Developing a Performance Brain Training™ approach for baseball: a process analysis with descriptive data.

Neurofeedback may be useful for improving sports performance but few studies have examined this potential. Here we present data of five development players from a major league baseball team. The aims were to evaluate the feasibility of conducting sessions within a professional organization, assess changes in quantitative electroencephalograph (QEEG), NeuroPerformance Profile™, and report qualitative self-report data before and after brain training. The EEG was recorded with 19 electrodes for 20 min of baseline conditions and approximately 21 min of a continuous performance test. The fast Fourier transform analysis provided average cross-spectral matrices for bands delta (1-3.5 Hz), theta (4-7.5 Hz), alpha (8-12 Hz), low beta (13-16 Hz), beta 1 (13-21 Hz), beta 2 (22-32 Hz), and gamma (32-45 Hz) from the pre and post intervention evaluations in the baseline condition of eyes open. The continuous performance test metrics included the errors of omission, errors of commission, response time and response time variability. The 9 scales of the NeuroPerformance Profile™ were examined. The QEEG data, CPT data and NeuroPerformance Profile™ data were all compared between the pre and post 15 sessions of brain training using a within subject paired t test design corrected for multiple comparisons using false discovery rate method. Following brain training, comparative QEEG, CPT and NeuroPerformance Profile™ analyses illustrated significant differences. The QEEG findings of all participants illustrated significant changes within the training parameters but also across other frequency bands and electrode sites. Overall, the positive findings in both objective and subjective measures suggest further inquiry into the utility of brain training for performance enhancement with the specific application of sport is warranted. Particularly QEEG and CPT gains were noted in the areas that correspond to client self-report data demonstrating improvement in attention, decreased intrusive thought patterns and improvements in sleep patterns.

Type D personality is not associated with coronary heart disease risk in a North American sample of retirement-aged adults.

BACKGROUND: Type D personality is associated with recurrent coronary heart disease (CHD) risk but there is limited and inconsistent evidence regarding incident risk among persons free of clinical CHD. PURPOSE: We examined the association between Type D personality and coronary heart disease (CHD) risk in apparently healthy adults. We also explored the association of these traits with waist circumference, body mass index (BMI), and inhibited physician consultation behavior. METHODS: Cross-sectional study of North American retirement-aged residents (N = 303). The primary outcome variable was a modified 10-year absolute CHD risk score from the Framingham Heart Study. Secondary outcomes included adiposity and a 5-item measure of patient/provider interaction inhibition. We regressed CHD risk on negative affect (NA), social inhibition (SI), and the NAxSI interaction (i.e., the Type D personality) and repeated these analyses for adiposity and for patient/provider interaction inhibition. We also contrasted CHD risk across Type D and non-Type D categories. RESULTS: None of the personality variables were associated with CHD risk for the whole sample (regression coefficients from −0.11 to .10, Ps > 0.29) or in gender-specific analyses. For adiposity, NA was positively associated and SI was negatively associated with BMI in women (Ps < 0.05), but there were no other personality associations. Patient/provider interaction inhibition was associated with SI (P < 0.001) but not NA or the NAxSI interaction (P = 0.42). The contrast between Type D and non-Type D personality revealed no differences in CHD risk (P = 0.93). CONCLUSIONS: Neither Type D nor its constituent NA and SI traits were associated with absolute incident CHD risk in retirement-aged adults free of reported CHD. Optimal analytic practices and attention to patient/provider interaction behavior will improve our understanding of the association between Type D personality traits and health.