The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres

Cerebral Cortex

Volumn 26, Issue 11, 2016, Pages 4123-4135

  Ince, Robin A A ^a   Jaworska, Katarzyna ^a   Gross, Joachim ^a   Panzeri, Stefano ^b   Van Rijsbergen, Nicola J ^a   Rousselet, Guillaume A ^a   Schyns, Philippe G ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

EEG; face processing; information transmission; mutual information; reverse correlation

Indexed keywords

ARTICLE; CODING; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; HEMISPHERE; HUMAN; INFORMATION PROCESSING; LATENT PERIOD; PRIORITY JOURNAL; STIMULUS; VISIBILITY; VISUAL INFORMATION; WAVEFORM;

EID: 84994558852     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhw196     Document Type: Article

References (53)

1. Bastos AM, Schoffelen J-M. 2016. A tutorial review of functional connectivity analysis methods and their interpretational pitfalls. Front Syst Neurosci. 9:175.
2. Bentin S, Allison T, Puce A, Perez E, McCarthy G. 1996. Electrophysiological studies of face perception in humans. J Cogn Neurosci. 8:551-565.
3. Bressler SL, Seth AK. 2011. Wiener-Granger causality: A well established methodology. NeuroImage. 58:323-329.
4. Brown WS, Larson EB, Jeeves MA. 1994. Directional asymmetries in interhemispheric transmission time: evidence from visual evoked potentials. Neuropsychologia. 32:439-448.
5. Clarke S, Miklossy J. 1990. Occipital cortex in man: organization of callosal connections, related myelo-and cytoarchitecture, and putative boundaries of functional visual areas. J Comp Neurol. 298:188-214.
6. Cover TM, Thomas JA. 1991. Elements of information theory. New York: Wiley.
7. Dalrymple KA, Oruç I, Duchaine B, Pancaroglu R, Fox CJ, Iaria G, Handy TC, Barton JJS. 2011. The anatomic basis of the right face-selective N170 IN acquired prosopagnosia: A combined ERP/fMRI study. Neuropsychologia. 49:2553-2563.
8. Eimer M. 2000. The face-specific N170 component reflects late stages in the structural encoding of faces. Neuroreport. 11:2319-2324.
9. Engell AD, McCarthy G. 2011. The relationship of gamma oscillations and face-specific ERPs recorded subdurally from occipitotemporal cortex. Cereb Cortex. 21:1213-1221.
10. Essen DV, Newsome WT, Bixby JL. 1982. The pattern of interhemispheric connections and its relationship to extrastriate visual areas in the macaque monkey. J Neurosci. 2:265-283.
11. Granger CW. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica. 37:424-438.
12. Holmes AP, Blair RC, Watson G, Ford I. 1996. Nonparametric analysis of statistic images from functional mapping experiments. J Cereb Blood Flow Metab. 16:7-22.
13. Horovitz SG, Rossion B, Skudlarski P, Gore JC. 2004. Parametric design and correlational analyses help integrating fMRI and electrophysiological data during face processing. Neuroimage. 22:1587-1595.
14. Ince RAA, Mazzoni A, Bartels A, Logothetis NK, Panzeri S. 2012. A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features. J Neurosci Methods. 210:49-65.
15. Ince RAA, van Rijsbergen N, Thut G, Rousselet GA, Gross J, Panzeri S, Schyns PG. 2015. Tracing the flow of perceptual features in an algorithmic brain network. Sci Rep. 5:17681.
16. Ince RAA, Giordano BL, Kayser C, Rousselet GA, Gross J, Schyns PG. 2016. A statistical framework for neuroimaging data analysis based on mutual information estimated via a Gaussian copula. bioRxiv. doi:10. 1101/043745.
17. Ipata A, Girelli M, Miniussi C, Marzi CA. 1997. Interhemispheric transfer of visual information in humans: The role of different callosal channels. Arch Ital Biol. 135:169-182.
18. Itier RJ, Taylor MJ. 2004. Source analysis of the N170 to faces and objects. Neuroreport. 15:1261-1265.
19. Jonas J, Descoins M, Koessler L, Colnat-Coulbois S, Sauvée M, Guye M, Vignal J-P, Vespignani H, Rossion B, Maillard L. 2012. Focal electrical intracerebral stimulation of a face-sensitive area causes transient prosopagnosia. Neuroscience. 222:281-288.
20. Jonas J, Rossion B, Krieg J, Koessler L, Colnat-Coulbois S, Vespignani H, Jacques C, Vignal J-P, Brissart H, Maillard L. 2014. Intracerebral electrical stimulation of a face-selective area in the right inferior occipital cortex impairs individual face discrimination. Neuroimage. 99:487-497.
21. Kayser J, Tenke CE. 2006. Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. evaluation with auditory oddball tasks. Clin Neurophysiol. 117:348-368.
22. Kayser SJ, Ince RAA, Gross J, Kayser C. 2015. Irregular speech rate dissociates auditory cortical entrainment, evoked responses, and frontal alpha. J Neurosci. 35:14691-14701.
23. Ma J, Sun Z. 2011 Mutual information is copula entropy. Tsinghua Sci Technol. 16:51-54.
24. Magri C, Whittingstall K, Singh V, Logothetis NK, Panzeri S. 2009. A toolbox for the fast information analysis of multiplesite LFP, EEG and spike train recordings. BMC Neurosci. 10:81.
25. Marr D. 1982. Vision: A computational investigation into the human representation and processing of visual information. New York: W. H. Freeman.
26. Massey J. 1990. Causality, feedback and directed information. In: Proc. Int. Symp. Inf. Theory Applic. (ISITA-90). Citeseer. p. 303-305.
27. Misra N, Singh H, Demchuk E. 2005. Estimation of the entropy of a multivariate normal distribution. J Multivar Anal. 92: 324-342.
28. Nelsen RB. 2006. An introduction to copulas. Springer-Verlag New York.
29. Nguyen VT, Cunnington R. 2014. The superior temporal sulcus and the N170 during face processing: single trial analysis of concurrent EEG-fMRI. Neuroimage. 86:492-502.
30. Philiastides MG, Sajda P. 2006. Temporal characterization of the neural correlates of perceptual decision making in the human brain. Cereb Cortex. 16:509-518.
31. Prieto EA, Caharel S, Henson R, Rossion B. 2011. Early (n170/ m170) face-sensitivity despite right lateral occipital brain damage in acquired prosopagnosia. Front Hum Neurosci 5:138.
32. Rosburg T, Ludowig E, Dümpelmann M, Alba-Ferrara L, Urbach H, Elger CE. 2010. The effect of face inversion on intracranial and scalp recordings of event-related potentials. Psychophysiology. 47:147-157.
33. Rossion B, Jacques C. 2008. Does physical interstimulus variance account for early electrophysiological face sensitive responses in the human brain Ten lessons on the N170. Neuroimage. 39:1959-1979.
34. Rousselet GA, Pernet CR, Bennett PJ, Sekuler AB. 2008. Parametric study of EEG sensitivity to phase noise during face processing. BMC Neurosci. 9:98.
35. Rousselet GA, Ince RAA, van Rijsbergen NJ, Schyns PG. 2014a. Eye coding mechanisms in early human face event-related potentials. J Vis. 14:7.
36. Rousselet GA, Ince RAA, van Rijsbergen NJ, Schyns PG. 2014b. Data from: eye coding mechanisms in early human face event-related potentials. Dryad Digit Repos. doi:10. 5061/ dryad. 8m2g3
37. Sadeh B, Podlipsky I, Zhdanov A, Yovel G. 2010. Event-related potential and functional MRI measures of face-selectivity are highly correlated: A simultaneous ERP-fMRI investigation. Hum Brain Mapp. 31:1490-1501.
38. Saenz M, Fine I. 2010. Topographic organization of V1 projections through the corpus callosum in humans. Neuroimage. 52:1224-1229.
39. Sato W, Kochiyama T, Uono S, Yoshikawa S. 2008. Time course of superior temporal sulcus activity in response to eye gaze: A combined fMRI and MEG study. Soc Cogn Affect Neurosci. 3:224-232.
40. Schreiber T. 2000. Measuring information transfer. Phys Rev Lett. 85:461-464.
41. Schyns PG, Jentzsch I, Johnson M, Schweinberger SR, Gosselin F. 2003. A principled method for determining the functionality of brain responses. Neuroreport. 14:1665-1669.
42. Schyns PG, Petro LS, Smith ML. 2007. Dynamics of visual information integration in the brain for categorizing facial expressions. Curr Biol. 17:1580-1585.
43. Schyns PG, Gosselin F, Smith ML. 2009. Information processing algorithms in the brain. Trends Cogn Sci. 13:20-26.
44. Sehatpour P, Molholm S, Schwartz TH, Mahoney JR, Mehta AD, Javitt DC, Stanton PK, Foxe JJ. 2008. A human intracranial study of long-range oscillatory coherence across a frontal-occipital-hippocampal brain network during visual object processing. Proc Natl Acad Sci U S A. 105:4399-4404.
45. Smith ML, Gosselin F, Schyns PG. 2004. Receptive fields for flexible face categorizations. Psychol Sci. 15:753-761.
46. Smith ML, Gosselin F, Schyns PG. 2007. From a face to its category via a few information processing states in the brain. Neuroimage. 37:974-984.
47. Smith ML, Fries P, Gosselin F, Goebel R, Schyns PG. 2009. Inverse mapping the neuronal substrates of face categorizations. Cereb Cortex. 19:2428-2438.
48. Tanenbaum AS, Austin T. 2012. Structured computer organization. 6th ed. Boston: Pearson.
49. Tenke CE, Kayser J. 2012. Generator localization by current source density (CSD): Implications of volume conduction and field closure at intracranial and scalp resolutions. Clin Neurophysiol. 123:2328-2345.
50. van Rijsbergen NJ, Schyns PG. 2009. Dynamics of trimming the content of face representations for categorization in the brain. PLoS Comput Biol 5:e1000561].
51. Watanabe S, Kakigi R, Puce A. 2003. The spatiotemporal dynamics of the face inversion effect: A magneto-and electroencephalographic study. Neuroscience. 116:879-895.
52. Wibral M, Vicente R, Lindner M. 2014. Transfer entropy in neuroscience. In: Wibral M, Vicente R, Lizier JT, editors. Directed information measures in neuroscience. Understanding complex systems. Berlin Heidelberg: Springer. p. 3-36.
53. Wiener N. 1956. The theory of prediction. New York, NY, USA: McGraw-Hill.