@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{cote_virtual_2008,

title = {Virtual reality exposure for phobias: A critical review},

author = {S. Côté and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70749103057&partnerID=40&md5=4a4f53e70b7584deb161bd651b025e08},

issn = {17849934},

year  = {2008},

date = {2008-01-01},

journal = {Journal of Cyber Therapy and Rehabilitation},

volume = {1},

number = {1},

pages = {75–92},

abstract = {This article is a review of the literature on efficacy and outcome studies using in virtuo exposure treatments to treat specific phobias. Thirty-nine studies were examined for this review: 56% were case studies or small sample studies, 13% were studies using larger samples, but no control or comparison condition, 13% used a comparison group (waiting list, placebo), 8% used a comparative treatment condition (usually in vivo expo- sure) and 13% used both. The specific phobias that were treated in these studies were acrophobia, aviophobia, claustrophobia, arachnophobia and fear of driving. The majority of these studies demonstrated that in virtuo exposure is effective and constitutes an interesting alternative to in vivo exposure. However, as the area is still taking its first steps, more studies with stronger methodological validity (control and comparative treatment conditions) are needed. © Virtual Reality Medical Institute.},

keywords = {claustrophobia, Cognitive rehabilitation, cognitive therapy, computer system, environmental exposure, human, Human computer interaction, phobia, quality control, review, stimulus response, therapy effect, validation process, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{rizzo_challenge_2004,

title = {The challenge of using virtual reality in telerehabilitation},

author = {A. A. Rizzo and D. Strickland and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-66749092218&doi=10.1089%2ftmj.2004.10.184&partnerID=40&md5=d0f611ef679210eb0def8281bb7a5d23},

doi = {10.1089/tmj.2004.10.184},

issn = {15305627},

year  = {2004},

date = {2004-01-01},

journal = {Telemedicine and e-Health},

volume = {10},

number = {2},

pages = {184–195},

abstract = {Continuing advances in virtual reality (VR) technology along with concomitant system cost reductions have supported the development of more useful and accessible VR systems that can uniquely target a wide range of physical, psychological, and cognitive rehabilitation concerns and research questions. VR offers the potential to deliver systematic human testing, training, and treatment environments that allow for the precise control of complex dynamic three-dimensional stimulus presentations, within which sophisticated interaction, behavioral tracking, and performance recording is possible. The next step in this evolution will allow for Internet accessibility to libraries of VR scenarios as a likely form of distribution and use. VR applications that are Internet deliverable could open up new possibilities for home-based therapy and rehabilitation. If executed thoughtfully, they could increase client involvement, enhance outcomes and reduce costs. However, before this vision can be achieved, a number of significant challenges will need to be addressed and solved. This article will first present three fictional case vignettes that illustrate the ways that VR telerehabilitation might be implemented with varying degrees of success in the future. We then describe a system that is currently being used to deliver virtual worlds over the Internet for training safety skills to children with learning disabilities. From these illustrative fictional and reality-based applications, we will then briefly discuss the technical, practical, and user-based challenges for implementing VR telerehabilitation, along with views regarding the future of this emerging clinical application. © Mary Ann Liebert, Inc.},

keywords = {Clinical application, Cognitive rehabilitation, Cognitive systems, Complex dynamics, Education, Human testing, Internet, Learning disabilities, Patient rehabilitation, Precise control, Research questions, Telerehabilitation, Therapy and rehabilitation, virtual reality, Virtual worlds, VR applications, VR systems},

pubstate = {published},

tppubtype = {article}

}