The effects of customised brainwave music on orofacial pain induced by orthodontic tooth movement

Huang, Ru; Wang, Jiayi; Wu, Dan; Long, Hu; Yang, Xinsong; Liu, H; Gao, Xin; Zhao, Rui; Lai, Wenli

doi:10.1111/odi.12542

Cited by 23 publications

(37 citation statements)

References 41 publications

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“…Cognitive behavioral therapy was a method identified as effective in controlling orthodontic pain by Sawada et al, 49 Wang et al, 50 , 51 and Zheng et al 52 The latter also reported positive results with music therapy, muscle relaxation therapy, and suggestion therapy. The positive effect of music on orthodontic pain reduction was also reported by Huang et al 53 and Xu et al 54…”

Section: Resultssupporting

confidence: 71%

Optimal management of orthodontic pain

Topolski

Moro

Correr

et al. 2018

JPR

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Pain is an undesirable side effect of orthodontic tooth movement, which causes many patients to give up orthodontic treatment or avoid it altogether. The aim of this study was to investigate, through an analysis of the scientific literature, the best method for managing orthodontic pain. The methodological aspects involved careful definition of keywords and diligent search in databases of scientific articles published in the English language, without any restriction of publication date. We recovered 1281 articles. After the filtering and classification of these articles, 56 randomized clinical trials were selected. Of these, 19 evaluated the effects of different types of drugs for the control of orthodontic pain, 16 evaluated the effects of low-level laser therapy on orthodontic pain, and 21 evaluated other methods of pain control. Drugs reported as effective in orthodontic pain control included ibuprofen, paracetamol, naproxen sodium, aspirin, etoricoxib, meloxicam, piroxicam, and tenoxicam. Most studies report favorable outcomes in terms of alleviation of orthodontic pain with the use of low-level laser therapy. Nevertheless, we noticed that there is no consensus, both for the drug and for laser therapy, on the doses and clinical protocols most appropriate for orthodontic pain management. Alternative methods for orthodontic pain control can also broaden the clinician’s range of options in the search for better patient care.

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Section: Resultssupporting

confidence: 71%

Optimal management of orthodontic pain

Topolski

Moro

Correr

et al. 2018

JPR

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“…We also used real EEG data with different references to generate brainwave music. The data was recorded in an orthodontic pain control experiment (Huang et al, 2016 ). This study was approved by the Ethics Committee of the West China Hospital of Stomatology.…”

Section: Methodsmentioning

confidence: 99%

Hearing the Sound in the Brain: Influences of Different EEG References

2018

Front. Neurosci.

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If the scalp potential signals, the electroencephalogram (EEG), are due to neural “singers” in the brain, how could we listen to them with less distortion? One crucial point is that the data recording on the scalp should be faithful and accurate, thus the choice of reference electrode is a vital factor determining the faithfulness of the data. In this study, music on the scalp derived from data in the brain using three different reference electrodes were compared, including approximate zero reference—reference electrode standardization technique (REST), average reference (AR), and linked mastoids reference (LM). The classic music pieces in waveform format were used as simulated sources inside a head model, and they were forward calculated to scalp as standard potential recordings, i.e., waveform format music from the brain with true zero reference. Then these scalp music was re-referenced into REST, AR, and LM based data, and compared with the original forward data (true zero reference). For real data, the EEG recorded in an orthodontic pain control experiment were utilized for music generation with the three references, and the scale free index (SFI) of these music pieces were compared. The results showed that in the simulation for only one source, different references do not change the music/waveform; for two sources or more, REST provide the most faithful music/waveform to the original ones inside the brain, and the distortions caused by AR and LM were spatial locations of both source and scalp electrode dependent. The brainwave music from the real EEG data showed that REST and AR make the differences of SFI between two states more recognized and found the frontal is the main region that producing the music. In conclusion, REST can reconstruct the true signals approximately, and it can be used to help to listen to the true voice of the neural singers in the brain.

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“…This study was approved by Ethical Committee of West China Hospital of Stomatology, and informed consents were signed by all the participants. Sample size was estimated based on the difference in mean of 10.41 by a similar study (Ileri et al , ) and the standard deviation of 13.86 by our recent study (Huang et al , ). With a type I of 0.05 and a power of 80%, the sample size was calculated to be 29.…”

Section: Methodsmentioning

confidence: 99%