Reliability of ERP and single-trial analyses

NeuroImage

Volumn 58, Issue 2, 2011, Pages 620-629

  Gaspar, Carl M ^a   Rousselet, Guillaume A ^a   Pernet, Cyril R ^b  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

EEG; Faces; Linear regression; N170; Noise; Test retest

Indexed keywords

ARTICLE; BRAIN ELECTROPHYSIOLOGY; CORRELATION ANALYSIS; DYNAMICS; EVOKED VISUAL RESPONSE; FACE PROFILE; HUMAN; NOISE; PRIORITY JOURNAL; RELIABILITY; REPRODUCIBILITY; VALIDITY; VISUAL DISCRIMINATION; VISUAL STIMULATION;

ALGORITHMS; BEHAVIOR; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INDIVIDUALITY; LINEAR MODELS; OBSERVER VARIATION; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS; VISUAL PERCEPTION;

EID: 80051781282     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.06.052     Document Type: Article

References (46)

1. Bland J., Altman D. Statistics notes: measurement error and correlation coefficients. BMJ 1996, 313:41-42.
2. Burgess A., Colborne B. Visual signal detection. IV. Observer inconsistency. Journal of the Optical Society of America. A 1988, 5(4):617-627.
3. Daugman J. The importance of being random: statistical principles of iris recognition. Pattern Recognition 2003, 36(2):279-291.
4. Delorme A., Makeig S. Eeglab: an open source toolbox for analysis of single-trial eeg dynamics including independent component analysis. Journal of Neuroscience Methods 2004, 134(1):9-21.
5. Delorme A., Sejnowski T., Makeig S. Enhanced detection of artifacts in eeg data using higher-order statistics and independent component analysis. NeuroImage 2007, 34(4):1443-1449.
6. Gaspar C., Rousselet G. How do amplitude spectra influence rapid animal detection?. Vision Research 2009, 49(24):3001-3012.
7. Gaspar C., Bennett P., Sekuler A. The effects of face inversion and contrast-reversal on effciency and internal noise. Vision Research 2008, 48(8):1084-1095.
8. Gasser T., Bacher P., Steinberg H. Test-retest reliability of spectral parameters of the EEG* 1. Electroencephalography and Clinical Neurophysiology 1985, 60(4):312-319.
9. Gauthier I., Curran T., Curby K., Collins D. Perceptual interference supports a non-modular account of face processing. Nature Neuroscience 2003, 6(4):428-432.
10. Geisler M., Polich J. P300 and individual differences: morning/evening activity preference, food, and time-of-day. Psychophysiology 1992, 29(1):86-94.
11. Ghiselli E. Theory of Psychological Measurement 1964, McGraw-Hill.
12. Gold J., Bennett P., Sekuler A. Identification of band-pass filtered letters and faces by human and ideal observers. Vision Research 1999, 39(21):3537-3560.
13. Gregori B., Pro S., Bombelli F., Riccia M., Accornero N. Vep latency: sex and head size. Clinical Neurophysiology 2006, 117(5):1154-1157.
14. Husk J., Bennett P., Sekuler A. Inverting houses and textures: investigating the characteristics of learned inversion effects. Vision Research 2007, 47(27):3350-3359.
15. Jacques C., Rossion B. Early electrophysiological responses to multiple face orientations correlate with individual discrimination performance in humans. NeuroImage 2007, 36:863-876.
16. Jain A. Biometric recognition. Nature 2007, 449(9):38-40.
17. Kiebel S.J., Friston K.J. Statistical parametric mapping for event-related potentials I: generic considerations. NeuroImage 2004, 22:492-502.
18. Kuefner D., de Heering A., Jacques C., Palmero-Soler E., Rossion B. Early visually evoked electrophysiological responses over the human brain (p1, n170) show stable patterns of face-sensitivity from 4years to adulthood. Frontiers in Human Neuroscience 2010, 3.
19. Laming D.R.J. Information Theory of Choice Reaction Time 1968, Wiley, NewYork.
20. Lauritzen L., Jørgensen M., Michaelsen K. Test-retest reliability of swept visual evoked potential measurements of infant visual acuity and contrast sensitivity. Pediatric Research 2004, 55(4):701.
21. Makeig S., Debener S., Onton J., Delorme A. Mining event-related brain dynamics. Trends in Cognitive Sciences 2004, 8(5):204-210.
22. Morgan H., Klein C., Boehm S., Shapiro K., Linden D. Working memory load for faces modulates P300, N170, and N250r. Journal of Cognitive Neuroscience 2008, 20(6):989-1002.
23. Oppenheim A., Lim J. The importance of phase in signals. Proceedings of the IEEE 1981, 69(5):529-541.
24. Pernet C.R., Chauveau N., Gaspar C., Rousselet G.A. LIMO EEG: a toolbox for hierarchical LInear MOdeling of EletroEncephaloGraphic data. Computatioanl Intelligence and Neuroscience. ID 831409 2011.
25. Philiastides M.G., Sajda P. Temporal characterization of the neural correlates of perceptual decision making in the human brain. Cerebral Cortex 2006, 16(4):509-518.
26. Philiastides M.G., Ratcliff R., Sajda P. Neural representation of task diffculty and decision making during perceptual categorization: a timing diagram. The Journal of Neuroscience 2006, 26(35):8965-8975.
27. Piotrowski L.N., Campbell F.W. A demonstration of the visual importance and flexibility of spatial-frequency amplitude and phase. Perception 1982, 11(3):337-346.
28. Ratcliff R., McKoon G. The diffusion decision model: theory and data for two-choice decision tasks. Neural Computation 2008, 20:873-922.
29. Rossion B., Delvenne J., Debatisse D., Goffaux V., Bruyer R., Crommelinck M., Gu'erit J. Spatio-temporal localization of the face inversion effect: an event-related potentials study. Biological Psychology 1999, 50(3):173-189.
30. Rousselet G., Pernet C. Quantifying the time course of visual object processing using ERPs: it's time to up the game. Frontiers in Psychology 2011, 2:107. 10.3389/fpsyg.2011.00107.
31. Rousselet G., Mace M., Fabre-Thorpe M. Animal and human faces in natural scenes: how specific to human faces is the n170 erp component?. Journal of Vision 2004, 4(1):13-21.
32. Rousselet G., Husk J., Bennett P., Sekuler A. Single-trial EEG dynamics of object and face visual processing. NeuroImage 2007, 36(3):843-862.
33. Rousselet G., Pernet C., Bennett P., Sekuler A. Parametric study of eeg sensitivity to phase noise during face processing. BMC Neuroscience 2008, 9:98.
34. Rousselet G., Husk J., Bennett P., Sekuler A. Time course and robustness of erp object and face differences. Journal of Vision 2008, 8(3):1-18. URL, (12). http://journalofvision.org/8/12/3/.
35. Rousselet G., Husk J., Pernet C., Gaspar C., Bennett P., Sekuler A. Age-related delay in information accrual for faces: evidence from a parametric, single-trial eeg approach. BMC Neuroscience 2009, 10(1):114. URL. http://www.biomedcentral.com/1471-2202/10/114.
36. Rousselet G., Gaspar C., Pernet C., Husk J., Bennett P., Sekuler A. Healthy aging delays scalp eeg sensitivity to noise in a face discrimination task. Frontiers in Psychology 2010, 1:12.
37. Salinsky M., Oken B., Morehead L. Test-retest reliability in EEG frequency analysis. Electroencephalography and Clinical Neurophysiology 1991, 79(5):382-392.
38. Schyns P., Petro L., Smith M. Dynamics of visual information integration in the brain for categorizing facial expressions. Current Biology 2007, 17(18):1580-1585.
39. Segalowitz S., Barnes K. The reliability of ERP components in the auditory oddball paradigm. Psychophysiology 1993, 30(5):451-459.
40. Segalowitz S., Santesso D., Murphy T., Homan D., Chantziantoniou D., Khan S. Retest reliability of medial frontal negativities during performance monitoring. Psychophysiology 2010, 47(2):260-270.
41. Shrout P., Fleiss J. Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin 1979, 86(2):420-428.
42. Taylor M., Batty M., Itier R. The faces of development: a review of early face processing over childhood. Journal of Cognitive Neuroscience 2004, 16(8):1426-1442.
43. Tello C., De Moraes C., Prata T., Derr P., Patel J., Siegfried J., Liebmann J., Ritch R. Repeatability of short-duration transient visual evoked potentials in normal subjects. Documenta Ophthalmologica 2010, 120(3):219-228.
44. Van Rijsbergen N.J., Schyns P.G. Dynamics of trimming the content of face representations for categorization in the brain. PLoS Computational Biology 2009, 5(11). Nov.
45. Vul E., Harris C., Winkielman P., Pashler H. Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Perspectives on Psychological Science 2009, 4(3):274-290.
46. Wright C., Williams D., Drasdo N., Harding G. The influence of age on the electroretinogram and visual evoked potential. Documenta Ophthalmologica 1985, 59(4):365-384.