No abstract

No abstract

The relation between obesity and stroke outcome has been disputed. This study was aimed to determine the association of body mass index (BMI) with mortality and functional outcome in patients with acute ischemic stroke. Data were from a national, multi-centre, prospective, hospital-based register: the ChinaQUEST (Quality Evaluation of Stroke Care and Treatment) study. Of 4782 acute ischemic stroke patients, 282 were underweight (BMI < 18.5 kg/m2), 2306 were normal-weight (BMI 18.5 to < 24 kg/m2), 1677 were overweight (BMI 24 to <28 kg/m2) and 517 were obese (BMI ≥ 28 kg/m2). The risks of death at 12 months and death or high dependency at 3 and 12 months in overweight (HR: 0.97, 95% CI: 0.78–1.20; OR: 0.93, 95% CI: 0.80–1.09; OR: 0.95, 95% CI: 0.81–1.12) and obese patients (HR: 1.07, 95% CI: 0.78–1.48; OR: 0.96, 95% CI: 0.75–1.22; OR: 1.06, 95% CI: 0.83–1.35) did not differ from normal-weight patients significantly after adjusting for baseline characteristics. Underweight patients had significantly increased risks of these three outcomes. In ischemic stroke patients, being overweight or obese was not associated with decreased mortality or better functional recovery but being underweight predicted unfavourable outcomes.

No abstract

No abstract

No abstract

No abstract

The most prominent problem in virtual reality (VR) technology is that users may experience motion-sickness-like symptoms when they immerse into a VR environment. These symptoms are recognized as visually induced motion sickness (VIMS) or virtual reality motion sickness. The objectives of this study were to investigate the association between the electroencephalogram (EEG) and subjectively rated VIMS level (VIMSL) and find EEG markers for VIMS evaluation. A VR-based vehicle-driving simulator was used to induce VIMS symptoms, and a wearable EEG device with four electrodes (the Muse) was used to collect EEG data. The results suggest that individual tolerance, susceptibility, and recoverability to VIMS varied largely among subjects; the following markers were shown to be significantly different from no-VIMS and VIMS states (P < 0.05): (1) means of gravity frequency (GF) for theta@FP1, alpha@TP9, alpha@FP2, alpha@TP10, and beta@FP1; (2) standard deviation of GF for alpha@TP9, alpha@FP1, alpha@FP2, alpha@TP10, and alpha@(FP2‐FP1); (3) standard deviation of power spectral entropy for FP1; (4) means of Kolmogorov complexity (KC) for TP9, FP1, and FP2. These results also demonstrate that it is feasible to perform VIMS evaluation using an EEG device with a few electrodes.