Literature DB >> 12948659

Interneuron Diversity series: Interneuron research--challenges and strategies.

David D Mott1, Raymond Dingledine.   

Abstract

The field of interneuron research has come of age. An influx of new data has shed light on many areas, but has also highlighted major challenges. The articles in this review series will address several of these challenges, including developing a standardized classification scheme, defining how the integrative properties of interneurons shape their functional roles (including the generation of oscillatory activity), and identifying molecular mechanisms of synaptic plasticity. New technologies can help us address these problems in ways not previously possible. To coordinate the vast amount of data being generated, we propose the creation of a world-wide-web Interneuron Database that will facilitate inter-laboratory comparisons and collaborative studies. A well-crafted database has the potential to bring new insight by standardizing and organizing data collected in physiological, anatomical and molecular studies.

Mesh:

Year:  2003        PMID: 12948659     DOI: 10.1016/S0166-2236(03)00200-5

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  14 in total

1.  Distinctive classes of GABAergic interneurons provide layer-specific phasic inhibition in the anterior piriform cortex.

Authors:  Norimitsu Suzuki; John M Bekkers
Journal:  Cereb Cortex       Date:  2010-05-10       Impact factor: 5.357

2.  EphA4 defines a class of excitatory locomotor-related interneurons.

Authors:  Simon J B Butt; Line Lundfald; Ole Kiehn
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-19       Impact factor: 11.205

Review 3.  The neuron classification problem.

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

4.  Theta phase classification of interneurons in the hippocampal formation of freely moving rats.

Authors:  András Czurkó; John Huxter; Yu Li; Balázs Hangya; Robert U Muller
Journal:  J Neurosci       Date:  2011-02-23       Impact factor: 6.167

5.  Cell-type-based model explaining coexpression patterns of genes in the brain.

Authors:  Pascal Grange; Jason W Bohland; Benjamin W Okaty; Ken Sugino; Hemant Bokil; Sacha B Nelson; Lydia Ng; Michael Hawrylycz; Partha P Mitra
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-25       Impact factor: 11.205

Review 6.  Toward functional classification of neuronal types.

Authors:  Tatyana O Sharpee
Journal:  Neuron       Date:  2014-09-17       Impact factor: 17.173

7.  Glutamatergic or GABAergic neuron-specific, long-term expression in neocortical neurons from helper virus-free HSV-1 vectors containing the phosphate-activated glutaminase, vesicular glutamate transporter-1, or glutamic acid decarboxylase promoter.

Authors:  Morten Rasmussen; Lingxin Kong; Guo-rong Zhang; Meng Liu; Xiaodan Wang; Gabor Szabo; Norman P Curthoys; Alfred I Geller
Journal:  Brain Res       Date:  2007-02-04       Impact factor: 3.252

8.  Long-term potentiation of excitatory synapses on neocortical somatostatin-expressing interneurons.

Authors:  Huan-Xin Chen; Mali Jiang; Dilek Akakin; Steven N Roper
Journal:  J Neurophysiol       Date:  2009-09-23       Impact factor: 2.714

9.  Quantitative classification of somatostatin-positive neocortical interneurons identifies three interneuron subtypes.

Authors:  Laura M McGarry; Adam M Packer; Elodie Fino; Volodymyr Nikolenko; Tanya Sippy; Rafael Yuste
Journal:  Front Neural Circuits       Date:  2010-05-14       Impact factor: 3.492

Review 10.  How inhibition shapes cortical activity.

Authors:  Jeffry S Isaacson; Massimo Scanziani
Journal:  Neuron       Date:  2011-10-20       Impact factor: 17.173

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