Karla E. Hirokawa

The paper integrates transcriptomic, morphological, and electrophysiological data to define neuron types in mouse visual cortex and predict their projection targets.

The paper maps cell type densities in the mouse brain using single-cell imaging and computational analysis, revealing sex differences, shared signatures among brain regions, and associations between cell densities and anatomical functions.

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.

This paper fills gaps in cell-class specific connectivity data using a statistical model and kernel learning method, producing a mesoscale mouse brain connectivity matrix.

The paper maps brain-wide monosynaptic inputs to specific neuron classes in mouse visual cortex using an improved rabies virus tracing strategy and identifies connectivity patterns within and between visual areas.

The paper provides a detailed cellular-resolution map of the mouse primary motor cortex, defining cell types and their connectivity.

This study identifies the anatomical composition and connectivity patterns of the mouse default mode network at the regional, layer, and cell-class levels.

Complete morphologies of 1,708 neurons, sparsely labelled and imaged whole-brain with fMOST, expose region-specific long-range projection rules and finer diversity than current transcriptomic subtypes capture.

The paper identifies 27 transcriptomic cell types in mouse subiculum and prosubiculum, defines their anatomical boundaries, and reveals distinct neural circuits and projections along the dorsal-ventral axis.

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.

The paper identifies shared and distinct transcriptomic cell types in two mouse neocortical regions using scRNA-seq, showing most excitatory types are region-specific while inhibitory types are shared.

The paper uses whole brain imaging to compare amyloid beta deposition patterns in three Alzheimer's disease mouse models, revealing distinct spatial distributions across brain regions.

The paper introduces a new set of transgenic mouse lines for precise targeting and manipulation of brain cell types, enhancing genetic tools for neuroscience research.