Neurofeedback has begun to attract the attention and scrutiny of the scientific and medical mainstream. Here, neurofeedback researchers present a consensus-derived checklist that aims to improve the reporting and experimental design standards in the field.
View Article and Find Full Text PDFThis pilot study evaluated the possibility that 2 interventions hypothesized to increase slower brain oscillations (e.g., theta) may enhance the efficacy of hypnosis treatment, given evidence that hypnotic responding is associated with slower brain oscillations.
View Article and Find Full Text PDFThis proof of principle study examined the potential benefits of EEG neurofeedback for increasing responsiveness to self-hypnosis training for chronic pain management. The study comprised 20 individuals with multiple sclerosis (MS) who received 5 sessions of self-hypnosis training--1 face-to-face session and 4 prerecorded sessions. Participants were randomly assigned to have the prerecorded sessions preceded by either (a) EEG biofeedback (neurofeedback) training to increase left anterior theta power (NF-HYP) or (b) a relaxation control condition (RLX-HYP).
View Article and Find Full Text PDFJ Neuroeng Rehabil
October 2015
Background: Electroencephalography (EEG) is a widely used neuroimaging technique with applications in healthcare, research, assessment, treatment, and neurorehabilitation. Conventional EEG systems require extensive setup time, expensive equipment, and expertise to utilize and therefore are often limited to clinical or laboratory settings. Technological advancements have made it possible to develop wireless EEG systems with dry electrodes to reduce many of these barriers.
View Article and Find Full Text PDFObjectives: Pain catastrophizing is thought to play a causal role in the development and maintenance of chronic pain and its negative impact on functioning. However, few studies have examined the factors that might contribute to the development and maintenance of catastrophizing. The Anterior Asymmetry and Emotion (AAE) model hypothesizes that more activity in left anterior brain regions is associated with a tendency to engage in approach responses (often, but not always, associated with positive valance), and that more right anterior activity is associated with a tendency to engage in more withdrawal responses (often associated with negative valance).
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