Julie A. Harris

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.

The paper uses whole-brain imaging to show that tau pathology in mice propagates retrogradely through brain networks.

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 investigates circuit-specific vulnerability in the default mode network (DMN) in Alzheimer's disease, finding that dysfunction is restricted to in-DMN projecting circuits despite widespread amyloid burden.

The paper quantifies whole-brain XCI at single-cell resolution and finds a 60:40 paternal-to-maternal inactivation ratio that reduces disease penetrance in Fragile-X models.

The paper generates a multimodal cell census and atlas of the mammalian primary motor cortex, revealing a unified molecular genetic landscape and cross-species taxonomy of cell types.

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

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

This paper characterizes microglial metabolic changes in an APP knock-in mouse model of AD, finding lipid dysregulation and immunometabolic perturbations linked to fibrillar Aβ.

This paper provides a voxel-level description of the directed mouse connectome, revealing hierarchical structure and functional organization.

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 develops genetic tools to dissect glutamatergic neuron subpopulations and their developmental trajectories in the cerebral cortex.

This paper uses a deep generative model to analyze brain structure variability across mouse brains and validates the model through structured perturbations.

The paper demonstrates that individual structural connectomes predict functional brain organization in mice, with asymmetry and link weights being key predictors.

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 classifies neurons in mouse visual cortex into 17 electrophysiological and 35 morphological types using unsupervised methods and links them to transcriptomic types.

The paper maps the connectivity of VMHvlEsr1 neurons in mice, revealing distinct subpopulations with different collateralization patterns but similar inputs, suggesting a unique circuit architecture for social behavior control.

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 constructs a high-resolution voxel-scale model of the mouse connectome using anterograde tracing data, outperforming previous regional models.

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.