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Somatostatin and the Cerebral Cortex

Name: Somatostatin and the Cerebral Cortex
Creator: Richard J. Robbins
Keywords: 0301 basic medicine, Cerebral Cortex, 0303 health sciences, Neurotransmitter Agents, Ionophores, Nerve Tissue Proteins, Membrane Potentials, 3. Good health, 03 medical and health sciences, Glucose

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 1985Publisher:Springer US

Authors: Richard J. Robbins;

doi: 10.1007/978-1-4615-7886-4_12

pmid: 2863932

Somatostatin and the Cerebral Cortex

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Abstract

A unique subset of interneurons which are rich in immunoreactive somatostatin (IRS) exists in the cerebral cortex. The regulation of IRS secretion by these cells is reviewed. Acetylcholine, glutamic acid and several neuropeptides including VIP, CCK, and metenkephalin have been identified as IRS secretagogues. The types of molecules which stimulate IRS release, the electrophysiologic effects of somatostatin, and the recognition of abnormal IRS levels in human CNS diseases were all used to formulate a working model of the role of the somatostatinergic cell in ongoing cerebral cortical function.

Related Organizations

University of Colorado Anschutz Medical Campus
United States
University of Colorado Cancer Center
United States

Keywords

Cerebral Cortex, Neurotransmitter Agents, Ionophores, Nerve Tissue Proteins, Membrane Potentials, Glucose, Interneurons, Animals, Humans, Amino Acids, Nervous System Diseases, Secretory Rate, Somatostatin, Cells, Cultured

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%