Neuroanatomically precise, genome-wide maps of transcript distributions are critical resources to complement genomic sequence data and to correlate functional and genetic brain architecture. Here we describe the generation and analysis of a transcriptional atlas of the adult human brain, comprising extensive histological analysis and comprehensive microarray profiling of ~900 neuroanatomically precise subdivisions in two individuals. Transcriptional regulation varies enormously by anatomical location, with different regions and their constituent cell types displaying robust molecular signatures that are highly conserved between individuals. Analysis of differential gene expression and gene co-expression relationships demonstrates that brain-wide variation strongly reflects the distributions of major cell classes such as neurons, oligodendrocytes, astrocytes and microglia. Local neighbourhood relationships between fine anatomical subdivisions are associated with discrete neuronal subtypes and genes involved with synaptic transmission. The neocortex displays a relatively homogeneous transcriptional pattern, but with distinct features associated selectively with primary sensorimotor cortices and with enriched frontal lobe expression. Notably, the spatial topography of the neocortex is strongly reflected in its molecular topography— the closer two cortical regions, the more similar their transcriptomes. This freely accessible online data resource forms a high-resolution transcriptional baseline for neurogenetic studies of normal and abnormal human brain function.

The structure and function of the human brain are highly stereotyped, implying a conserved molecular program responsible for its development, cellular structure, and function. We applied a correlation-based metric of “differential stability” (DS) to assess reproducibility of gene expression patterning across 132 structures in six individual brains, revealing meso-scale genetic organization. The highest DS genes are highly biologically relevant, with enrichment for brain-related biological annotations, disease associations, drug targets, and literature citations. Using high DS genes we identified 32 anatomically diverse and reproducible gene expression signatures, which represent distinct cell types, intracellular components, and/or associations with neurodevelopmental and neurodegenerative disorders. Genes in neuron-associated compared to non-neuronal networks showed higher preservation between human and mouse; however, many diversely-patterned genes displayed dramatic shifts in regulation between species. Finally, highly consistent transcriptional architecture in neocortex is correlated with resting state functional connectivity, suggesting a link between conserved gene expression and functionally relevant circuitry.

In this article the authors address how pathological anxiety may develop from adaptive fear states. Fear responses (e.g., freezing, startle, heart rate and blood pressure changes, and increased vigilance) are functionally adaptive behavioral and perceptual responses elicited during danger to facilitate appropriate defensive responses that can reduce danger or injury (e.g., escape and avoidance). Fear is a central motive state of action tendencies subserved by fear circuits, with the amygdala playing a central role. Pathological anxiety is conceptualized as an exaggerated fear state in which hyperexcitability of fear circuits that include the amygdala and extended amygdala (i.e., bed nucleus of the stria terminalis) is expressed as hypervigilance and increased behavioral responsivity to fearful stimuli. Reduced thresholds for activation and hyperexcitability in fear circuits develop through sensitization- or kindling-like processes that involve neuropeptides, hormones, and other proteins. Hyperexcitability in fear circuits is expressed as pathological anxiety that is manifested in the various anxiety disorders.

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