Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Santana, S. T. O. D.; Silva, J. C. Da; Hatano, Y.; Guerrero-Mendez, C. D.; Souza, M. L. De; Igasaki, T.; Bastos-Filho, T.; Dantas, A. F. O. De Azevedo; Falk, T. H.; Delisle-Rodriguez, D.
Cognitive Training Using a Brain-Computer Interface for θ/β Ratio Self-Regulation - Preliminary Results with Long Covid-19 Survivors Proceedings Article
In: IEEE Int. Conf. Hum.-Mach. Syst., ICHMS, pp. 646–650, Institute of Electrical and Electronics Engineers Inc., 2026, ISBN: 979-833154511-6 (ISBN), (Journal Abbreviation: IEEE Int. Conf. Hum.-Mach. Syst., ICHMS).
Abstract | Links | BibTeX | Tags: 'current, Behavioral research, Brain, brain computer interface, Brain mapping, cognitive impairment, Cognitive skill, Cognitive systems, Cognitive training, Computer games, COVID-19, Electroencephalography, Electrophysiology, Executive Function, Interfaces (computer), Memory functions, Neurotechnology, Personnel training, Self regulation, Sustained attention, working memory
@inproceedings{santanaCognitiveTrainingUsing2026,
title = {Cognitive Training Using a Brain-Computer Interface for θ/β Ratio Self-Regulation - Preliminary Results with Long Covid-19 Survivors},
author = {S. T. O. D. Santana and J. C. Da Silva and Y. Hatano and C. D. Guerrero-Mendez and M. L. De Souza and T. Igasaki and T. Bastos-Filho and A. F. O. De Azevedo Dantas and T. H. Falk and D. Delisle-Rodriguez},
url = {https://www.scopus.com/pages/publications/105045602964?origin=resultslist},
doi = {10.1109/ICHMS69701.2026.11602366},
isbn = {979-833154511-6 (ISBN)},
year = {2026},
date = {2026-01-01},
booktitle = {IEEE Int. Conf. Hum.-Mach. Syst., ICHMS},
pages = {646–650},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Long COVID-19 can generate cognitive impairments, affecting a person's attention, working memory, and executive functions. Previous studies have suggested that therapies based on neurotechnologies can be used to recover cognitive skills. This current research presents an electroencephalography brain-computer interface based serious game for sustained attention training. The system classifies attention levels while the user controls the speed of a virtual car by self-regulating the θ/β power band ratio across multiple brain locations. Pilot experiments were conducted with two COVID-19 adult survivors who experienced cognitive decline due to long COVID19 symptoms. Participants underwent 10 sessions across consecutive working days (2 sessions × week). Both participants enhanced brain wave oscillations in both frontal and central regions, reducing theta activity and simultaneously increasing beta oscillations) after the training, achieving therefore healthy brain behavior during a cognitive attention task. Furthermore, both individuals improved cognitive skills, such as attention, working memory, and executive functions. These preliminary findings are promising and motivate the further development of multichannel neurofeedback systems for cognitive training for long COVID-19 survivors. © 2026 IEEE.},
note = {Journal Abbreviation: IEEE Int. Conf. Hum.-Mach. Syst., ICHMS},
keywords = {'current, Behavioral research, Brain, brain computer interface, Brain mapping, cognitive impairment, Cognitive skill, Cognitive systems, Cognitive training, Computer games, COVID-19, Electroencephalography, Electrophysiology, Executive Function, Interfaces (computer), Memory functions, Neurotechnology, Personnel training, Self regulation, Sustained attention, working memory},
pubstate = {published},
tppubtype = {inproceedings}
}
Long COVID-19 can generate cognitive impairments, affecting a person's attention, working memory, and executive functions. Previous studies have suggested that therapies based on neurotechnologies can be used to recover cognitive skills. This current research presents an electroencephalography brain-computer interface based serious game for sustained attention training. The system classifies attention levels while the user controls the speed of a virtual car by self-regulating the θ/β power band ratio across multiple brain locations. Pilot experiments were conducted with two COVID-19 adult survivors who experienced cognitive decline due to long COVID19 symptoms. Participants underwent 10 sessions across consecutive working days (2 sessions × week). Both participants enhanced brain wave oscillations in both frontal and central regions, reducing theta activity and simultaneously increasing beta oscillations) after the training, achieving therefore healthy brain behavior during a cognitive attention task. Furthermore, both individuals improved cognitive skills, such as attention, working memory, and executive functions. These preliminary findings are promising and motivate the further development of multichannel neurofeedback systems for cognitive training for long COVID-19 survivors. © 2026 IEEE.
2.
Jaberi, M.; Falk, T. H.
A Literature Survey on Potential Private User Information Leakage in Metaverse Applications Journal Article
In: Advanced Intelligent Systems, vol. 8, no. 1, 2026, ISSN: 26404567 (ISSN).
Abstract | Links | BibTeX | Tags: age, augmented reality, Brain, brain computer interface, Computer privacy, Data privacy, Electroencephalography, eye tracking, Gender, Haptic interfaces, Information leakage, Intelligent systems, Literature survey, metaverse, Metaverses, Neurophysiological signal, neurophysiological signals, Neurophysiology, Privacy, Private user information, Race, Signal analysis, User information, Virtual and augmented reality
@article{jaberiLiteratureSurveyPotential2026,
title = {A Literature Survey on Potential Private User Information Leakage in Metaverse Applications},
author = {M. Jaberi and T. H. Falk},
url = {https://www.scopus.com/pages/publications/105012929167?origin=resultslist},
doi = {10.1002/aisy.202500263},
issn = {26404567 (ISSN)},
year = {2026},
date = {2026-01-01},
journal = {Advanced Intelligent Systems},
volume = {8},
number = {1},
publisher = {John Wiley and Sons Inc},
abstract = {The Metaverse is revolutionizing various fields, including healthcare, education, social interaction, and the workplace. Commercial multisensory devices (e.g., smell diffusion and haptic technologies) are available, and virtual and augmented reality (VR/AR) headsets are increasingly integrated with brain–computer interfaces (BCI). These integrations enable adaptive, personalized virtual immersive experiences that are more engaging, interactive, and effective. As these applications become mainstream, concerns arise regarding the security and privacy of personal information. Recent studies demonstrate that users can be identified with high accuracy using the data monitored from sensors available in VR/AR headsets. This literature survey investigates the types of personal user information that can be inferred from BCI-instrumented headsets. In particular, it focuses on predicting age, gender, and ethnic/racial background from neurophysiological signals currently monitored by commercial devices. The survey highlights the predictive strength of electroencephalogram and electrocardiogram signal modalities, followed by eye tracking and iris scanning. It also considers future privacy risks posed by biometric and gesture-based monitoring using non-contact technologies such as computer vision and WiFi signal analysis. The survey concludes with recommendations for future research aimed at contributing to the development of robust frameworks that safeguard user privacy in the evolving Metaverse landscape. © 2025 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.},
keywords = {age, augmented reality, Brain, brain computer interface, Computer privacy, Data privacy, Electroencephalography, eye tracking, Gender, Haptic interfaces, Information leakage, Intelligent systems, Literature survey, metaverse, Metaverses, Neurophysiological signal, neurophysiological signals, Neurophysiology, Privacy, Private user information, Race, Signal analysis, User information, Virtual and augmented reality},
pubstate = {published},
tppubtype = {article}
}
The Metaverse is revolutionizing various fields, including healthcare, education, social interaction, and the workplace. Commercial multisensory devices (e.g., smell diffusion and haptic technologies) are available, and virtual and augmented reality (VR/AR) headsets are increasingly integrated with brain–computer interfaces (BCI). These integrations enable adaptive, personalized virtual immersive experiences that are more engaging, interactive, and effective. As these applications become mainstream, concerns arise regarding the security and privacy of personal information. Recent studies demonstrate that users can be identified with high accuracy using the data monitored from sensors available in VR/AR headsets. This literature survey investigates the types of personal user information that can be inferred from BCI-instrumented headsets. In particular, it focuses on predicting age, gender, and ethnic/racial background from neurophysiological signals currently monitored by commercial devices. The survey highlights the predictive strength of electroencephalogram and electrocardiogram signal modalities, followed by eye tracking and iris scanning. It also considers future privacy risks posed by biometric and gesture-based monitoring using non-contact technologies such as computer vision and WiFi signal analysis. The survey concludes with recommendations for future research aimed at contributing to the development of robust frameworks that safeguard user privacy in the evolving Metaverse landscape. © 2025 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.
3.
Brideau-Duquette, M.; Côté, S. S. -P.; Charbonneau, P.; Renaud, P.
When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny Proceedings Article
In: S., Itthipuripat; G.A., Ascoli; A., Li; N., Pat; H., Kuai (Ed.): Lect. Notes Comput. Sci., pp. 121–139, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-981963293-0 (ISBN), (Journal Abbreviation: Lect. Notes Comput. Sci.).
Abstract | Links | BibTeX | Tags: Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality
@inproceedings{brideau-duquette_when_2025,
title = {When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny},
author = {M. Brideau-Duquette and S. S. -P. Côté and P. Charbonneau and P. Renaud},
editor = {Itthipuripat S. and Ascoli G.A. and Li A. and Pat N. and Kuai H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002448490&doi=10.1007%2F978-981-96-3294-7_10&partnerID=40&md5=ced02f5a8061a51f213078ce6d6635f3},
doi = {10.1007/978-981-96-3294-7_10},
isbn = {03029743 (ISSN); 978-981963293-0 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15541 LNAI},
pages = {121–139},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.},
note = {Journal Abbreviation: Lect. Notes Comput. Sci.},
keywords = {Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
4.
Brideau-Duquette, M.; Côté, S. S. -P.; Charbonneau, P.; Renaud, P.
When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny Proceedings Article
In: S., Itthipuripat; G.A., Ascoli; A., Li; N., Pat; H., Kuai (Ed.): Lect. Notes Comput. Sci., pp. 121–139, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-981963293-0 (ISBN), (Journal Abbreviation: Lect. Notes Comput. Sci.).
Abstract | Links | BibTeX | Tags: Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality
@inproceedings{brideau-duquetteWhenSexyAvatars2025,
title = {When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny},
author = {M. Brideau-Duquette and S. S. -P. Côté and P. Charbonneau and P. Renaud},
editor = {Itthipuripat S. and Ascoli G.A. and Li A. and Pat N. and Kuai H.},
url = {https://www.scopus.com/pages/publications/105002448490?origin=resultslist},
doi = {10.1007/978-981-96-3294-7_10},
isbn = {03029743 (ISSN); 978-981963293-0 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15541 LNAI},
pages = {121–139},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.},
note = {Journal Abbreviation: Lect. Notes Comput. Sci.},
keywords = {Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
5.
Brideau-Duquette, M.; Côté, S. S. -P.; Charbonneau, P.; Renaud, P.
When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny Proceedings Article
In: S., Itthipuripat; G.A., Ascoli; A., Li; N., Pat; H., Kuai (Ed.): Lect. Notes Comput. Sci., pp. 121–139, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-981963293-0 (ISBN).
Abstract | Links | BibTeX | Tags: Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality
@inproceedings{brideau-duquetteWhenSexyAvatars2025a,
title = {When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny},
author = {M. Brideau-Duquette and S. S. -P. Côté and P. Charbonneau and P. Renaud},
editor = {Itthipuripat S. and Ascoli G.A. and Li A. and Pat N. and Kuai H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002448490&doi=10.1007%2F978-981-96-3294-7_10&partnerID=40&md5=ced02f5a8061a51f213078ce6d6635f3},
doi = {10.1007/978-981-96-3294-7_10},
isbn = {03029743 (ISSN); 978-981963293-0 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15541 LNAI},
pages = {121–139},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.},
keywords = {Brain, Embodied Computing, Eye-tracking, Gaze behaviours, Human machine interaction, Immersive, Nonlinear index, Psychological effects, regression analysis, Regression modelling, Uncanny, Uncanny valley, Virtual environments, virtual reality},
pubstate = {published},
tppubtype = {inproceedings}
}
This study explores the psychological effects of human-machine interaction, particularly focusing on the phenomenon of the uncanny valley within the context of virtual reality (VR). This study specifically investigates the relationship between oculomotor dynamics, EEG asymmetry, and perceived uncanniness in an immersive setting with a realistic human avatar that can generate uncanny feelings. Participants engaged in a VR scenario designed to optimize their sexual interest. Eye-tracking and EEG data were collected during these interactions to assess the predictors of uncanniness. The final regression model identified significant predictors, including EEG asymmetry in frontal and parietal regions and nonlinear indices of gaze behavior. The findings suggest that the more a participants’ attention was attracted towards specific cues, the higher the uncanniness. The interplay between EEG asymmetries and gaze behavior furthermore indicates that these physiological and behavioral responses are closely linked to the perception of uncanniness, offering insights into how humans interact with increasingly lifelike technologies. These insights contribute to a better understanding of HMI’s potential and may inform the development of more engaging and psychologically attuned virtual content. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
6.
Léveillé, E.; Desjardins, M.; Dumel, G.; Blais, C.; Saint-Amour, D.; Scherzer, P.; Beaumont, L. De
Effects of Emotion and Emotional Ambiguity on Early Visual Event-Related Potentials Journal Article
In: Emotion, vol. 23, no. 3, pp. 787–804, 2022, ISSN: 15283542 (ISSN), (Publisher: American Psychological Association).
Abstract | Links | BibTeX | Tags: adult, article, Brain, clinical article, controlled study, Electroencephalography, electroencephalography (EEG), emotion, emotional facial expression (EFE), event related potential, event-related potential (ERP), Facial Expression, female, human, human experiment, male, mass univariate statistics, photography, univariate analysis
@article{leveille_effects_2022,
title = {Effects of Emotion and Emotional Ambiguity on Early Visual Event-Related Potentials},
author = {E. Léveillé and M. Desjardins and G. Dumel and C. Blais and D. Saint-Amour and P. Scherzer and L. De Beaumont},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135853427&doi=10.1037%2femo0001119&partnerID=40&md5=7e89d6dee0b96766b8a359a3a9be4d73},
doi = {10.1037/emo0001119},
issn = {15283542 (ISSN)},
year = {2022},
date = {2022-01-01},
journal = {Emotion},
volume = {23},
number = {3},
pages = {787–804},
publisher = {American Psychological Association},
abstract = {The modulation of early sensory event-related potentials such as the P1, N1, and N170 by emotion and emotional ambiguity is still controversial. Some studies have found a modulation of one or all of these components by one or both of these factors, whereas others have failed to show such results. The objective of this study was to investigate the effects of emotion and ambiguity on the behavioral and electrophysiological responses to a morphed emotion recognition task. Thirty-seven healthy participants (19 men) completed an emotion recognition task where photographs of a male face expressing the six basic emotions morphed with another emotion (in a proportion ranging from 26% to 74%) were randomly presented while electroencephalography was recorded. After each face presentation, participants were asked to identify the facial emotion. We found an emotional effect on the P1, N1, and N170, with greater amplitudes for some emotional facial expressions than for others. However, we found no significant emotional ambiguity effect or interaction between emotion and ambiguity for any of these components. These findings suggest that computation of emotional facial expressions (regardless of their ambiguity) occurs from the early stages of brain processing. © 2022 American Psychological Association},
note = {Publisher: American Psychological Association},
keywords = {adult, article, Brain, clinical article, controlled study, Electroencephalography, electroencephalography (EEG), emotion, emotional facial expression (EFE), event related potential, event-related potential (ERP), Facial Expression, female, human, human experiment, male, mass univariate statistics, photography, univariate analysis},
pubstate = {published},
tppubtype = {article}
}
The modulation of early sensory event-related potentials such as the P1, N1, and N170 by emotion and emotional ambiguity is still controversial. Some studies have found a modulation of one or all of these components by one or both of these factors, whereas others have failed to show such results. The objective of this study was to investigate the effects of emotion and ambiguity on the behavioral and electrophysiological responses to a morphed emotion recognition task. Thirty-seven healthy participants (19 men) completed an emotion recognition task where photographs of a male face expressing the six basic emotions morphed with another emotion (in a proportion ranging from 26% to 74%) were randomly presented while electroencephalography was recorded. After each face presentation, participants were asked to identify the facial emotion. We found an emotional effect on the P1, N1, and N170, with greater amplitudes for some emotional facial expressions than for others. However, we found no significant emotional ambiguity effect or interaction between emotion and ambiguity for any of these components. These findings suggest that computation of emotional facial expressions (regardless of their ambiguity) occurs from the early stages of brain processing. © 2022 American Psychological Association
7.
Léveillé, E.; Desjardins, M.; Dumel, G.; Blais, C.; Saint-Amour, D.; Scherzer, P.; Beaumont, L. De
Effects of Emotion and Emotional Ambiguity on Early Visual Event-Related Potentials Journal Article
In: Emotion, vol. 23, no. 3, pp. 787–804, 2022, ISSN: 15283542 (ISSN).
Abstract | Links | BibTeX | Tags: adult, article, Brain, clinical article, controlled study, Electroencephalography, electroencephalography (EEG), emotion, emotional facial expression (EFE), event related potential, event-related potential (ERP), Facial Expression, female, human, human experiment, male, mass univariate statistics, photography, univariate analysis
@article{leveilleEffectsEmotionEmotional2022,
title = {Effects of Emotion and Emotional Ambiguity on Early Visual Event-Related Potentials},
author = {E. Léveillé and M. Desjardins and G. Dumel and C. Blais and D. Saint-Amour and P. Scherzer and L. De Beaumont},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135853427&doi=10.1037%2femo0001119&partnerID=40&md5=7e89d6dee0b96766b8a359a3a9be4d73},
doi = {10.1037/emo0001119},
issn = {15283542 (ISSN)},
year = {2022},
date = {2022-01-01},
journal = {Emotion},
volume = {23},
number = {3},
pages = {787–804},
publisher = {American Psychological Association},
abstract = {The modulation of early sensory event-related potentials such as the P1, N1, and N170 by emotion and emotional ambiguity is still controversial. Some studies have found a modulation of one or all of these components by one or both of these factors, whereas others have failed to show such results. The objective of this study was to investigate the effects of emotion and ambiguity on the behavioral and electrophysiological responses to a morphed emotion recognition task. Thirty-seven healthy participants (19 men) completed an emotion recognition task where photographs of a male face expressing the six basic emotions morphed with another emotion (in a proportion ranging from 26% to 74%) were randomly presented while electroencephalography was recorded. After each face presentation, participants were asked to identify the facial emotion. We found an emotional effect on the P1, N1, and N170, with greater amplitudes for some emotional facial expressions than for others. However, we found no significant emotional ambiguity effect or interaction between emotion and ambiguity for any of these components. These findings suggest that computation of emotional facial expressions (regardless of their ambiguity) occurs from the early stages of brain processing. © 2022 American Psychological Association},
keywords = {adult, article, Brain, clinical article, controlled study, Electroencephalography, electroencephalography (EEG), emotion, emotional facial expression (EFE), event related potential, event-related potential (ERP), Facial Expression, female, human, human experiment, male, mass univariate statistics, photography, univariate analysis},
pubstate = {published},
tppubtype = {article}
}
The modulation of early sensory event-related potentials such as the P1, N1, and N170 by emotion and emotional ambiguity is still controversial. Some studies have found a modulation of one or all of these components by one or both of these factors, whereas others have failed to show such results. The objective of this study was to investigate the effects of emotion and ambiguity on the behavioral and electrophysiological responses to a morphed emotion recognition task. Thirty-seven healthy participants (19 men) completed an emotion recognition task where photographs of a male face expressing the six basic emotions morphed with another emotion (in a proportion ranging from 26% to 74%) were randomly presented while electroencephalography was recorded. After each face presentation, participants were asked to identify the facial emotion. We found an emotional effect on the P1, N1, and N170, with greater amplitudes for some emotional facial expressions than for others. However, we found no significant emotional ambiguity effect or interaction between emotion and ambiguity for any of these components. These findings suggest that computation of emotional facial expressions (regardless of their ambiguity) occurs from the early stages of brain processing. © 2022 American Psychological Association
8.
Messaoudi, H.; Belaid, A.; Allaoui, M. L.; Zetout, A.; Allili, M. S.; Tliba, S.; Salem, D. Ben; Conze, P. -H.
Efficient Embedding Network for 3D Brain Tumor Segmentation Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12658 LNCS, pp. 252–262, 2021, ISSN: 03029743, (ISBN: 9783030720834).
Abstract | Links | BibTeX | Tags: 3D medical image processing, Brain, Brain tumor segmentation, Classification networks, Convolutional neural networks, Deep learning, Embedding network, Image segmentation, Large dataset, Large datasets, Medical imaging, Natural images, Net networks, Semantic segmentation, Semantics, Signal encoding, Tumors
@article{messaoudi_efficient_2021,
title = {Efficient Embedding Network for 3D Brain Tumor Segmentation},
author = {H. Messaoudi and A. Belaid and M. L. Allaoui and A. Zetout and M. S. Allili and S. Tliba and D. Ben Salem and P. -H. Conze},
editor = {Bakas S. Crimi A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107387134&doi=10.1007%2f978-3-030-72084-1_23&partnerID=40&md5=b3aa3516b0465a1bf5611db4727d95f1},
doi = {10.1007/978-3-030-72084-1_23},
issn = {03029743},
year = {2021},
date = {2021-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12658 LNCS},
pages = {252–262},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {3D medical image processing with deep learning greatly suffers from a lack of data. Thus, studies carried out in this field are limited compared to works related to 2D natural image analysis, where very large datasets exist. As a result, powerful and efficient 2D convolutional neural networks have been developed and trained. In this paper, we investigate a way to transfer the performance of a two-dimensional classification network for the purpose of three-dimensional semantic segmentation of brain tumors. We propose an asymmetric U-Net network by incorporating the EfficientNet model as part of the encoding branch. As the input data is in 3D, the first layers of the encoder are devoted to the reduction of the third dimension in order to fit the input of the EfficientNet network. Experimental results on validation and test data from the BraTS 2020 challenge demonstrate that the proposed method achieve promising performance. © 2021, Springer Nature Switzerland AG.},
note = {ISBN: 9783030720834},
keywords = {3D medical image processing, Brain, Brain tumor segmentation, Classification networks, Convolutional neural networks, Deep learning, Embedding network, Image segmentation, Large dataset, Large datasets, Medical imaging, Natural images, Net networks, Semantic segmentation, Semantics, Signal encoding, Tumors},
pubstate = {published},
tppubtype = {article}
}
3D medical image processing with deep learning greatly suffers from a lack of data. Thus, studies carried out in this field are limited compared to works related to 2D natural image analysis, where very large datasets exist. As a result, powerful and efficient 2D convolutional neural networks have been developed and trained. In this paper, we investigate a way to transfer the performance of a two-dimensional classification network for the purpose of three-dimensional semantic segmentation of brain tumors. We propose an asymmetric U-Net network by incorporating the EfficientNet model as part of the encoding branch. As the input data is in 3D, the first layers of the encoder are devoted to the reduction of the third dimension in order to fit the input of the EfficientNet network. Experimental results on validation and test data from the BraTS 2020 challenge demonstrate that the proposed method achieve promising performance. © 2021, Springer Nature Switzerland AG.
9.
Nolin, P.; Martin, C.; Bouchard, S.
Assessment of inhibition deficits with the virtual classroom in children with traumatic brain injury: A pilot-study Journal Article
In: Annual Review of CyberTherapy and Telemedicine, vol. 7, no. 1, pp. 240–242, 2009, ISSN: 15548716 (ISSN).
Abstract | Links | BibTeX | Tags: article, attention deficit disorder, Attention Deficit Disorder with Hyperactivity, Brain, Brain Injuries, brain injury, Child, Children, clinical article, Computer aided instruction, Ecological character, human, Humans, inhibition (psychology), Inhibition deficit, Life experiences, neuropsychological test, Neuropsychological Tests, Performance tests, Pilot Projects, Pilot studies, pilot study, reaction time, school, Traumatic Brain Injuries, traumatic brain injury, Virtual Classroom, virtual reality
@article{nolin_assessment_2009,
title = {Assessment of inhibition deficits with the virtual classroom in children with traumatic brain injury: A pilot-study},
author = {P. Nolin and C. Martin and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-71749121874&partnerID=40&md5=e13dc1c0941767a5d373bb1f8177b2c6},
issn = {15548716 (ISSN)},
year = {2009},
date = {2009-01-01},
journal = {Annual Review of CyberTherapy and Telemedicine},
volume = {7},
number = {1},
pages = {240–242},
abstract = {This study compared the performance of 8 children who have sustained a traumatic brain injury on the traditional VIGIL Continuous Performance Testand the Continuous Performance Test included in the Virtual Classroom. Results supported the hypothesis, showing that the Continuous Performance Test from the Virtual Classroom showed more sensitivity concerning inhibition deficits. More precisely, children showed more commission errors and longer reaction time. These results can be explained by the ecological character of the Virtual Classroom, meaning that this instrument is close to real-life experiences and requires more attention and inhibition resources.},
keywords = {article, attention deficit disorder, Attention Deficit Disorder with Hyperactivity, Brain, Brain Injuries, brain injury, Child, Children, clinical article, Computer aided instruction, Ecological character, human, Humans, inhibition (psychology), Inhibition deficit, Life experiences, neuropsychological test, Neuropsychological Tests, Performance tests, Pilot Projects, Pilot studies, pilot study, reaction time, school, Traumatic Brain Injuries, traumatic brain injury, Virtual Classroom, virtual reality},
pubstate = {published},
tppubtype = {article}
}
This study compared the performance of 8 children who have sustained a traumatic brain injury on the traditional VIGIL Continuous Performance Testand the Continuous Performance Test included in the Virtual Classroom. Results supported the hypothesis, showing that the Continuous Performance Test from the Virtual Classroom showed more sensitivity concerning inhibition deficits. More precisely, children showed more commission errors and longer reaction time. These results can be explained by the ecological character of the Virtual Classroom, meaning that this instrument is close to real-life experiences and requires more attention and inhibition resources.
10.
Nolin, P.; Martin, C.; Bouchard, S.
Assessment of inhibition deficits with the virtual classroom in children with traumatic brain injury: A pilot-study Journal Article
In: Annual Review of CyberTherapy and Telemedicine, vol. 7, no. 1, pp. 240–242, 2009, ISSN: 15548716 (ISSN).
Abstract | Links | BibTeX | Tags: article, attention deficit disorder, Attention Deficit Disorder with Hyperactivity, Brain, Brain Injuries, brain injury, Child, Children, clinical article, Computer aided instruction, Ecological character, human, Humans, inhibition (psychology), Inhibition deficit, Life experiences, neuropsychological test, Neuropsychological Tests, Performance tests, Pilot Projects, Pilot studies, pilot study, reaction time, school, Traumatic Brain Injuries, traumatic brain injury, Virtual Classroom, virtual reality
@article{nolinAssessmentInhibitionDeficits2009,
title = {Assessment of inhibition deficits with the virtual classroom in children with traumatic brain injury: A pilot-study},
author = {P. Nolin and C. Martin and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-71749121874&partnerID=40&md5=e13dc1c0941767a5d373bb1f8177b2c6},
issn = {15548716 (ISSN)},
year = {2009},
date = {2009-01-01},
journal = {Annual Review of CyberTherapy and Telemedicine},
volume = {7},
number = {1},
pages = {240–242},
abstract = {This study compared the performance of 8 children who have sustained a traumatic brain injury on the traditional VIGIL Continuous Performance Testand the Continuous Performance Test included in the Virtual Classroom. Results supported the hypothesis, showing that the Continuous Performance Test from the Virtual Classroom showed more sensitivity concerning inhibition deficits. More precisely, children showed more commission errors and longer reaction time. These results can be explained by the ecological character of the Virtual Classroom, meaning that this instrument is close to real-life experiences and requires more attention and inhibition resources.},
keywords = {article, attention deficit disorder, Attention Deficit Disorder with Hyperactivity, Brain, Brain Injuries, brain injury, Child, Children, clinical article, Computer aided instruction, Ecological character, human, Humans, inhibition (psychology), Inhibition deficit, Life experiences, neuropsychological test, Neuropsychological Tests, Performance tests, Pilot Projects, Pilot studies, pilot study, reaction time, school, Traumatic Brain Injuries, traumatic brain injury, Virtual Classroom, virtual reality},
pubstate = {published},
tppubtype = {article}
}
This study compared the performance of 8 children who have sustained a traumatic brain injury on the traditional VIGIL Continuous Performance Testand the Continuous Performance Test included in the Virtual Classroom. Results supported the hypothesis, showing that the Continuous Performance Test from the Virtual Classroom showed more sensitivity concerning inhibition deficits. More precisely, children showed more commission errors and longer reaction time. These results can be explained by the ecological character of the Virtual Classroom, meaning that this instrument is close to real-life experiences and requires more attention and inhibition resources.