BACKGROUND
Chemotherapy-induced peripheral neuropathy (CIPN) is a significant problem for cancer patients, and there are limited treatment options for this often debilitating condition. Neuromodulatory interventions could be a novel modality for patients trying to manage CIPN symptoms; however, they are not yet the standard of care. This study examined whether electroencephalogram (EEG) neurofeedback (NFB) could alleviate CIPN symptoms in survivors.
METHODS
This was a randomized controlled trial with survivors assigned to an NFB group or a wait-list control (WLC) group. The NFB group underwent 20 sessions of NFB, in which visual and auditory rewards were given for voluntary changes in EEGs. The Brief Pain Inventory (BPI) worst-pain item was the primary outcome. The BPI, the Pain Quality Assessment Scale, and EEGs were collected before NFB and again after treatment. Outcomes were assessed with general linear modeling.
RESULTS
Cancer survivors with CIPN (average duration of symptoms, 25.3 mo), who were mostly female and had a mean age of 62.5 years, were recruited between April 2011 and September 2014. One hundred percent of the participants starting the NFB program completed it (30 in the NFB group and 32 in the WLC group). The NFB group demonstrated greater improvement than the controls on the BPI worst-pain item (mean change score, −2.43 [95% confidence interval, −3.58 to −1.28] vs 0.09 [95% confidence interval, −0.72 to −0.90]; P 5 .001; effect size, 0.83).
CONCLUSIONS
NFB appears to be effective at reducing CIPN symptoms. There was evidence of neurological changes in the cortical location and in the bandwidth targeted by the intervention, and changes in EEG activity were predictive of symptom reduction.
Over the last decade, marriage and family therapy (MFT) researchers have developed a growing interest in qualitative research. In this article, we review substantive and methodological trends in the published qualitative studies within the MFT field. The research is compared and contrasted in the following areas: General topic, epistemological theory, methodological theory, sampling and sample, data collection, data analysis procedure, and approach to reliability and validity. We also provide recommendations for future research.
Introduction. A 43-year-old Caucasian woman presented with a series of physical and mental deficits following a right hemisphere cerebral artery embolus suffered at age 42. Method. For both the pretreatment and posttreatment evaluation, the client's EEG data were collected. Prior to beginning neurofeedback a self-developed symptom checklist was provided to the participant and was repeated every 10 sessions. The participant received 52 neurofeedback sessions with the use of Neurocybernetics equipment. To determine statistical changes between the pretreatment and posttreatment conditions, average cross-spectral matrices were computed for bands delta (1-3.5 Hz), theta (3.5-7.5 Hz), alpha (7.5-12.5 Hz), beta1 (12.5-25 Hz), beta2 (25-32 Hz), and gamma (37-47 Hz). In this study the pretreatment cross-spectra for each epoch were then compared to the posttreatment epoch cross-spectra using the previously mentioned frequency band ranges. For each condition, cross-spectral matrices were computed and averaged over 2-s epochs resulting in one cross-spectral matrix for each epoch and for each of the discrete frequencies within each band. Based on previous LORETA analyses, we used a rectangular window. No time frame or frequency wise normalization was performed. Results. Following treatment, comparative QEEG and eLoreta analyses illustrated significant decreases in the absolute and relative power theta measures and significant elevations of absolute and relative power occipital beta. These findings correspond to client self-report data demonstrating improvement in cognitive functioning and depressed mood. Conclusion. Overall, findings suggest the utility of neurofeedback for the treatment of stroke, with particular gains noted in the areas of cognitive functioning, sleep quality, emotional regulation, and energy.
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