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29-12-2023 | Review Article

The use of the eye-fixation-related potential to investigate visual perception in professional domains with high attentional demand: a literature review

Authors: Vicente Luis del Campo, Juan Francisco Ortega Morán, Víctor Martínez Cagigal, Jesús Morenas Martín, J. Blas Pagador, Roberto Hornero

Published in: Neurological Sciences | Issue 5/2024

Abstract

Introduction

Visual attention is a cognitive skill related to visual perception and neural activity, and also moderated by expertise, in time-constrained professional domains (e.g., aviation, driving, sport, surgery). However, the contribution of both perceptual and neural processes on performance has been studied separately in the literature.

Development

We defend an integration of visual and neural signals to offer a more complete picture of the visual attention displayed by professionals of different skill levels when performing free-viewing tasks. Specifically, we propose to zoom the analysis in data related to the quiet eye and P300 component jointly, as a novel signal processing approach to evaluate professionals’ visual attention.

Conclusion

This review highlights the advantages of using portable eye trackers and electroencephalogram systems altogether, as a promising technique for a better understanding of early cognitive components related to attentional processes. Altogether, the eye-fixation-related potentials method may provide a better understanding of the cognitive mechanisms employed by the participants in natural settings, revealing what visual information is of interest for participants and distinguishing the neural bases of visual attention between targets and non-targets whenever they perceive a stimulus during free viewing experiments.

Graphical Abstract

Brams S, Ziv G, Levin O, Spitz J, Wagemans J, Williams AM et al (2019) The relationship between gaze behavior, expertise, and performance: a systematic review. Psychol Bull 145(10):980–1027. https://doi.org/10.1037/bul0000207CrossRefPubMed

Gegenfurtner A, Lehtinen E, Säljö R (2011) Expertise differences in the comprehension of visualizations: a meta-analysis of eye-tracking research in professional domains. Educ Psychol Rev 23(4):523–552. https://doi.org/10.1007/s10648-011-9174-7CrossRef

Hannah TC, Turner D, Kellner R, Bederson J, Putrino D, Kellner CP (2022) Neuromonitoring correlates of expertise level in surgical performers: a systematic review. Front Hum Neurosci 16:705238. https://doi.org/10.3389/fnhum.2022.705238CrossRefPubMedPubMedCentral

Hill NM, Schneider W (2006) Brain changes in the development of expertise: neuroanatomical and neurophysiological evidence about skill-based adaptations. In: Ericsson KA, Charness N, Feltovich PJ, Hoffman RR (eds) The Cambridge handbook of expertise and expert performance, pp 653–682. Cambridge University Press. https://doi.org/10.1017/CBO9780511816796.037

Lappi O (2015) The racer’s brain - how domain expertise is reflected in the neural substrates of driving. Front Hum Neurosci 9:635. https://doi.org/10.3389/fnhum.2015.00635CrossRefPubMedPubMedCentral

Li L, Smith DM (2021) Neural efficiency in athletes: a systematic review. Front Behav Neurosci 15:698555. https://doi.org/10.3389/fnbeh.2021.698555CrossRefPubMedPubMedCentral

Sestito M, Harel A, Nador J, Flach J (2018) Investigating neural sensorimotor mechanisms underlying flight expertise in pilots: preliminary data from an EEG study. Front Hum Neurosci 12:489. https://doi.org/10.3389/fnhum.2018.00489CrossRefPubMedPubMedCentral

Baker J, Young B (2014) 20 years later: deliberate practice and the development of expertise in sport. Internat Rev Sport Exercise Psychol 7(1):135–157. https://doi.org/10.1080/1750984X.2014.896024CrossRef

Cook JA, Elders A, Boachie C, Bassinga T, Fraser C, Altman DG et al (2015) A systematic review of the use of an expertise-based randomised controlled trial design. Trials 16:241. https://doi.org/10.1186/s13063-015-0739-5CrossRefPubMedPubMedCentral

10.

Crundall DE, Underwood G (1998) Effects of experience and processing demands on visual information acquisition in drivers. Ergon 41(4):448–458. https://doi.org/10.1080/001401398186937CrossRef

11.

Taylor JL, Kennedy Q, Noda A, Yesavage JA (2007) Pilot age and expertise predict flight simulator performance: a 3-year longitudinal study. Neurol 68(9):648–654. https://doi.org/10.1212/01.wnl.0000255943.10045.c0CrossRef

12.

Vickers JN (2007) Perception, cognition, and decision training: the quiet eye in action. Human Kinetics, Champaign, IL

13.

Moore T (2006) The neurobiology of visual attention: finding sources. Curr Opin Neurobiol 16(2):159–165. https://doi.org/10.1016/j.conb.2006.03.009CrossRefPubMed

14.

Brouwer AM, Hogervorst MA, Oudejans B, Ries AJ, Touryan J (2017) EEG and eye tracking signatures of target encoding during structured visual search. Front Hum Neurosci 11:264. https://doi.org/10.3389/fnhum.2017.00264CrossRefPubMedPubMedCentral

15.

Anderson DE, Bhatt VR, Schmid K, Lunning M, Holstein SA, Rizzo M (2018) Electrophysiological measure of impaired information processing in drivers with hematological malignancy. Transp Res Rec 2672(37):64–73. https://doi.org/10.1177/0361198118791666CrossRefPubMedPubMedCentral

16.

Léger PM, Sénécal S, Courtemanche F, Ortiz de Guinea A, Titah R, Fredette M et al (2014) Precision is in the eye of the beholder: application of eye fixation-related potentials to information systems research. J Assoc Inf Syst 5(10):651–678. https://doi.org/10.17705/1jais.00376CrossRef

17.

Posner MI (2012) Attention in a social world. Oxford University Press, New York, NY. https://doi.org/10.1146/annurev-neuro-062111-150525CrossRef

18.

Parasuraman R, Rizzo M (2008) Neuroergonomics: the brain at work. Oxford University Press, New York, NY

19.

Nuthmann A, Henderson JM (2010) Object-based attentional selection in scene viewing. J Vis 10(8):20. https://doi.org/10.1167/10.8.20CrossRefPubMed

20.

Itti L, Koch C, Niebur E (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Pattern Anal Mach Intell 20(11):1254–1259. https://doi.org/10.1109/34.730558CrossRef

21.

Stoll J, Thrun M, Nuthmann A, Einhäuser W (2015) Overt attention in natural scenes: objects dominate features. Vis Res 107:36–48. https://doi.org/10.1016/j.visres.2014.11.006CrossRefPubMed

22.

Wu CC, Wick FA, Pomplun M (2014) Guidance of visual attention by semantic information in real-world scenes. Front Psychol 5:54. https://doi.org/10.3389/fpsyg.2014.00054CrossRefPubMedPubMedCentral

23.

Posner MI, Petersen SE (1990) The attention system of the human brain. Annu Rev Neurosci 13:25–42. https://doi.org/10.1146/annurev.ne.13.030190.000325CrossRefPubMed

24.

Buschman TJ, Miller EK (2007) Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science 315(5820):1860–1862. https://doi.org/10.1126/science.1138071CrossRefPubMed

25.

Posner MI, Snyder CR, Davidson BJ (1980) Attention and the detection of signals. J Exp Psychol 109(2):160–174. https://doi.org/10.1037/0096-3445.109.2.160CrossRefPubMed

26.

Bisley JW (2011) The neural basis of visual attention. J Physiol 589(1):49–57. https://doi.org/10.1113/jphysiol.2010.192666CrossRefPubMed

27.

Eckstein MP (2011) Visual search: a retrospective J Vis 11(5):14. https://doi.org/10.1167/11.5.14CrossRefPubMed

28.

Treisman AM, Gelade G (1980) A feature-integration theory of attention. Cogn Psychol 12(1):97–136. https://doi.org/10.1016/0010-0285(80)90005-5CrossRefPubMed

29.

Chelazzi L, Biscaldi M, Corbetta M, Perua A, Tassinari G, Berlucchi G (1995) Oculomotor activity and visual spatial attention. Behav Brain Res 71(1–2):81–88. https://doi.org/10.1016/0166-4328(95)00134-4CrossRefPubMed

30.

Rizzolatti G, Riggio L, Dascola I, Umilta C (1987) Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychol 25:31–40. https://doi.org/10.1016/0028-3932(87)90041-8CrossRef

31.

Fluharty M, Jentzsch I, Spitschan M, Vishwanath D (2017) Eye fixation during multiple object attention is based on a representation of discrete spatial foci. Sci Rep 7:46777. https://doi.org/10.1038/srep31832CrossRefPubMedPubMedCentral

32.

Thomas RP, Lawrence A (2018) Assessment of expert performance compared across professional domains. J Appl Res Mem Cogn 7(2):167–176. https://doi.org/10.1016/j.jarmac.2018.03.009CrossRef

33.

Henderson JM (2003) Human gaze control during real-world scene perception. Trends Cogn Sci 7(11):498–504. https://doi.org/10.1016/j.tics.2003.09.006CrossRefPubMed

34.

Hayhoe M, Ballard D (2005) Eye movements in natural behavior. Trends Cogn Sci 9(4):188–194. https://doi.org/10.1016/j.tics.2005.02.009CrossRefPubMed

35.

Bertman R, Helle L, Kaakinen JK, Svedström E (2013) The effect of expertise on eye movement behaviour in medical image perception. Plos One 8(6):e66169. https://doi.org/10.1371/journal.pone.0066169CrossRef

36.

Skuballa IT, Jarodzka H (2022) Professional vision at the workplace illustrated by the example of teachers: an overview of most recent research methods and findings. In C Harteis, D Gijbels, E Kyndt, E (Eds) Research approaches on workplace learning insights from a growing field, 1 ed., pp 117–136. Springer, Cham. Professional and Practice-based Learning Vol. 31. https://doi.org/10.1007/978-3-030-89582-2_5

37.

Schriber-Orloff SN (2004) Learning re-enabled: a practical guide to helping children with learning disabilities. Mosby, Atlanta, Georgia

38.

Shimojo S, Paradiso M, Fujita I (2001) What visual perception tells us about mind and brain. Proc Natl Acad Sci 98(22):12340–12341. https://doi.org/10.1073/pnas.221383698CrossRefPubMedPubMedCentral

39.

Wexler M, van Boxtel JJA (2005) Depth perception by the active observer. Trends Cogn Sci 9(9):431–438. https://doi.org/10.1016/j.tics.2005.06.018CrossRefPubMed

40.

Rosenbaum DA (2010) Human motor control, 2nd edn. Academic Press/Elsevier, San Diego, CA

41.

Foulsham T (2015) Eye movements and their functions in everyday tasks. Eye 29:196–199. https://doi.org/10.1038/eye.2014.275CrossRefPubMed

42.

Flanagan JR, Johansson RS (2003) Action plans used in action observation. Nat 424(6950):769–771. https://doi.org/10.1038/nature01861CrossRef

43.

Pelz JB, Canosa R (2001) Oculomotor behavior and perceptual strategies in complex tasks. Vis Res 41(25–26):3587–3596. https://doi.org/10.1016/s0042-6989(01)00245-0CrossRefPubMed

44.

Carpenter RHS (1991) Eye movements. Macmillan, London

45.

Liu HC, Chuang HH (2010) An examination of cognitive processing of multimedia information based on viewers’ eye movements. Interact Learn Environ 19(5):503–517. https://doi.org/10.1080/10494820903520123CrossRef

46.

Gonzalez CC, Causer J, Miall RC, Grey MJ, Humphreys G, Williams AM (2017) Identifying the causal mechanisms of the quiet eye. Eur J Sport Sci 17(1):74–84. https://doi.org/10.1080/17461391.2015.1075595CrossRefPubMed

47.

Goodwin C (1994) Professional vision. Am Anthropol 96(3):606–633. https://doi.org/10.1525/aa.1994.96.3.02a00100CrossRef

48.

Krupinski EA, Tillack AA, Richter L, Henderson JT, Bhattacharyya AK, Scott KM et al (2006) Eye-movement study and human performance using telepathology virtual slides: implications for medical education and differences with experience. Hum Pathol 37:1543–1556. https://doi.org/10.1016/j.humpath.2006.08.024CrossRefPubMed

49.

Manning D, Ethell S, Donovan T, Crawford T (2006) How do radiologists do it? The influence of experience and training on searching for chest nodules. Radiogr 12:134–142. https://doi.org/10.1016/j.radi.2005.02.003CrossRef

50.

Underwood G, Chapman P, Brocklehurst N, Underwood J, Crundall D (2003) Visual attention while driving: sequences of eye fixations made by experienced and novice drivers. Ergon 46:629–646. https://doi.org/10.1080/0014013031000090116CrossRef

51.

Gómez-Valadés JM, Luis V, Reina R, Sabido R, Moreno FJ (2013) Visual search strategies in expert and novice drivers during the perception of driving scenes. An Psicol 29(1):272–278. https://doi.org/10.6018/analesps.29.1.132351CrossRef

52.

Tole JR, Stevens AT, Harris RL, Ephrath AR (1982) Visual scanning behavior and mental workload in aircraft pilots. Aviat Space Environ Med 53(1):54–61PubMed

53.

Causse M, Baracat B, Pastor J, Dehais F (2011) Reward and uncertainty favor risky decision-making in pilots: evidence from cardiovascular and oculometric measurements. Appl Psychophysiol Biofeedback 36(4):231–242. https://doi.org/10.1007/s10484-011-9163-0CrossRefPubMed

54.

Mann DT, Williams AM, Ward P, Janelle CM (2007) Perceptual-cognitive expertise in sport: a meta-analysis. J Sport Exerc Psychol 29(4):457–478. https://doi.org/10.1123/jsep.29.4.457CrossRefPubMed

55.

Vickers JN (1996) Visual control when aiming at a far target. J Exp Psychol Hum Percept Perform 22:342–354. https://doi.org/10.1037/0096-1523.22.2.342CrossRefPubMed

56.

Vickers JN (2011) Mind over muscle: the role of gaze control, spatial cognition, and the quiet eye in motor expertise. Cogn Process 12(3):219–222. https://doi.org/10.1007/s10339-011-0411-2CrossRefPubMed

57.

Vaeyens R, Lenoir M, Williams AM, Mazyn L, Philippaerts RM (2007) The effects of task constraints on visual search behavior and decision-making skill in youth soccer players. J Sport Exerc Psychol 29:156–175. https://doi.org/10.1123/jsep.29.2.147CrossRef

58.

Klostermann A, Kredel R, Hossner EJ (2013) The “quiet eye” and motor performance: task demands matter! J Exp Psychol: Hum Percept Perform 39:1270–1278. https://doi.org/10.1037/a0031499CrossRefPubMed

59.

Klostermann A, Kredel R, Hossner EJ (2018) Quiet eye and motor performance: the longer the better? J Sport Exerc Psychol 40(2):82–91. https://doi.org/10.1123/jsep.2017-0277CrossRefPubMed

60.

Causer J, Holmes PS, Smith NC, Williams AM (2011) Anxiety, movement kinematics, and visual attention in elite-level performers. Emotion 11(3):595–602. https://doi.org/10.1037/a0023225CrossRefPubMed

61.

Vine SJ, Moore LJ, Wilson MR (2011) Quiet eye training facilitates competitive putting performance in elite golfers. Front Psychol 2:1–9. https://doi.org/10.3389/fpsyg.2011.00008CrossRef

62.

Eysenck MW, Derakshan N, Santos R, Calvo MG (2007) Anxiety and cognitive performance: attentional control theory. Emot 7(2):336–353. https://doi.org/10.1037/1528-3542.7.2.336CrossRef

63.

Lebeau JC, Liu S, Sáenz-Moncaleano C, Sanduvete-Chaves S, Chacón-Moscoso S, Becker BJ et al (2016) Quiet eye and performance in sport: a meta-analysis. J Sport Exerc Psychol 38(5):441–457. https://doi.org/10.1123/jsep.2015-0123CrossRefPubMed

64.

Harvey A, Vickers JN, Snelgrove R, Scott MF, Morrison S (2014) Expert surgeon’s quiet eye and slowing down: expertise differences in performance and quiet eye duration during identification and dissection of the recurrent laryngeal nerve. Am J Surg 207(2):187–193. https://doi.org/10.1016/j.amjsurg.2013.07.033CrossRefPubMed

65.

Vickers J, Harvey A, Snelgrove R, Stewart A, Arsenault G, Mackenzie C (2015) Expertise differences in quiet eye duration and performance in surgical knot tying. Int J Sport Psychol 46(6):528–541. https://doi.org/10.7352/IJSP.2015.46.528CrossRef

66.

Causer J (2016) The future of quiet eye research – comment on Vickers. Curr Issues Sport Sci 1:103. https://doi.org/10.15203/CISS_2016.103CrossRef

67.

Vickers JN (2012) Neuroscience of the quiet eye in golf putting. Int J Golf Sci 1:2–9. https://doi.org/10.1123/ijgs.1.1.2CrossRef

68.

Vickers JN (2016) Origins and current issues in quiet eye research. Curr Issues Sport Sci 1:101. https://doi.org/10.15203/CISS_2016.101CrossRef

69.

Toni I, Passingham RE (2003) Movement preparation: neuroimaging studies. In Jahanshahi M, Hallett M (eds) The Bereitschaftspotential: Movement related cortical potentials pp 269–281. New York, Kluwer. https://doi.org/10.1007/978-1-4615-0189-3_16

70.

Mann DTY, Wright A, Janelle CM (2016) Quiet eye: the efficiency paradox – comment on Vickers. Curr Issues Sport Sci 1:111. https://doi.org/10.15203/CISS_2016.111CrossRef

71.

Klostermann A, Kredel R, Hossner EJ (2014) On the interaction of attentional focus and gaze: the quiet eye inhibits focus-related performance decrements. J Sport Exerc Psychol 36(4):392–400. https://doi.org/10.1123/jsep.2013-0273CrossRefPubMed

72.

Debarnot U, Sperduti M, Di Rienzo F, Guillot A (2014) Experts bodies, experts minds: how physical and mental training shape the brain. Front Hum Neurosci 8(280). https://doi.org/10.3389/fnhum.2014.00280

73.

Hatfield B (2018) Brain dynamics and motor behavior: a case for efficiency and refinement for superior performance. Kinesiol Rev 7:1–9. https://doi.org/10.1123/kr.2017-0056CrossRef

74.

Thompson T, Steffert T, Ros T, Leach J, Gruzelier J (2008) EEG applications for sport and performance. Methods 45:279–288. https://doi.org/10.1016/j.ymeth.2008.07.006CrossRefPubMed

75.

Niedermeyer E, da Silva FL (1982) Electroencephalography: basic principles, clinical applications, and related fields. Baltimore, MD; Munich: Urban & Scwarzenberg

76.

Pizzagalli DA, Oakes TR, Davidson RJ (2003) Coupling of theta activity and glucose metabolism in the human rostral anterior cingulate cortex: an EEG/PET study of normal and depressed subjects. Psychophysiol 40(6):939–949. https://doi.org/10.1111/1469-8986.00112CrossRef

77.

Cheron G, Petit G, Cheron J, Leroy A, Cebolla A, Cevallos C et al (2016) Brain oscillations in sport: toward EEG biomarkers of performance. Front Psychol 7:246. https://doi.org/10.3389/fpsyg.2016.00246CrossRefPubMedPubMedCentral

78.

Wolpaw J, Wolpaw EW (2012) Brain-computer interfaces: principles and practice. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195388855.003.0001CrossRef

79.

Hegdé J (2008) Time course of visual perception: coarse-to-fine processing and beyond. Prog Neurobiol 84(4):405–439. https://doi.org/10.1016/j.pneurobio.2007.09.001CrossRefPubMed

80.

Thigpen NN, Kappenman ES, Keil A (2017) Assessing the internal consistency of the event-related potential: an example analysis. Psychophysiol 54(1):123–138. https://doi.org/10.1111/psyp.12629CrossRef

81.

Rietdijk WJR, Franken IHA, Thurik AR (2014) Internal consistency of event-related potentials associated with cognitive control: N2/P3 and ERN/Pe. PLoS ONE 9(7):3–9. https://doi.org/10.1371/journal.pone.0102672CrossRef

82.

Martínez-Cagigal V, Santamaría-Vázquez E, Gomez-Pilar J, Hornero R (2019) Towards an accessible use of smartphone-based social networks through brain-computer interfaces. Expert Syst Appl 120:155–166. https://doi.org/10.1016/j.eswa.2018.11.026CrossRef

83.

Martínez-Cagigal V, Gomez-Pilar J, Álvarez D, Hornero R (2017) An asynchronous P300-based Brain-Computer Interface web browser for severely disabled people. IEEE Trans Neural Syst Rehabil Eng 25(8):1332–1342. https://doi.org/10.1109/TNSRE.2016.2623381CrossRefPubMed

84.

Santamaría-Vázquez E, Martínez-Cagigal V, Vaquerizo-Villar F, Hornero R (2020) EEG-inception: a novel deep convolutional neural network for assistive ERP-Based Brain-Computer Interfaces. IEEE Trans Neural Syst Rehabil Eng 28(12):2773–2782. https://doi.org/10.1109/TNSRE.2020.3048106CrossRefPubMed

85.

American Clinical Neurophysiology Society (2008) Guidelines on Visual Evoked Potentials. [Online]. Available. https://www.acns.org/pdf/guidelines/Guideline-9B.pdf

86.

Odom JV, Bach M, Brigell M, Holder GE, McCulloch DL, Mizota A et al (2016) ISCEV standard for clinical visual evoked potentials: (2016 update). Doc Ophthalmol 133(1):1–9. https://doi.org/10.1007/s10633-016-9553-yCrossRefPubMed

87.

Dambacher M, Kliegl R (2007) Synchronizing timelines: relations between fixation durations and N400 amplitudes during sentence reading. Brain Res 1155:147–162. https://doi.org/10.1016/j.brainres.2007.04.027CrossRefPubMed

88.

Polich J (2007) Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol 118(10):1–41. https://doi.org/10.1016/j.clinph.2007.04.019CrossRef

89.

Duncan CC, Barry RJ, Connolly JF, Fischer C, Michie PT, Näätänen R et al (2009) Event-related potentials in clinical research: guidelines for eliciting, recording, and quantifying mismatch negativity, P300, and N400. Clin Neurophysiol 120(11):1883–1908. https://doi.org/10.1016/j.clinph.2009.07.045CrossRefPubMed

90.

Picton TW (1992) The P300 wave of the human event-related potential. J Clin Neurophysiol 9(4):456–479. https://doi.org/10.1097/00004691-199210000-00002CrossRefPubMed

91.

Scanlon J, Sieben AJ, Holyk KR, Mathewson KE (2017) Your brain on bikes: P3, MMN/N2b, and baseline noise while pedaling a stationary bike. Psychophysiol 54(6):927–937. https://doi.org/10.1111/psyp.12850CrossRef

92.

Zink R, Hunyadi B, Huffel SV, Vos MD (2016) Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks. J Neural Eng 13(4):046017. https://doi.org/10.1088/1741-2560/13/4/046017CrossRefPubMed

93.

Polich J (1986) Normal variation of P300 from auditory stimuli. Electroencephalogr Clin Neurophysiol 65(3):236–240. https://doi.org/10.1016/0168-5597(86)90059-6CrossRefPubMed

94.

Fabiani M, Gratton G, Karis D, Donchin E (1987) The definition, identification, and reliability of measurement of the P300 component of the event- related brain potential. In: Acides PK, Jennings JR, Coles MGH (eds), Advances in psychophysiology, Vol 2. Greenwich, Conn.: JAI Press.

95.

Kinoshita S, Inoue M, Maeda H, Nakamura J, Morita K (1996) Long-term patterns of change in ERPs across repeated measurements. Physiol Behav 60(4):1087–1092. https://doi.org/10.1016/0031-9384(96)00130-8CrossRefPubMed

96.

Ravden D, Polich J (1998) Habituation of P300 from visual stimuli. Int J Psychophysiol 30(3):359–365. https://doi.org/10.1016/S0167-8760(98)00039-7CrossRefPubMed

97.

Pan J, Takeshita T, Morimoto K (2000) P300 habituation from auditory single-stimulus and oddball paradigms. Int J Psychophysiol 37(2):149–153. https://doi.org/10.1016/S0167-8760(00)00086-6CrossRefPubMed

98.

Lin E, Polich J (1999) P300 habituation patterns: individual differences from ultradian rhythms. Percept Mot Skills 88(3):1111–1125. https://doi.org/10.2466/pms.1999.88.3c.1111CrossRefPubMed

99.

Kutas M, McCarthy G, Donchin E (1977) Augmenting mental chronometry: the P300 as a measure of stimulus evaluation time. Science 197(4305):792–795. https://doi.org/10.1126/science.887923CrossRefPubMed

100.

Bledowski C, Prvulovic D, Hoechstetter K, Scherg M, Wibral M, Goebel R et al (2004) Localizing P300 generators in visual target and distractor processing: a combined event-related potential and functional magnetic resonance imaging study. J Neurosci 24(42):9353–9360. https://doi.org/10.1523/JNEUROSCI.1897-04.2004CrossRefPubMedPubMedCentral

101.

Corbetta M, Kincade JM, Ollinger JM, McAvoy MP, Shulman GL (2000) Voluntary orienting is dissociated from target detection in human posterior parietal cortex. Nat Neurosci 3(3):292–297. https://doi.org/10.1038/73009CrossRefPubMed

102.

Hopfinger JB, Park EL (2012) Involuntary attention. In: Mangun GR (ed) The Neuroscience of Attention. Oxford University Press, New York, NY, pp 30–35CrossRef

103.

Devillez H, Guyader N, Guérin-Dugué A (2015) An eye fixation–related potentials analysis of the P300 potential for fixations onto a target object when exploring natural scenes. J Vis 15(13):20. https://doi.org/10.1167/15.13.20CrossRefPubMed

104.

Brouwer AM, Reuderink B, Vincent J, van Gerven MAJ, van Erp JBF (2013) Distinguishing between target and nontarget fixations in a visual search task using fixation-related potentials. J Vis 13(3):17. https://doi.org/10.1167/13.3.17CrossRefPubMed

105.

Polich J (2011) Neuropsychology of P300. In: Emily S, Kappenman S, Luck J (eds) The Oxford handbook of event-related potential components, pp 159–188. Oxford Library of Psychology. https://doi.org/10.1093/oxfordhb/9780195374148.013.0089

106.

Hruby T, Marsalek P (2002) Event-related potentials—the P3 wave. Acta Neurobiol Exp 63(1):55–63CrossRef

107.

Kaunitz LN, Kamienkowski JE, Varatharajah A, Sigman M, Quiroga RQ, Ison M (2014) Looking for a face in the crowd: fixation-related potentials in an eye-movement visual search task. Neuroimage 89:297–305. https://doi.org/10.1016/j.neuroimage.2013.12.006CrossRefPubMed

108.

Hutzler F, Braun M, Võ ML, Engl V, Hofmann M, Dambacher M et al (2007) Welcome to the real world: validating fixation-related brain potentials for ecologically valid settings. Brain Res 1172:124–129. https://doi.org/10.1016/j.brainres.2007.07.025CrossRefPubMed

109.

Rämä P, Baccino T (2010) Eye fixation–related potentials (EFRPs) during object identification. Vis Neurosci 27(5–6):187–192. https://doi.org/10.1017/S0952523810000283CrossRefPubMed

110.

Kamienkowski JE, Ison MJ, Quiroga RQ, Sigman M (2012) Fixation-related potentials in visual search: a combined EEG and eye tracking study. J Vis 12(7):4. https://doi.org/10.1167/12.7.4CrossRefPubMed

111.

Jung TP, Makeig S, Humphries C, Lee TW, McKeown MJ, Iragui V et al (2000) Removing electroencephalographic artifacts by blind source separation. Psychophysiol 37(2):163–178. https://doi.org/10.1111/1469-8986.3720163CrossRef

112.

Gratton G (1998) Dealing with artifacts: The EOG contamination of the event-related brain potential. Behav Res Methods, Instrum, Comput 30(1):44–53. https://doi.org/10.3758/BF03209415CrossRef

113.

Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134(1):9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009CrossRefPubMed

114.

Kobler RJ, Sburlea AI, Lopes-Dias C, Schwarz A, Hirata M, Müller-Putz GR (2020) Corneo-retinal-dipole and eyelid-related eye artifacts can be corrected offline and online in electroencephalographic and magnetoencephalographic signals. Neuroimage 218:117000. https://doi.org/10.1016/j.neuroimage.2020.117000CrossRefPubMed

115.

Delorme A (2023) EEG is better left alone. Sci Rep 13(1):1–12. https://doi.org/10.1038/s41598-023-27528-0CrossRef

116.

Baccino T, Manunta Y (2005) Eye-fixation-related potentials: insight into parafoveal processing. J Psychophysiol 19(3):204–215. https://doi.org/10.1027/0269-8803.19.3.204CrossRef

117.

Mann D, Coombes SA, Mousseau M, Janelle C (2011) Quiet eye and the Bereitschaftspotential: visuomotor mechanisms of expert motor performance. Cogn Process 12:223–234. https://doi.org/10.1007/s10339-011-0398-8CrossRefPubMed

118.

Takeda Y, Yoshitsugu N, Itoh K, Kanamori N (2012) Assessment of attentional workload while driving by eye-fixation-related potentials. Kansei Eng Int J 11(3):121–126. https://doi.org/10.5057/kei.11.121CrossRef

119.

Ossandón J, Helo A, Montefusco-Siegmund R, Maldonado P (2010) Superposition model predicts EEG occipital activity during free viewing of natural scenes. J Neurosci 30(13):4787–4795. https://doi.org/10.1523/JNEUROSCI.5769-09.2010CrossRefPubMedPubMedCentral

120.

Winslow B, Carpenter A, Flint JD, Wang X, Tomasetti D, Johnston M et al (2013) Combining EEG and eye tracking: using fixation-locked potentials in visual search. J Eye Mov Res 6(4). https://doi.org/10.16910/jemr.6.4.5

121.

Ladouce S, Mustile M, Dehais F (2021) Capturing cognitive events embedded in the real-world using mobile EEG and Eye-Tracking. J Cogn Neurosci 34(12):2237–2255. https://doi.org/10.1101/2021.11.30.470560CrossRef

Title: The use of the eye-fixation-related potential to investigate visual perception in professional domains with high attentional demand: a literature review
Authors: Vicente Luis del Campo
Juan Francisco Ortega Morán
Víctor Martínez Cagigal
Jesús Morenas Martín
J. Blas Pagador
Roberto Hornero
Publication date: 29-12-2023
Publisher: Springer International Publishing
Published in: Neurological Sciences / Issue 5/2024
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI: https://doi.org/10.1007/s10072-023-07275-w

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The use of the eye-fixation-related potential to investigate visual perception in professional domains with high attentional demand: a literature review

Abstract

Introduction

Development

Conclusion

Graphical Abstract

Other articles of this Issue 5/2024

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