia.

This study examines individual variability in human brain structural connectivity, finding higher variability in limbic regions and lower in sensorimotor areas, and proposes a model to predict cognition and generate individual brain maps.

The paper shows that midlife path integration impairments predict Alzheimer's disease risk, independent of other cognitive tests.

This study compares speech recognition representations in artificial neural networks and human brains, finding similarities and using brain data to improve machine models.

This study examines the relationship between microglial activation and white matter changes in dementia with Lewy bodies using PET and DTI imaging.

This study investigates how neuroinflammation interacts with functional brain connectivity in Alzheimer's disease and its impact on cognitive performance.

This paper compares dynamic brain states during speech comprehension with dynamic machine states in ASR systems, finding correspondence between neural patterns and phonetic models.