Literature DB >> 15102914

Synaptic responses to whisker deflections in rat barrel cortex as a function of cortical layer and stimulus intensity.

W Bryan Wilent1, Diego Contreras.   

Abstract

To study the synaptic and spike responses of barrel cortex neurons as a function of cortical layer and stimulus intensity, we recorded intracellularly in vivo from barbiturate anesthetized rats while increasing the velocity-acceleration of the whisker deflection. Granular (Gr; layer 4) cells had the EPSP with the shortest peak and onset latency, whereas supragranular (SGr; layers 2-3) cells had the EPSP with longest duration and slowest rate of rise. Infragranular (Igr; layers 5-6) cells had intermediate values, and thus each layer was unique. The spike response peak of Gr cells was followed by IGr and then by SGr cells. In all cells, depolarization reduced the duration and amplitude of the response, but only in Gr cells did it reveal an early IPSP that cut short the EPSP. This early IPSP was associated with a large decrease in input resistance and an apparent reversal potential below spike threshold; consequently, synaptic integration in Gr cells was limited to the initial 5-7 msec of the response. In contrast, in SGr and IGr cells, results suggest an overlap in time of the EPSP and IPSP, with a small drop in input resistance and an apparent reversal potential above spike threshold, facilitating input integration for up to 20 msec. Decreasing stimulus intensity (velocity-acceleration) reduced the amplitude and increased the peak latency of the response without altering its synaptic composition. We propose that layer 4 circuits are better suited to perform coincidence detection, whereas supra and infragranular circuits are better designed for input integration.

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Year:  2004        PMID: 15102914      PMCID: PMC6729426          DOI: 10.1523/JNEUROSCI.5782-03.2004

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


  64 in total

1.  Integration and propagation of somatosensory responses in the corticostriatal pathway: an intracellular study in vivo.

Authors:  Morgane Pidoux; Séverine Mahon; Jean-Michel Deniau; Stéphane Charpier
Journal:  J Physiol       Date:  2011-01-15       Impact factor: 5.182

2.  Response reliability observed with voltage-sensitive dye imaging of cortical layer 2/3: the probability of activation hypothesis.

Authors:  Clare A Gollnick; Daniel C Millard; Alexander D Ortiz; Ravi V Bellamkonda; Garrett B Stanley
Journal:  J Neurophysiol       Date:  2016-02-10       Impact factor: 2.714

3.  Stimulus-dependent changes in spike threshold enhance feature selectivity in rat barrel cortex neurons.

Authors:  W Bryan Wilent; Diego Contreras
Journal:  J Neurosci       Date:  2005-03-16       Impact factor: 6.167

4.  Balancing bilateral sensory activity: callosal processing modulates sensory transmission through the contralateral thalamus by altering the response threshold.

Authors:  Lu Li; Ford F Ebner
Journal:  Exp Brain Res       Date:  2006-01-21       Impact factor: 1.972

5.  Layer- and cell-type-specific suprathreshold stimulus representation in rat primary somatosensory cortex.

Authors:  C P J de Kock; R M Bruno; H Spors; B Sakmann
Journal:  J Physiol       Date:  2007-02-22       Impact factor: 5.182

6.  In vivo simultaneous tracing and Ca(2+) imaging of local neuronal circuits.

Authors:  Shin Nagayama; Shaoqun Zeng; Wenhui Xiong; Max L Fletcher; Arjun V Masurkar; Douglas J Davis; Vincent A Pieribone; Wei R Chen
Journal:  Neuron       Date:  2007-03-15       Impact factor: 17.173

7.  Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex.

Authors:  Christoph Kapfer; Lindsey L Glickfeld; Bassam V Atallah; Massimo Scanziani
Journal:  Nat Neurosci       Date:  2007-05-21       Impact factor: 24.884

8.  Postnatal development of synaptic transmission in local networks of L5A pyramidal neurons in rat somatosensory cortex.

Authors:  Andreas Frick; Dirk Feldmeyer; Bert Sakmann
Journal:  J Physiol       Date:  2007-10-04       Impact factor: 5.182

9.  Embodied information processing: vibrissa mechanics and texture features shape micromotions in actively sensing rats.

Authors:  Jason T Ritt; Mark L Andermann; Christopher I Moore
Journal:  Neuron       Date:  2008-02-28       Impact factor: 17.173

10.  Postsynaptic mechanisms govern the differential excitation of cortical neurons by thalamic inputs.

Authors:  Court Hull; Jeffry S Isaacson; Massimo Scanziani
Journal:  J Neurosci       Date:  2009-07-15       Impact factor: 6.167

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