Yun Wang

This study maps the cell-type-specific afferent and efferent projections of the mouse claustrum using viral tracing and single-neuron reconstruction, revealing its widespread connections and regional specificity.

The paper shows motion/direction-sensitive thalamic neurons project more to middle layers of V1 than previously thought, challenging existing views on thalamocortical organization.

This study assesses intra-session test-retest reliability of functional connectivity in infants, finding poor edge-level reliability but moderate-to-good subject-level reliability for major networks.

This paper introduces a transfer-learning approach using CNNs to segment infant brain structures, showing improved performance on newborns and 6-month-olds, especially in preterm infants.

The paper expands the Allen Mouse Brain Connectivity Atlas by analyzing intracortical connections at the layer and cell class level, revealing modular organization and distinct projection patterns.

This paper uses multimodal MRI and machine learning to classify Alzheimer's disease and mild cognitive impairment, showing high accuracy in diagnosis and progression prediction.

This paper uses machine learning on brain morphometry and connectomes from MRI to predict Alzheimer's disease risk and progression, achieving high accuracy in both single-site and multi-site datasets.