@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},

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}

}

@article{quintana_effect_2019,

title = {The effect of exposure to fear-related body odorants on anxiety and interpersonal trust toward a virtual character},

author = {P. Quintana and K. Nolet and O. Baus and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074305238&doi=10.1093%2fchemse%2fbjz063&partnerID=40&md5=50ec319370e1688498abfa845c7ec343},

doi = {10.1093/chemse/bjz063},

issn = {0379864X},

year  = {2019},

date = {2019-01-01},

journal = {Chemical Senses},

volume = {44},

number = {9},

pages = {683–692},

abstract = {A growing body of literature documents how exposure to another person's fear-related body odorants can increase one's own anxiety and interfere with processing of social information, such as facial expression and impression formation. Building on these results, we aimed to 1) test the hypothesis that exposure to fear-related odorant would affect impression formation through fear contagion and 2) verify whether these effects can be observed in an ecologically valid (i.e., virtual) environment. We proposed that exposure to fear-related odorant would cause receivers to feel more anxious, which in turn would lead them to report less trust toward an unknown virtual character. This study had 2 distinct phases. First, we collected perspiration odorants from the armpits of 12 male senders (i.e., the source of the odorant) during the viewing of either fear or joy inducing film clips. In the second phase, 53 women receivers were exposed to either a fear, joy, or neutral odorant (i.e., between-subjects design) by breathing through a gauze attached to a disposable respirator mask while immersed in a virtual bar. As expected, receivers exposed to fear odorants felt significantly more stressed. Mediation analysis also revealed an indirect effect of exposure on trust through anxiety. More specifically, the more anxious the receiver felt, the less she trusted the virtual character. Our results show for the first time that the impact of exposure to fear-related body odorants on negative interpersonal impression formation is mediated by the anxiety induced in the receiver. © 2019 The Author(s) 2019. Published by Oxford University Press. All rights reserved.},

note = {Publisher: Oxford University Press},

keywords = {adult, Anxiety, article, body odor, body odorant, chemistry, controlled study, emotion, Emotions, exposure, Fear, female, fragrance, happiness, human, human experiment, Humans, male, metabolism, Middle Aged, odor, Odorants, pathology, Pleasure, priority journal, Sweat, sweating, Trust, unclassified drug, virtual reality, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{ouyed_feature_2018,

title = {Feature weighting for multinomial kernel logistic regression and application to action recognition},

author = {O. Ouyed and M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035104467&doi=10.1016%2fj.neucom.2017.10.024&partnerID=40&md5=09687b392a405be4338799a750932cf3},

doi = {10.1016/j.neucom.2017.10.024},

issn = {09252312},

year  = {2018},

date = {2018-01-01},

journal = {Neurocomputing},

volume = {275},

pages = {1752–1768},

abstract = {Multinominal kernel logistic regression (MKLR) is a supervised classification method designed for separating classes with non-linear boundaries. However, it relies on the assumption that all features are equally important, which may decrease classification performance when dealing with high-dimensional and noisy data. We propose an approach for embedding feature relevance in multinomial kernel logistic regression. Our approach, coined fr-MKLR, generalizes MKLR by introducing a feature weighting scheme in the Gaussian kernel and using the so-called ℓ0-“norm” as sparsity-promoting regularization. Therefore, the contribution of each feature is tuned according to its relevance for classification which leads to more generalizable and interpretable sparse models for classification. Application of our approach to several standard datasets and video action recognition has provided very promising results compared to other methods. © 2017 Elsevier B.V.},

note = {Publisher: Elsevier B.V.},

keywords = {Action recognition, article, Classification, classification algorithm, Classification performance, Computer applications, controlled study, embedding, Feature relevance, feature relevance for multinomial kernel logistic regression, Feature weighting, Kernel logistic regression, kernel method, Learning, mathematical computing, Multinomial kernels, multinominal kernel logistic regression, Neural networks, priority journal, recognition, regression analysis, simulation, sparse modeling, Sparse models, sparse multinomial logistic regression, sparsity promoting regularization, standard, Supervised classification},

pubstate = {published},

tppubtype = {article}

}

@article{du_sert_virtual_2018,

title = {Virtual reality therapy for refractory auditory verbal hallucinations in schizophrenia: A pilot clinical trial},

author = {O. P. Sert and S. Potvin and O. Lipp and L. Dellazizzo and M. Laurelli and R. Breton and P. Lalonde and K. Phraxayavong and K. O'Connor and J. -F. Pelletier and T. Boukhalfi and P. Renaud and A. Dumais},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042420594&doi=10.1016%2fj.schres.2018.02.031&partnerID=40&md5=fe98669ecfdfb69d05cc9ebb58fecdcc},

doi = {10.1016/j.schres.2018.02.031},

issn = {09209964},

year  = {2018},

date = {2018-01-01},

journal = {Schizophrenia Research},

volume = {197},

pages = {176–181},

abstract = {Schizophrenia is a chronic and severe mental illness that poses significant challenges. While many pharmacological and psychosocial interventions are available, many treatment-resistant schizophrenia patients continue to suffer from persistent psychotic symptoms, notably auditory verbal hallucinations (AVH), which are highly disabling. This unmet clinical need requires new innovative treatment options. Recently, a psychological therapy using computerized technology has shown large therapeutic effects on AVH severity by enabling patients to engage in a dialogue with a computerized representation of their voices. These very promising results have been extended by our team using immersive virtual reality (VR). Our study was a 7-week phase-II, randomized, partial cross-over trial. Nineteen schizophrenia patients with refractory AVH were recruited and randomly allocated to either VR-assisted therapy (VRT) or treatment-as-usual (TAU). The group allocated to TAU consisted of antipsychotic treatment and usual meetings with clinicians. The TAU group then received a delayed 7 weeks of VRT. A follow-up was ensured 3 months after the last VRT therapy session. Changes in psychiatric symptoms, before and after TAU or VRT, were assessed using a linear mixed-effects model. Our findings showed that VRT produced significant improvements in AVH severity, depressive symptoms and quality of life that lasted at the 3-month follow-up period. Consistent with previous research, our results suggest that VRT might be efficacious in reducing AVH related distress. The therapeutic effects of VRT on the distress associated with the voices were particularly prominent (d = 1.2). VRT is a highly novel and promising intervention for refractory AVH in schizophrenia. © 2018},

note = {Publisher: Elsevier B.V.},

keywords = {adult, article, auditory hallucination, auditory verbal hallucination, clinical article, clinical effectiveness, computer assisted therapy, Computer-Assisted, controlled study, Cross-Over Studies, crossover procedure, disease severity, distress syndrome, female, follow up, Follow-Up Studies, hallucination, Hallucinations, human, Humans, male, Middle Aged, neuroleptic agent, outcome assessment, Outcome Assessment (Health Care), phase 2 clinical trial, physiology, Pilot Projects, pilot study, priority journal, procedures, psychotherapy, quality of life, randomized controlled trial, schizophrenia, Speech Perception, symptom, Therapy, therapy delay, therapy effect, treatment duration, treatment response, virtual reality, virtual reality exposure therapy},

pubstate = {published},

tppubtype = {article}

}

@article{maiano_prevalence_2018,

title = {Prevalence of anxiety and depressive disorders among youth with intellectual disabilities: A systematic review and meta-analysis},

author = {C. Maïano and S. Coutu and D. Tracey and S. Bouchard and G. Lepage and A. J. S. Morin and G. Moullec},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046664327&doi=10.1016%2fj.jad.2018.04.029&partnerID=40&md5=504c552402432a5b6443d07f63170403},

doi = {10.1016/j.jad.2018.04.029},

issn = {01650327},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Affective Disorders},

volume = {236},

pages = {230–242},

abstract = {Background: The purpose of this meta-analytic study was to determine the pooled prevalence estimates of anxiety and depressive disorders among children and adolescents with intellectual disabilities (ID) and to assess the extent to which these pooled prevalence rates differed according to studies’ characteristics. Method: A systematic literature search was performed in nine databases and 21 studies, published between 1975 and 2015, met the inclusion criteria. Results: The resulting pooled prevalence estimates of combined subtypes of anxiety and depressive disorders were respectively (a) 5.4% and 2.8% across samples; (b) 1.2% and 0.03% among children; and (c) 7.9% and 1.4% among adolescents. Pooled prevalence estimates for specific subtypes of anxiety disorders ranged from (a) 0.2% to 11.5% across samples; (b) 0.7% to 17.6% among children; and (c) 0.6% to 19.8% among adolescents. Pooled prevalence estimates of dysthymic disorder and major depressive disorder were respectively (a) 3.4% and 2.5% across samples; (b) 2.1% and 3.2% among children; and (c) 6.9% and 5.7% among adolescents. Finally, subgroup analyses showed significant variations in the pooled prevalence estimates of combined subtypes of anxiety disorders, obsessive-compulsive disorder, and generalized anxiety disorder; and combined subtypes of depressive disorders. Limitations: The present findings of this meta-analysis should be interpreted with caution given several limitations related to the characteristics of the populations, diagnostic method and sampling method. Conclusion: Findings provide recommendations for future studies investigating psychological disorders among youth with ID, as well as how clinicians and policy makers can improve diagnostic practices and support for youth with ID. © 2018 Elsevier B.V.},

note = {Publisher: Elsevier B.V.},

keywords = {Adolescent, adolescent disease, Anxiety disorder, Anxiety Disorders, Child, childhood disease, Depression, Depressive Disorder, dysthymia, Dysthymic Disorder, female, generalized anxiety disorder, human, Humans, infant, Intellectual Disability, intellectual impairment, Major, major depression, male, meta analysis, Newborn, obsessive compulsive disorder, Obsessive-Compulsive Disorder, Preschool, preschool child, Prevalence, priority journal, psychology, review, systematic review, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{baillot_what_2017,

title = {What Is Known About the Correlates and Impact of Excess Skin After Bariatric Surgery: a Scoping Review},

author = {A. Baillot and E. Brais-Dussault and A. Bastin and C. Cyr and J. Brunet and A. Aimé and A. J. Romain and M. -F. Langlois and S. Bouchard and A. Tchernof and R. Rabasa-Lhoret and P. -Y. Garneau and P. Bernard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021844825&doi=10.1007%2fs11695-017-2814-3&partnerID=40&md5=abf65e67a5551255bb543a6ff1678b32},

doi = {10.1007/s11695-017-2814-3},

issn = {09608923},

year  = {2017},

date = {2017-01-01},

journal = {Obesity Surgery},

volume = {27},

number = {9},

pages = {2488–2498},

abstract = {Although bariatric surgery (BS) improves health among adults with severe obesity, it results in excess skin in more than 70% of adults. The purpose of this study was to synthesize current knowledge on (1) the impact of excess skin experienced by adults after BS and (2) the correlates of excess skin quantity and inconveniences. PubMed, PsyArticles, and CINAHL databases were searched in May 2016 for relevant studies. Titles, abstracts, and full texts of studies retrieved were screened independently by two reviewers against inclusion criteria: (1) peer-reviewed primary research studies, (2) samples with adults who underwent BS, and (3) studies reporting the impact of excess skin and/or excess skin correlates. Thirteen quantitative and eleven qualitative studies met inclusion criteria. Negative physical, psychosocial, and daily life impacts of excess skin were reported in 67, 75, and 83% of studies, respectively. Women reported more excess skin and greater inconveniences of excess skin than did men. Based on the quantitative studies, pre-BS BMI, time since BS, and type of BS were not significantly associated with inconveniences of excess skin; findings were inconclusive for other correlates found (e.g. age, weight loss, BMI). Excess skin may adversely impact adults’ physical and psychosocial functioning, as well as their activities of daily life after BS. However, evidence is lacking to determine which adults may be at heightened risk of developing or being negatively impacted by excess skin. More research on correlates of excess skill is needed to inform the development of tailored interventions in those more vulnerable to developing excess skin after BS to mitigate adverse consequences. © 2017, Springer Science+Business Media, LLC.},

note = {Publisher: Springer New York LLC},

keywords = {Bariatric Surgery, body image, body mass, Dermatologic Surgical Procedures, excess skin, human, Humans, Morbid, morbid obesity, obesity, pathology, pathophysiology, postoperative complication, priority journal, psychology, review, Skin, skin disease, skin disease assessment, skin surgery, social psychology, weight reduction},

pubstate = {published},

tppubtype = {article}

}

@article{royer_efficient_2016,

title = {Efficient visual information for unfamiliar face matching despite viewpoint variations: It's not in the eyes!},

author = {J. Royer and C. Blais and V. Barnabé-Lortie and M. Carré and J. Leclerc and D. Fiset},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968779426&doi=10.1016%2fj.visres.2016.04.004&partnerID=40&md5=4c63f6eea279f7322c9af23ae9ed22c1},

doi = {10.1016/j.visres.2016.04.004},

issn = {00426989 (ISSN)},

year  = {2016},

date = {2016-01-01},

journal = {Vision Research},

volume = {123},

pages = {33–40},

abstract = {Faces are encountered in highly diverse angles in real-world settings. Despite this considerable diversity, most individuals are able to easily recognize familiar faces. The vast majority of studies in the field of face recognition have nonetheless focused almost exclusively on frontal views of faces. Indeed, a number of authors have investigated the diagnostic facial features for the recognition of frontal views of faces previously encoded in this same view. However, the nature of the information useful for identity matching when the encoded face and test face differ in viewing angle remains mostly unexplored. The present study addresses this issue using individual differences and bubbles, a method that pinpoints the facial features effectively used in a visual categorization task. Our results indicate that the use of features located in the center of the face, the lower left portion of the nose area and the center of the mouth, are significantly associated with individual efficiency to generalize a face's identity across different viewpoints. However, as faces become more familiar, the reliance on this area decreases, while the diagnosticity of the eye region increases. This suggests that a certain distinction can be made between the visual mechanisms subtending viewpoint invariance and face recognition in the case of unfamiliar face identification. Our results further support the idea that the eye area may only come into play when the face stimulus is particularly familiar to the observer. © 2016 Elsevier Ltd.},

note = {Publisher: Elsevier Ltd},

keywords = {accuracy, adult, article, association, attention, Bubbles, Evoked Potentials, eye fixation, Face, face profile, face recognition, Facial Recognition, facies, female, Fixation, human, human experiment, Humans, Image analysis, Individual differences, male, Ocular, Pattern Recognition, Photic Stimulation, photostimulation, physiology, priority journal, procedures, Psychophysics, recognition, Recognition (Psychology), regression analysis, task performance, unfamiliar face matching, viewpoint variation, Viewpoint variations, Visual, visual discrimination, visual evoked potential, visual information, visual memory, visual stimulation, visual system parameters, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{allili_likelihood-based_2015,

title = {Likelihood-based feature relevance for figure-ground segmentation in images and videos},

author = {M. S. Allili and D. Ziou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952631642&doi=10.1016%2fj.neucom.2015.04.015&partnerID=40&md5=833948d0784e0dc42c2245b9343971dd},

doi = {10.1016/j.neucom.2015.04.015},

issn = {09252312},

year  = {2015},

date = {2015-01-01},

journal = {Neurocomputing},

volume = {167},

pages = {658–670},

abstract = {We propose an efficient method for image/video figure-ground segmentation using feature relevance (FR) and active contours. Given a set of positive and negative examples of a specific foreground (an object of interest (OOI) in an image or a tracked objet in a video), we first learn the foreground distribution model and its characteristic features that best discriminate it from its contextual background. For this goal, an objective function based on feature likelihood ratio is proposed for supervised FR computation. FR is then incorporated in foreground segmentation of new images and videos using level sets and energy minimization. We show the effectiveness of our approach on several examples of image/video figure-ground segmentation. © 2015 Elsevier B.V.},

note = {Publisher: Elsevier},

keywords = {accuracy, algorithm, article, calculation, Feature relevance, Figure-ground segmentations, Gaussian mixture model (GMMs), Image analysis, Image Enhancement, image quality, Image segmentation, Level Set, linear system, mathematical analysis, mathematical model, Negative examples, priority journal, Video cameras, videorecording},

pubstate = {published},

tppubtype = {article}

}

@article{roy_efficient_2015,

title = {Efficient information for recognizing pain in facial expressions},

author = {C. Roy and C. Blais and D. Fiset and P. Rainville and F. Gosselin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929122739&doi=10.1002%2fejp.676&partnerID=40&md5=027f6da7b6d5c98c86de6a07766fb83d},

doi = {10.1002/ejp.676},

issn = {10903801 (ISSN)},

year  = {2015},

date = {2015-01-01},

journal = {European Journal of Pain (United Kingdom)},

volume = {19},

number = {6},

pages = {852–860},

abstract = {Background The face as a visual stimulus is a reliable source of information for judging the pain experienced by others. Until now, most studies investigating the facial expression of pain have used a descriptive method (i.e. Facial Action Coding System). However, the facial features that are relevant for the observer in the identification of the expression of pain remain largely unknown despite the strong medical impact that misjudging pain can have on patients' well-being. Methods Here, we investigated this question by applying the Bubbles method. Fifty healthy volunteers were asked to categorize facial expressions (the six basic emotions, pain and neutrality) displayed in stimuli obtained from a previously validated set and presented for 500 ms each. To determine the critical areas of the face used in this categorization task, the faces were partly masked based on random sampling of regions of the stimuli at different spatial frequency ranges. Results Results show that accurate pain discrimination relies mostly on the frown lines and the mouth. Finally, an ideal observer analysis indicated that the use of the frown lines in human observers could not be attributed to the objective 'informativeness' of this area. Conclusions Based on a recent study suggesting that this area codes for the affective dimension of pain, we propose that the visual system has evolved to focus primarily on the facial cues that signal the aversiveness of pain, consistent with the social role of facial expressions in the communication of potential threats. © 2015 European Pain Federation-EFIC®.},

keywords = {anger, article, association, Classification, Cues, disgust, emotion, Emotions, Facial Expression, Fear, female, happiness, human, human experiment, Humans, male, nociception, normal human, Pain, pain assessment, Pattern Recognition, Photic Stimulation, photostimulation, physiology, priority journal, procedures, random sample, reproducibility, Reproducibility of Results, sadness, statistical significance, Visual, visual information, visual stimulation},

pubstate = {published},

tppubtype = {article}

}

@article{blais_human_2013,

title = {Human visual processing oscillates: Evidence from a classification image technique},

author = {C. Blais and M. Arguin and F. Gosselin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879014749&doi=10.1016%2fj.cognition.2013.04.009&partnerID=40&md5=c2d20982fa4a5c46b9d99d2912284ff6},

doi = {10.1016/j.cognition.2013.04.009},

issn = {00100277},

year  = {2013},

date = {2013-01-01},

journal = {Cognition},

volume = {128},

number = {3},

pages = {353–362},

abstract = {Recent investigations have proposed that visual information may be sampled in a discrete manner, similarly to the snapshots of a camera, but this hypothesis remains controversial. Moreover, assuming a discrete sampling of information, the properties of this sampling-for instance, the frequency at which it operates, and how it synchronizes with the environment-still need to be clarified. We systematically modulated the signal-to-noise ratio of faces through time and examined how it impacted face identification performance. Altogether, our results support the hypothesis of discrete sampling. Furthermore, they suggest that this mechanism may operate at a rate of about 10-15. Hz and that it is synchronized with the onset of the stimulus. © 2013 Elsevier B.V.},

keywords = {amplitude modulation, article, Face, female, human, human experiment, Humans, male, normal human, oscillation, Oscillations, Pattern Recognition, Photic Stimulation, priority journal, reaction time, signal noise ratio, Signal-To-Noise Ratio, stimulus response, Temporal processing, vision, Visual, visual acuity, Visual Perception, Visual sampling, visual stimulation},

pubstate = {published},

tppubtype = {article}

}