Literature DB >> 18172098

Identifying human albinism: a comparison of VEP and fMRI.

Elisabeth A H von dem Hagen1, Michael B Hoffmann, Antony B Morland.   

Abstract

PURPOSE: To compare VEP and fMRI as a means of detecting the abnormal visual projections in albinism in different stimulation conditions.
METHODS: Cortical response to monocular full-field pattern-onset and hemifield pattern-onset and -reversal stimulation of 18 subjects with a known diagnosis of albinism, 17 control subjects, and 6 control subjects with infantile nystagmus syndrome (INS) was determined by VEP and fMRI. An asymmetry index was used to quantify the extent of response lateralization as measured by both VEP and fMRI. The extent to which each method and stimulus combination differentiated participant groups was summarized with a receiver operating characteristic (ROC) analysis, where A(A-C) and A(A-N) refer to areas under the ROC curve for albino versus control and albino versus nystagmus comparisons.
RESULTS: Cortical response to full-field monocular stimulation conditions offered robust detection of the abnormal response lateralization in albinism, with fMRI (A(A-C) = 1.00; A(A-N) = 0.91) being slightly more robust than the VEP under these conditions (A(A-C) = 0.91; A(A-N) = 0.79). Hemifield stimulation paradigms were somewhat poorer at differentiating between groups, particularly when VEP was used in combination with pattern-reversal stimulation (pattern-onset fMRI A(A-C) = 0.94, A(A-N) = 0.84, and VEP A(A-C) = 0.86, A(A-N) = 0.86; pattern-reversal fMRI A(A-C) = 0.90, A(A-N) = 0.88, and VEP A(A-C) = 0.69, A(A-N) = 0.64). However, when only the most posterior aspects of the occipital lobe were considered with hemifield stimulation, fMRI achieved the best differentiation between the subject groups, most notably with hemifield pattern-reversal stimulation (A(A-C) = 1.00; A(A-N) = 1.00).
CONCLUSIONS: An interocular comparison between the lateralization of cortical responses elicited by full-field stimulation reliably distinguished between those with albinism and control groups, when both fMRI and VEP were used to assess cortical responses. Hemifield stimulation of one eye offers an alternative method for assessing misrouting associated with albinism and is highly effective when cortical signals are assessed with fMRI, but less so when VEP is used.

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Mesh:

Year:  2008        PMID: 18172098     DOI: 10.1167/iovs.07-0458

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  13 in total

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Authors:  Melissa A Wilk; John T McAllister; Robert F Cooper; Adam M Dubis; Teresa N Patitucci; Phyllis Summerfelt; Jennifer L Anderson; Kimberly E Stepien; Deborah M Costakos; Thomas B Connor; William J Wirostko; Pei-Wen Chiang; Alfredo Dubra; Christine A Curcio; Murray H Brilliant; C Gail Summers; Joseph Carroll
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-05-20       Impact factor: 4.799

2.  Altered whole-brain connectivity in albinism.

Authors:  Thomas Welton; Sarim Ather; Frank A Proudlock; Irene Gottlob; Robert A Dineen
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3.  Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography.

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4.  Impact of chiasma opticum malformations on the organization of the human ventral visual cortex.

Authors:  Falko R Kaule; Barbara Wolynski; Irene Gottlob; Joerg Stadler; Oliver Speck; Martin Kanowski; Synke Meltendorf; Wolfgang Behrens-Baumann; Michael B Hoffmann
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Review 5.  DNA variations in oculocutaneous albinism: an updated mutation list and current outstanding issues in molecular diagnostics.

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6.  Comparison of visual function in pigmented and albino rats by electroretinography and visual evoked potentials.

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Review 7.  Connecting the retina to the brain.

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Journal:  Sci Rep       Date:  2019-09-13       Impact factor: 4.379

9.  Occipital Petalia and Albinism: A Study of Interhemispheric VEP Asymmetries in Albinism with No Nystagmus.

Authors:  Alkiviades Liasis; Sian E Handley; Ken K Nischal
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Review 10.  Using magnetic resonance imaging to assess visual deficits: a review.

Authors:  Holly D H Brown; Rachel L Woodall; Rebecca E Kitching; Heidi A Baseler; Antony B Morland
Journal:  Ophthalmic Physiol Opt       Date:  2016-05       Impact factor: 3.117

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