Neurofeedback with low-cost, wearable electroencephalography (EEG) reduces symptoms in chronic Post-Traumatic Stress Disorder.

BACKGROUND: The study examines the effectiveness of both neurofeedback and motor-imagery brain-computer interface (BCI) training, which promotes self-regulation of brain activity, using low-cost electroencephalography (EEG)-based wearable neurotechnology outside a clinical setting, as a potential treatment for post-traumatic stress disorder (PTSD) in Rwanda. METHODS: Participants received training/treatment sessions along with a pre- and post- intervention clinical assessment, (N = 29; control n = 9, neurofeedback (NF, 7 sessions) n = 10, and motor-imagery (MI, 6 sessions) n = 10). Feedback was presented visually via a videogame. Participants were asked to regulate (NF) or intentionally modulate (MI) brain activity to affect/control the game. RESULTS: The NF group demonstrated an increase in resting-state alpha 8-12 Hz bandpower following individual training sessions, termed alpha 'rebound' (Pz channel, p = 0.025, all channels, p = 0.024), consistent with previous research findings. This alpha 'rebound', unobserved in the MI group, produced a clinically relevant reduction in symptom severity in NF group, as revealed in three of seven clinical outcome measures: PCL-5 (p = 0.005), PTSD screen (p = 0.005), and HTQ (p = 0.005). LIMITATIONS: Data collection took place in environments that posed difficulties in controlling environmental factors. Nevertheless, this limitation improves ecological validity, as neurotechnology treatments must be deployable outside controlled environments, to be a feasible technological treatment. CONCLUSIONS: The study produced the first evidence to support a low-cost, neurotechnological solution for neurofeedback as an effective treatment of PTSD for victims of acute trauma in conflict zones in a developing country.

Impact of weight management nutrition interventions on dietary outcomes in children and adolescents with overweight or obesity: a systematic review with meta-analysis.

BACKGROUND: The impact of obesity interventions on dietary intake in children and adolescents with overweight or obesity is unclear. This systematic review aimed to investigate the impact of the dietary component of weight management interventions on the change in diet in children and adolescents with overweight or obesity. METHODS: Eligible randomised controlled trials (RCTs) published between 1975 and 2020 were identified by a systematic search following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Meta-analyses of eligible study outcomes were performed using statistical software. A multilevel random effects model was used with three significant random effects fitted using restricted maximum likelihood estimation. RESULTS: This review identified 109 RCTs, including 95 that reported at least one statistically significant dietary outcome change and 14 reporting no significant dietary change. Results from the meta-analyses (n = 29 studies) indicated that, compared to control groups, intervention groups achieved significantly greater reductions in mean total energy intake at ≤6 months (-194 kcal day-1 , 95% confidence interval = -275.80 to -112.90 kcal day-1 , P < 0.001) and up to 12 months (-112 kcal day-1 95% confidence interval = -218.92 to -5.83 kcal day-1 ) P = 0.038), increases in fruit and/or vegetable intakes over 2-12 months (n = 34, range +0.6 to +1.5 servings day-1 ) and reductions in consumption of sugar-sweetened beverages (n = 28, range -0.25 to -1.5 servings day-1 ) at 4-24 months follow-up. CONCLUSIONS: Obesity interventions with a dietary component have a modest but sustained impact on reducing total energy intake and improving intakes of specific food groups in children and adolescents with overweight or obesity. High quality RCTs that are powered to detect change in diet as a primary outcome are warranted.