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Characterization of Independa...

Characterization of Independant Task Neural Correlates of Different Levels of Mental Workload

Last Updated: 2018-10-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Clinical Phase

Total Enrollment

19 participants

Study Classification

INTERVENTIONAL

Study Start Date

2014-12-31

Study Completion Date

2017-12-31

Brief Summary

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The goal is to identify neuro-physiological signatures at several levels of mental workload during the realisation of tasks, performed by all the subjects.

In parallel, there will be a methodological work consisting to develop the classification algorithms, predictives of these levels of mental workload in real time, in purpose to implement a passive brain-machine interface in the best interest of operators that accomplish complex tasks.

Mesures of electro-physiological activity will be recorded in order to approve states of charge in addition to behavioral performances.

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Detailed Description

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Conditions

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Healthy Volunteer

Study Design

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Allocation Method

Intervention Model

SINGLE_GROUP

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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Healthy volunteers

Adults healthy volunteers

Group Type OTHER

Electroencephalography and Electrocardiography

Intervention Type OTHER

Interventions

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Electroencephalography and Electrocardiography

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Signed informed consent
* Medical examination made before search involvement
* Between 20 and 40 years
* Right-handed
* Minimum study level : Baccalauréat
* Membership of the French social security
* Normal vision and hearing (or corrected to normal)

Exclusion Criteria

* Sujects included in a clinical or therapeutic trial in progress
* Vision or hearing essential disorder
* Neurological or neuropsychiatric pathology current or gone
* Drug treatment which could alter brain activity (antidepressants, benzodiazepine, lithium etc)
* Pregnant, parturient or breast feeding women
* All other category of protected people

Minimum Eligible Age

20 Years

Maximum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Laurent Verceuil, Doctor

Role: PRINCIPAL_INVESTIGATOR

Grenoble Hospital University

Locations

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UniversityHospitalGrenoble

La Tronche, , France

Site Status

Countries

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France

References

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Akerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci. 1990 May;52(1-2):29-37. doi: 10.3109/00207459008994241.

Reference Type BACKGROUND

PMID: 2265922 (View on PubMed)

Allison BZ, Polich J. Workload assessment of computer gaming using a single-stimulus event-related potential paradigm. Biol Psychol. 2008 Mar;77(3):277-83. doi: 10.1016/j.biopsycho.2007.10.014. Epub 2007 Nov 4.

Reference Type BACKGROUND

PMID: 18093717 (View on PubMed)

Antonenko, P., Paas, F., Grabner, R., & Gog, T. (2010). Using Electroencephalography to Measure Cognitive Load. Educational Psychology Review, 22, 425-438.

Reference Type BACKGROUND

Baldwin CL, Penaranda BN. Adaptive training using an artificial neural network and EEG metrics for within- and cross-task workload classification. Neuroimage. 2012 Jan 2;59(1):48-56. doi: 10.1016/j.neuroimage.2011.07.047. Epub 2011 Jul 30.

Reference Type BACKGROUND

PMID: 21835243 (View on PubMed)

Barachant, A. (2012) Commande robuste d'un effecteur par une interface cerveau-machine EEG asynchrone. (Unpublished doctoral dissertation). Université de Grenoble, Grenoble, France.

Reference Type BACKGROUND

Bashashati A, Fatourechi M, Ward RK, Birch GE. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J Neural Eng. 2007 Jun;4(2):R32-57. doi: 10.1088/1741-2560/4/2/R03. Epub 2007 Mar 27.

Reference Type BACKGROUND

PMID: 17409474 (View on PubMed)

Berka C, Levendowski DJ, Lumicao MN, Yau A, Davis G, Zivkovic VT, Olmstead RE, Tremoulet PD, Craven PL. EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviat Space Environ Med. 2007 May;78(5 Suppl):B231-44.

Reference Type BACKGROUND

PMID: 17547324 (View on PubMed)

Besserve, M., Martinerie, J., & Garnero, L. (2008). Non-invasive classification of cortical activities for brain computer interface: A variable selection approach (p. 1063-1066). IEEE.

Reference Type BACKGROUND

Brouwer AM, Hogervorst MA, van Erp JB, Heffelaar T, Zimmerman PH, Oostenveld R. Estimating workload using EEG spectral power and ERPs in the n-back task. J Neural Eng. 2012 Aug;9(4):045008. doi: 10.1088/1741-2560/9/4/045008. Epub 2012 Jul 25.

Reference Type BACKGROUND

PMID: 22832068 (View on PubMed)

Cain, B. (2007) "A review of the mental workload literature 1.0".

Reference Type BACKGROUND

Christensen JC, Estepp JR, Wilson GF, Russell CA. The effects of day-to-day variability of physiological data on operator functional state classification. Neuroimage. 2012 Jan 2;59(1):57-63. doi: 10.1016/j.neuroimage.2011.07.091. Epub 2011 Aug 5.

Reference Type BACKGROUND

PMID: 21840403 (View on PubMed)

Comstock, J. R., Jr., & Arnegard, R. J. (1992) The Multi-Attribute Task Battery for human operator workload and strategic behavior research (NASA TM-104174). Hampton, Virginia: NASA Langley Research Center.

Reference Type BACKGROUND

Dussault C, Jouanin JC, Philippe M, Guezennec CY. EEG and ECG changes during simulator operation reflect mental workload and vigilance. Aviat Space Environ Med. 2005 Apr;76(4):344-51.

Reference Type BACKGROUND

PMID: 15828633 (View on PubMed)

Fu, S. & Parasuraman, R. (2007) Event-related potentials (ERPs) in Neuroergonomics. . In Parasuraman, R. & Rizzo, M. (Eds), Neuroergonomics: The brain at work (pp. 15-31). New York, NY: Oxford University Press, Inc.

Reference Type BACKGROUND

George, L., & Lécuyer, A. (2010). An overview of research on " passive " brain-computer interfaces for implicit human-computer interaction. International Conference on Applied Bionics and Biomechanics (ICABB), Venice, Italy, October 14-16, 2010.

Reference Type BACKGROUND

Gevins A, Smith ME. Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. Cereb Cortex. 2000 Sep;10(9):829-39. doi: 10.1093/cercor/10.9.829.

Reference Type BACKGROUND

PMID: 10982744 (View on PubMed)

Gevins, A., & Smith, M. E. (2003). Neurophysiological measures of cognitive workload during human-computer interaction. Theoretical Issues in Ergonomics Science, 1, 113-131.

Reference Type BACKGROUND

Gevins, A. & Smith, M. E. (2007) Electroencephalography (EEG) in Neuroergnomics. In Parasuraman, R. & Rizzo, M. (Eds), Neuroergonomics: The brain at work (pp. 15-31). New York, NY: Oxford University Press, Inc.

Reference Type BACKGROUND

Gomarus HK, Althaus M, Wijers AA, Minderaa RB. The effects of memory load and stimulus relevance on the EEG during a visual selective memory search task: an ERP and ERD/ERS study. Clin Neurophysiol. 2006 Apr;117(4):871-84. doi: 10.1016/j.clinph.2005.12.008. Epub 2006 Jan 25.

Reference Type BACKGROUND

PMID: 16442346 (View on PubMed)

Graimann, B, Allison, B. & Pfurstscheller, G. (2010) Brain-computer interfaces: A gentle introduction. In Graimann, B, Allison, B. & Pfurstscheller, G. (Eds) Brain-computer interfaces: Revolutionizing human-computer interaction, (pp. 1-28), Berlin Heidelberg, Springer-Verlag.

Reference Type BACKGROUND

Grimes, D., Tan, D. S., Hudson, S. E., Shenoy, P., & Rao, R. P. N. (2008). Feasibility and pragmatics of classifying working memory load with an electroencephalograph (p. 835). ACM Press.

Reference Type BACKGROUND

Heger, D., Putze, F., & Schultz, T. (2010). Online workload recognition from EEG data during cognitive tests and human-machine interaction. KI 2010: Advances in Artificial Intelligence, 410-417.

Reference Type BACKGROUND

Henelius A, Hirvonen K, Holm A, Korpela J, Muller K. Mental workload classification using heart rate metrics. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:1836-9. doi: 10.1109/IEMBS.2009.5332602.

Reference Type BACKGROUND

PMID: 19963519 (View on PubMed)

Holland MK, Tarlow G. Blinking and mental load. Psychol Rep. 1972 Aug;31(1):119-27. doi: 10.2466/pr0.1972.31.1.119. No abstract available.

Reference Type BACKGROUND

PMID: 5055889 (View on PubMed)

Holm A, Lukander K, Korpela J, Sallinen M, Muller KM. Estimating brain load from the EEG. ScientificWorldJournal. 2009 Jul 14;9:639-51. doi: 10.1100/tsw.2009.83.

Reference Type BACKGROUND

PMID: 19618092 (View on PubMed)

Honal, M., & Schultz, T. (2008). Determine task demand from brain activity. In Proceedings of the 3rd International Conference on Bio-inspired Systems and Signal Processing.

Reference Type BACKGROUND

Kahol K, Smith M, Brandenberger J, Ashby A, Ferrara JJ. Impact of fatigue on neurophysiologic measures of surgical residents. J Am Coll Surg. 2011 Jul;213(1):29-34; discussion 34-6. doi: 10.1016/j.jamcollsurg.2011.03.028. Epub 2011 Apr 23.

Reference Type BACKGROUND

PMID: 21515080 (View on PubMed)

KIRCHNER WK. Age differences in short-term retention of rapidly changing information. J Exp Psychol. 1958 Apr;55(4):352-8. doi: 10.1037/h0043688. No abstract available.

Reference Type BACKGROUND

PMID: 13539317 (View on PubMed)

Kok A. On the utility of P3 amplitude as a measure of processing capacity. Psychophysiology. 2001 May;38(3):557-77. doi: 10.1017/s0048577201990559.

Reference Type BACKGROUND

PMID: 11352145 (View on PubMed)

Koles ZJ, Flor-Henry P. Mental activity and the e.e.g.: task and workload related effects. Med Biol Eng Comput. 1981 Mar;19(2):185-94. doi: 10.1007/BF02442714. No abstract available.

Reference Type BACKGROUND

PMID: 7266099 (View on PubMed)

D. Levendowsk, Z. Konstantinovic, R. Olmstead, and C. Berka (2000). Method for the quantification of human alertness, patent.

Reference Type BACKGROUND

Lotte F, Congedo M, Lecuyer A, Lamarche F, Arnaldi B. A review of classification algorithms for EEG-based brain-computer interfaces. J Neural Eng. 2007 Jun;4(2):R1-R13. doi: 10.1088/1741-2560/4/2/R01. Epub 2007 Jan 31.

Reference Type BACKGROUND

PMID: 17409472 (View on PubMed)

McDonald NJ, Soussou W. QUASAR's QStates cognitive gauge performance in the cognitive state assessment competition 2011. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6542-6. doi: 10.1109/IEMBS.2011.6091614.

Reference Type BACKGROUND

PMID: 22255838 (View on PubMed)

Miller MW, Rietschel JC, McDonald CG, Hatfield BD. A novel approach to the physiological measurement of mental workload. Int J Psychophysiol. 2011 Apr;80(1):75-8. doi: 10.1016/j.ijpsycho.2011.02.003. Epub 2011 Feb 20.

Reference Type BACKGROUND

PMID: 21320552 (View on PubMed)

Missonnier P, Deiber MP, Gold G, Millet P, Gex-Fabry Pun M, Fazio-Costa L, Giannakopoulos P, Ibanez V. Frontal theta event-related synchronization: comparison of directed attention and working memory load effects. J Neural Transm (Vienna). 2006 Oct;113(10):1477-86. doi: 10.1007/s00702-005-0443-9. Epub 2006 Apr 11.

Reference Type BACKGROUND

PMID: 16604309 (View on PubMed)

Natani, K., & Gomer, F. E. (1981). Electrocortical activity and operator workload: A comparison of changes in the electroencephalogram and in event-related potentials. (McDonnell Douglas Technical Report E2427). Long Beach, CA: McDonnell Douglas Corporation.

Reference Type BACKGROUND

Nourbakhsh, N., Wang, Y., & Chen, F. (2013). GSR and Blink Features for Cognitive Load Classification. In P. Kotzé, G. Marsden, G. Lindgaard, J. Wesson, & M. Winckler (Éd.), Human-Computer Interaction - INTERACT 2013 (Vol. 8117, p. 159-166). Berlin, Heidelberg: Springer Berlin Heidelberg.

Reference Type BACKGROUND

Ossandon T, Jerbi K, Vidal JR, Bayle DJ, Henaff MA, Jung J, Minotti L, Bertrand O, Kahane P, Lachaux JP. Transient suppression of broadband gamma power in the default-mode network is correlated with task complexity and subject performance. J Neurosci. 2011 Oct 12;31(41):14521-30. doi: 10.1523/JNEUROSCI.2483-11.2011.

Reference Type BACKGROUND

PMID: 21994368 (View on PubMed)

Putze, F., Jarvis, J. P., & Schultz, T. (2010) Multimodal Recognition of Cognitive Workload for Multitasking in the Car. International Conference on Pattern Recognition (ICPR), 20, 3748-3751.

Reference Type BACKGROUND

Schober F, Schellenberg R, Dimpfel W. Reflection of mental exercise in the dynamic quantitative topographical EEG. Neuropsychobiology. 1995;31(2):98-112. doi: 10.1159/000119179.

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PMID: 7760991 (View on PubMed)

Schultheis, H. & Jameson, A. (2004) Assessing Cognitive Load in Adaptive Hypermedia Systems: Physiological and Behavioral Methods. Lecture Notes in Computer Science, 313, 225-234.

Reference Type BACKGROUND

Sternberg S. High-speed scanning in human memory. Science. 1966 Aug 5;153(3736):652-4. doi: 10.1126/science.153.3736.652.

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PMID: 5939936 (View on PubMed)

Sternberg S. Memory-scanning: mental processes revealed by reaction-time experiments. Am Sci. 1969 Winter;57(4):421-57. No abstract available.

Reference Type BACKGROUND

PMID: 5360276 (View on PubMed)

Tanaka Y, Yamaoka K. Blink activity and task difficulty. Percept Mot Skills. 1993 Aug;77(1):55-66. doi: 10.2466/pms.1993.77.1.55.

Reference Type BACKGROUND

PMID: 8367265 (View on PubMed)

Tremoulet, P. D., Craven, P. L., Regli, S. H., Wilcox, S., Barton, J., Stibler and K., Clark, M. (2009). Workload-Based Assessment of a User Interface Design. In V. G. Duffy (Éd.), Digital Human Modeling (Vol. 5620, p. 333-342). Berlin, Heidelberg: Springer Berlin Heidelberg.

Reference Type BACKGROUND

Veltman JA, Gaillard AW. Physiological indices of workload in a simulated flight task. Biol Psychol. 1996 Feb 5;42(3):323-42. doi: 10.1016/0301-0511(95)05165-1.

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Wang Z, Hope RM, Wang Z, Ji Q, Gray WD. Cross-subject workload classification with a hierarchical Bayes model. Neuroimage. 2012 Jan 2;59(1):64-9. doi: 10.1016/j.neuroimage.2011.07.094. Epub 2011 Aug 16.

Reference Type BACKGROUND

PMID: 21867763 (View on PubMed)

Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin Neurophysiol. 2002 Jun;113(6):767-91. doi: 10.1016/s1388-2457(02)00057-3.

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Zander, T.O., Kothe, C., Jatzev, S. & Gaertner, M. (2010) Enhancing human-computer interaction with input from active and passive brain-computer interfaces. In Tan, D.S. & Nijholt, A. (Eds) Brain-computer interfaces: Applying our minds to human-computer interaction (pp. 181-196), London, Springer-Verlag.

Reference Type BACKGROUND

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

38RC14.009

Identifier Type: -

Identifier Source: org_study_id

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Characterization of Independant Task Neural Correlates of Different Levels of Mental Workload

Study Results

Basic Information

Brief Summary

Related Clinical Trials

Tracking Information Flow in the Brain

Development of MRI Protocols and Associated Explorations (EEG, NIRS) in Healthy Volunteers

Development of MRI Protocols and Associated Explorations (EEG, NIRS) in Voluntary Patients

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Detailed Description

Conditions

Study Design

Study Groups

Healthy volunteers

Electroencephalography and Electrocardiography

Interventions

Electroencephalography and Electrocardiography

Eligibility Criteria

Inclusion Criteria

Exclusion Criteria

Sponsors

University Hospital, Grenoble

Responsible Party

Principal Investigators

Laurent Verceuil, Doctor

Locations

UniversityHospitalGrenoble

Countries

References

Akerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci. 1990 May;52(1-2):29-37. doi: 10.3109/00207459008994241.

Allison BZ, Polich J. Workload assessment of computer gaming using a single-stimulus event-related potential paradigm. Biol Psychol. 2008 Mar;77(3):277-83. doi: 10.1016/j.biopsycho.2007.10.014. Epub 2007 Nov 4.

Antonenko, P., Paas, F., Grabner, R., & Gog, T. (2010). Using Electroencephalography to Measure Cognitive Load. Educational Psychology Review, 22, 425-438.

Baldwin CL, Penaranda BN. Adaptive training using an artificial neural network and EEG metrics for within- and cross-task workload classification. Neuroimage. 2012 Jan 2;59(1):48-56. doi: 10.1016/j.neuroimage.2011.07.047. Epub 2011 Jul 30.

Barachant, A. (2012) Commande robuste d'un effecteur par une interface cerveau-machine EEG asynchrone. (Unpublished doctoral dissertation). Université de Grenoble, Grenoble, France.

Bashashati A, Fatourechi M, Ward RK, Birch GE. A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals. J Neural Eng. 2007 Jun;4(2):R32-57. doi: 10.1088/1741-2560/4/2/R03. Epub 2007 Mar 27.

Berka C, Levendowski DJ, Lumicao MN, Yau A, Davis G, Zivkovic VT, Olmstead RE, Tremoulet PD, Craven PL. EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviat Space Environ Med. 2007 May;78(5 Suppl):B231-44.

Besserve, M., Martinerie, J., & Garnero, L. (2008). Non-invasive classification of cortical activities for brain computer interface: A variable selection approach (p. 1063-1066). IEEE.

Brouwer AM, Hogervorst MA, van Erp JB, Heffelaar T, Zimmerman PH, Oostenveld R. Estimating workload using EEG spectral power and ERPs in the n-back task. J Neural Eng. 2012 Aug;9(4):045008. doi: 10.1088/1741-2560/9/4/045008. Epub 2012 Jul 25.

Cain, B. (2007) "A review of the mental workload literature 1.0".

Christensen JC, Estepp JR, Wilson GF, Russell CA. The effects of day-to-day variability of physiological data on operator functional state classification. Neuroimage. 2012 Jan 2;59(1):57-63. doi: 10.1016/j.neuroimage.2011.07.091. Epub 2011 Aug 5.

Comstock, J. R., Jr., & Arnegard, R. J. (1992) The Multi-Attribute Task Battery for human operator workload and strategic behavior research (NASA TM-104174). Hampton, Virginia: NASA Langley Research Center.

Dussault C, Jouanin JC, Philippe M, Guezennec CY. EEG and ECG changes during simulator operation reflect mental workload and vigilance. Aviat Space Environ Med. 2005 Apr;76(4):344-51.

Fu, S. & Parasuraman, R. (2007) Event-related potentials (ERPs) in Neuroergonomics. . In Parasuraman, R. & Rizzo, M. (Eds), Neuroergonomics: The brain at work (pp. 15-31). New York, NY: Oxford University Press, Inc.

George, L., & Lécuyer, A. (2010). An overview of research on " passive " brain-computer interfaces for implicit human-computer interaction. International Conference on Applied Bionics and Biomechanics (ICABB), Venice, Italy, October 14-16, 2010.

Gevins A, Smith ME. Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. Cereb Cortex. 2000 Sep;10(9):829-39. doi: 10.1093/cercor/10.9.829.

Gevins, A., & Smith, M. E. (2003). Neurophysiological measures of cognitive workload during human-computer interaction. Theoretical Issues in Ergonomics Science, 1, 113-131.

Gevins, A. & Smith, M. E. (2007) Electroencephalography (EEG) in Neuroergnomics. In Parasuraman, R. & Rizzo, M. (Eds), Neuroergonomics: The brain at work (pp. 15-31). New York, NY: Oxford University Press, Inc.

Gomarus HK, Althaus M, Wijers AA, Minderaa RB. The effects of memory load and stimulus relevance on the EEG during a visual selective memory search task: an ERP and ERD/ERS study. Clin Neurophysiol. 2006 Apr;117(4):871-84. doi: 10.1016/j.clinph.2005.12.008. Epub 2006 Jan 25.

Graimann, B, Allison, B. & Pfurstscheller, G. (2010) Brain-computer interfaces: A gentle introduction. In Graimann, B, Allison, B. & Pfurstscheller, G. (Eds) Brain-computer interfaces: Revolutionizing human-computer interaction, (pp. 1-28), Berlin Heidelberg, Springer-Verlag.

Grimes, D., Tan, D. S., Hudson, S. E., Shenoy, P., & Rao, R. P. N. (2008). Feasibility and pragmatics of classifying working memory load with an electroencephalograph (p. 835). ACM Press.

Heger, D., Putze, F., & Schultz, T. (2010). Online workload recognition from EEG data during cognitive tests and human-machine interaction. KI 2010: Advances in Artificial Intelligence, 410-417.

Henelius A, Hirvonen K, Holm A, Korpela J, Muller K. Mental workload classification using heart rate metrics. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:1836-9. doi: 10.1109/IEMBS.2009.5332602.

Holland MK, Tarlow G. Blinking and mental load. Psychol Rep. 1972 Aug;31(1):119-27. doi: 10.2466/pr0.1972.31.1.119. No abstract available.

Holm A, Lukander K, Korpela J, Sallinen M, Muller KM. Estimating brain load from the EEG. ScientificWorldJournal. 2009 Jul 14;9:639-51. doi: 10.1100/tsw.2009.83.

Honal, M., & Schultz, T. (2008). Determine task demand from brain activity. In Proceedings of the 3rd International Conference on Bio-inspired Systems and Signal Processing.

Kahol K, Smith M, Brandenberger J, Ashby A, Ferrara JJ. Impact of fatigue on neurophysiologic measures of surgical residents. J Am Coll Surg. 2011 Jul;213(1):29-34; discussion 34-6. doi: 10.1016/j.jamcollsurg.2011.03.028. Epub 2011 Apr 23.

KIRCHNER WK. Age differences in short-term retention of rapidly changing information. J Exp Psychol. 1958 Apr;55(4):352-8. doi: 10.1037/h0043688. No abstract available.

Kok A. On the utility of P3 amplitude as a measure of processing capacity. Psychophysiology. 2001 May;38(3):557-77. doi: 10.1017/s0048577201990559.

Koles ZJ, Flor-Henry P. Mental activity and the e.e.g.: task and workload related effects. Med Biol Eng Comput. 1981 Mar;19(2):185-94. doi: 10.1007/BF02442714. No abstract available.

D. Levendowsk, Z. Konstantinovic, R. Olmstead, and C. Berka (2000). Method for the quantification of human alertness, patent.

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Other Identifiers

38RC14.009

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