Electroencephalography (EEG) as a research tool in the information systems discipline: Foundations, measurement, and applications

Communications of the Association for Information Systems

Volumn 37, Issue 1, 2015, Pages 911-948

  Müller Putz, Gernot R ^a   Riedl, René ^b   Wriessnegger, Selina C ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

Author keywords

Brain; Construct; EEG guidelines; Electroencephalography (EEG); Error related negativity (ERN); Event related potential (ERP); Frequency bands; Measurement; Methodology; N200; N400; NeuroIS; Neuron; P200; P300; Research method; Spontaneous EEG

Indexed keywords

BRAIN; ELECTROPHYSIOLOGY; FREQUENCY BANDS; INFORMATION USE; KNOWLEDGE BASED SYSTEMS; MEASUREMENT; NEURONS;

CONSTRUCT; EVENT-RELATED POTENTIALS; METHODOLOGY; N200; N400; NEUROIS; P200; P300; RESEARCH METHODS; SPONTANEOUS EEG;

ELECTROENCEPHALOGRAPHY;

EID: 84948760714     PISSN: 15293181     EISSN: None     Source Type: Journal    
DOI: 10.17705/1cais.03746     Document Type: Article

References (156)

1. Adam, M. T. P., Gimpel, H., Mädche, A., & Riedl, R (2014). Stress-sensitive adaptive enterprise systems: Theoretical foundations and design blueprint. In Proceedings of the Gmunden Retreat on NeuroIS 2014 (pp. 39-41).
2. Allison, B. Z., Dunne, S., Leeb, R., Millán, J. R., & Nijholt, A. (Eds.). (2012). Towards practical braincomputer interfaces: bridging the gap from research to real-world applications. Heidelberg: Springer Verlag.
3. Allison, T., Wood, C. C., & McCarthy, G. (1986). The central nervous system. In M. G. H. Coles, S. W. Porges, & E. Donchin (Eds.), Psychophysiology: Systems, processes, and applications (pp. 5-25). New York: Guilford.
4. Astor, P. J., Adam, M. T. P., Jerčić, P., Schaaff, K., & Weinhardt, C. (2013). Integrating biosignals into information systems: A NeuroIS tool for improving emotion regulation. Journal of Management Information Systems, 30(3), 247-278.
5. nd ed.). Amsterdam: Elsevier.
6. Baillet, S., Mosher, J. C., & Leahy, R. M. (2001). Electromagnetic brain mapping. IEEE Signal Processing Magazine, 14-30.
7. Bartholow, B. D., & Amodio, D. M. (2009). Using event-related brain potentials in social psychological research: A brief review and tutorial. In E. Harmon-Jones & J. S. Beer (Eds.), Methods in social neuroscience (pp. 198-232). New York: Guilford Press.
8. Becker, F., Reinvang, I. (2007). Mismatch negativity elicited by tones and speech sounds: Changed topographical distribution in aphasia. Brain and Language, 100, 69-78.
9. Begleiter, H., Porjesz, B., Chou, C. L., & Aunon, J. I. (1983). P3 and stimulus incentive value. Psychophysiology, 20, 95-101.
10. Berger, H. (1929). Uber das Elektrenkephalogramm des Menschen. Archiv für Psychiatrie, 87, 527-570.
11. Berka, C., Levendowski, D. J., Lumicao, M. N., Yau, A., Davis, G., Zivkovic, V. T., Olmstead, R. E., Tremoulet, P. D., & Craven, P. L. (2007). EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation, Space, and Environmental Medicine, 78(5), B231-B244.
12. Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999). A spelling device for the paralysed. Nature, 398(6725), 297-298.
13. Boudreau, C., McCubbins, M. D., & Coulson, S. (2008). Knowing when to trust others: An ERP study of decision making after receiving information from unknown people. Social Cognitive and Affective Neuroscience, 4, 23-34.
14. Botvinick, M. M., Cohen, J. D., & Carter, C. S. (2004). Conflict monitoring and anterior cingulate cortex: An update. Trends in Cognitive Sciences, 8(12), 539-546.
15. Botvinick, M. M., Nystrom, L. E., Fissell, K., Carter, C. S., & Cohen, J. D. (1999). Conflict monitoring versus selection-for-action in anterior cingulate cortex. Nature, 402(6758), 179-181.
16. Buzsaki, G., & Draguhn, A. (2004). Neuronal oscillations in cortical networks. Science, 304(5679), 1926- 1929.
17. Cacioppo, J. T., Petty, R. E., & Marshall-Goodell, B. (1985). Physical, social, and inferential elements of psychophysiological measurement. In P. Karoly (Ed.), Measurement strategies in health psychology (pp. 263-300). New York: John Wiley & Sons.
18. Cahn, B. R., & Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychological Bulletin, 132(2), 180-211.
19. Carter, C. S., Braver, T. S., Barch, D. M., Motvinick, M. M., Noll, D., & Cohen, J. D. (1998). Anterior cingulate cortex, error detection, and the online monitoring of performance. Science, 280(5364), 747-749.
20. Croft, R. J., Chandler, J. S., Barry, R. J., Cooper, N. R., & Clarke, A. R. (2005). EOG correction: A comparison of four methods. Psychophysiology, 42, 16-24.
21. Crone, N., Sinai, A., Korzeniewska, A. (2006). High-frequency gamma oscillations and human brain mapping with electrocorticography. Progress in Brain Research, 159, 275-295.
22. Czigler, I., Balazs, L., & Winkler, I. (2002). Memory-based detection of task-irrelevant visual changes. Psychophysiology, 39, 869-873.
23. Davidson, R. J. (1993). Cerebral asymmetry and emotion: Conceptual and Methodological conundrums. Cognition and Emotion, 7(1), 115-138.
24. nd ed., pp. 27-56). Cambridge: Cambridge University Press.
25. Delorme, A., Palmer, J., Onton, J., Oostenveld, R., & Makeig, S. (2012). Independent EEG sources are dipolar. PLoS ONE, 7(2), 1-14.
26. Demaree, H. A., Everhart, D. E., Youngstrom, E. A., & Harrison, D. W. (2005). Brain lateralization of emotional processing: Historical roots and a future incorporating "dominance". Behavioral and Cognitive Neuroscience Reviews, 4(1), 3-20.
27. Dimoka, A. (2010). What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quarterly, 34(2), 373-396.
28. Dimoka, A., Pavlou, P. A., & Davis, F. D. (2007). NeuroIS: The potential of cognitive neuroscience for information systems research. In Proceedings of the 28th International Conference on Information Systems (pp. 1-20).
29. Dimoka, A., Banker, R. D., Benbasat, I., Davis, F. D., Dennis, A. R., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Müller-Putz, G., Pavlou, P. A., Riedl, R., vom Brocke, J., & Weber, B. (2012). On the use of neurophysiological tools in IS research: Developing a research agenda for NeuroIS. MIS Quarterly, 36(3), 679-702.
30. rd ed.) (pp. 85-119). Cambridge: Cambridge University Press.
31. Falkenstein, M., Hohnsbein, J., Hoormann, J., Blanke L. (1990). Effects of errors in choice reaction tasks on the ERP under focused and divided attention. In C. H. M. Brunia, A. W. K. Gaillard, & A. Kok (Eds.), Psychophysiological brain research (pp. 192-195). Tilburg, The Netherlands: Tilburg University Press.
32. Ferrez, P. W., & del R. Millán, J. (2005). You are wrong! Automatic detection of interaction errors from brainwaves. In Proceedings of the 19th International Joint Conference on Artificial Intelligence (pp. 1413-1418).
33. Ferrez, P. W., & del R. Millán, J. (2008). Error-related EEG potentials generated during simulated braincomputer interaction. IEEE Transactions on Bio-Medical Engineering, 55(3), 923-929.
34. Folstein, J. R., Van Petten, C. (2008). Influence of cognitive control and mismatch on the N2 component of the ERP: A review. Psychophysiology, 45, 152-170.
35. Freunberger, R., Klimesch, W., Doppelmayr, M., Holler, Y. (2007). Visual P2 component is related to theta phase-locking. Neuroscience Letters, 426, 181-186.
36. Fritz, T., Begel, A., Müller, S. C., Yigit-Elliott, S., & Züger, M. (2014). Using psycho-physiological measures to assess task difficulty in software development. In Proceedings of the 36th International Conference on Software Engineering.
37. Fu, S., & Parasuraman, R. (2007). Event-related potentials (ERPs) in neuroergonomics. In R. Parasuraman & M Rizzo (Eds.), Neuroergonomics: The brain at work (pp. 32-50). Oxford: Oxford University Press.
38. Gasser, T., & Molinari, L. (1996). The analysis of the EEG. Statistical Methods in Medical Research, 5, 67- 99.
39. Gevins, A., & Smith, M. E. (2000). Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. Cerebral Cortex, 10 (9), 829-839.
40. Gevins, A., & Smith, M. E. (2007). Electroencephalography (EEG) in neuroergonomics. In R. Parasuraman & M Rizzo (Eds.), Neuroergonomics: The brain at work (pp. 15-31). Oxford: Oxford University Press.
41. Goldstein, R. Z., Cottone, L. A., Jia, Z., Maloney, T., Volkow, N. D., & Squires, N. K. (2006). The effect of graded monetary reward on cognitive event-related potentials and behavior in young healthy adults. International Journal of Psychophysiology, 62(2), 272-279.
42. Graimann, B., Huggins, J. E., Levine, S. P., & Pfurtscheller, G. (2002). Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data. Clinical Neurophysiology, 113, 43-47.
43. rd ed., pp. 834-858). Cambridge: Cambridge University Press.
44. Handy, T. (2005). Event-related potentials: A methods handbook. Cambridge, MA: MIT Press.
45. Handy, T. C., Smilek, D., Geiger, L., Liu, C., & Schooler,J. W. (2008). ERP evidence for rapid hedonic evaluation of logos. Journal of Cognitive Neuroscience, 22(1), 124-138.
46. Hariharan, A., Adam, M. T., & Fuong, K. (2014). Towards understanding the interplay of cognitive demand and arousal in auction bidding. In Proceedings of the European Conference on Information Systems.
47. Harmon-Jones, E., & Peterson, C. K. (2009). Electroencephalographic methods in social and personality psychology. In E. Harmon-Jones & J. S. Beer (Eds.), Methods in social neuroscience (pp. 170-197). New York: Guilford Press.
48. Hjorth, B. (1975). An on-line transformation of EEG scalp potentials into orthogonal source derivations. Clinical EEG and Neuroscience, 39, 526-530.
49. Hillyard, S. A., Vogel, E. K., & Luck, S .J. (1998). Sensory gain control (amplification) as a mechanism of selective attention: Electrophysiological and neuroimaging evidence. Philosophical Transactions of the Royal Society: Biological Sciences, 353, 1257-1270.
50. Hobson, J., & Pace-Schott, E. (2002). The cognitive neuroscience of sleep: Neuronal systems, consciousness and learning. Nature Reviews Neuroscience, 3(9), 679-693.
51. Holm, A., Lukander, K., Korpela, J., Sallinen, M., & Müller, K. M. (2009). Estimating brain load from the EEG. Scientific World Journal, 9, 639-651.
52. Hopf, J.-M., Vogel, E. K., Woodman, G. F., Heinze, H.-J., & Luck, S. J. (2002). Localizing visual discrimination processes in time and space. Journal of Neurophysiology, 88, 2088-2095.
53. Hömberg, V., Grünewald, G., & Grünewald-Zuberbier, E. (1981). The variation of amplitude in a moneywinning paradigm in children. Psychophysiology, 18(3), 258-262.
54. Hughes, J. R. (2008). Gamma, fast, and ultrafast waves of the brain: their relationships with epilepsy and behavior. Epilepsy & Behavior, 13(1), 25-31.
55. Jacobs, J., & Kahana, M.J. (2010). Direct brain recordings fuel advances in cognitive electrophysiology. Trends in Cognitive Sciences, 14, 162-171.
56. Jasper, H. H. (1958). The ten-twenty electrode system of the International Federation. Electroencephalography & Clinical Neurophysiology, 10, 371-375.
57. Jurcak, V., Tsuzuki, D., & Dan, I. (2007). 10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems. NeuroImage, 34(4), 1600-1611.
58. Katayama, J., & Polich, J. (1998). Stimulus context determines P3a and P3b. Psychophysiology, 35, 23- 33.
59. Keil, A., Debener, S., Gratton, G., Junghöfer, M., Kappenman, E. S., Luck, S. J., Luu, P., Miller, G. A., & Yee, C. M. (2014). Publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. Psychophysiology, 51(1), 1-21.
60. Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29, 169-195.
61. Klem, G. H., Lüders, H. O., Jasper, H. H., & Elger, C. (1999). The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. Electroencephalography & Clinical Neurophysiology, 52, 3-6.
62. Knyazev, G. G., & Slobodskaya, H. R. (2003). Personality trait of behavioral inhibition is associated with oscillatory systems reciprocal relationships. International Journal of Psychophysiology, 48, 247-261.
63. Kramer, A. F. (1990). Physiological metrics of mental workload: A review of recent progress. San Diego, CA: Navy Personnel Research and Development Center.
64. Kreilinger, A., Neuper, C., & Müller-Putz, G. (2012). Error potential detection during continuous movement of an artificial arm controlled by brain-computer interface. Medical & Biological Engineering & Computing, 50(3), 223-230.
65. Kübler, A., Kotchoubey, B., Kaiser, J., Wolpaw, J. R., & Birbaumer, N. (2001). Brain-computer communication: unlocking the locked-in. Psychological Bulletin, 127, 358-375.
66. Kutas, M., & Hillyard, S. A. (1980a). Reading senseless sentences: Brain potentials reflect semantic incongruity. Science, 207, 203-208.
67. Kutas, M., & Hillyard, S. A. (1980b). Reading between the lines: Event-related brain potentials during natural sentence processing. Brain and Language, 11(2), 354-373.
68. Kutas, M., Federmeier, K. D. (2000). Electrophysiology reveals semantic memory use in language comprehension. Trends in Cognitive Science, 4 (12), 463-470.
69. Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event related brain potential (ERP). Annual Review of Psychology, 62, 621-647.
70. Lachaux, J. P., Rudrauf, D., & Kahane, P. (2003). Intracranial EEG and human brain mapping. Journal of Physiology Paris, 97, 613-628.
71. Lantz, G., Grave de Peralta, R., Spinelli, L., Seeck, M., & Michel, C. M. (2003). Epileptic source localization with high density EEG: how many electrodes are needed? Clinical Neurophysiology, 114, 63-69.
72. Lee, J. C., & Tan, D. S. (2006). Using a low-cost electroencephalograph for task classification in HCI research. In Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology (pp. 81-90). New York: ACM.
73. Léger, P.-M., Riedl, R., & vom Brocke, J. (2014a). Emotions and ERP information sourcing: The moderating role of expertise. Industrial Management & Data Systems, 114(3), 456-471.
74. Léger, P.-M., Sénecal, S., Courtemanche, F., Ortiz de Guinea, A., Titah, R., Fredette, M., & Labonte-Lemoine, È. (2014b). Precision is in the eye of the beholder: Application of eye fixation-related potentials to information systems research. Journal of the Association for Information Systems, 15(10), 651-678.
75. Liu, A. K., Dale, A. M., & Belliveau, J. W. (2002). Monte Carlo simulation studies of EEG and MEG localization accuracy. Human Brain Mapping, 16(1), 47-62.
76. Loos, P., Riedl, R., Müller-Putz, G. R., vom Brocke, J., Davis, F. D., Banker, R. D., & Léger, P.-M. (2010). NeuroIS: Neuroscientific approaches in the investigation and development of information systems. Business & Information Systems Engineering, 2(6), 395-401.
77. Lopes da Silva, F. H. & Spekreijse, H. (1991). Localization of brain sources of visually evoked responses using single and multiple dipoles. An overview of different approaches. In C. H. M. Brunia, G. Mulder, & M. N. Verbaten (Eds.), Event-related brain potential research (pp. 38-46). Elsevier: Amsterdam.
78. Lorente de Nò, R. (1947). Action potential of the motoneurons of the hypoglossus nucleus. Journal of Cellular and Comparative Physiology, 29, 207-287.
79. Luck, S. (2005). An introduction to the event-related potential technique. Cambridge, MA: MIT Press.
80. Luck, S. (2014). An introduction to the event-related potential technique. Cambridge, MA: MIT Press.
81. Luck, S. J., & Hillyard, S. A. (1994). Electrophysiological correlates of feature analysis during visual search. Psychophysiology, 31, 291-308.
82. Luck, S. J., & Kappenman, E. S. (Eds.). (2012). The Oxford handbook of event-related potential components (pp. 654-664). New York, NY: Oxford University Press.
83. Luck, S. J., Woodman, G. F., & Vogel, E. K. (2000). Event-related potential studies of attention. Trends in Cognitive Sciences, 4, 432-440.
84. Makeig, S., Westerfield, M., Jung, T. P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002). Dynamic brain sources of visual evoked responses. Science, 295(5555), 690-694.
85. Mangun, G. R. (1995). Neural mechanisms of visual selective attention. Psychophysiology, 32, 4-18.
86. Mathalon, D. H., Whitfield S. L., & Ford J. M. (2003). Anatomy of an error: ERP and fMRI. Biological Psychology, 64(1-2), 119-141.
87. Michel, C. M., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & Grave de Peralta, R. (2004). EEG source imaging. Clinical Neurophysiology, 115(10), 2195-2222.
88. Michel, C. M., & Murray, M. M. (2012). Towards the utilization of EEG as a brain imaging tool. Neuroimage, 61(2), 371-385.
89. Millán, J. D., Rupp, R., Müller-Putz, G. R., Murray-Smith, R., Giugliemma, C., Tangermann, M., Vidaurre, C., Cincotti, F., Kübler, A., Leeb, R., Neuper, C., Müller, K. R., & Mattia, D. (2010). Combining braincomputer interfaces and assistive technologies: State-of-the-art and challenges. Frontiers in Neuroscience, 4, 161.
90. Miller, K. J., denNijs, M., Shenoy, P., Miller, J. W., Rao, R. P., & Ojemann, J. G. (2007). Real-time functional brain mapping using electrocorticography. Neuroimage, 37, 504-507.
91. Miltner, W. H. R., Braun, C. H., & Coles, M. G. H. (1997). Event-related brain potentials following incorrect feedback in a time-estimation task: Evidence for a "generic" neural system for error-detection. Journal of Cognitive Neuroscience, 9, 788-798.
92. Minas, R. K., Potter, R. F., Dennis, A. R., Bartelt, V., & Bae, S. (2014). Putting on the thinking cap: Using NeuroIS to understand information processing biases in virtual teams. Journal of Management Information Systems, 30(4), 49-82.
93. Moore, M. M., Storey, V. C., & Randolph, A. B. (2005). User profiles for facilitating conversations with locked-in users. In Proceedings of the International Conference on Information Systems (pp. 923- 936).
94. Müller-Putz, G. R., Breitwieser, C., Cincotti, F., Leeb, R., Schreuder, M., Leotta, F., Tavella, M., Bianchi, L., Kreilinger, A., Ramsay, A., Rohm, M., Sagebaum, M., Tonin, L., Neuper, C., & Millán, J. R. (2011). Tools for brain-computer interaction: A general concept for a hybrid BCI. Frontiers in Neuroinformatics, 5(30), 1-10.
95. Müller-Putz, G. R., Scherer, R., Pfurtscheller, G., & Rupp, R. (2005). EEG-based neuroprosthesis control: A step towards clinical practice. Neuroscience Letters, 382, 169-174.
96. Müller-Putz, G. R., Scherer, R., Brunner, C., Leeb, R., & Pfurtscheller, G. (2008). Better than random? A closer look on BCI results. International Journal of Bioelectromagnetism, 10(1), 52-55.
97. Näätänen, R. (1995). The mismatch negativity: a powerful tool for cognitive neuroscience. Ear and Hearing, 16(1), 6-18.
98. Näätänen, R., Paavilainen, P., Titinen, H., Jiang, D., & Alho, K. (1993). Attention and mismatch negativity. Psychophysiology, 30(5), 436-450.
99. Niedermeyer, E (1997). Alpha rhythms as physiological and abnormal phenomena. International Journal of Psychophysiology, 26(1-3), 31-49.
100. Nieuwenhuis, S., Ridderinkhof, K. R., Blom, J., Band, G. P., & Kok, A. (2001). Error-related brain potentials are differentially related to awareness of response errors: Evidence from an antisaccade task. Psychophysiology, 38(5), 752-760.
101. Núñez-Peña, M. I., & Honrubia-Serrano, M. L. (2005). N400 and category exemplar associative strength. International Journal of Psychophysiology, 56, 45-54.
102. Nuwer, M. R., Lehmann, D., Lopes da Silva, F., Matsuoka, S., Sutherling, W., & Vibert, J. F. (1999). IFCN guidelines for topographic and frequency analysis of EEGs and EPs. The International Federation of Clinical Neurophysiology. Electroencephalography & Clinical Neurophysiology, 52, 15-20.
103. Okada Y. (1993). Empirical bases for constraints in current-imaging algorithms. Brain Topography, 5(4), 373-377.
104. Oostenveld, R., & Praamstra, P. (2001). The five percent electrode system for high-resolution EEG and ERP measurements. Clinical Neurophysiology, 112, 713-719.
105. Ortiz de Guinea, A., & Webster, J. (2013). An investigation of information systems use patterns: Technological events as triggers, the effects of time, and consequences for performance. MIS Quarterly, 37(4), 1165-1188.
106. Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994). Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. International Journal of Psychophysiology, 18(1), 49-65.
107. Pazo-Alvarez, P., Cadaveira, F., & Amenedo, E. (2003). MMN in the visual modality: A review. Biological Psychology, 63, 199-236.
108. Pfurtscheller, G., Allison, B. Z., Brunner, C., Bauernfeind, G., Solis-Escalante, T., Scherer, R., Zander, T. O., Müller-Putz, G. R., Neuper, C., & Birbaumer, N. (2010). The hybrid BCI. Frontiers in Neuroscience, 4, 42.
109. Pfurtscheller, G., & Aranibar, A. (1977). Event-related cortical desynchronization detected by power measurements of scalp EEG. Electroencephalography and Clinical Neurophysiology, 42, 817-826.
110. Pfurtscheller, G., & Lopes da Silva, F. H. (1999). Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology, 110, 1842-1857.
111. Pfurtscheller, G., Stancak, A., Jr., & Neuper, C. (1996). Event-related synchronization (ERS) in the alpha band-an electrophysiological correlate of cortical idling: A review. International Journal of Psychophysiology, 24, 39-46.
112. Phillips, S., & Takeda, Y. (2009). An EEG/ERP study of efficient versus inefficient visual search. In N. A. Taatgen & H. van Rijin (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 383-388).
113. Picton, T. W., Alain, C., Otten, L., Ritter, W., & Achim, A. (2000b). Mismatch negativity: Different water in the same river. Audiology & Neuro Otology, 5, 111-139.
114. Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson Jr., R., Miller, G. A., Ritter, W., Ruchkin, D. S., Rugg, M. D., & Taylor, M. J. (2000a). Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria. Psychophysiology, 37(2), 127-152.
115. Pivik, R. T., Broughton, R. J., Coppola, R., Davidson, R. J., Fox, N., & Nuwer, M. R. (1993). Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. Psychophysiology, 30(6), 547-548.
116. rd ed.) (pp. 56-84). Cambridge: Cambridge University Press.
117. Pope, A. T., Bogart, E. H., & Bartolome, D. S. (1995). Biocybernetic system evaluates indices of operator engagement in automated task. Biological Psychology, 40(1-2), 187-195.
118. nd ed.). Amsterdam: Elsevier.
119. Randolph, A. B., Karmakar, S., & Jackson, M. M. (2006). Toward predicting control of a brain-computer interface. In Proceedings of the International Conference on Information Systems (pp. 803-812).
120. Regan, D. (1989). Human brain electrophysiology: evoked potentials and evoked magnetic fields in science and medicine. New York: Elsevier.
121. Riedl, R. (2009). Zum Erkenntnispotenzial der kognitiven Neurowissenschaften für die Wirtschaftsinformatik: Überlegungen anhand exemplarischer Anwendungen. NeuroPsychoEconomics, 4(1), 32-44.
122. Riedl, R. (2013). On the biology of technostress: Literature review and research agenda. DATA BASE for Advances in Information Systems, 44(1), 18-55.
123. Riedl, R., Banker, R. D., Benbasat, I., Davis, F. D., Dennis, A. R., Dimoka, A., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Müller-Putz, G., Pavlou, P. A., Straub, D. W., vom Brocke, J., & Weber, B. (2010a). On the foundations of NeuroIS: Reflections on the Gmunden Retreat 2009. Communications of the Association for Information Systems, 27, 243-264.
124. Riedl, R., Hubert, M., & Kenning, P. (2010b). Are there neural gender differences in online trust? An fMRI study on the perceived trustworthiness of eBay offers. MIS Quarterly, 34(2), 397-428.
125. Riedl, R., & Javor, A. (2012). The biology of trust: Integrating evidence from genetics, endocrinology, and functional brain imaging. Journal of Neuroscience, Psychology, and Economics, 5(2), 63-91.
126. Riedl, R., & Léger, P.-M. (Forthcoming). Fundamentals of NeuroIS: Information systems and the brain. Berlin: Springer.
127. Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2012). Technostress from a neurobiological perspective: System breakdown increases the stress hormone cortisol in computer users. Business & Information Systems Engineering, 4(2), 61-69.
128. Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2013). Computer breakdown as a stress factor during task completion under time pressure: Identifying gender differences based on skin conductance. Advances in Human-Computer Interaction.
129. Riedl, R., Mohr, P., Kenning, P., Davis, F., & Heekeren, H. (2014a). Trusting humans and avatars: A brain imaging study based on evolution theory. Journal of Management Information Systems, 30(4), 83- 113.
130. Riedl, R., Davis, F. D., & Hevner, A. R. (2014b). Towards a NeuroIS research methodology: Intensifying the discussion on methods, tools, and measurement. Journal of the Association for Information Systems, 15(10), i-xxxv.
131. Rippon, G. (2006). Electroencephalography. In C. Senior, T. Russel, & M. Gazzaniga (Eds.), Methods in mind (pp. 237-262). Cambridge: MIT Press.
132. Samar, V. J., Bopardikar, A., Rao, R., & Swartz, K. (1999). Wavelet analysis of neuroelectric waveforms: A conceptual tutorial. Brain and Language, 66(1), 7-60.
133. Scherg, M., & Von Cramon, D. (1986). Evoked dipole source potentials of the human auditory cortex. Electroencephalography & Clinical Neurophysiology, 65(5), 344-60.
134. th ed.). Philadelphia: Lippincott Williams & Wilkins.
135. Seeber, M., Scherer, R., Wagner, J., Solis Escalante, T., & Müller-Putz, G. (2014). EEG beta suppression and low gamma modulation are different elements of human upright walking. Frontiers in Human Neuroscience, 8(485).
136. Seyedmohammadmahdi, M., Pierre-Majorique, L., Sylvain, S., Fredette, M., Cameron, A. F., & Riedl, R. (2013). Investigating the effect of input device on memory retrieval: Evidence from theta and alpha band oscillations. In Proceedings of the Special Interest Group on Human-Computer Interaction.
137. Simon, M., Schmidt, E. A., Kincses, W. E., Fritzsche, M., Bruns, A., Aufmuth, C., Bogdan, M., Rosenstiel, W., & Schrauf, M. (2011). EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions. Clinical Neurophysiology, 122(6), 1168-1178.
138. Simmons, R. F., Graham, F. K., & Miles, M. A. (2001). On the relationship of the P3a and the novelty P3. Biological Psychology, 56, 207-218.
139. Speckmann, E., Elger, C. E., & Altrup, U. (1993). Neurophysiologic basis of the EEG. In E. Wyllie (Ed.), The treatment of epilepsy: Principles and practices (pp. 185-201). Philadelphia: Lea & Febiger.
140. Smith, M. E., & Gevins, A. (2005). Neurophysiologic monitoring of mental workload and fatigue during operation of a flight simulator. In J. A. Caldwell & N. J. Wesensten (Eds.), Proceedings of SPIE Defense and Security Symposium, Biomonitoring for Physiological and Cognitive Performance during Military Operations (pp. 116-126). Orlando: SPIE.
141. Steininger, K., Riedl, R., Roithmayr, F., and Mertens, P. (2009). Fads and trends in business and information systems engineering and information systems research: A comparative literature analysis. Business & Information Systems Engineering, 1(6), 411-428.
142. Sutton, S., Braren, M., Zublin, J., & John, E. (1965). Evoked potential correlates of stimulus uncertainty. Science, 150, 1187-1188.
143. Tams, S., Hill, K., Ortiz de Guinea, A., Thatcher, J., & Grover, V. (2014). NeuroIS-alternative or complement to existing methods? Illustrating the holistic effects of neuroscience and self-reported data in the context of technostress research. Journal of the Association for Information Systems, 15(10), 723-753.
144. Tomarken, A. J., Davidson, R. J., Wheeler, R. E., & Doss, R. C. (1992). Individual differences in anterior brain asymmetry and fundamental dimensions of emotion. Journal of Personality and Social Psychology, 62, 676-687.
145. Trimmel, M., & Huber, R. (1998). After-effects of human-computer interaction indicated by P300 of the event-related brain potential. Ergonomics, 41(5), 649-655.
146. van Schie, H. T., Mars, R. B., Coles, M. G. H., & Bekkering, H. (2004). Modulation of activity in medial frontal and motor cortices during error observation. Nature Neuroscience, 7, 549-554.
147. Vogel, E. K., & Luck, S. J. (2000). The visual N1 component as an index of a discrimination process. Psychophysiology, 37, 190-203.
148. vom Brocke, J., Riedl, R., & Léger, P.-M. (2013). Application strategies for neuroscience in information systems design science research. Journal of Computer Information Systems, 53(3), 1-13.
149. Wang, X., Ma, Q., & Wang, C. (2012). N400 as an index of uncontrolled categorization processing in brand extension. Neuroscience Letters, 525, 76-81.
150. Wheeler, R. E., Davidson, R. J., & Tomarken, A. J. (1993). Frontal brain asymmetry and emotional reactivity: A biological substrate of affective style. Psychophysiology, 30, 82-89.
151. Wolpaw, J. R, Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002). Braincomputer interfaces for communication and control. Clinical Neurophysiology, 113, 767-791.
152. Wolpaw, J. R., & Winter-Wolpaw, E. (Eds.). (2012). Brain-computer interfaces: Principles and practice. New York, NY: Oxford University Press.
153. Wolters, C. H., Grasedyck, L., & Hackbusch, W. (2004). Efficient computation of lead field bases and influence matrix for the FEM-based EEG and MEG inverse problem. Inverse Problems, 20(4), 1099-1116.
154. Wriessnegger, S. C., Freislederer, P., & Müller-Putz, G. R. (2013). Towards a "product design BCI" based on event-related potentials: Preliminary results and lessons learned. In Proceedings of the Gmunden Retreat on NeuroIS.
155. th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
156. Yilmaz, B., Korkmaz, S., Arslan, D. B., Güngör, E., & Asyali, M. H. (2014). Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies. Computer Methods and Programs in Biomedicine, 113, 705-713.