

de Recherche et d’Innovation
en Cybersécurité et Société
Rigas, C.; Lavin, P.; Su, C. -L.; Hassan, M.; Cinalioglu, K.; Vacaflor, B.; Dikaios, E.; Goodman, A.; Ibrahim, M.; Gruber, J.; Se, J.; Sasi, N.; Nazar, R.; Bodenstein, K.; Elbaz, S.; Fajzel, H.; Berkani, S.; Hanganu, C.; Noble, H.; Looper, K.; Bouchard, S.; Seitz, D.; Kumar, S.; Beauchet, O.; Launay, C.; McDonald, E.; Khoury, B.; Ryder, A.; Battistini, B.; Fallavollita, P.; Vahia, I.; Sekhon, H.; Bukhari, S.; Rej, S.
In: BMC Psychiatry, vol. 26, no. 1, 2026, ISSN: 1471244X (ISSN).
Abstract | Links | BibTeX | Tags: 80 and over, adult, aged, Anxiety, article, clinical outcome, clinician, cohort analysis, coronavirus disease 2019, COVID-19, demographics, Depression, female, Generalized Anxiety Disorder-7, Geriatric mental health, health hazard, health program, human, human experiment, Humans, informed consent, male, Mental health, Mental Health Teletherapy, mental stress, older adults, Patient Health Questionnaire 9, Perceived Stress Scale, physiological stress, prediction, Predictors of treatment response, Prospective Studies, prospective study, Psychological, psychology, SARS-CoV-2, secondary analysis, Severe acute respiratory syndrome coronavirus 2, Social isolation, social worker, Stress, telehealth, Telemedicine, teletherapy, Therapy, treatment response, very elderly, Volunteer-based intervention
@article{rigasOptimizingFutureTelehealth2026,
title = {Optimizing future Telehealth mental health programs: a secondary analysis of a prospective cohort study to identify key predictors of intervention response in the Telehealth intervention program for older adults (TIP-OA)},
author = {C. Rigas and P. Lavin and C. -L. Su and M. Hassan and K. Cinalioglu and B. Vacaflor and E. Dikaios and A. Goodman and M. Ibrahim and J. Gruber and J. Se and N. Sasi and R. Nazar and K. Bodenstein and S. Elbaz and H. Fajzel and S. Berkani and C. Hanganu and H. Noble and K. Looper and S. Bouchard and D. Seitz and S. Kumar and O. Beauchet and C. Launay and E. McDonald and B. Khoury and A. Ryder and B. Battistini and P. Fallavollita and I. Vahia and H. Sekhon and S. Bukhari and S. Rej},
url = {https://www.scopus.com/pages/publications/105038539121?origin=resultslist},
doi = {10.1186/s12888-025-07688-1},
issn = {1471244X (ISSN)},
year = {2026},
date = {2026-01-01},
journal = {BMC Psychiatry},
volume = {26},
number = {1},
publisher = {BioMed Central Ltd},
abstract = {Background: The Telehealth Intervention Program for Older Adults (TIP-OA) was a volunteer-based phone support program for to older adults during the COVID-19 pandemic. While volunteer-based phone programs can be effective in providing mental health support, there is limited data on the predictors of response to such interventions. This study aimed to examine clinical and demographic predictors of response to the TIP-OA intervention among older adults. Methods: This secondary analysis of a prospective cohort study included 82 TIP-OA users who expressed interest in the program’s research component, met inclusion criteria, and provided informed consent. Participants completed both baseline and 8-week assessments or had 4-week data carried forward using the last observation carried forward (LOCF) method. The intervention consisted of weekly supportive phone calls over eight weeks. Baseline mental health risk level was assessed by clinicians during intake and categorized as low, medium, or high based on symptom severity within specific symptom categories. Associations between baseline risk level and changes in stress (primary outcome), depression, and anxiety (secondary outcomes) were examined. The primary outcome was measured by the Perceived Stress Scale (PSS; scores ranging from 0 (never) to 4 (very often)). Secondary outcomes were measured by the Patient Health Questionnaire-9 (PHQ-9; scores ranging from 0 (not at all) to 3 (nearly every day)), and the Generalized Anxiety Disorder-7 scale (GAD-7; scores can range from 0 (not at all sure) to 3 (nearly every day)). Results: At 8 -week follow-up assessment, participants with higher baseline risk levels showed greater reductions in stress (mean difference in Perceived Stress Scale reduction by 2.13, (F(1,77) = 2.82},
keywords = {80 and over, adult, aged, Anxiety, article, clinical outcome, clinician, cohort analysis, coronavirus disease 2019, COVID-19, demographics, Depression, female, Generalized Anxiety Disorder-7, Geriatric mental health, health hazard, health program, human, human experiment, Humans, informed consent, male, Mental health, Mental Health Teletherapy, mental stress, older adults, Patient Health Questionnaire 9, Perceived Stress Scale, physiological stress, prediction, Predictors of treatment response, Prospective Studies, prospective study, Psychological, psychology, SARS-CoV-2, secondary analysis, Severe acute respiratory syndrome coronavirus 2, Social isolation, social worker, Stress, telehealth, Telemedicine, teletherapy, Therapy, treatment response, very elderly, Volunteer-based intervention},
pubstate = {published},
tppubtype = {article}
}
Brideau-Duquette, M.; Côté, S. S. -P.; Boukhalfi, T.; Renaud, P.
Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity Proceedings Article
In: B., Boulay; T., Di Mascio; E., Tovar; C., Meinel (Ed.): International Conference on Computer Supported Education, CSEDU - Proceedings, pp. 856–864, Science and Technology Publications, Lda, 2025, ISBN: 21845026 (ISSN); 978-989758746-7 (ISBN), (Journal Abbreviation: International Conference on Computer Supported Education, CSEDU - Proceedings).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Artificial life, Behavioral research, Computer forensics, Cyber security, Cyber-physical systems, Cyberphysical System, Cybersecurity, Data Lake, Data repositories, Extended Reality, Forensic engineering, Forensic psychiatry, Intelligent computing, prediction, Prevention, Research efforts, Social Engineering, Sociology, System in services
@inproceedings{brideau-duquette_forensic_2025,
title = {Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity},
author = {M. Brideau-Duquette and S. S. -P. Côté and T. Boukhalfi and P. Renaud},
editor = {Boulay B. and Di Mascio T. and Tovar E. and Meinel C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003621528&doi=10.5220%2f0013496100003932&partnerID=40&md5=ee442c9113f1104973b40ef698bc5d7d},
doi = {10.5220/0013496100003932},
isbn = {21845026 (ISSN); 978-989758746-7 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on Computer Supported Education, CSEDU - Proceedings},
volume = {1},
pages = {856–864},
publisher = {Science and Technology Publications, Lda},
abstract = {The advent of big data and artificial intelligence has led to the elaboration of computational psychiatry. In parallel, great progress has been made with extended reality (XR) technologies. In this article, we propose to build a forensic cyberphysical system (CPS) that, with a data lake as its computational and data repository core, will support clinical and research efforts in forensic psychiatry, this in both intramural and extramural settings. The proposed CPS requires offender's data (notably clinical, behavioural and physiological), but also emphasises the collection of such data in various XR contexts. The same data would be used to train machine and deep learning, artificial intelligence, algorithms. Beyond the direct feedback these algorithms could give to forensic specialists, they could help build forensic digital twins. They could also serve in the fine tuning of XR usage with offenders. This paper concludes with human-centered cybersecurity concerns and opportunities the same CPS would imply. The proximity between a forensic and XR-supported CPS and social engineering will be addressed, and special consideration will be given to the opportunity for situational awareness training with offenders. We conclude by sketching ethical and implementation challenges that would require future inquiring. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.},
note = {Journal Abbreviation: International Conference on Computer Supported Education, CSEDU - Proceedings},
keywords = {Artificial intelligence, Artificial life, Behavioral research, Computer forensics, Cyber security, Cyber-physical systems, Cyberphysical System, Cybersecurity, Data Lake, Data repositories, Extended Reality, Forensic engineering, Forensic psychiatry, Intelligent computing, prediction, Prevention, Research efforts, Social Engineering, Sociology, System in services},
pubstate = {published},
tppubtype = {inproceedings}
}
Larochelle, S.; Dugas, M. J.; Langlois, F.; Gosselin, P.; Belleville, G.; Bouchard, S.
Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population Journal Article
In: Journal of Clinical Medicine, vol. 14, no. 5, 2025, ISSN: 20770383 (ISSN), (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Abstract | Links | BibTeX | Tags: adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model
@article{larochelle_intolerance_2025,
title = {Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population},
author = {S. Larochelle and M. J. Dugas and F. Langlois and P. Gosselin and G. Belleville and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000587548&doi=10.3390%2Fjcm14051502&partnerID=40&md5=7a364fe831d85eff0f0f7121657649e5},
doi = {10.3390/jcm14051502},
issn = {20770383 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Clinical Medicine},
volume = {14},
number = {5},
abstract = {Background/objectives: Several factors have been shown to play a role in the development and maintenance of generalized anxiety disorder (GAD), including intolerance of uncertainty and emotion dysregulation. Although the individual contribution of both of these factors is well documented, their combined effect has yet to be studied in a clinical population with GAD. The aim of the present study was to examine the relative contribution of intolerance of uncertainty and emotion dysregulation to the prediction of worry and GAD severity in adults with GAD. Methods: The sample consisted of 108 participants diagnosed with GAD. The participants completed measures of worry, GAD severity, depressive symptoms, intolerance of uncertainty, and emotion dysregulation. Results: Multiple regression indicated that both intolerance of uncertainty and emotion dysregulation significantly contributed to both worry and GAD severity, over and above the contribution of depressive symptoms. Of note, the model explained 36% of the variance in GAD severity scores. Conclusions: The present results provide preliminary evidence of complementarity among dominant models of GAD, and point to the potential role of integrative conceptualizations and treatment strategies for GAD. © 2025 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model},
pubstate = {published},
tppubtype = {article}
}
Brideau-Duquette, M.; Côté, S. S. -P.; Boukhalfi, T.; Renaud, P.
Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity Proceedings Article
In: B., Boulay; T., Di Mascio; E., Tovar; C., Meinel (Ed.): International Conference on Computer Supported Education, CSEDU - Proceedings, pp. 856–864, Science and Technology Publications, Lda, 2025, ISBN: 21845026 (ISSN); 978-989758746-7 (ISBN), (Journal Abbreviation: International Conference on Computer Supported Education, CSEDU - Proceedings).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Artificial life, Behavioral research, Computer forensics, Cyber security, Cyber-physical systems, Cyberphysical System, Cybersecurity, Data Lake, Data repositories, Extended Reality, Forensic engineering, Forensic psychiatry, Intelligent computing, prediction, Prevention, Research efforts, Social Engineering, Sociology, System in services
@inproceedings{brideau-duquetteForensicPsychiatryBig2025a,
title = {Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity},
author = {M. Brideau-Duquette and S. S. -P. Côté and T. Boukhalfi and P. Renaud},
editor = {Boulay B. and Di Mascio T. and Tovar E. and Meinel C.},
url = {https://www.scopus.com/pages/publications/105003621528?origin=resultslist},
doi = {10.5220/0013496100003932},
isbn = {21845026 (ISSN); 978-989758746-7 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on Computer Supported Education, CSEDU - Proceedings},
volume = {1},
pages = {856–864},
publisher = {Science and Technology Publications, Lda},
abstract = {The advent of big data and artificial intelligence has led to the elaboration of computational psychiatry. In parallel, great progress has been made with extended reality (XR) technologies. In this article, we propose to build a forensic cyberphysical system (CPS) that, with a data lake as its computational and data repository core, will support clinical and research efforts in forensic psychiatry, this in both intramural and extramural settings. The proposed CPS requires offender's data (notably clinical, behavioural and physiological), but also emphasises the collection of such data in various XR contexts. The same data would be used to train machine and deep learning, artificial intelligence, algorithms. Beyond the direct feedback these algorithms could give to forensic specialists, they could help build forensic digital twins. They could also serve in the fine tuning of XR usage with offenders. This paper concludes with human-centered cybersecurity concerns and opportunities the same CPS would imply. The proximity between a forensic and XR-supported CPS and social engineering will be addressed, and special consideration will be given to the opportunity for situational awareness training with offenders. We conclude by sketching ethical and implementation challenges that would require future inquiring. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.},
note = {Journal Abbreviation: International Conference on Computer Supported Education, CSEDU - Proceedings},
keywords = {Artificial intelligence, Artificial life, Behavioral research, Computer forensics, Cyber security, Cyber-physical systems, Cyberphysical System, Cybersecurity, Data Lake, Data repositories, Extended Reality, Forensic engineering, Forensic psychiatry, Intelligent computing, prediction, Prevention, Research efforts, Social Engineering, Sociology, System in services},
pubstate = {published},
tppubtype = {inproceedings}
}
Larochelle, S.; Dugas, M. J.; Langlois, F.; Gosselin, P.; Belleville, G.; Bouchard, S.
Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population Journal Article
In: Journal of Clinical Medicine, vol. 14, no. 5, 2025, ISSN: 20770383 (ISSN).
Abstract | Links | BibTeX | Tags: adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model
@article{larochelleIntoleranceUncertaintyEmotion2025,
title = {Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population},
author = {S. Larochelle and M. J. Dugas and F. Langlois and P. Gosselin and G. Belleville and S. Bouchard},
url = {https://www.scopus.com/pages/publications/86000587548?origin=resultslist},
doi = {10.3390/jcm14051502},
issn = {20770383 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Clinical Medicine},
volume = {14},
number = {5},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
abstract = {Background/objectives: Several factors have been shown to play a role in the development and maintenance of generalized anxiety disorder (GAD), including intolerance of uncertainty and emotion dysregulation. Although the individual contribution of both of these factors is well documented, their combined effect has yet to be studied in a clinical population with GAD. The aim of the present study was to examine the relative contribution of intolerance of uncertainty and emotion dysregulation to the prediction of worry and GAD severity in adults with GAD. Methods: The sample consisted of 108 participants diagnosed with GAD. The participants completed measures of worry, GAD severity, depressive symptoms, intolerance of uncertainty, and emotion dysregulation. Results: Multiple regression indicated that both intolerance of uncertainty and emotion dysregulation significantly contributed to both worry and GAD severity, over and above the contribution of depressive symptoms. Of note, the model explained 36% of the variance in GAD severity scores. Conclusions: The present results provide preliminary evidence of complementarity among dominant models of GAD, and point to the potential role of integrative conceptualizations and treatment strategies for GAD. © 2025 by the authors.},
keywords = {adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model},
pubstate = {published},
tppubtype = {article}
}
Larochelle, S.; Dugas, M. J.; Langlois, F.; Gosselin, P.; Belleville, G.; Bouchard, S.
Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population Journal Article
In: Journal of Clinical Medicine, vol. 14, no. 5, 2025, ISSN: 20770383 (ISSN).
Abstract | Links | BibTeX | Tags: adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model
@article{larochelleIntoleranceUncertaintyEmotion2025a,
title = {Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population},
author = {S. Larochelle and M. J. Dugas and F. Langlois and P. Gosselin and G. Belleville and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000587548&doi=10.3390%2Fjcm14051502&partnerID=40&md5=7a364fe831d85eff0f0f7121657649e5},
doi = {10.3390/jcm14051502},
issn = {20770383 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Clinical Medicine},
volume = {14},
number = {5},
abstract = {Background/objectives: Several factors have been shown to play a role in the development and maintenance of generalized anxiety disorder (GAD), including intolerance of uncertainty and emotion dysregulation. Although the individual contribution of both of these factors is well documented, their combined effect has yet to be studied in a clinical population with GAD. The aim of the present study was to examine the relative contribution of intolerance of uncertainty and emotion dysregulation to the prediction of worry and GAD severity in adults with GAD. Methods: The sample consisted of 108 participants diagnosed with GAD. The participants completed measures of worry, GAD severity, depressive symptoms, intolerance of uncertainty, and emotion dysregulation. Results: Multiple regression indicated that both intolerance of uncertainty and emotion dysregulation significantly contributed to both worry and GAD severity, over and above the contribution of depressive symptoms. Of note, the model explained 36% of the variance in GAD severity scores. Conclusions: The present results provide preliminary evidence of complementarity among dominant models of GAD, and point to the potential role of integrative conceptualizations and treatment strategies for GAD. © 2025 by the authors.},
keywords = {adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model},
pubstate = {published},
tppubtype = {article}
}
Brideau-Duquette, M.; Côté, S. S. -P.; Boukhalfi, T.; Renaud, P.
Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity Proceedings Article
In: B., Boulay; T., Di Mascio; E., Tovar; C., Meinel (Ed.): International Conference on Computer Supported Education, CSEDU - Proceedings, pp. 856–864, Science and Technology Publications, Lda, 2025, ISBN: 21845026 (ISSN); 978-989758746-7 (ISBN), (Journal Abbreviation: International Conference on Computer Supported Education, CSEDU - Proceedings).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Artificial life, Behavioral research, Computer forensics, Cyber security, Cyber-physical systems, Cyberphysical System, Cybersecurity, Data Lake, Data repositories, Extended Reality, Forensic engineering, Forensic psychiatry, Intelligent computing, prediction, Prevention, Research efforts, Social Engineering, Sociology, System in services
@inproceedings{brideau-duquetteForensicPsychiatryBig2025,
title = {Forensic Psychiatry and Big Data: Towards a Cyberphysical System in Service of Clinic, Research and Cybersecurity},
author = {M. Brideau-Duquette and S. S. -P. Côté and T. Boukhalfi and P. Renaud},
editor = {Boulay B. and Di Mascio T. and Tovar E. and Meinel C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003621528&doi=10.5220%2f0013496100003932&partnerID=40&md5=ee442c9113f1104973b40ef698bc5d7d},
doi = {10.5220/0013496100003932},
isbn = {21845026 (ISSN); 978-989758746-7 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on Computer Supported Education, CSEDU - Proceedings},
volume = {1},
pages = {856–864},
publisher = {Science and Technology Publications, Lda},
abstract = {The advent of big data and artificial intelligence has led to the elaboration of computational psychiatry. In parallel, great progress has been made with extended reality (XR) technologies. In this article, we propose to build a forensic cyberphysical system (CPS) that, with a data lake as its computational and data repository core, will support clinical and research efforts in forensic psychiatry, this in both intramural and extramural settings. The proposed CPS requires offender's data (notably clinical, behavioural and physiological), but also emphasises the collection of such data in various XR contexts. The same data would be used to train machine and deep learning, artificial intelligence, algorithms. Beyond the direct feedback these algorithms could give to forensic specialists, they could help build forensic digital twins. They could also serve in the fine tuning of XR usage with offenders. This paper concludes with human-centered cybersecurity concerns and opportunities the same CPS would imply. The proximity between a forensic and XR-supported CPS and social engineering will be addressed, and special consideration will be given to the opportunity for situational awareness training with offenders. We conclude by sketching ethical and implementation challenges that would require future inquiring. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.},
note = {Journal Abbreviation: International Conference on Computer Supported Education, CSEDU - Proceedings},
keywords = {Artificial intelligence, Artificial life, Behavioral research, Computer forensics, Cyber security, Cyber-physical systems, Cyberphysical System, Cybersecurity, Data Lake, Data repositories, Extended Reality, Forensic engineering, Forensic psychiatry, Intelligent computing, prediction, Prevention, Research efforts, Social Engineering, Sociology, System in services},
pubstate = {published},
tppubtype = {inproceedings}
}
Ansado, J.; Chasen, C.; Bouchard, S.; Northoff, G.
How brain imaging provides predictive biomarkers for therapeutic success in the context of virtual reality cognitive training Journal Article
In: Neuroscience and Biobehavioral Reviews, vol. 120, pp. 583–594, 2021, ISSN: 01497634, (Publisher: Elsevier Ltd).
Abstract | Links | BibTeX | Tags: accuracy, attention deficit disorder, biological monitoring, brain depth stimulation, brain electrophysiology, brain radiography, brain region, cell function, cerebrovascular accident, clinician, cognition, Cognitive rehabilitation, disease marker, electroencephalogram, Electroencephalography, functional magnetic resonance imaging, functional near-infrared spectroscopy, human, image quality, in vivo study, nerve cell, neuroimaging, neurologic disease, neuropsychological test, neuropsychology, neurorehabilitation, nonhuman, prediction, priority journal, review, therapy effect, training, traumatic brain injury, virtual reality, virtual reality cognitive training
@article{ansado_how_2021,
title = {How brain imaging provides predictive biomarkers for therapeutic success in the context of virtual reality cognitive training},
author = {J. Ansado and C. Chasen and S. Bouchard and G. Northoff},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089070480&doi=10.1016%2fj.neubiorev.2020.05.018&partnerID=40&md5=8e5ea676958e050b32a893830dbc2a93},
doi = {10.1016/j.neubiorev.2020.05.018},
issn = {01497634},
year = {2021},
date = {2021-01-01},
journal = {Neuroscience and Biobehavioral Reviews},
volume = {120},
pages = {583–594},
publisher = {Elsevier Ltd},
abstract = {As Virtual reality (VR) is increasingly used in neurological disorders such as stroke, traumatic brain injury, or attention deficit disorder, the question of how it impacts the brain's neuronal activity and function becomes essential. VR can be combined with neuroimaging to offer invaluable insight into how the targeted brain areas respond to stimulation during neurorehabilitation training. That, in turn, could eventually serve as a predictive marker for therapeutic success. Functional magnetic resonance imaging (fMRI) identified neuronal activity related to blood flow to reveal with a high spatial resolution how activation patterns change, and restructuring occurs after VR training. Portable and quiet, electroencephalography (EEG) conveniently allows the clinician to track spontaneous electrical brain activity in high temporal resolution. Then, functional near-infrared spectroscopy (fNIRS) combines the spatial precision level of fMRIs with the portability and high temporal resolution of EEG to constitute an ideal measuring tool in virtual environments (VEs). This narrative review explores the role of VR and concurrent neuroimaging in cognitive rehabilitation. © 2020 Elsevier Ltd},
note = {Publisher: Elsevier Ltd},
keywords = {accuracy, attention deficit disorder, biological monitoring, brain depth stimulation, brain electrophysiology, brain radiography, brain region, cell function, cerebrovascular accident, clinician, cognition, Cognitive rehabilitation, disease marker, electroencephalogram, Electroencephalography, functional magnetic resonance imaging, functional near-infrared spectroscopy, human, image quality, in vivo study, nerve cell, neuroimaging, neurologic disease, neuropsychological test, neuropsychology, neurorehabilitation, nonhuman, prediction, priority journal, review, therapy effect, training, traumatic brain injury, virtual reality, virtual reality cognitive training},
pubstate = {published},
tppubtype = {article}
}
Pagé, C. A.; Tourigny, M.; Renaud, P.
In: Sexologies, vol. 19, no. 2, pp. 109–118, 2010, ISSN: 11581360 (ISSN).
Links | BibTeX | Tags: Adolescent, adult, article, Child, child behavior, comparative study, controlled study, coping behavior, Coping Inventory for Stressful Situation, emotion, female, human, male, peer group, prediction, psychological rating scale, school child, Sexual Behavior, sexual crime, Stress
@article{page_comparative_2010,
title = {A comparative analysis of youth sex offenders and non-offender peers: Is there a difference in their coping strategies? [Analyse comparée d'un groupe de jeunes délinquants sexuels et de jeunes non délinquants sexuels : y a-t-il une différence au niveau de leurs stratégies d'adaptation ?]},
author = {C. A. Pagé and M. Tourigny and P. Renaud},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954501869&doi=10.1016%2fj.sexol.2009.11.001&partnerID=40&md5=ee716e11cfd3716ce582214044fb7bda},
doi = {10.1016/j.sexol.2009.11.001},
issn = {11581360 (ISSN)},
year = {2010},
date = {2010-01-01},
journal = {Sexologies},
volume = {19},
number = {2},
pages = {109–118},
keywords = {Adolescent, adult, article, Child, child behavior, comparative study, controlled study, coping behavior, Coping Inventory for Stressful Situation, emotion, female, human, male, peer group, prediction, psychological rating scale, school child, Sexual Behavior, sexual crime, Stress},
pubstate = {published},
tppubtype = {article}
}
Pagé, C. A.; Tourigny, M.; Renaud, P.
A comparative analysis of youth sex offenders and non-offender peers: Is there a difference in their coping strategies? Journal Article
In: Sexologies, vol. 19, no. 2, pp. 78–86, 2010, ISSN: 11581360 (ISSN).
Abstract | Links | BibTeX | Tags: Adolescent, Adolescents, adult, article, Child, child psychiatry, comparative study, controlled study, coping behavior, Coping Inventory for Stressful Situation, Coping strategies, emotion, human, male, peer group, prediction, psychological rating scale, school child, Sexual Behavior, sexual crime, Sexual offending, Stress, Youth sexual offenders
@article{page_comparative_2010-1,
title = {A comparative analysis of youth sex offenders and non-offender peers: Is there a difference in their coping strategies?},
author = {C. A. Pagé and M. Tourigny and P. Renaud},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954537963&doi=10.1016%2fj.sexol.2009.11.002&partnerID=40&md5=8bfd0b580c2b08569fa180ec7713b7ca},
doi = {10.1016/j.sexol.2009.11.002},
issn = {11581360 (ISSN)},
year = {2010},
date = {2010-01-01},
journal = {Sexologies},
volume = {19},
number = {2},
pages = {78–86},
abstract = {Purpose: To investigate the coping strategies of youth sexual offenders, which are believed to be important elements in the development of sexual offending behaviours. Subjects and method: This cross-sectional study investigated two groups of male adolescents (n = 196) consisting of youth sexual offenders and non-offender peers. Examination of the coping strategies was measured by a Coping Inventory for Stressful Situations (CISS). Results: It was hypothesized that youth sexual offenders used sex-related activities and emotions as coping strategies to alleviate negative emotional states and problematic situations. The results obtained demonstrated that youth sexual offenders make less use of sex-related activities as a way of coping with stressful situations, but make more use of emotions-coping strategies when compared to non-offender peers. An attempt was made to predict youth as sexual offenders or non-offenders according to the coping strategies they used in times of stress. The logistic regression model used was statistically significant and the analysis performed increased the likelihood of correctly identifying youth sexual offenders based on the coping strategies used in times of stress. Conclusion: The results of the study demonstrated that youth sexual offenders have a tendency to use emotional responses to cope with life's difficulties, which may be increasing their level of stress and thereby placing them at a higher risk to offend sexually. © 2009 Elsevier Masson SAS. All rights reserved.},
keywords = {Adolescent, Adolescents, adult, article, Child, child psychiatry, comparative study, controlled study, coping behavior, Coping Inventory for Stressful Situation, Coping strategies, emotion, human, male, peer group, prediction, psychological rating scale, school child, Sexual Behavior, sexual crime, Sexual offending, Stress, Youth sexual offenders},
pubstate = {published},
tppubtype = {article}
}



