@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{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}

}