Virtual Reality as a New Therapeutic Tool for Chronic Pain

Author(s):  
2020 ◽  
Vol 3 (2) ◽  
pp. 211-216
Author(s):  
Özgül ÖZTÜRK ◽  
Özlem FEYZİOĞLU
Keyword(s):  

2018 ◽  
pp. 1176-1199
Author(s):  
Diane Gromala ◽  
Xin Tong ◽  
Chris Shaw ◽  
Weina Jin

In the 1990s, when immersive Virtual Reality (VR) was first popular, researchers found it to be an effective intervention in reducing acute pain. Since that time, VR technologies have been used for treating acute pain. Although the exact mechanism is unclear, VR is thought to be an especially effective form of pain distraction. While pain-related virtual environments have built upon pain distraction, a handful of researchers have focused on a more difficult challenge: VR for long-term chronic pain. Because the nature of chronic pain is complex, pharmacological analgesics are often insufficient or unsustainable as an ideal long-term treatment. In this chapter, the authors explore how VR can be used as a non-pharmacological adjuvant for chronic pain. Two paradigms for virtual environments built for addressing chronic pain have emerged – Pain Distraction and what we term Pain Self-modulation. We discuss VR's validation for mitigating pain in patients who have acute pain, for those with chronic pain, and for addressing “breakthrough” periods of higher pain in patients with chronic pain.


Author(s):  
Bradley Chi ◽  
Brian Chau ◽  
Phillip Ta

Chronic pain affects many people worldwide with significant individual impact and societal cost. One such area involves the psychiatric co-morbidities associated with chronic pain. Despite its prevalence, the underlying mechanism of chronic pain is not fully understood although evidence suggests the importance of biologic, psychologic, and social factors in the perception of pain. Virtual reality has the potential to be a powerful therapeutic option for chronic pain. This may be due to its impact on attention, emotion, and potentially central nervous system plasticity. Virtual reality therapy has been used successfully for a variety of chronic pain conditions showing its potential. It has also been safely used in pediatric populations. However, the major current limitation is quality of evidence; therefore, future studies should aim to address this issue.


Author(s):  
Ana Belén Parra Díaz ◽  
F. Hita-Contreras ◽  
A. Martínez-Amat ◽  
María del Carmen Carcelén Fraile ◽  
R. Fabrega-Cuadros ◽  
...  
Keyword(s):  

2012 ◽  
Vol 225 (1) ◽  
pp. 105-117 ◽  
Author(s):  
Joan Llobera ◽  
Mar González-Franco ◽  
Daniel Perez-Marcos ◽  
Josep Valls-Solé ◽  
Mel Slater ◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Henry Fu ◽  
Bernie Garrett ◽  
Gordon Tao ◽  
Elliott Cordingley ◽  
Zahra Ofoghi ◽  
...  

BACKGROUND Mindfulness-based stress reduction (MBSR) has shown some evidence of efficacy in the management of chronic pain. More recently virtual reality (VR) guided meditation has been used as a technique to assist MBSR. A number of studies have also explored changes in the brain during mindfulness meditation practices, but not with use of electroencephalograph (EEG) during VR guided meditation. OBJECTIVE This pilot study explored the potential for recording and analyzing EEG during VR-experiences, and how the power of EEG wave forms, topographic mapping and coherence measures altered during a VR-guided meditation experience in participants with chronic pain associated with a cancer diagnosis METHODS Ten adult cancer chronic pain patients underwent an experimental VR-guided meditation experience whilst EEG signals were recorded during the session using a BioSemi ActiveTwo system with 64 channels in a standard 10-20 configuration. The experimental EEG recording session consisted of a resting condition (pre), three VR-guided meditation conditions (med), and a final rest condition (post) and lasted for approximately one hour in total for each participant. The EEG data collected was preprocessed to remove noise and artifacts. Power spectral density (PSD) was computed over the 50 conditions utilizing the Fast Fourier Transform method, and a topographic analysis, including coherence exploration, was undertaken. Additionally, exploratory statistical analysis for possible correlations between pain scores and EEG signal power were undertaken. RESULTS The greatest power variations between the resting and meditation conditions straddled the conventional frequency bands and had distinct onset and offset boundaries. Power in the 6-11 Hz range exhibited a difference between the Pre and Med conditions and the Post condition. In the 11-21 Hz range, power in the Pre condition was lower than Med and Post. In the 21-55 Hz range, the Med condition had the highest power level, while the Post condition had the lowest. Topographically, several peak channels emerged in the data (FCz, Oz, POz, CP5 and CP6. Coherence variations arose between the three peak channel pairs of interest (FCz and POz, FCz and Oz, CP5 and CP6). A repeated measures correlation analysis, for pain and EEG power for FCz, CP5 and CP6 showed a P-value close to 0.05 all in the 11-21 Hz frequency ranges. CONCLUSIONS This pilot study on the effect of VR-guided meditation, demonstrates the feasibility of EEG recording and subsequent data processing/analysis during VR meditative experiences. Alterations in power and coherence, mainly in 6-11 Hz and 11-21 Hz alpha-theta bandwidths were identified. Topographically, a relative decrease in the 21-55 Hz (gamma bandwidth) in the Post condition compared to the Pre condition occurred in the central-parietal regions accompanied by a change in coherence. These findings suggest that distinct altered neurophysiological brain’s signals during VR-guided meditation are detectable. CLINICALTRIAL clinicaltrials.gov: NCT 02995434


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