Literature DB >> 28559382

Axonal Conduction Delays, Brain State, and Corticogeniculate Communication.

Carl R Stoelzel1, Yulia Bereshpolova1, Jose-Manuel Alonso1,2, Harvey A Swadlow3,2.   

Abstract

Thalamocortical conduction times are short, but layer 6 corticothalamic axons display an enormous range of conduction times, some exceeding 40-50 ms. Here, we investigate (1) how axonal conduction times of corticogeniculate (CG) neurons are related to the visual information conveyed to the thalamus, and (2) how alert versus nonalert awake brain states affect visual processing across the spectrum of CG conduction times. In awake female Dutch-Belted rabbits, we found 58% of CG neurons to be visually responsive, and 42% to be unresponsive. All responsive CG neurons had simple, orientation-selective receptive fields, and generated sustained responses to stationary stimuli. CG axonal conduction times were strongly related to modulated firing rates (F1 values) generated by drifting grating stimuli, and their associated interspike interval distributions, suggesting a continuum of visual responsiveness spanning the spectrum of axonal conduction times. CG conduction times were also significantly related to visual response latency, contrast sensitivity (C-50 values), directional selectivity, and optimal stimulus velocity. Increasing alertness did not cause visually unresponsive CG neurons to become responsive and did not change the response linearity (F1/F0 ratios) of visually responsive CG neurons. However, for visually responsive CG neurons, increased alertness nearly doubled the modulated response amplitude to optimal visual stimulation (F1 values), significantly shortened response latency, and dramatically increased response reliability. These effects of alertness were uniform across the broad spectrum of CG axonal conduction times.SIGNIFICANCE STATEMENT Corticothalamic neurons of layer 6 send a dense feedback projection to thalamic nuclei that provide input to sensory neocortex. While sensory information reaches the cortex after brief thalamocortical axonal delays, corticothalamic axons can exhibit conduction delays of <2 ms to 40-50 ms. Here, in the corticogeniculate visual system of awake rabbits, we investigate the functional significance of this axonal diversity, and the effects of shifting alert/nonalert brain states on corticogeniculate processing. We show that axonal conduction times are strongly related to multiple visual response properties, suggesting a continuum of visual responsiveness spanning the spectrum of corticogeniculate axonal conduction times. We also show that transitions between awake brain states powerfully affect corticogeniculate processing, in some ways more strongly than in layer 4.
Copyright © 2017 the authors 0270-6474/17/376342-17$15.00/0.

Entities:  

Keywords:  alert brain state; corticothalamic; lateral geniculate nucleus; layer 6; neocortical axons; visual cortex

Mesh:

Year:  2017        PMID: 28559382      PMCID: PMC5490068          DOI: 10.1523/JNEUROSCI.0444-17.2017

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


  63 in total

1.  The sublaminar organization of corticogeniculate neurons in layer 6 of macaque striate cortex.

Authors:  D Fitzpatrick; W M Usrey; B R Schofield; G Einstein
Journal:  Vis Neurosci       Date:  1994 Mar-Apr       Impact factor: 3.241

2.  Strength and orientation tuning of the thalamic input to simple cells revealed by electrically evoked cortical suppression.

Authors:  S Chung; D Ferster
Journal:  Neuron       Date:  1998-06       Impact factor: 17.173

3.  Neocortical efferent neurons with very slowly conducting axons: strategies for reliable antidromic identification.

Authors:  H A Swadlow
Journal:  J Neurosci Methods       Date:  1998-02-20       Impact factor: 2.390

4.  Laminar differences in receptive field properties of cells in cat primary visual cortex.

Authors:  C D Gilbert
Journal:  J Physiol       Date:  1977-06       Impact factor: 5.182

5.  Sustained and transient neurones in the cat's retina and lateral geniculate nucleus.

Authors:  B G Cleland; M W Dubin; W R Levick
Journal:  J Physiol       Date:  1971-09       Impact factor: 5.182

6.  A physiological analysis of subcortical and commissural projections of areas 17 and 18 of the cat.

Authors:  A R Harvey
Journal:  J Physiol       Date:  1980-05       Impact factor: 5.182

7.  Efferent systems of the rabbit visual cortex: laminar distribution of the cells of origin, axonal conduction velocities, and identification of axonal branches.

Authors:  H A Swadlow; T G Weyand
Journal:  J Comp Neurol       Date:  1981-12-20       Impact factor: 3.215

Review 8.  Waking State: Rapid Variations Modulate Neural and Behavioral Responses.

Authors:  Matthew J McGinley; Martin Vinck; Jacob Reimer; Renata Batista-Brito; Edward Zagha; Cathryn R Cadwell; Andreas S Tolias; Jessica A Cardin; David A McCormick
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9.  Morphological Substrates for Parallel Streams of Corticogeniculate Feedback Originating in Both V1 and V2 of the Macaque Monkey.

Authors:  Farran Briggs; Caitlin W Kiley; Edward M Callaway; W Martin Usrey
Journal:  Neuron       Date:  2016-03-31       Impact factor: 17.173

10.  The potential importance of saturating and supersaturating contrast response functions in visual cortex.

Authors:  Jonathan W Peirce
Journal:  J Vis       Date:  2007-04-30       Impact factor: 2.240

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  15 in total

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4.  Activation of a Visual Cortical Column by a Directionally Selective Thalamocortical Neuron.

Authors:  Yulia Bereshpolova; Carl R Stoelzel; Chuyi Su; Jose-Manuel Alonso; Harvey A Swadlow
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Review 9.  Untangling the cortico-thalamo-cortical loop: cellular pieces of a knotty circuit puzzle.

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10.  Firing-rate based network modeling of the dLGN circuit: Effects of cortical feedback on spatiotemporal response properties of relay cells.

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