Literature DB >> 14995897

A principal component analysis of multifocal pattern reversal VEP.

Xian Zhang1, Donald C Hood.   

Abstract

Multifocal visual evoked potentials (mfVEP) were recorded with three channels from 31 control subjects. A principal component analysis was applied to all local responses. The first principal component reversed polarity above and below the horizontal meridian in the case of the midline channel and across the vertical meridian in the case of the lateral channel. In addition, the first principal components of the responses around the vertical meridian were reversed in polarity compared to those around the horizontal meridian, consistent with the region near the vertical meridian lying outside the calcarine fissure. A model was proposed that allowed for the construction of a coronal section of V1 based on the distribution of the first principal component. This approach provides a means of deriving a V1 component from mfVEP recordings with only three recording channels.

Mesh:

Year:  2004        PMID: 14995897     DOI: 10.1167/4.1.4

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  21 in total

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

Authors:  Jeremy W Murphy; Simon P Kelly; John J Foxe; Edmund C Lalor
Journal:  Exp Brain Res       Date:  2012-05-29       Impact factor: 1.972

2.  From evoked potentials to cortical currents: Resolving V1 and V2 components using retinotopy constrained source estimation without fMRI.

Authors:  Samuel A Inverso; Xin-Lin Goh; Linda Henriksson; Simo Vanni; Andrew C James
Journal:  Hum Brain Mapp       Date:  2016-02-12       Impact factor: 5.038

3.  Determining abnormal latencies of multifocal visual evoked potentials: a monocular analysis.

Authors:  Donald C Hood; Nitin Ohri; E Bo Yang; Christopher Rodarte; Xian Zhang; Brad Fortune; Chris A Johnson
Journal:  Doc Ophthalmol       Date:  2004-09       Impact factor: 2.379

4.  The effects of glaucoma on the latency of the multifocal visual evoked potential.

Authors:  S L Graham
Journal:  Br J Ophthalmol       Date:  2006-09       Impact factor: 4.638

5.  Methods for quantifying intra- and inter-subject variability of evoked potential data applied to the multifocal visual evoked potential.

Authors:  Sangita Dandekar; Justin Ales; Thom Carney; Stanley A Klein
Journal:  J Neurosci Methods       Date:  2007-06-19       Impact factor: 2.390

6.  Intertest variability of mfVEP amplitude: reducing its effect on the interpretation of sequential tests.

Authors:  A Klistorner; S L Graham
Journal:  Doc Ophthalmol       Date:  2006-03-06       Impact factor: 2.379

7.  A multiplicative model for spatial interaction in the human visual cortex.

Authors:  Xian Zhang; Jason C Park; Jennifer Salant; Sonya Thomas; Joy Hirsch; Donald C Hood
Journal:  J Vis       Date:  2008-06-03       Impact factor: 2.240

8.  Interpreting the multifocal visual evoked potential: the effects of refractive errors, cataracts, and fixation errors.

Authors:  B J Winn; E Shin; J G Odel; V C Greenstein; D C Hood
Journal:  Br J Ophthalmol       Date:  2005-03       Impact factor: 4.638

9.  Comparison of contrast-response functions from multifocal visual-evoked potentials (mfVEPs) and functional MRI responses.

Authors:  Jason C Park; Xian Zhang; John Ferrera; Joy Hirsch; Donald C Hood
Journal:  J Vis       Date:  2008-10-22       Impact factor: 2.240

10.  The folding fingerprint of visual cortex reveals the timing of human V1 and V2.

Authors:  Justin Ales; Thom Carney; Stanley A Klein
Journal:  Neuroimage       Date:  2009-09-22       Impact factor: 6.556

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