Abstract
This study aimed to analyze the neuronal sources of the visual evoked potentials after flash stimulation of the S- and the L/M-cone driven channels of the visual system. For 11 volunteers a 64-channel electroencephalography (EEG) was recorded during selective excitation of both color opponent channels. Individual and grand average data were analyzed topographically. Source localization was carried out using a realistically shaped three compartment boundary element model (BEM) and a mirrored moving dipole model. We found two main components (N1, P1) in all subjects, as well as a third late component in most subjects. For these components significant latency differences (N1=33 ms, P1=22 ms; p<0.05) between both color opponent channels were found. The results showed no differences in the topography and no differences in dipole localization between both color channels. Talairach coordinates of grand averages indicated activation in area 18. Comparison of results of separately stimulated eyes revealed no differences. Our findings showed that neural processing occurs in the same areas of the visual cortex for stimuli with different spectral properties. The signals of S- and L/M-cone driven channels are transmitted in distinct pathways to the cortex. Thus, the observed latency differences might be caused by different anatomical and functional properties of these pathways.
Acknowledgments
We thank Professor Reichenbach from the Institute of Diagnostic and Interventional Radiology at the Friedrich-Schiller University Jena for providing the MRI images. This work was supported in part by BMBF FKZ: 13N8521 and 03IP605 and DFG HA 2899/3-1.
References
[1] Arroyo S, Lesser RP, Poon WT, Webber WRS, Gordon B. Neuronal generators of visual evoked potentials in humans: visual processing in the human cortex. Epilepsia 1997; 38: 600–610.10.1111/j.1528-1157.1997.tb01146.xSuche in Google Scholar
[2] Becker R, Ritter P, Moosmann M, Villringer A. Visual evoked potentials recovered from fMRI scan periods. Human Brain Mapping 2005; 26: 221–230.10.1002/hbm.20152Suche in Google Scholar
[3] Bessler P, Klee S, Kellner U, Haueisen J. Silent substitution stimulation of S-cone pathway and L- and M-cone pathway in glaucoma. Invest Ophthalmol Vis Sci 2010; 51: 319–326.10.1167/iovs.09-3467Suche in Google Scholar
[4] Boon MY, Henry BI, Suttle CM, Dain SJ. The correlation dimension: a useful objective measure of the transient visual evoked potential? J Vis 2008; 8: 1–21.10.1167/8.1.6Suche in Google Scholar
[5] Cho JH, Vorwerk J, Wolters CH, Knosche TR. Influence of the head model on EEG and MEG source connectivity analyses. Neuroimage 2015; 110: 60–77.10.1016/j.neuroimage.2015.01.043Suche in Google Scholar
[6] Conway BR, Tsao DY. Color-tuned neurons are spatially clustered according to color preference within alert macaque posterior inferior temporal cortex. Proc Natl Acad Sci USA 2009; 106: 18034–18039.10.1073/pnas.0810943106Suche in Google Scholar
[7] Crognale MA, Kelly JP, Weiss AH, Teller DY. Development of the spatio-chromatic visual evoked potential (VEP): a longitudinal study. Vision Res 1998; 38: 3283–3292.10.1016/S0042-6989(98)00074-1Suche in Google Scholar
[8] da Silva FL. Functional localization of brain sources using EEG and/or MEG data: volume conductor and source models. Magn Reson Imaging 2004; 22: 1533–1538.10.1016/j.mri.2004.10.010Suche in Google Scholar PubMed
[9] Di Russo F, Pitzalis S, Spitoni G, et al. Identification of the neural sources of the pattern-reversal VEP. Neuroimage 2005; 24: 874–886.10.1016/j.neuroimage.2004.09.029Suche in Google Scholar PubMed
[10] Engel S, Zhang XM, Wandell B. Colour tuning in human visual cortex measured with functional magnetic resonance imaging. Nature 1997; 388: 68–71.10.1038/40398Suche in Google Scholar PubMed
[11] Estevez O, Spekreijse H. The “silent substitution” method in visual research. Vision Res 1982; 22: 681–691.10.1016/0042-6989(82)90104-3Suche in Google Scholar
[12] Fuchs M, Ford MR, Sands S, Lew HL. Overview of dipole source localization. Phys Med Rehabil Clin N Am 2004; 15: 251–262.10.1016/S1047-9651(03)00126-8Suche in Google Scholar
[13] Fuchs M, Wagner M, Kastner J. Boundary element method volume conductor models for EEG source reconstruction. Clin Neurophysiol 2001; 112: 1400–1407.10.1016/S1388-2457(01)00589-2Suche in Google Scholar
[14] Gegenfurtner KR. Cortical mechanisms of colour vision. Nat Rev Neurosci 2003; 4: 563–572.10.1038/nrn1138Suche in Google Scholar PubMed
[15] Gegenfurtner KR, Kiper DC, Levitt JB. Functional properties of neurons in macaque area V3. J Neurophysiol 1997; 77: 1906–1923.10.1152/jn.1997.77.4.1906Suche in Google Scholar PubMed
[16] Haueisen J, Ramon C, Eiselt M, Brauer H, Nowak H. Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head. IEEE Trans Biomed Eng 1997; 44: 727–735.10.1109/10.605429Suche in Google Scholar PubMed
[17] Hunt RWG. Revised color-appearance model for related and unrelated colors. Color Res Appl 1991; 16: 146–165.10.1002/col.5080160306Suche in Google Scholar
[18] Hunt RWG. Measuring colour, Ellis Horwood series in applied science and industrial technology ed. London: Ellis Horwood, 1995.Suche in Google Scholar
[19] Hunt RWG, Li CJ, Luo MR. Dynamic cone response functions for models of colour appearance. Color Res Appl 2003; 28: 82–88.10.1002/col.10128Suche in Google Scholar
[20] Jagle H, Heine J, Kurtenbach A. L:M-cone ratio estimates of the outer and inner retina and its impact on sex differences in ERG amplitudes. Doc Ophthalmol 2006; 113: 105–113.10.1007/s10633-006-9019-8Suche in Google Scholar PubMed
[21] Kim SE, Kim WS, Kim BG, et al. Spatiotemporal dynamics and functional correlates of evoked neural oscillations with different spectral powers in human visual cortex. Clin Neurophysiol 2013; 124: 2248–2256.10.1016/j.clinph.2013.04.341Suche in Google Scholar PubMed
[22] Kiper DC, Fenstemaker SB, Gegenfurtner KR. Chromatic properties of neurons in macaque area V2. Visual Neurosci 1997; 14: 1061–1072.10.1017/S0952523800011779Suche in Google Scholar
[23] Lanfer B, Paul-Jordanov I, Scherg M, Wolters CH. Influence of interior cerebrospinal fluid compartments on EEG source analysis. Biomedical Engineering/Biomedizinische Technik 2012; 57: 623–626.10.1515/bmt-2012-4020Suche in Google Scholar
[24] Lanfer B, Scherg M, Dannhauer M, Knosche TR, Burger M, Wolters CH. Influences of skull segmentation inaccuracies on EEG source analysis. Neuroimage 2012; 62: 418–431.10.1016/j.neuroimage.2012.05.006Suche in Google Scholar
[25] Liu JJ, Wandell BA. Specializations for chromatic and temporal signals in human visual cortex. J Neurosci 2005; 25: 3459–3468.10.1523/JNEUROSCI.4206-04.2005Suche in Google Scholar
[26] Lueck CJ, Zeki S, Friston KJ, et al. The color center in the cerebral-cortex of man. Nature 1989; 340: 386–389.10.1038/340386a0Suche in Google Scholar
[27] Mullen KT, Dumoulin SO, McMahon KL, de Zubicaray GI, Hess RF. Selectivity of human retinotopic visual cortex to S-cone-opponent, L/M-cone-opponent and achromatic stimulation. Eur J Neurosci 2007; 25: 491–502.10.1111/j.1460-9568.2007.05302.xSuche in Google Scholar
[28] Nuwer MR, Comi G, Emerson R, et al. IFCN standards for digital recording of clinical EEG. Electroenphalogr Clin Neurophysiol 1998; 106: 259–261.10.1016/S0013-4694(97)00106-5Suche in Google Scholar
[29] Odom JV, Bach M, Brigell M, et al. ISCEV standard for clinical visual evoked potentials (2009 update). Documenta Ophthalmologica 2010; 120: 111–119.10.1007/s10633-009-9195-4Suche in Google Scholar
[30] Pease PL, Adams AJ, Nuccio E. Optical-density of human macular pigment. Vision Res 1987; 27: 705–710.10.1016/0042-6989(87)90067-8Suche in Google Scholar
[31] Porciatti V, Sartucci F. Normative data for onset VEPs to red-green and blue-yellow chromatic contrast. Clin Neurophysiol 1999; 110: 772–781.10.1016/S1388-2457(99)00007-3Suche in Google Scholar
[32] Rabin J, Switkes E, Crognale M, Schneck ME, Adams AJ. Visual evoked potentials in three-dimensional color space: correlates of spatio-chromatic processing. Vision Res 1994; 34: 2657–2671.10.1016/0042-6989(94)90222-4Suche in Google Scholar
[33] Rentzeperis I, Nikolaev AR, Kiper DC, van Leeuwen C. Distributed processing of color and form in the visual cortex. Front Psychol 2014; 5: 1–14.10.3389/fpsyg.2014.00932Suche in Google Scholar
[34] Rice JK, Rorden C, Little JS, Parra LC. Subject position affects EEG magnitudes. Neuroimage 2013; 64: 476–484.10.1016/j.neuroimage.2012.09.041Suche in Google Scholar
[35] Robson AG, Kulikowski JJ. Objective specification of tritanopic confusion lines using visual evoked potentials. Vision Res 1998; 38: 3499–3503.10.1016/S0042-6989(98)00058-3Suche in Google Scholar
[36] Sand T, Zhitniy N, White LR, Stovner LJ. Visual evoked potential latency, amplitude and habituation in migraine: a longitudinal study. Clin Neurophysiol 2008; 119: 1020–1027.10.1016/j.clinph.2008.01.009Suche in Google Scholar
[37] Shapley R, Hawken MJ. Color in the cortex: single- and double-opponent cells. Vision Res 2011; 51: 701–717.10.1016/j.visres.2011.02.012Suche in Google Scholar
[38] Switkes E, Crognale MA. Comparison of color and luminance contrast: apples versus oranges? Vision Res 1999; 39: 1823–1831.10.1016/S0042-6989(98)00219-3Suche in Google Scholar
[39] Trieschmann M, van Kuijk FJGM, Alexander R, et al. Macular pigment in the human retina: histological evaluation of localization and distribution. Eye 2008; 22: 132–137.10.1038/sj.eye.6702780Suche in Google Scholar
[40] Vorwerk J, Cho JH, Rampp S, Hamer H, Knosche TR, Wolters CH. A guideline for head volume conductor modeling in EEG and MEG. Neuroimage 2014; 100: 590–607.10.1016/j.neuroimage.2014.06.040Suche in Google Scholar
[41] Wachtler T, Sejnowski TJ, Albright TD. Representation of color stimuli in awake macaque primary visual cortex. Neuron 2003; 37: 681–691.10.1016/S0896-6273(03)00035-7Suche in Google Scholar
[42] Wandell BA, Poirson AB, Newsome WT, et al. Color signals in human motion-selective cortex. Neuron 1999; 24: 901–909.10.1016/S0896-6273(00)81037-5Suche in Google Scholar
[43] Zeki S, Marini. Three cortical stages of colour processing in the human brain. Brain 1998; 121: 1669–1685.10.1093/brain/121.9.1669Suche in Google Scholar PubMed
©2017 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- Bone plates for osteosynthesis – a systematic review of test methods and parameters for biomechanical testing
- Research articles
- Computer assisted evaluation of plate osteosynthesis of diaphyseal femur fracture considering interfragmentary movement: a finite element study
- Larger screw diameter may not guarantee greater pullout strength for headless screws – a biomechanical study
- Design considerations for patient-specific surgical templates for total hip arthroplasty with respect to acetabular cartilage
- Migration measurement of the cemented Lubinus SP II hip stem – a 10-year follow-up using radiostereometric analysis
- Shear stress and von Mises stress distributions in the periphery of an embedded acetabular cup implant during impingement
- Mechanical properties of contemporary orthodontic adhesives used for lingual fixed retention
- Extraordinary biological properties of a new calcium hydroxyapatite/poly(lactide-co-glycolide)-based scaffold confirmed by in vivo investigation
- Feasibility study of using a Microsoft Kinect for virtual coaching of wheelchair transfer techniques
- Accuracy of leg alignment measurements from antero-posterior radiographs
- Holoentropy enabled-decision tree for automatic classification of diabetic retinopathy using retinal fundus images
- Pattern recognition of enrichment levels of SELEX-based candidate aptamers for human C-reactive protein
- Source localization of S-cone and L/M-cone driven signals using silent substitution flash stimulation
Artikel in diesem Heft
- Frontmatter
- Review
- Bone plates for osteosynthesis – a systematic review of test methods and parameters for biomechanical testing
- Research articles
- Computer assisted evaluation of plate osteosynthesis of diaphyseal femur fracture considering interfragmentary movement: a finite element study
- Larger screw diameter may not guarantee greater pullout strength for headless screws – a biomechanical study
- Design considerations for patient-specific surgical templates for total hip arthroplasty with respect to acetabular cartilage
- Migration measurement of the cemented Lubinus SP II hip stem – a 10-year follow-up using radiostereometric analysis
- Shear stress and von Mises stress distributions in the periphery of an embedded acetabular cup implant during impingement
- Mechanical properties of contemporary orthodontic adhesives used for lingual fixed retention
- Extraordinary biological properties of a new calcium hydroxyapatite/poly(lactide-co-glycolide)-based scaffold confirmed by in vivo investigation
- Feasibility study of using a Microsoft Kinect for virtual coaching of wheelchair transfer techniques
- Accuracy of leg alignment measurements from antero-posterior radiographs
- Holoentropy enabled-decision tree for automatic classification of diabetic retinopathy using retinal fundus images
- Pattern recognition of enrichment levels of SELEX-based candidate aptamers for human C-reactive protein
- Source localization of S-cone and L/M-cone driven signals using silent substitution flash stimulation