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A novel machine learning approach improves quantitative comparisons of mouse and human brains using spatial transcriptomics data sets.

Asymmetries between the shape of the left and right human cortex are highly unique to individuals, akin to a neuroanatomical fingerprint, related to cognitive function, and primarily driven by person-specific environmental influences.

A comprehensive meta-analysis of the neuroimaging literature reveals that the lateral prefrontal cortex of humans is mainly organized along its rostrocaudal axis according to a unimodal-to-transmodal pattern of network connectivity and a concrete-to-abstract axis of functional associations.

A web-based analysis platform for public fMRI data using naturalistic stimuli, leveraging state-of-the-art feature extraction models to enable more generalizable and reproducible findings.

Increased usability and validity of neuroscience models, through FAIR workflows for the whole modeling process, including data and model management, parameter estimation, uncertainty quantification, and model analysis.

In paediatric concussions, there are a multiplicity of ways that brain damage gives rise to symptoms, most of which are missed by conventional statistical approaches and study designs.

The Digital Brain Bank (open.win.ox.ac.uk/DigitalBrainBank) provides curated post-mortem imaging datasets for neuroanatomy, neuropathology, and comparative neuroanatomy investigations, with the first release containing 21 distinctive whole-brain diffusion MRI datasets, alongside microscopy and complementary MRI modalities.

Synaptic resolution analysis of a full olfactory connectome reveals lateralised circuits, convergence of innate and learned pathways, and shows that homologous neurons are highly stereotyped within and across brains.

White matter microstructure alterations in key bundles affected in Alzheimer's disease are related to amyloid and tau pathology in the preclinical phase of sporadic and autosomal-dominant Alzheimer's disease.