scholarly journals Visual Hallucinations as Incidental Negative Effects of Virtual Reality on Parkinson’s Disease Patients: A Link with Neurodegeneration?

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Giovanni Albani ◽  
Elisa Pedroli ◽  
Pietro Cipresso ◽  
Daniel Bulla ◽  
Veronica Cimolin ◽  
...  

We followed up a series of 23 Parkinson’s disease (PD) patients who had performed an immersive virtual reality (VR) protocol eight years before. On that occasion, six patients incidentally described visual hallucinations (VH) with occurrences of images not included in the virtual environment. Curiously, in the following years, only these patients reported the appearance of VH later in their clinical history, while the rest of the group did not. Even considering the limited sample size, we may argue that VR immersive systems can induce unpleasant effects in PD patients who are predisposed to a cognitive impairment.

Author(s):  
Weiqin Chen ◽  
Martin Bang ◽  
Daria Krivonos ◽  
Hanna Schimek ◽  
Arnau Naval

AbstractParkinson’s disease is a neurodegenerative disorder that affects primarily motor system. Physical exercise is considered important for people with Parkinson’s disease (PD) to slow down disease progression and maintain abilities and quality of life. However, people with PD often experience barriers to exercises that causes low-level adherence to exercise plans and programs. Virtual Reality (VR) is an innovative and promising technology for motor and cognitive rehabilitation. Immersive VR exergames have potential advantages by allowing for individualized skill practice in a motivating interactive environment without distractions from outside events. This paper presents an immersive virtual reality (VR) exergame aiming at motor training on fingers and hand-and-eye coordination. The results from the usability study indicate that immersive VR exergames have potential to provide motivating and engaging physical exercise for people with PD. Through this research, we hope to contribute to evidence-based design principles for task-specific immersive VR exergames for patients with Parkinson’s Disease.


Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2168 ◽  
Author(s):  
Patricia Sánchez-Herrera-Baeza ◽  
Roberto Cano-de-la-Cuerda ◽  
Edwin Daniel Oña-Simbaña ◽  
Domingo Palacios-Ceña ◽  
Jorge Pérez-Corrales ◽  
...  

Background: Parkinson’s disease is a neurodegenerative disorder that causes impaired motor functions. Virtual reality technology may be recommended to optimize motor learning in a safe environment. The objective of this paper was to evaluate the effects of a novel immersive virtual reality technology used for serious games (Oculus Rift 2 plus leap motion controller—OR2-LMC) for upper limb outcomes (muscle strength, coordination, speed of movements, fine and gross dexterity). Another objective was to obtain qualitative data for participants’ experiences related to the intervention. Methods: A mixed methods intervention (embedded) study was used, with a qualitative design after a technology intervention (quantitative design). The intervention and qualitative design followed international guidelines and were integrated into the method and reporting subheadings. Results: Significant improvements were observed in strength (p = 0.028), fine (p = 0.026 to 0.028) and gross coordination dexterity, and speed movements (p = 0.039) in the affected side, with excellent compliance (100%) and a high level of satisfaction (3.66 ± 0.18 points out of the maximum of 4). No adverse side effects were observed. Qualitative findings described patients’ perspectives regarding OR2-LMC treatment, facilitators and barriers for adherence, OR2-LMC applications, and treatment improvements. Conclusions: The intervention showed positive results for the upper limbs, with elements of discordance, expansion, and confirmation between qualitative and quantitative results.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4825
Author(s):  
Pablo Campo-Prieto ◽  
Gustavo Rodríguez-Fuentes ◽  
José Mª Cancela-Carral

Video games have proven useful in physical rehabilitation therapy. Accessibility, however, is limited for some groups such as the elderly or patients with Parkinson’s disease (PD). We explore the potential of fully immersive video games as a rehabilitation tool in PD patients. Four patients with mild-moderate PD (3 males:1 female, 53–71 years) participated in the study. Training consisted in two immersive virtual reality video gaming sessions. Outcomes were evaluated using System Usability Scale (SUS), Simulator Sickness Questionnaire (SSQ), Game Experience Questionnaire-post game (GEQ), an ad hoc satisfaction questionnaire and perceived effort. All participants completed the sessions without adverse effects (100%), without SSQ symptoms reported. Post-gaming SUS was >75% in both sessions (range 75–80%). Post-gaming GEQ scores were 3.3–4.0/4 in both sessions. Immersive virtual reality video gaming is feasible in patients with mild-moderate PD, with positive usability and patient satisfaction, and no adverse effects.


2016 ◽  
Vol 23 ◽  
Author(s):  
Danielle Carneiro de Menezes Sanguinetti ◽  
Maria das Graças Wanderley de Sales Coriolano ◽  
Charleny Mary Ferreira de Santana ◽  
Thaisa Damasceno de Albuquerque Ângelo ◽  
Juliana Patrícia de Araújo Silva ◽  
...  

2021 ◽  
pp. 1-9
Author(s):  
Travis H. Turner ◽  
Alexandra Atkins ◽  
Richard S.E. Keefe

Background: Cognitive impairment is common in Parkinson’s disease (PD) and highly associated with loss of independence, caregiver burden, and assisted living placement. The need for cognitive functional capacity tools validated for use in PD clinical and research applications has thus been emphasized in the literature. The Virtual Reality Functional Capacity Assessment Tool (VRFCAT-SL) is a tablet-based instrument that assesses proficiency for performing real world tasks in a highly realistic environment. Objective: The present study explored application of the VRFCAT-SL in clinical assessments of patients with PD. Specifically, we examined associations between VRFCAT-SL performance and measures of cognition, motor severity, and self-reported cognitive functioning. Methods: The VRFCAT-SL was completed by a sample of 29 PD patients seen in clinic for a comprehensive neuropsychological evaluation. Fifteen patients met Movement Disorders Society Task Force criteria for mild cognitive impairment (PD-MCI); no patients were diagnosed with dementia. Non-parametric correlations between VRFCAT-SL performance and standardized neuropsychological tests and clinical measures were examined. Results: VRFCAT-SL performance was moderately associated with global rank on neuropsychological testing and discriminated PD-MCI. Follow-up analyses found completion time was associated with visual memory, sustained attention, and set-switching, while errors were associated with psychomotor inhibition. No clinical or motor measures were associated with VRFCAT-SL performance. Self-report was not associated with VRFCAT-SL or neuropsychological test performance. Conclusion: The VRFCAT-SL appears to provide a useful measure of cognitive functional capacity that is not confounded by PD motor symptoms. Future studies will examine utility in PD dementia.


2021 ◽  
pp. 026921552199517
Author(s):  
Runze Li ◽  
Yanran Zhang ◽  
Yunxia Jiang ◽  
Mengyao Wang ◽  
Wei How Darryl Ang ◽  
...  

Objective: To examine the effectiveness of rehabilitation training based on virtual reality in improving balance, quality of life, activities of daily living, and depressive symptoms of patients with Parkinson’s disease. Data sources: PubMed, EMBASE, CINAHL, Scopus, Cochrane Library, PsycINFO, ProQuest, Physiotherapy Evidence Database, IEEE Xplore, China National Knowledge Infrastructure, Wanfang, and VIP Information databases were searched from their inception to October 15, 2020. Trial registries, gray literature, and target journals were also searched. Methods: Eligible randomized controlled trials included studies with patients with Parkinson’s disease in rehabilitation training based on virtual reality. Comprehensive Meta-Analysis 3.0 software was used. Physiotherapy Evidence Database Scale and the Grading of Recommendation, Assessment, Development, and Evaluation system were used to assess the methodological quality of individual trials and the overall quality of the evidence, respectively. Results: A total of 22 randomized controlled trials with 836 patients were included. Meta-analysis revealed that training significantly improved balance ( g = 0.66, P < 0.001), quality of life ( g = 0.28, P = 0.015), activities of daily living ( g = 0.62, P < 0.001), and depressive symptoms ( g = 0.67, P = 0.021) compared to the control group. Subgroup analysis indicated that training should utilize video game consoles. Meta-regression analyses showed that age, sessions, and frequency of training had statistically significant impacts on balance scores. Quality of individual trials was high and overall evidence ranged from very low to low. Conclusion: Virtual rehabilitation training could be adopted in healthcare institutions as supplementary training for patients with Parkinson’s disease.


2020 ◽  
Vol 15 ◽  
pp. 117727192096407
Author(s):  
Lucia Farotti ◽  
Federico Paolini Paoletti ◽  
Simone Simoni ◽  
Lucilla Parnetti

Diagnosis of Parkinson’s disease (PD) relies on clinical history and physical examination, but misdiagnosis is common in early stages. Identification of biomarkers for PD may allow for early and more precise diagnosis and provide information about prognosis. Developments in analytical chemistry allow for the detection of a large number of molecules in cerebrospinal fluid (CSF), which are known to be associated with the pathogenesis of PD. Given the pathophysiology of PD, CSF α-synuclein species have the strongest rationale for use, also providing encouraging preliminary results in terms of early diagnosis. In the field of classical Alzheimer’s disease (AD) biomarkers, low CSF Aβ42 levels have shown a robust prognostic value in terms of development of cognitive impairment. Other CSF biomarkers including lysosomal enzymes, neurofilament light chain, markers of neuroinflammation and oxidative stress, although promising, have not proved to be reliable for diagnostic and prognostic purposes yet. Overall, the implementation of CSF biomarkers may give a substantial contribution to the optimal use of disease-modifying drugs.


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