Daniel Carey

The paper integrates multimodal data to characterize human neocortical glutamatergic neurons, revealing morphoelectric properties that distinguish transcriptomic subclasses and highlight species-specific differences.

The paper constructs a high-resolution transcriptomic and epigenomic atlas of the developing mouse visual cortex, revealing continuous cell type diversification across embryonic and postnatal stages.

This paper creates a high-resolution transcriptomic and spatial cell type atlas of the whole adult mouse brain, revealing spatial organization and transcription factor codes for cell types.

The paper identifies cell-type-specific molecular signatures of aging in a brain-wide transcriptomic atlas of mice, revealing key changes in non-neuronal cells and specific regions like the hypothalamic third ventricle.

The paper develops and validates a measure of cognitive reserve using task-based fMRI data and applies it to resting-state data, finding theoretical validity in some contexts but not others.

The paper presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

The paper examines the relationship between brain-predicted age difference scores and cognitive functions using multi-site MRI data, finding significant negative correlations in several cognitive domains.

The paper uses quantitative MRI to map microstructural differences in young adult cortex, finding age-related increases in myelin markers and regional variations in tissue composition.