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Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex.

ABSTRACT: Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of the features that distinguish one type of neuron from another. The problems inherent in this are particularly acute when studying cortical interneurons. To tackle this, we convened a representative group of researchers to agree on a set of terms to describe the anatomical, physiological and molecular features of GABAergic interneurons of the cerebral cortex. The resulting terminology might provide a stepping stone towards a future classification of these complex and heterogeneous cells. Consistent adoption will be important for the success of such an initiative, and we also encourage the active involvement of the broader scientific community in the dynamic evolution of this project.

SUBMITTER: Petilla Interneuron Nomenclature Group 

PROVIDER: S-EPMC2868386 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature

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Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex.

Ascoli Giorgio A GA   Alonso-Nanclares Lidia L   Anderson Stewart A SA   Barrionuevo German G   Benavides-Piccione Ruth R   Burkhalter Andreas A   Buzsáki György G   Cauli Bruno B   Defelipe Javier J   Fairén Alfonso A   Feldmeyer Dirk D   Fishell Gord G   Fregnac Yves Y   Freund Tamas F TF   Gardner Daniel D   Gardner Esther P EP   Goldberg Jesse H JH   Helmstaedter Moritz M   Hestrin Shaul S   Karube Fuyuki F   Kisvárday Zoltán F ZF   Lambolez Bertrand B   Lewis David A DA   Marin Oscar O   Markram Henry H   Muñoz Alberto A   Packer Adam A   Petersen Carl C H CC   Rockland Kathleen S KS   Rossier Jean J   Rudy Bernardo B   Somogyi Peter P   Staiger Jochen F JF   Tamas Gabor G   Thomson Alex M AM   Toledo-Rodriguez Maria M   Wang Yun Y   West David C DC   Yuste Rafael R  

Nature reviews. Neuroscience 20080701 7

Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of the features that distinguish one type of neuron from another. The problems inherent in this are particularly acute when studying cortical interneurons. To tackle this, we convened a representative group of researchers to agree on a set of term  ...[more]