Literature DB >> 22644236

Isolating early cortical generators of visual-evoked activity: a systems identification approach.

Jeremy W Murphy1, Simon P Kelly, John J Foxe, Edmund C Lalor.   

Abstract

The VESPA (visual-evoked spread spectrum analysis) method estimates the impulse response of the visual system using a continuously varying stimulus. It has been used recently to address both basic cognitive and neurophysiologic questions as well as those surrounding clinical populations. Although the components of the average VESPA response are highly reminiscent of the early components of the visual-evoked potential (VEP) when measured over midline occipital locations, the two responses are acquired in different ways and, thus, they cannot be regarded as being equivalent. To further characterize the relationship between the VESPA and the VEP and the generative mechanisms underlying them, we recorded EEG from 31 subjects in response to checkerboard-based VEP and VESPA stimuli. We found that, across subjects, the amplitudes of the VEP C1 component and the VESPA C1 component were highly correlated, whereas the VEP P1 and the VESPA P1 bore no statistical relationship. Furthermore, we found that C1 and P1 amplitudes were significantly correlated in the VESPA but not in the VEP. We believe these findings point to the presence of common generators underlying the VESPA C1 and the VEP C1. We argue further that the VESPA P1, in light of its strong relationship to the VESPA C1, likely reflects further activation of the same cortical generators. Given the lack of correlation between the VEP P1 and each of these three other components, it is likely that the underlying generators of this particular component are more varied and widespread, as suggested previously. We discuss the implications of these relationships for basic and clinical research using the VESPA and for the assessment of additive-evoked versus phase-reset contributions to the VEP.

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Year:  2012        PMID: 22644236     DOI: 10.1007/s00221-012-3129-1

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  56 in total

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Journal:  Neuroimage       Date:  2010-05-20       Impact factor: 6.556

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Journal:  Brain       Date:  2006-09-19       Impact factor: 13.501

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Authors:  John J Foxe; E Cathrine Strugstad; Pejman Sehatpour; Sophie Molholm; Wren Pasieka; Charles E Schroeder; Mark E McCourt
Journal:  Brain Topogr       Date:  2008-09-11       Impact factor: 3.020

10.  Spatial attention modulates initial afferent activity in human primary visual cortex.

Authors:  Simon P Kelly; Manuel Gomez-Ramirez; John J Foxe
Journal:  Cereb Cortex       Date:  2008-03-04       Impact factor: 5.357

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  6 in total

1.  Visual sensory processing deficits in schizophrenia: is there anything to the magnocellular account?

Authors:  Edmund C Lalor; Pierfilippo De Sanctis; Menahem I Krakowski; John J Foxe
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2.  Generation of the VESPA response to rapid contrast fluctuations is dominated by striate cortex: evidence from retinotopic mapping.

Authors:  E C Lalor; S P Kelly; J J Foxe
Journal:  Neuroscience       Date:  2012-06-07       Impact factor: 3.590

3.  Atypical cortical representation of peripheral visual space in children with an autism spectrum disorder.

Authors:  Hans-Peter Frey; Sophie Molholm; Edmund C Lalor; Natalie N Russo; John J Foxe
Journal:  Eur J Neurosci       Date:  2013-05-22       Impact factor: 3.386

4.  Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis.

Authors:  Hanni S M Kiiski; Sinéad Ní Riada; Edmund C Lalor; Nuno R Gonçalves; Hugh Nolan; Robert Whelan; Róisín Lonergan; Siobhán Kelly; Marie Claire O'Brien; Katie Kinsella; Jessica Bramham; Teresa Burke; Seán Ó Donnchadha; Michael Hutchinson; Niall Tubridy; Richard B Reilly
Journal:  PLoS One       Date:  2016-01-04       Impact factor: 3.240

5.  Timing of repetition suppression of event-related potentials to unattended objects.

Authors:  Gabor Stefanics; Jakob Heinzle; István Czigler; Elia Valentini; Klaas E Stephan
Journal:  Eur J Neurosci       Date:  2018-08-10       Impact factor: 3.386

6.  The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli.

Authors:  Michael J Crosse; Giovanni M Di Liberto; Adam Bednar; Edmund C Lalor
Journal:  Front Hum Neurosci       Date:  2016-11-30       Impact factor: 3.169

  6 in total

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