@article{elhajjoutFederatedLargeLanguage2026,

title = {Federated Large Language Models for A Trustworthy and Privacy-Preserving Healthcare: Applications, Challenges, and Future Research Directions},

author = {A. Elhajjout and Z. A. E. Houda and H. Moudoud and B. Brik and M. A. Jan},

url = {https://www.scopus.com/pages/publications/105034640126?origin=resultslist},

doi = {10.1109/JBHI.2026.3679612},

issn = {21682194 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {IEEE Journal of Biomedical and Health Informatics},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Large-scale foundation models, especially Federated Large Language Models (FLLMs), aim to transform digital health by enabling clinically-grade natural language processing while keeping sensitive data local. However, their adoption is hindered by two main issues: (i) the computational and communication burden of parameter-rich models on resource-constrained Internet-of-Medical-Things (IoMT) devices, and (ii) performance degradation caused by Non-Independent and Identically Distributed (Non-IID) patient data. This paper presents a comprehensive survey of Federated Learning (FL) for LLMs in Healthcare (FedMed-LLMs). We review the foundations of FL and medical LLMs. Then, we present the FL-enabled LLMs applications in healthcare, and we examine their issues in terms of privacy, robustness, and trustworthiness. Finally, we present a set of core research problems and a comprehensive research agenda that identifies future directions for building robust and scalable FedMed-LLMs systems. © 2013 IEEE.},

keywords = {Application research, Artificial intelligence, digital health, Distributed computer systems, Federated learning, Fine tuning, Health care, Health care application, Healthcare AI, human, Internet, Internet of medical thing, Internet of Medical Things, Language model, Large language model, large language models, Learning systems, male, Medical computing, natural language processing, Parameter-efficient fine-tuning, patient coding, Privacy, Privacy preservation, Privacy preserving, Privacy-preserving techniques, review, Sensitive data, trustworthiness},

pubstate = {published},

tppubtype = {article}

}

@article{azziHealthInformationTechnology2026,

title = {Health information technology acceptance by older people: a systematic review},

author = {S. Azzi and O. Daramola and S. Gagnon},

url = {https://www.scopus.com/pages/publications/105035521505?origin=resultslist},

doi = {10.1186/s12982-026-01658-y},

issn = {30050774 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Discover public health},

volume = {23},

number = {1},

publisher = {BioMed Central Ltd},

abstract = {Background: The increasing ageing population has led to the development of Health Information Technologies (HIT) for older individuals. However, there is a lack of clarity on which HIT older people are more likely to accept and the factors influencing their intention for acceptance. Methods: A systematic literature review was conducted following PRISMA guidelines. Four academic databases were searched: Scopus, PubMed, the Web of Science, and the Cumulative Index to Nursing and Allied Health Literature, which resulted in the retrieval of 4941 articles. A total of 51 primary studies from 2007 to 2025 that satisfied the inclusion criteria and were subjected to quality assessment and used for the study. This review was registered in PROSPERO (CRD 420251271463). Results: The study revealed that older people have a higher intention to accept assistive technologies over mobile health/eHealth. Older people’s HIT acceptance is influenced by personal, social, and technology design factors. There is a lack of geographical diversity of studies, with few coming from regions like Asia and Africa, hindering a global understanding of HIT acceptance factors. Notably, nearly half of the studies (45.09%) did not employ a theoretical framework, suggesting a lack of grounding in established knowledge and theoretical validity. While theories like the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology and their extensions are commonly used, other frameworks, such as the Theory of Reasoned Action, Theory of Planned Behaviour, and Social Cognitive Theory, have been underexplored. Conclusion: The study highlights the need for more rigorous research with diverse geographical representation and the application of broader theoretical perspectives to deepen understanding of HIT acceptance among older people. It also specifies the imperatives for user-centredness in developing HIT products by manufacturers. © The Author(s) 2026.},

keywords = {Acceptance, Adoption, adult, Africa, aged, aging, assistive technology, conceptual framework, Elderly people, female, Healthcare technology, human, Information retrieval, male, Medical informatics, older adults, Preferred Reporting Items for Systematic Reviews and Meta-Analyses, quality control, review, Social Cognitive Theory, systematic review, telehealth, Theory of Planned Behavior, Theory of Reasoned Action, validity, Web of Science},

pubstate = {published},

tppubtype = {article}

}

@article{cornoExploringVirtualReality2026,

title = {Exploring Virtual Reality for Body Image Assessment and Psychological Interventions in Individuals With Obesity: a Comprehensive Review},

author = {G. Corno and Á. Zamora and S. Bouchard and R. Baños and A. Baillot and J. Monthuy-Blanc},

url = {https://www.scopus.com/pages/publications/105024457568?origin=resultslist},

doi = {10.1111/obr.70051},

issn = {14677881 (ISSN)},

year  = {2026},

date = {2026-01-01},

journal = {Obesity Reviews},

volume = {27},

number = {4},

publisher = {John Wiley and Sons Inc},

abstract = {Introduction: Individuals living with obesity often experience body image (BI) disturbances, which can negatively affect their quality of life and treatment outcomes. Virtual reality (VR) has emerged as a promising tool for enhancing psychological interventions, but no comprehensive review has specifically focused on VR-based studies addressing BI disturbances in this population. Methods: This comprehensive review examined studies utilizing VR for the assessment and treatment of BI disturbances in individuals with obesity. Twelve studies met the inclusion criteria. Results: Studies were categorized into three groups: (i) VR in psychological interventions for individuals with obesity, (ii) VR interventions following metabolic and bariatric surgery, and (iii) VR-based full-body illusion experiments. The primary clinical application was experiential cognitive therapy, which demonstrated greater efficacy in reducing negative BI compared with standard cognitive behavioral therapy and other treatments. Studies involving post-metabolic and bariatric surgery adults also supported VR's efficacy in reducing BI dissatisfaction, though long-term benefits were inconsistent. Full-body illusion experiments suggested that VR can help modify distorted body perceptions. However, most studies were conducted by the same research group, focused exclusively on women, and were limited to specific geographical regions, primarily Italy. Conclusion: While preliminary results suggest that VR is a promising tool for treating BI disturbances in individuals with obesity, the field remains under-researched. Notably, no studies have explored VR's potential as an assessment tool in this population. Future studies should include more diverse populations, investigate long-term outcomes, and explore potential barriers to clinical implementation. © 2025 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.},

keywords = {adult, Anxiety disorder, Assertiveness, Bariatric Surgery, body dysmorphic disorder, body image, body image assessment, body image avoidance questionnaire, body image disturbances, body satisfaction scale, bulimia, Clinical research, cognitive behavioral therapy, cognitive therapy, Depression, electroconvulsive therapy, exercise, feeding behavior, female, follow up, gastric banding, geography, group therapy, human, Humans, Italy, low calorie diet, male, obesity, overnutrition, physical activity, procedures, psychology, psychotherapy, quality of life, review, social background, systematic review, Therapy, Three-Factor-Eating-Questionnaire, training, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{corno_exploring_2025,

title = {Exploring Virtual Reality for Body Image Assessment and Psychological Interventions in Individuals With Obesity: a Comprehensive Review},

author = {G. Corno and Á. Zamora and S. Bouchard and R. Baños and A. Baillot and J. Monthuy-Blanc},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024457568&doi=10.1111%2Fobr.70051&partnerID=40&md5=a4e0c666994e96bea80ac58862a14e09},

doi = {10.1111/obr.70051},

issn = {14677881 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Obesity Reviews},

abstract = {Introduction: Individuals living with obesity often experience body image (BI) disturbances, which can negatively affect their quality of life and treatment outcomes. Virtual reality (VR) has emerged as a promising tool for enhancing psychological interventions, but no comprehensive review has specifically focused on VR-based studies addressing BI disturbances in this population. Methods: This comprehensive review examined studies utilizing VR for the assessment and treatment of BI disturbances in individuals with obesity. Twelve studies met the inclusion criteria. Results: Studies were categorized into three groups: (i) VR in psychological interventions for individuals with obesity, (ii) VR interventions following metabolic and bariatric surgery, and (iii) VR-based full-body illusion experiments. The primary clinical application was experiential cognitive therapy, which demonstrated greater efficacy in reducing negative BI compared with standard cognitive behavioral therapy and other treatments. Studies involving post-metabolic and bariatric surgery adults also supported VR's efficacy in reducing BI dissatisfaction, though long-term benefits were inconsistent. Full-body illusion experiments suggested that VR can help modify distorted body perceptions. However, most studies were conducted by the same research group, focused exclusively on women, and were limited to specific geographical regions, primarily Italy. Conclusion: While preliminary results suggest that VR is a promising tool for treating BI disturbances in individuals with obesity, the field remains under-researched. Notably, no studies have explored VR's potential as an assessment tool in this population. Future studies should include more diverse populations, investigate long-term outcomes, and explore potential barriers to clinical implementation. © 2025 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.},

keywords = {body image, body image disturbances, obesity, review, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{jeanningros_exposure-based_2025,

title = {Exposure-Based Intervention in Virtual Reality to Address Kinesiophobia in Parkinson’s Disease: A Narrative Review},

author = {A. Jeanningros and S. Bouchard and A. Potvin-Desrochers},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025999269&doi=10.3390%2Fjcm14248837&partnerID=40&md5=9c874cbaf8739d404c31fff42aca15db},

doi = {10.3390/jcm14248837},

issn = {20770383 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Clinical Medicine},

volume = {14},

number = {24},

abstract = {Background/Objectives: Physical activity alleviates symptoms and may slow Parkinson’s disease (PD) progression, yet many individuals with PD remain sedentary. Kinesiophobia, the fear of movement, may represent a significant but underexplored psychological barrier to physical activity in this population. Virtual reality (VR), already effective in phobias, may represent a promising approach to address this challenge. This review initially aimed to systematically examine exposure-based interventions in VR (E-IVR) directly targeting kinesiophobia in PD. Methods: Database searches using keywords such as “kinesiophobia,” “fear of movement,” and “VR” combined with “PD” yielded no eligible studies. Consequently, the scope was broadened to include populations with neurological or musculoskeletal conditions, and a narrative review format was adopted to synthesize the available evidence. Furthermore, relevant studies of interventions in VR applied in PD, although not specifically addressing kinesiophobia, are detailed to provide evidence of efficacy and feasibility of VR interventions in PD. Finally, directions are offered to support the creation of E-IVR targeting kinesiophobia in individuals with PD. Results: Meta-analyses in neurological and musculoskeletal populations demonstrate moderate to large reductions in kinesiophobia following VR interventions, although effects vary depending on assessment tools, degree of immersion, and exposure design. In PD, VR has been applied to rehabilitation, anxiety reduction, and quality of life enhancement. These interventions achieved high adherence (≥90%), were well tolerated, and reported no major adverse events. Conclusions: Kinesiophobia is prevalent in PD and could contribute to physical inactivity. E-IVR appears feasible, safe, and innovative for addressing kinesiophobia in people living with PD. © 2025 by the authors.},

keywords = {avoidance behavior, chronic pain, Depression, disease exacerbation, exposure-based intervention, human, in vivo study, kinesiophobia, low back pain, Medline, musculoskeletal pain, outcome expectation, Parkinson disease, Parkinson’s disease, physical activity, quality of life, rehabilitation care, review, Scopus, Self Concept, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{jeanningrosExposureBasedInterventionVirtual2025,

title = {Exposure-Based Intervention in Virtual Reality to Address Kinesiophobia in Parkinson’s Disease: A Narrative Review},

author = {A. Jeanningros and S. Bouchard and A. Potvin-Desrochers},

url = {https://www.scopus.com/pages/publications/105025999269?origin=resultslist},

doi = {10.3390/jcm14248837},

issn = {20770383 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Clinical Medicine},

volume = {14},

number = {24},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {Background/Objectives: Physical activity alleviates symptoms and may slow Parkinson’s disease (PD) progression, yet many individuals with PD remain sedentary. Kinesiophobia, the fear of movement, may represent a significant but underexplored psychological barrier to physical activity in this population. Virtual reality (VR), already effective in phobias, may represent a promising approach to address this challenge. This review initially aimed to systematically examine exposure-based interventions in VR (E-IVR) directly targeting kinesiophobia in PD. Methods: Database searches using keywords such as “kinesiophobia,” “fear of movement,” and “VR” combined with “PD” yielded no eligible studies. Consequently, the scope was broadened to include populations with neurological or musculoskeletal conditions, and a narrative review format was adopted to synthesize the available evidence. Furthermore, relevant studies of interventions in VR applied in PD, although not specifically addressing kinesiophobia, are detailed to provide evidence of efficacy and feasibility of VR interventions in PD. Finally, directions are offered to support the creation of E-IVR targeting kinesiophobia in individuals with PD. Results: Meta-analyses in neurological and musculoskeletal populations demonstrate moderate to large reductions in kinesiophobia following VR interventions, although effects vary depending on assessment tools, degree of immersion, and exposure design. In PD, VR has been applied to rehabilitation, anxiety reduction, and quality of life enhancement. These interventions achieved high adherence (≥90%), were well tolerated, and reported no major adverse events. Conclusions: Kinesiophobia is prevalent in PD and could contribute to physical inactivity. E-IVR appears feasible, safe, and innovative for addressing kinesiophobia in people living with PD. © 2025 by the authors.},

keywords = {avoidance behavior, chronic pain, Depression, disease exacerbation, exposure-based intervention, human, in vivo study, kinesiophobia, low back pain, Medline, musculoskeletal pain, outcome expectation, Parkinson disease, Parkinson’s disease, physical activity, quality of life, rehabilitation care, review, Scopus, Self Concept, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{cornoExploringVirtualReality2025,

title = {Exploring Virtual Reality for Body Image Assessment and Psychological Interventions in Individuals With Obesity: a Comprehensive Review},

author = {G. Corno and Á. Zamora and S. Bouchard and R. Baños and A. Baillot and J. Monthuy-Blanc},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024457568&doi=10.1111%2Fobr.70051&partnerID=40&md5=a4e0c666994e96bea80ac58862a14e09},

doi = {10.1111/obr.70051},

issn = {14677881 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Obesity Reviews},

abstract = {Introduction: Individuals living with obesity often experience body image (BI) disturbances, which can negatively affect their quality of life and treatment outcomes. Virtual reality (VR) has emerged as a promising tool for enhancing psychological interventions, but no comprehensive review has specifically focused on VR-based studies addressing BI disturbances in this population. Methods: This comprehensive review examined studies utilizing VR for the assessment and treatment of BI disturbances in individuals with obesity. Twelve studies met the inclusion criteria. Results: Studies were categorized into three groups: (i) VR in psychological interventions for individuals with obesity, (ii) VR interventions following metabolic and bariatric surgery, and (iii) VR-based full-body illusion experiments. The primary clinical application was experiential cognitive therapy, which demonstrated greater efficacy in reducing negative BI compared with standard cognitive behavioral therapy and other treatments. Studies involving post-metabolic and bariatric surgery adults also supported VR's efficacy in reducing BI dissatisfaction, though long-term benefits were inconsistent. Full-body illusion experiments suggested that VR can help modify distorted body perceptions. However, most studies were conducted by the same research group, focused exclusively on women, and were limited to specific geographical regions, primarily Italy. Conclusion: While preliminary results suggest that VR is a promising tool for treating BI disturbances in individuals with obesity, the field remains under-researched. Notably, no studies have explored VR's potential as an assessment tool in this population. Future studies should include more diverse populations, investigate long-term outcomes, and explore potential barriers to clinical implementation. © 2025 The Author(s). Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.},

keywords = {body image, body image disturbances, obesity, review, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{jeanningrosExposureBasedInterventionVirtual2025a,

title = {Exposure-Based Intervention in Virtual Reality to Address Kinesiophobia in Parkinson’s Disease: A Narrative Review},

author = {A. Jeanningros and S. Bouchard and A. Potvin-Desrochers},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025999269&doi=10.3390%2Fjcm14248837&partnerID=40&md5=9c874cbaf8739d404c31fff42aca15db},

doi = {10.3390/jcm14248837},

issn = {20770383 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Clinical Medicine},

volume = {14},

number = {24},

abstract = {Background/Objectives: Physical activity alleviates symptoms and may slow Parkinson’s disease (PD) progression, yet many individuals with PD remain sedentary. Kinesiophobia, the fear of movement, may represent a significant but underexplored psychological barrier to physical activity in this population. Virtual reality (VR), already effective in phobias, may represent a promising approach to address this challenge. This review initially aimed to systematically examine exposure-based interventions in VR (E-IVR) directly targeting kinesiophobia in PD. Methods: Database searches using keywords such as “kinesiophobia,” “fear of movement,” and “VR” combined with “PD” yielded no eligible studies. Consequently, the scope was broadened to include populations with neurological or musculoskeletal conditions, and a narrative review format was adopted to synthesize the available evidence. Furthermore, relevant studies of interventions in VR applied in PD, although not specifically addressing kinesiophobia, are detailed to provide evidence of efficacy and feasibility of VR interventions in PD. Finally, directions are offered to support the creation of E-IVR targeting kinesiophobia in individuals with PD. Results: Meta-analyses in neurological and musculoskeletal populations demonstrate moderate to large reductions in kinesiophobia following VR interventions, although effects vary depending on assessment tools, degree of immersion, and exposure design. In PD, VR has been applied to rehabilitation, anxiety reduction, and quality of life enhancement. These interventions achieved high adherence (≥90%), were well tolerated, and reported no major adverse events. Conclusions: Kinesiophobia is prevalent in PD and could contribute to physical inactivity. E-IVR appears feasible, safe, and innovative for addressing kinesiophobia in people living with PD. © 2025 by the authors.},

keywords = {avoidance behavior, chronic pain, Depression, disease exacerbation, exposure-based intervention, human, in vivo study, kinesiophobia, low back pain, Medline, musculoskeletal pain, outcome expectation, Parkinson disease, Parkinson’s disease, physical activity, quality of life, rehabilitation care, review, Scopus, Self Concept, virtual reality},

pubstate = {published},

tppubtype = {article}

}

@article{savard_efficacy_2021,

title = {Efficacy of a stepped care approach to deliver cognitive-behavioral therapy for insomnia in cancer patients: A noninferiority randomized controlled trial},

author = {J. Savard and H. Ivers and M. -H. Savard and C. M. Morin and A. Caplette-Gingras and S. Bouchard and G. Lacroix},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121217599&doi=10.1093%2fsleep%2fzsab166&partnerID=40&md5=8c3390082d345b725c47465f96bb8e44},

doi = {10.1093/sleep/zsab166},

issn = {01618105 (ISSN)},

year  = {2021},

date = {2021-01-01},

journal = {Sleep},

volume = {44},

number = {11},

publisher = {Oxford University Press},

abstract = {Study Objectives: Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia, but its accessibility is very limited in routine care. A stepped care approach has been recommended as a cost-effective way to make CBT-I more widely accessible. However, no controlled study has yet been published about the efficacy of this approach. The goal of this noninferiority randomized controlled trial (RCT) was to compare the short and long-term efficacy of a stepped care CBT-I (StepCBT-I) to a standard face-to-face CBT-I (StanCBT-I). Methods: A total of 177 cancer patients were randomized to: (1) StanCBT-I (6 face-to-face CBT-I sessions; n = 59) or (2) StepCBT-I (n = 118). In the StepCBT-I group, patients with less severe insomnia first received a web-based CBT-I (n = 65), while those with more severe insomnia received 6 face-to-face CBT-I sessions (n = 53). In both cases, patients could receive up to three booster sessions of CBT-I if they still had insomnia symptoms following this first step. Results: Results indicated that the Step-CBT-I group showed an Insomnia Severity Index score reduction and a sleep efficiency (on a sleep diary) increase that was not significantly inferior to that of StanCBT-I at all post-treatment time points. Analyses of secondary outcomes indicated significant time effects (ps <. 001) and no significant group-by-time interactions (ps from. 07 to. 91) on other sleep diary parameters, sleep medication use, depression, anxiety, fatigue, and quality of life scores. Conclusion(s): The efficacy of stepped care CBT-I is not inferior to that of a standard face-to-face intervention and is a valuable approach to making this treatment more widely accessible to cancer patients. Trial registration: ClinicalTrials.gov Identifier: NCT01864720 (https://clinicaltrials.gov/ct2/show/NCT01864720?term=Savard&draw=2&rank=6; Stepped Care Model for the Wider Dissemination of Cognitive-Behavioural Therapy for Insomnia Among Cancer Patients). © 2021 Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society.},

note = {Publisher: Oxford University Press},

keywords = {adult, Anxiety, Anxiety disorder, cancer, cancer diagnosis, cancer patient, cognitive behavioral therapy, Cognitive-behavioral therapy, comparative study, complication, controlled study, cost effectiveness analysis, Depression, disease severity, drug use, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, fatigue, female, Hospital Anxiety and Depression Scale, human, Humans, insomnia, Insomnia Severity Index, long term care, major clinical study, male, malignant neoplasm, Middle Aged, Montreal cognitive assessment, neoplasm, Neoplasms, outcome assessment, procedures, psychotropic agent, quality of life, randomized controlled trial, remission, review, Self Care, short course therapy, sleep, sleep efficiency, Sleep Initiation and Maintenance Disorders, sleep pattern, stepped care, stepped care approach, Structured Clinical Interview for DSM Disorders, therapy effect, treatment outcome, web-based intervention},

pubstate = {published},

tppubtype = {article}

}

@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}

}