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Cortical sources of the early components of the visual evoked potential
Open accessAbstract
This study aimed to characterize the neural generators of the early components of the visual evoked potential (VEP) to isoluminant checkerboard stimuli. Multichannel scalp recordings, retinotopic mapping and dipole modeling techniques were used to estimate the locations of the cortical sources giving rise to the early C1, P1, and N1 components. Dipole locations were matched to anatomical brain regions visualized in structural magnetic resonance imaging (MRI) and to functional MRI (fMRI) activations elicited by the same stimuli. These converging methods confirmed previous reports that the C1 component (onset latency 55 msec; peak latency 90–92 msec) was generated in the primary visual area (striate cortex; area 17). The early phase of the P1 component (onset latency 72–80 msec; peak latency 98–110 msec) was localized to sources in dorsal extrastriate cortex of the middle occipital gyrus, while the late phase of the P1 component (onset latency 110–120 msec; peak latency 136–146 msec) was localized to ventral extrastriate cortex of the fusiform gyrus. Among the N1 subcomponents, the posterior N150 could be accounted for by the same dipolar source as the early P1, while the anterior N155 was localized to a deep source in the parietal lobe. These findings clarify the anatomical origin of these VEP components, which have been studied extensively in relation to visual‐perceptual processes. Hum. Brain Mapping 15:95–111, 2001. © 2001 Wiley‐Liss, Inc.
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AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Spherical splines for scalp potential and current density mapping
Perrin, F., Pernier, J., Bertrand, O., & Echallier, J. F. (1989) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(89)90180-6 · Cited by 2,706
Event-related brain potentials in the study of visual selective attention
Hillyard, S. A., & Anllo-Vento, L. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.781 · Cited by 1,525 · cited 1×
“Key words: VEP; dipoles; MRI; fMRI; retinotopic mapping; V1; ERP; C1; co-registration r r”
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Wandell, B. A., Dumoulin, S. O., & Brewer, A. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.012 · Cited by 1,231
Keil, A., Debener, S., Gratton, G., Junghöfer, M., Kappenman, E. S., Luck, S. J., Luu, P., Miller, G. A., & Yee, C. M. (2014) · Psychophysiology · doi:10.1111/psyp.12147 · Cited by 699
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Algarín, C., Peirano, P., Garrido, M., Pizarro, F., & Lozoff, B. (2003) · Pediatric Research · doi:10.1203/01.pdr.0000047657.23156.55 · Cited by 375
Metadata
- Authors
- Di Russo, F., Martínez, A., Sereno, M. I., Pitzalis, S., & Hillyard, S. A.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2001-11-14
- Volume
- 15
- Issue
- 2
- Pages
- 95-111
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W2152811887
- Cited by
- 1,170
- References
- 3
- FWCI
- 9.86
- Type
- journal article
- Language
- en
- Open access
- green
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