Literature DB >> 16276357

Opinion: an integrated approach to classifying neuronal phenotypes.

Michele Migliore1, Gordon M Shepherd.   

Abstract

Characterizing the functional phenotypes of neurons is essential for understanding how genotypes can be related to the neural basis of behaviour. Traditional classifications of neurons by single features (such as morphology or firing behaviour) are increasingly inadequate for reflecting functional phenotypes, as they do not integrate functions across different neuronal types. Here, we describe a set of rules for identifying and predicting functional phenotypes that combine morphology, intrinsic ion channel species and their distributions in dendrites, and functional properties. This more comprehensive neuronal classification should be an improvement on traditional classifications for relating genotype to functional phenotype.

Mesh:

Year:  2005        PMID: 16276357     DOI: 10.1038/nrn1769

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  47 in total

1.  On the mechanisms underlying the depolarization block in the spiking dynamics of CA1 pyramidal neurons.

Authors:  Daniela Bianchi; Addolorata Marasco; Alessandro Limongiello; Cristina Marchetti; Helene Marie; Brunello Tirozzi; Michele Migliore
Journal:  J Comput Neurosci       Date:  2012-02-05       Impact factor: 1.621

2.  Properties and functional implications of I (h) in hippocampal area CA3 interneurons.

Authors:  Warren D Anderson; Emilio J Galván; Jocelyn C Mauna; Edda Thiels; Germán Barrionuevo
Journal:  Pflugers Arch       Date:  2011-09-21       Impact factor: 3.657

Review 3.  New neurons in the adult striatum: from rodents to humans.

Authors:  Dragos Inta; Heather A Cameron; Peter Gass
Journal:  Trends Neurosci       Date:  2015-08-20       Impact factor: 13.837

4.  Distinct subtypes of somatostatin-containing neocortical interneurons revealed in transgenic mice.

Authors:  Yunyong Ma; Hang Hu; Albert S Berrebi; Peter H Mathers; Ariel Agmon
Journal:  J Neurosci       Date:  2006-05-10       Impact factor: 6.167

5.  Influence of electrotonic structure and synaptic mapping on the receptive field properties of a collision-detecting neuron.

Authors:  Simon P Peron; Holger G Krapp; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2006-10-04       Impact factor: 2.714

6.  SenseLab: new developments in disseminating neuroscience information.

Authors:  Chiquito J Crasto; Luis N Marenco; Nian Liu; Thomas M Morse; Kei-Hoi Cheung; Peter C Lai; Gautam Bahl; Peter Masiar; Hugo Y K Lam; Ernest Lim; Huajin Chen; Prakash Nadkarni; Michele Migliore; Perry L Miller; Gordon M Shepherd
Journal:  Brief Bioinform       Date:  2007-05-17       Impact factor: 11.622

Review 7.  The neuron classification problem.

Authors:  Mihail Bota; Larry W Swanson
Journal:  Brain Res Rev       Date:  2007-05-26

8.  Postnatal development of dendritic synaptic integration in rat neocortical pyramidal neurons.

Authors:  Susan E Atkinson; Stephen R Williams
Journal:  J Neurophysiol       Date:  2009-05-20       Impact factor: 2.714

Review 9.  Single-cell analysis of diversity in human stem cell-derived neurons.

Authors:  Lise J Harbom; Nadine Michel; Michael J McConnell
Journal:  Cell Tissue Res       Date:  2017-11-29       Impact factor: 5.249

10.  Expression of mRNA for glutamate receptor subunits distinguishes the major classes of retinal neurons, but is less specific for individual cell types.

Authors:  Tatjana C Jakobs; Yixin Ben; Richard H Masland
Journal:  Mol Vis       Date:  2007-06-18       Impact factor: 2.367

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