Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG).

Objectively and accurately assessing pain in clinical settings is challenging. Previous studies showed that alpha oscillations of electroencephalogram data are correlated with subjective perceived pain. Based on this finding, this study is aimed at assessing chronic low back pain based on alpha oscillations. Multichannel electroencephalogram data were recorded from 27 subjects with chronic low back pain under the simple conditions of closing eyes or opening eyes. Spectral analyses were conducted to extract the alpha band responses, and the alpha powers were calculated for the two conditions, respectively. Normalized alpha power was calculated by subtracting the alpha power in the eyes-open condition from that in the eyes-closed condition. The correlation between the alpha power and the subjective pain intensity was evaluated in frontal, central, and posterior regions. The normalized alpha power in the central region was negatively correlated with the subjective pain intensity (R = -0.50, P = 0.01), with the strongest correlation occurring at the Cz electrode (R = -0.59, P = 0.04). The correlation analysis results demonstrated the possibility of using the differences of alpha spectral power between eyes-closed and eyes-open conditions as a measure for assessing chronic low back pain. The findings suggest that the normalized alpha power in the central region may be used as a measurable and quantitative indicator of chronic pain for clinical applications.

Simulation-Based Arthroscopic Skills Using a Spaced Retraining Schedule Reduces Short-Term Task Completion Time and Camera Path Length.

PURPOSE: To investigate whether acquiring basic knee arthroscopic skills via a spaced retraining schedule could prevent skills deterioration and achieve further skills improvement. METHODS: In the learning phase, 16 residents with no previous hands-on experience in practicing arthroscopic skills were asked to perform basic arthroscopic tasks on a simulator until they attained perfect scores in each task. Immediately after completing the learning phase, a pretest was performed to assess their performance. Next, they were randomly assigned into 2 groups. The spaced retraining group, which undertook a spaced repetitive training phase with a fixed-time interval, returned on days 2, 4 and 6 to repeat the same tasks for 20 minutes per day, whereas the control group did nothing. On day 7, all participants performed a posttest. A 2 × 2 mixed analysis of variance model was used for statistical analysis. RESULTS: Significant differences between the 2 groups were found in task completion time (P = .003) and camera path length (P = .043) but not cartilage injury (P = .186). Residents in the spaced retraining group decreased their task completion time (163.2 ± 23.9 seconds) whereas the task time in the control group increased (351.3 ± 25.5 seconds). The same pattern was found with the camera path length. CONCLUSIONS: Implementing a spaced retraining schedule in 1 week resulted in a reduced task completion time and camera path length but no significant reduction in cartilage injury. It appears that introducing a spaced retraining schedule to retain arthroscopic skills acquired through massed learning may be advantageous. CLINICAL RELEVANCE: In consideration of the training time available to residents and the trend toward massed learning, this spaced retraining schedule may offer a cost-effective and convenient way for residents to maintain and improve their basic arthroscopic skills with no significant increase in time invested.