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BACKGROUND: Mindfulness-based stress reduction has demonstrated some efficacy for chronic pain management. More recently, virtual reality (VR)-guided meditation has been used to assist mindfulness-based stress reduction. Although studies have also found electroencephalograph (EEG) changes in the brain during mindfulness meditation practices, such changes have not been demonstrated during VR-guided meditation. OBJECTIVE: This exploratory study is designed to explore the potential for recording and analyzing EEG during VR experiences in terms of the power of EEG waveforms, topographic mapping, and coherence. We examine how these measures changed during a VR-guided meditation experience in participants with cancer-related chronic pain. METHODS: A total of 10 adult patients with chronic cancer pain underwent a VR-guided meditation experience while EEG signals were recorded during the session using a BioSemi ActiveTwo system (64 channels, standard 10-20 configuration). The EEG recording session consisted of an 8-minute resting condition (pre), a 30-minute sequence of 3 VR-guided meditation conditions (med), and a final rest condition (post). Power spectral density (PSD) was compared between each condition using a cluster-based permutation test and across conditions using multivariate analysis of variance. A topographic analysis, including coherence exploration, was performed. In addition, an exploratory repeated measures correlation was used to examine possible associations between pain scores and EEG signal power. RESULTS: The predominant pattern was for increased ß and γ bandwidth power in the meditation condition (P<.025), compared with both the baseline and postexperience conditions. Increased power in the δ bandwidth was evident, although not statistically significant. The pre versus post comparison also showed changes in the θ and α bands (P=.02) located around the frontal, central, and parietal cortices. Across conditions, multivariate analysis of variance tests identified 4 clusters with significant (P<.05) PSD differences in the δ, θ, ß, and γ bands located around the frontal, central, and parietal cortices. Topographically, 5 peak channels were identified: AF7, FP2, FC1, CP5, and P5, and verified the changes in power in the different brain regions. Coherence changes were observed primarily between the frontal, parietal, and occipital regions in the θ, α, and γ bands (P<.0025). No significant associations were observed between pain scores and EEG PSD. CONCLUSIONS: This study demonstrates the feasibility of EEG recording in exploring neurophysiological changes in brain activity during VR-guided meditation and its effect on pain reduction. These findings suggest that distinct altered neurophysiological brain signals are detectable during VR-guided meditation. However, these changes were not necessarily associated with pain. These exploratory findings may guide further studies to investigate the highlighted regions and EEG bands with respect to VR-guided meditation. TRIAL REGISTRATION: ClinicalTrials.gov NCT00102401; http://clinicaltrials.gov/ct2/show/NCT00102401.

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Headaches and pain-related symptoms are the most disabling somatic complaints following mild traumatic brain injury (mTBI). In this study, we reviewed the existing literature examining structural differences in brain morphology and axonal connections, as well as functional differences in brain activity and connectivity associated with pain or post-traumatic headache (PTH) following mTBI. We searched MEDLINE®, Embase, PubMed, Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials, and Web of Science databases for: (1) TBI OR concussion OR post-concussion syndrome; (2) pain OR headache; and (3) magnetic resonance imaging OR functional MRI OR diffusion tensor imaging. Inclusion criteria were that articles be original studies written in English about participants with mTBI or concussion diagnosis with results reported about pain and/or headache. Excluded were review articles, case studies, documentaries, and studies related to moderate to severe TBI. Quality was assessed using the Newcastle-Ottawa Scale (NOS) quality assessment tool. Nineteen out of 3439 studies satisfied the inclusion and exclusion criteria. Participants with pain-related symptoms had lower cortical thickness in frontal and parietal cortical areas and spinothalamic tract volume. Differences in axonal connectivity were displayed in the corpus callosum, spinothalamic tract, fornix-septohippocampal circuit, and periaqueductal gray. Less activation in pain-related regions during a heat-pain task-based fMRI was reported in participants with PTH. In conclusion, individuals with pain following mTBI display differences in brain structure and brain function, suggesting irregularities in the descending pain modulatory system. These findings primarily provide information on neuroimaging differences in adults; there is limited research in pediatric populations.

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Persistent post-concussion symptoms (PCS) in children following a mild traumatic brain injury (mTBI) are a growing public health concern. There is a pressing need to understand the neural underpinning of PCS. Here, we examined whole-brain functional connectivity from resting-state fMRI with behavioral assessments in a cohort of 110 children with mTBI. Children with mTBI and controls had similar levels of connectivity. PCS symptoms and behaviors including poor cognition and sleep were associated with connectivity within functional brain networks. The identification of a single "positive-negative" dimension linking connectivity with behaviors enables better prognosis and stratification toward personalized therapeutic interventions.

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