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Advances in quantitative phase and polarized light microscopy, combined with deep learning, reveal the architecture of human brain tissue.

The Brain Extraction Network (BEN) provides a robust, accurate, and generalizable solution not only for extracting brain tissue from multimodal MRI data in rodents, non-human primates, and humans, but also for improving the accuracy of downstream neuroimaging processing tasks.

When genes and environment are controlled, mice still develop stable differences in behavior, which are associated with large-scale differences in brain structure and connectivity.

Neuroimaging proves to be a powerful tool for capturing spatial and temporal dynamics across the whole nonhuman primate brain, bridging the gap between human and animal models.

In situ X-ray imaging of biological tissue samples in staining solution while they are being processed for electron microscopy reveals novel insights into the diffusion-reaction kinetics, tissue mechanics, and staining quality.

Regulatory success operates by goal-consistent increases and decreases of distinct attribute representations in generic neural hubs and in domain-specific brain regions, explaining when and why regulatory success generalizes across domains and contexts.

The activation of defence brain circuits drives decisions to help conspecifics under threat.

Behavioral and in vivo imaging analysis in the fly suggests that mating-related sensory experience regulates female odor perception and expression of choice behavior through a dopamine-gated learning circuit.

Whole-brain quantitative input-output circuits of glutamatergic and GABAergic neurons in the mouse dorsal and median raphe nuclei were mapped using viral tracing and high-resolution optical imaging.

Functional UltraSound imaging allows mapping tonotopic organisation in multiple auditory subcortical and cortical brain structures with an unprecedented spatial functional resolution, while giving access to long-distance top-down connectivity pattern from frontal cortex to auditory cortex.