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better understand and prevent symptoms.

Interoception refers to the process of identifying and listening to internal bodily signals, which may be a modifiable determinant of appetite regulation and weight gain. The objective was to examine whether the extent to which self-reported interoception is associated with higher BMI is explained by eating behavior traits.

UK adults (N=1181, 49% female, 53% with overweight/obesity) completed validated self-report measures of interoception, habitual tendencies to eat in response to satiety signals (intuitive eating), emotional over-eating and other eating traits.

Poorer self-reported ability to detect interoceptive signals (deficits in interoceptive accuracy) was predictive of higher BMI (r=- 0.07 (95% CI -0.13; -0.01), p < .05). In parallel mediation analyses, participants with poorer interoceptive accuracy were significantly less likely to report considering satiety signals when eating and this explained the cross-sectional association between interoceptive accuracy and higher BMI. There was also some evidence that participants with poorer interoceptive accuracy were more likely to report emotional overeating and this also in part explained why interoceptive accuracy was predictive of higher BMI.

Deficits in interoception may decrease the likelihood that satiety signals are integrated into eating behaviour related decision making and in doing so contribute to higher BMI.

Deficits in interoception may decrease the likelihood that satiety signals are integrated into eating behaviour related decision making and in doing so contribute to higher BMI.Autism spectrum disorder (ASD) is defined by two core behavioral characteristics, namely, restricted repetitive behaviors and impaired social-communicative functioning. BTBR T+ltpr3tf/J (BTBR) mice provide a valuable animal model for ASD to elucidate the underlying mechanisms of these two behavioral characteristics of ASD. This study examined the social function of excessive grooming behavior in BTBR mice as a phenotype of restricted repetitive behaviors. Compared to the control C57BL/6 J (B6) strain, BTBR mice showed increased self-grooming when placed alone in a test apparatus, and this behavior was even more evident when confronted with a stimulus mouse (either B6 or BTBR) in a three-chamber test apparatus. While B6 mice tended to groom their face/snout region on the empty side of the chamber, BTBR mice showed excessive grooming with frequent transitions among grooming body regions on the side of the chamber containing a social stimulus. Acute systemic injection of buspirone,a serotonin 1A receptor agonist, as an anxiolytic, facilitated approach behavior toward social stimuli in the three-chamber setting in both B6 and BTBR mice. However, this treatment did not affect grooming behavior in B6 mice and significantly enhanced self-grooming in BTBR mice. These behaviors in BTBR mice suggest a potential signaling function of grooming in response to social stimuli, in which bodywide grooming of BTBR mice expressed in the proximity of social opponents may stimulate the release of olfactory (possibly dismissive) signals. Consequently, the putative neural mechanisms underlying excessive grooming may differ from those regulating social approaches that are associated with anxiolytic mechanisms.

To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images.

Evaluation of a diagnostic technology.

A total of 2408 10-2 visual field (VF) SD OCT pairs and 2999 24-2 VF SD OCT pairs collected from 645 healthy and glaucoma subjects (1222 eyes).

Deep learning models were trained on thickness maps from Spectralis macula SD OCT to estimate 10-2 and 24-2 VF mean deviation (MD) and pattern standard deviation (PSD). Individual and combined DL models were trained using thickness data from 6 layers (retinal nerve fiber layer [RNFL], ganglion cell layer [GCL], inner plexiform layer [IPL], ganglion cell-IPL [GCIPL], ganglion cell complex [GCC] and retina). Linear regression of mean layer thicknesses were used for comparison.

Deep learning models were evaluated using R

and mean absolute error (MAE) compared with 10-2 and 24-2 VF measurements.

Combined DL models estimating 10-2 achieved R

of 0.82 (95% confidence interval [CI], 0.68-0.89) for MD and ng models improved estimates of functional loss from SD OCT imaging. Accurate estimates can help clinicians to individualize VF testing to patients.This paper presents comparative hemagglutination inhibition (HI) assay data obtained using ferret or rat antisera to analyze influenza viruses. The results indicate that rat antisera can be successfully applied both for identification and for antigenic analysis of human influenza A and B viruses. Data gained with rat antisera were comparable to those obtained with ferret antisera. check details In-depth statistical analysis, based on Confusion Matrix analysis and Receiver Operating Characteristic (ROC) analysis, confirmed good coincidence between ferret antisera-based and rat antisera-based results. Two-dimensional antigenic mapping, based on HI assays using rat and ferret antisera, supported these findings. Both antisera types yielded identical antigenic attributions for the viruses analyzed, and both permitted visualization of contemporary human influenza virus evolutionary trends.

recent years have been characterized by a great technological and clinical development in spine surgery. In particular, enhanced recovery after surgery (ERAS) programs, started to gain interest also in this surgical field. Here we tried to analyse the current state of art of ERAS technique in spine surgery.

A systematic review of the literature has been performed in order to find all the possible inclusions. Using the PRISMA guidelines, a search of the PubMed/Medline, Web of Science, Cochrane Reviews, Embase, Medline databases was conducted to identify all full-text articles in the English-language literature describing the use of ERAS programs or techniques for spine surgery in adult patients.

out of the 827 studies found, only 21 met the inclusion criteria has been retained to be included in the present study. The most frequently benefits of ERAS protocols were shorter hospitalisations (n = 15), and decreased complication rates (n = 8) lower postoperative pain scores (n = 4). These benefits were seen in the 3 main categories considered lumbar spine surgeries, surgeries for correction of scoliosis or deformity, and surgeries of the cervical spine Conclusion There are an arising amount of data showing that the use of ERAS programs could be helpful in reducing the days of hospitalizations and the number of complications for certain spinal procedures and in a highly selected group of patients.

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