Literature DB >> 21917816

Functional networks of parvalbumin-immunoreactive neurons in cat auditory cortex.

Kexin Yuan1, Jonathan Y Shih, Jeffery A Winer, Christoph E Schreiner.   

Abstract

Inhibitory interneurons constitute ∼20% of auditory cortical cells and are essential for shaping sensory processing. Connectivity patterns of interneurons in relation to functional organization principles are not well understood. We contrasted the connection patterns of parvalbumin-immunoreactive cells in two functionally distinct cortical regions: the tonotopic, narrowly frequency-tuned module [central narrow band (cNB)] of cat central primary auditory cortex (AI) and the nontonotopic, broadly tuned second auditory field (AII). Interneuronal connectivity patterns and laminar distribution were identified by combining a retrograde tracer (wheat-germ agglutinin apo-horseradish peroxidase colloidal gold) with labeling of the Ca(2+) binding protein parvalbumin (Pv), a marker for the GABAergic interneurons usually described physiologically as fast-spiking neurons. In AI, parvalbumin-positive (Pv+) cells constituted 13% of the retrograde labeled cells in the immediate vicinity of the injection site, compared to 10% in AII. The retrograde labeling of Pv+ cells along isofrequency countours was confined to the cNB. The spatial spread of labeled excitatory neurons in AI was more than twice that found for Pv+ cells. By contrast, in the AII, the spread of Pv+ cells was nearly equal to that of excitatory neurons. The retrograde labeling of Pv+ cells was anisotropic in AI and isotropic in AII. This demonstration of inhibitory networks in auditory cortex reveals that the connections of cat GABAergic AI and AII cells follow different anatomical plans and thus contribute differently to the shaping of neural response properties. The finding that local connectivity of parvalbumin-immunoreactive neurons in AI is closely aligned with spectral integration properties demonstrates the critical role of inhibition in creating distinct processing modules in AI.

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Year:  2011        PMID: 21917816      PMCID: PMC3181135          DOI: 10.1523/JNEUROSCI.1000-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  60 in total

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