Literature DB >> 28680907

Visual stimulation quenches global alpha range activity in awake primate V4: a case study.

Thomas Deneux1,2, Timothée Masquelier3,4, Maria A Bermudez1, Guillaume S Masson1, Gustavo Deco3, Ivo Vanzetta1.   

Abstract

Increasing evidence suggests that sensory stimulation not only changes the level of cortical activity with respect to baseline but also its structure. Despite having been reported in a multitude of conditions and preparations (for instance, as a quenching of intertrial variability, Churchland et al., 2010), such changes remain relatively poorly characterized. Here, we used optical imaging of voltage-sensitive dyes to explore, in V4 of an awake macaque, the spatiotemporal characteristics of both visually evoked and spontaneously ongoing neuronal activity and their difference. With respect to the spontaneous case, we detected a reduction in large-scale activity ([Formula: see text]) in the alpha range (5 to 12.5 Hz) during sensory inflow accompanied by a decrease in pairwise correlations. Moreover, the spatial patterns of correlation obtained during the different visual stimuli were on the average more similar one to another than they were to that obtained in the absence of stimulation. Finally, these observed changes in activity dynamics approached saturation already at very low stimulus contrasts, unlike the progressive, near-linear increase of the mean raw evoked responses over a wide range of contrast values, which could indicate a specific switching in the presence of a sensory inflow.

Keywords:  V4; awake monkey; correlation; ongoing activity; optical imaging; voltage-sensitive dyes

Year:  2017        PMID: 28680907      PMCID: PMC5488336          DOI: 10.1117/1.NPh.4.3.031222

Source DB:  PubMed          Journal:  Neurophotonics        ISSN: 2329-423X            Impact factor:   3.593


  36 in total

1.  Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex.

Authors:  J Anderson; I Lampl; I Reichova; M Carandini; D Ferster
Journal:  Nat Neurosci       Date:  2000-06       Impact factor: 24.884

2.  Imaging cortical dynamics at high spatial and temporal resolution with novel blue voltage-sensitive dyes.

Authors:  D Shoham; D E Glaser; A Arieli; T Kenet; C Wijnbergen; Y Toledo; R Hildesheim; A Grinvald
Journal:  Neuron       Date:  1999-12       Impact factor: 17.173

3.  Small modulation of ongoing cortical dynamics by sensory input during natural vision.

Authors:  József Fiser; Chiayu Chiu; Michael Weliky
Journal:  Nature       Date:  2004-09-30       Impact factor: 49.962

4.  Barrages of synaptic activity control the gain and sensitivity of cortical neurons.

Authors:  Yousheng Shu; Andrea Hasenstaub; Mathilde Badoual; Thierry Bal; David A McCormick
Journal:  J Neurosci       Date:  2003-11-12       Impact factor: 6.167

5.  A biophysical cortical column model to study the multi-component origin of the VSDI signal.

Authors:  S Chemla; F Chavane
Journal:  Neuroimage       Date:  2010-06-17       Impact factor: 6.556

6.  Suppression of cortical neural variability is stimulus- and state-dependent.

Authors:  Benjamin White; L F Abbott; József Fiser
Journal:  J Neurophysiol       Date:  2012-08-15       Impact factor: 2.714

7.  Milliseconds of Sensory Input Abruptly Modulate the Dynamics of Cortical States for Seconds.

Authors:  Thomas Deneux; Amiram Grinvald
Journal:  Cereb Cortex       Date:  2017-09-01       Impact factor: 5.357

8.  Coherent spatiotemporal patterns of ongoing activity revealed by real-time optical imaging coupled with single-unit recording in the cat visual cortex.

Authors:  A Arieli; D Shoham; R Hildesheim; A Grinvald
Journal:  J Neurophysiol       Date:  1995-05       Impact factor: 2.714

9.  Spontaneous and task-evoked brain activity negatively interact.

Authors:  Biyu J He
Journal:  J Neurosci       Date:  2013-03-13       Impact factor: 6.167

10.  Spatial and temporal scales of neuronal correlation in primary visual cortex.

Authors:  Matthew A Smith; Adam Kohn
Journal:  J Neurosci       Date:  2008-11-26       Impact factor: 6.167

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