Literature DB >> 20147542

Cell type-specific control of neuronal responsiveness by gamma-band oscillatory inhibition.

Stephani Otte1, Andrea Hasenstaub, Edward M Callaway.   

Abstract

Neocortical networks are composed of diverse populations of cells that differ in their chemical content, electrophysiological characteristics, and connectivity. Gamma-frequency oscillatory activity of inhibitory subnetworks has been hypothesized to regulate information processing in the cortex as a whole. Inhibitory neurons in these subnetworks synchronize their firing and selectively innervate the perisomatic compartments of their target neurons, generating both tonic and rapidly fluctuating inhibition. How do different types of cortical neurons respond to changes in the level and structure of perisomatic inhibition? What accounts for response heterogeneity between cell types, and are these response properties fixed or flexible? To answer these questions, we use in vitro whole-cell recording and dynamic-clamp somatic current injection to study six distinct types of cortical neurons. We demonstrate that different types of neurons systematically vary in their receptiveness to fast changes in the structure of inhibition and the range over which changes in inhibitory tone affect their output. Using simple neuron models and model neuron hybrids (dynamic clamp), we determine which intrinsic differences between cell types lead to these variations in receptiveness. These results suggest important differences in the way cell types are affected by gamma-frequency inhibition, which may have important circuit level implications. Although intrinsic differences observed in vitro are useful for the elucidation of basic cellular properties and differences between cell types, we also investigate how the integrative properties of neurons are likely to be rapidly modulated in the context of active networks in vivo.

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Year:  2010        PMID: 20147542      PMCID: PMC2824444          DOI: 10.1523/JNEUROSCI.4818-09.2010

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


  71 in total

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Authors:  A Fisahn; F G Pike; E H Buhl; O Paulsen
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4.  Differences between somatic and dendritic inhibition in the hippocampus.

Authors:  R Miles; K Tóth; A I Gulyás; N Hájos; T F Freund
Journal:  Neuron       Date:  1996-04       Impact factor: 17.173

5.  Synchronized oscillations in interneuron networks driven by metabotropic glutamate receptor activation.

Authors:  M A Whittington; R D Traub; J G Jefferys
Journal:  Nature       Date:  1995-02-16       Impact factor: 49.962

6.  Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo.

Authors:  D Paré; E Shink; H Gaudreau; A Destexhe; E J Lang
Journal:  J Neurophysiol       Date:  1998-03       Impact factor: 2.714

7.  Neurochemical features and synaptic connections of large physiologically-identified GABAergic cells in the rat frontal cortex.

Authors:  Y Kawaguchi; Y Kubota
Journal:  Neuroscience       Date:  1998-08       Impact factor: 3.590

8.  The cholinergic inhibition of afterhyperpolarization in rat hippocampus is independent of cAMP-dependent protein kinase.

Authors:  R D Blitzer; T Wong; R Nouranifar; E M Landau
Journal:  Brain Res       Date:  1994-05-23       Impact factor: 3.252

9.  Modulation of the Ca2+-activated K+ current sIAHP by a phosphatase-kinase balance under basal conditions in rat CA1 pyramidal neurons.

Authors:  P Pedarzani; M Krause; T Haug; J F Storm; W Stühmer
Journal:  J Neurophysiol       Date:  1998-06       Impact factor: 2.714

10.  Input and frequency-specific entrainment of postsynaptic firing by IPSPs of perisomatic or dendritic origin.

Authors:  Gábor Tamás; János Szabadics; Andrea Lörincz; Peter Somogyi
Journal:  Eur J Neurosci       Date:  2004-11       Impact factor: 3.386

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  25 in total

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2.  Frequency-invariant temporal ordering of interneuronal discharges during hippocampal oscillations in awake mice.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-10       Impact factor: 11.205

3.  Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources.

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4.  Cell Type-Specific Control of Spike Timing by Gamma-Band Oscillatory Inhibition.

Authors:  Andrea Hasenstaub; Stephani Otte; Edward Callaway
Journal:  Cereb Cortex       Date:  2015-03-16       Impact factor: 5.357

5.  How Close Are We to Understanding What (if Anything) γ Oscillations Do in Cortical Circuits?

Authors:  Vikaas S Sohal
Journal:  J Neurosci       Date:  2016-10-12       Impact factor: 6.167

6.  Snapshots of the Brain in Action: Local Circuit Operations through the Lens of γ Oscillations.

Authors:  Jessica A Cardin
Journal:  J Neurosci       Date:  2016-10-12       Impact factor: 6.167

Review 7.  Dynamic circuit motifs underlying rhythmic gain control, gating and integration.

Authors:  Thilo Womelsdorf; Taufik A Valiante; Ned T Sahin; Kai J Miller; Paul Tiesinga
Journal:  Nat Neurosci       Date:  2014-07-28       Impact factor: 24.884

8.  Vigilance-Associated Gamma Oscillations Coordinate the Ensemble Activity of Basolateral Amygdala Neurons.

Authors:  Alon Amir; Drew B Headley; Seung-Chan Lee; Darrell Haufler; Denis Paré
Journal:  Neuron       Date:  2018-02-07       Impact factor: 17.173

9.  Amplitude modulation coding in awake mice and squirrel monkeys.

Authors:  Nerissa E G Hoglen; Phillip Larimer; Elizabeth A K Phillips; Brian J Malone; Andrea R Hasenstaub
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10.  Fear conditioning enhances γ oscillations and their entrainment of neurons representing the conditioned stimulus.

Authors:  Drew B Headley; Norman M Weinberger
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

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