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

NeuroImage

Volumn 49, Issue 3, 2010, Pages 2494-2502

  Ales, Justin ^a   Carney, Thom ^a   Klein, Stanley A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN FUNCTION; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE DISPLAY; NEUROIMAGING; PRIORITY JOURNAL; STIMULUS RESPONSE; VISUAL CORTEX; VISUAL FIELD; WAVEFORM;

BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; SIGNAL PROCESSING, COMPUTER-ASSISTED; VISUAL CORTEX;

EID: 71849091523     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.09.022     Document Type: Article

References (38)

1. Baillet S., Riera J.J., Marin G., Mangin J.F., Aubert J., and Garnero L. Evaluation of inverse methods and head models for EEG source localization using a human skull phantom. Phys. Med. Biol. 46 1 (2001) 77-96
2. Baker S., Baseler H., Klein S., and Carney T. Localizing sites of activation in primary visual cortex using visual-evoked potentials and functional magnetic resonance imaging. J. Clin. Neurophysiol. 23 (2006) 404-415
3. Baseler H.A., and Sutter E.E. M and p components of the vep and their visual field distribution. Vision Res. 37 6 (1997) 675-690
4. Baseler H.A., Morland A.B., and Wandell B.A. Topographic organization of human visual areas in the absence of input from primary cortex. J. Neurosci. 19 7 (1999) 2619-2627
5. Carney, T., Ales, J. and Klein, S.A., 2006. Advances in multifocal methods for imaging human brain activity. Proceedings of SPIE "Human Vision and Electronic Imaging X1" 6057, pp. 16-1 16-12.
6. Clark V., Fan S., and Hillyard S. Identification of early visual evoked potential generators by retinotopic and topographic analyses. Hum. Brain Mapp. 2 3 (1995) 170-187
7. Dale A.M., Fischl B., and Sereno M.I. Cortical surface-based analysis. I. segmentation and surface reconstruction. Neuroimage 9 2 (1999) 179-194
8. Dale A.M., Liu A.K., Fischl B.R., Buckner R.L., Belliveau J.W., Lewine J.D., et al. Dynamic statistical parametric mapping: combining fMRI and meg for high-resolution imaging of cortical activity. Neuron 26 1 (2000) 55-67
9. Dandekar S., Ales J., Carney T., and Klein S.A. Methods for quantifying intra-and inter-subject variability of evoked potential data applied to the multifocal visual evoked potential. J. Neurosci. Methods 165 (2007) 270-286
10. DeYoe E.A., Bandettini P., Neitz J., Miller D., and Winans P. Functional magnetic resonance imaging (fMRI) of the human brain. J. Neurosci. Methods 54 2 (1994) 171-187
11. Di Russo F., Martínez A., Sereno M.I., Pitzalis S., and Hillyard S.A. Cortical sources of the early components of the visual evoked potential. Hum. Brain Mapp. 15 2 (2002) 95-111
12. Dougherty R.F., Koch V.M., Brewer A.A., Fischer B., Modersitzki J., and Wandell B.A. Visual field representations and locations of visual areas v1/2/3 in human visual cortex. J. Vis. 3 10 (2003) 586-598
13. Engel S.A., Glover G.H., and Wandell B.A. Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cereb. Cortex 7 2 (1997) 181-192
14. Ferree T.C., Clay M.T., and Tucker D.M. The spatial resolution of scalp EEG. Neurocomputing 38 40 (2001) 1209-1216
15. Fischl B., Sereno M.I., Tootell R.B., and Dale A.M. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8 4 (1999) 272-284
16. Goncalves S.I., de Munck J.C., Verbunt J.P.A., Bijma F., Heethaar R.M., and Lopes da Silva F. In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head. Biomedical. Engineering, IEEE Transactions on 50 6 (2003) 754-767
17. Horton J.C., and Hoyt W.F. The representation of the visual field in human striate cortex. a revision of the classic Holmes map. Arch. Ophthalmol. 109 6 (1991) 816-824
18. Hagler D.J., Halgren E., Martinez A., Huang M., Hillyard S.A., and Dale A.M. Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically-mapped stimulus locations. Hum. Brain Mapp. (2008) 2008 20 Jun
19. Hämäläinen M.S., and Ilmoniemi R.J. Interpreting magnetic fields of the brain: minimum norm estimates. Med. Biol. Eng. Comput. 32 1 (1994) 35-42
20. Klein S.A., and Carney T. The usefulness of the laplacian in principal component analysis and dipole source localization. Brain Topogr. 8 2 (1995) 91-108
21. Lütkenhöner B. Dipole separability in a neuromagnetic source analysis. IEEE Trans. Biomed. Eng. 45 5 (1998) 572-581
22. Mehta A.D., Ulbert I., and Schroeder C.E. Intermodal selective attention in monkeys. I: distribution and timing of effects across visual areas. Cereb. Cortex 10 4 (2000) 343-358
23. Mosher J.C., Leahy R.M., and Lewis P.S. Eeg and meg: forward solutions for inverse methods. IEEE Trans. Biomed. Eng. 46 3 (1999) 245-259
24. Mosher J.C., Spencer M.E., Leahy R.M., and Lewis P.S. Error bounds for eeg and meg dipole source localization. Electroencephalogr. Clin. Neurophysiol. 86 5 (1993) 303-321
25. Nunez P.L., and Srinivasan R. Electric fields of the brain: the neurophysics of eeg (2006), Oxford University Press, New York
26. Phillips C., Rugg M.D., and Friston K.J. Anatomically informed basis functions for eeg source localization: combining functional and anatomical constraints. Neuroimage 16 3 Pt. 1 (2002) 678-695
27. Scherg M. Functional imaging and localization of electromagnetic brain activity. Brain Topogr. 5 2 (1992) 103-111
28. Schira M.M., Wade A.R., and Tyler C.W. Two-dimensional mapping of the central and parafoveal visual field to human visual cortex. J. Neurophysiol. 97 6 (2007) 4284-4295
29. Schmolesky M.T., Wang Y., Hanes D.P., Thompson K.G., Leutgeb S., Schall J.D., et al. Signal timing across the macaque visual system. J. Neurophysiol. 79 6 (1998) 3272-3278
30. Sharon D., Hamalainen M.S., Tootell R.B., Halgren E., and Belliveau J.W. The advantage of combining MEG and EEG: comparison to fMRI in focally stimulated visual cortex. Neuroimage 36 (2007) 1225-1235
31. Slotnick S.D., Klein S.A., Carney T., Sutter E., and Dastmalchi S. Using multi-stimulus vep source localization to obtain a retinotopic map of human primary visual cortex. Clin. Neurophysiol. 110 10 (1999) 1793-1800
32. Sutter E.E. The fast m-transform: a fast computation of cross-correlations with binary m-sequences. SIAM J. Comput. 20 4 (1991) 686-694
33. Sutter E.E. Imaging visual function with the multifocal m-sequence technique. Vision Res. 41 10-11 (2001) 1241-1255
34. Teo P.C., Sapiro G., and Wandell B.A. Creating connected representations of cortical gray matter for functional MRI visualization. IEEE Trans. Med. Imaging 16 6 (1997) 852-863
35. Vanni S., Warnking J., Dojat M., Delon-Martin C., Bullier J., and Segebarth C. Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis. Neuroimage 21 3 (2004) 801-817
36. Zhang Z. A fast method to compute surface potentials generated by dipoles within multilayer anisotropic spheres. Physics in medicine and biology 40 3 (1995) 335-349
37. Zhang X., and Hood D.C. A principal component analysis of multifocal pattern reversal vep. J. Vis. 4 1 (2004) 32-43
38. Zhang Z., Jewett D.L., and Goodwill G. Insidious errors in dipole parameters due to shell model misspecification using multiple time-points. Brain Topogr. 6 4 (1994) 283-298