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NeuRA Magazine #23

WHAT’S IN THIS ISSUE

The Summer 2017 issue provides a look into our research in motor neurone disease, aged driver and sleep research. It also illustrates the importance of the recently released hip fracture registry, and the award received by our distinguished scientists on its success.We recently launched NeuRAtalks, a new website were the public can access online seminars on a range of topics, all presented by our scientists and curated by our staff. The topic range form schizophrenia to depression to resilience, with more talks added weekly. We also touch base with Prof Kaarin Anstey, who will be joining us in January, to leading an innovative lab with a national research agenda to tackle ageing and dementia. Don’t forget to watch some of our video content supporting articles in this months magazine.  Finally a huge thanks for your continued support – it is our vision to prevent and cure diseases and disability of the brain and nervous system.

 Please download Here and see the full Shin Liu story Here

See what’s going on at NeuRA

FEEL THE BUZZ IN THE AIR? US TOO.

What is the analgesic effect of EEG neurofeedback for people with chronic pain? A systematic review

Researchers: A/Prof Sylvia Gustin, Dr Negin Hesam-Shariati, Dr Wei-Ju Chang, A/Prof James McAuley, Dr Andrew Booth, A/Prof Toby Newton-John, Prof Chin-Teng Lin, A/Prof Zina Trost Chronic pain is a global health problem, affecting around one in five individuals in the general population. The understanding of the key role of functional brain alterations in the generation of chronic pain has led researchers to focus on pain treatments that target brain activity. Electroencephalographic (EEG) neurofeedback attempts to modulate the power of maladaptive EEG frequency powers to decrease chronic pain. Although several studies provide promising evidence, the effect of EEG neurofeedback on chronic pain is uncertain. This systematic review aims to synthesise the evidence from randomised controlled trials (RCTs) to evaluate the analgesic effect of EEG neurofeedback. The search strategy will be performed on five electronic databases (Cochrane Central, MEDLINE, Embase, PsycInfo, and CINAHL) for published studies and on clinical trial registries for completed unpublished studies. We will include studies that used EEG neurofeedback as an intervention for people with chronic pain. Risk of bias tools will be used to assess methodological quality of the included studies. RCTs will be included if they have compared EEG neurofeedback with any other intervention or placebo control. The data from RCTs will be aggregated to perform a meta-analysis for quantitative synthesis. In addition, non-randomised studies will be included for a narrative synthesis. The data from non-randomised studies will be extracted and summarised in a descriptive table. The primary outcome measure is pain intensity assessed by self-report scales. Secondary outcome measures include depressive symptoms, anxiety symptoms, and sleep quality measured by self-reported questionnaires. Further, we will investigate the non-randomised studies for additional outcomes addressing safety, feasibility, and resting-state EEG analysis.
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