Macroscopic gradients of synaptic excitation and inhibition in the neocortex

• Published in: Nature reviews. Neuroscience Vol. 21; no. 3; pp. 169 - 178
• Main Author: Wang, Xiao-Jing
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.03.2020; Nature Publishing Group
• Subjects: 631/378/116/1925; 631/378/116/2393; 631/378/1595/1636; 631/378/1697; 631/378/3920; Animal Genetics and Genomics; Animals; Artificial intelligence; Behavioral Sciences; Biological Techniques; Biomedical and Life Sciences; Biomedicine; Cerebral cortex; Connectome; Cortical Excitability - physiology; Developmental plasticity; Dynamical systems; Excitation (Physiology); Functional plasticity; Gene expression; Humans; Inhibition (Neurophysiology); Mental disorders; Mental Disorders - physiopathology; Models, Neurological; Neocortex; Neocortex - physiology; Nervous system; Neural Inhibition - physiology; Neural networks; Neural Pathways - physiology; Neurobiology; Neurons; Neurons - physiology; Neuroplasticity; Neurosciences; Observations; Perspective; Physiological aspects; Synapses; Synapses - physiology; Transcriptomes; United States
• ISSN: 1471-003X; 1471-0048; 1471-0048; 1469-3178
• DOI: 10.1038/s41583-020-0262-x

With advances in connectomics, transcriptome and neurophysiological technologies, the neuroscience of brain-wide neural circuits is poised to take off. A major challenge is to understand how a vast diversity of functions is subserved by parcellated areas of mammalian neocortex composed of repetitions of a canonical local circuit. Areas of the cerebral cortex differ from each other not only in their input–output patterns but also in their biological properties. Recent experimental and theoretical work has revealed that such variations are not random heterogeneities; rather, synaptic excitation and inhibition display systematic macroscopic gradients across the entire cortex, and they are abnormal in mental illness. Quantitative differences along these gradients can lead to qualitatively novel behaviours in non-linear neural dynamical systems, by virtue of a phenomenon mathematically described as bifurcation. The combination of macroscopic gradients and bifurcations, in tandem with biological evolution, development and plasticity, provides a generative mechanism for functional diversity among cortical areas, as a general principle of large-scale cortical organization. Certain biological properties vary across different areas of the cerebral cortex. In this Perspective, Xiao-Jing Wang proposes that macroscopic gradients in some properties align with functional hierarchy and can lead to qualitative differences in function.