Children's evaluations of culturally diverse lunchbox foods.

Previous research indicates that children make ingroup-outgroup judgments based on notions of food conventionality and that ethnic minority children have been teased or bullied for bringing non-conventional foods to school. This series of three studies experimentally investigated U.S. school-age children's evaluations of culturally diverse lunchbox foods. Study 1 examined an online sample of children aged 5 to 12 years and their evaluations of foods from four cultures (mainstream American, Chinese, Indian, and Mexican) on the taste, smell, and messiness of the food, the appropriateness of bringing the food to school, and whether "cool kids" eat the food. Compared with the mainstream American lunchbox, children rated the Chinese, Indian, and Mexican lunchboxes as less tasty, more messy, and less likely that cool kids would bring those foods to school. In Studies 2 and 3, we examined children's behavioral choices in a hypothetical cafeteria. In both studies, we found that the match between children's own lunch preferences and what was displayed in the mainstream American lunchbox was the only predictor of children's choice to sit at the table with the American lunchbox. Individual variables (e.g., child age, food pickiness) and contextual variables (e.g., neighborhood diversity) did not predict children's table choices. This research highlights children's understanding of familiarity and conventionality of foods and the social consequences of their behavioral choices.

Feeding under fire: Relations between parental stress hormones and controlling feeding behaviors.

Under stress, parents tend to use more controlling feeding behaviors toward their children (Berge et al., 2017; Doan et al., 2022; Loth et al., 2016). However, the majority of prior work focuses on subjective reports of stress, and there is a dearth of research examining parental physiological stress and its impact on feeding behaviors. In the current study, we examined how parental physiological stress reactivity would influence their feeding behaviors under mild stress in a lab-based setting. Parents (n = 83, 50 % females) and their children (59% female, Mage = 42 months, SD = 4.48) participated. Stress was induced using the Trier Social Stress Test in the laboratory (Kirshbaum et al., 1993). Salivary samples were collected at 4 time points during the visit to index stress reactivity and later assayed for cortisol and DHEA. Parent-child interactions during the anticipatory period of the stress test were observationally coded for parent use of controlling feeding behaviors. To examine whether parent stress physiology predicts their feeding behaviors, we ran a Poisson regression using income, parent ethnicity, parent sex (mom/dad), time of day, and DHEA/cortisol ratio as predictors of controlling feeding behavior. Latinx parents used less controlling feeding behaviors, b = -0.323, p = 0.041 than non-Latinx parents. Parents with a higher DHEA/Cortisol ratio were less likely to use controlling feeding behaviors, b = -0.231, p = 0.008. To our knowledge, this is the first study to show that for both mothers and fathers, DHEA relative to cortisol has a protective role in controlling feeding practices, and lends support to the role of acute stress reactivity in predicting behavioral outcomes.

Hippocampal subfields and thalamic nuclei associations with clinical outcomes in multiple sclerosis: An ultrahigh field MRI study.

BACKGROUND: Previous studies have shown that thalamic and hippocampal neurodegeneration is associated with clinical decline in Multiple Sclerosis (MS). However, contributions of the specific thalamic nuclei and hippocampal subfields require further examination. OBJECTIVE: Using 7 Tesla (7T) magnetic resonance imaging (MRI), we investigated the cross-sectional associations between functionally grouped thalamic nuclei and hippocampal subfields volumes and T1 relaxation times (T1-RT) and subsequent clinical outcomes in MS. METHODS: High-resolution T1-weighted and T2-weighted images were acquired at 7T (n=31), preprocessed, and segmented using the Thalamus Optimized Multi Atlas Segmentation (THOMAS, for thalamic nuclei) and the Automatic Segmentation of Hippocampal Subfields (ASHS, for hippocampal subfields) packages. We calculated Pearson correlations between hippocampal subfields and thalamic nuclei volumes and T1-RT and subsequent multi-modal rater-determined and patient-reported clinical outcomes (∼2.5 years after imaging acquisition), correcting for confounders and multiple tests. RESULTS: Smaller volume bilaterally in the anterior thalamus region correlated with worse performance in gait function, as measured by the Patient Determined Disease Steps (PDDS). Additionally, larger volume in most functional groups of thalamic nuclei correlated with better visual information processing and cognitive function, as measured by the Symbol Digit Modalities Test (SDMT). In bilateral medial and left posterior thalamic regions, there was an inverse association between volumes and T1-RT, potentially indicating higher tissue degeneration in these regions. We also observed marginal associations between the right hippocampal subfields (both volumes and T1-RT) and subsequent clinical outcomes, though they did not survive correction for multiple testing. CONCLUSION: Ultrahigh field MRI identified markers of structural damage in the thalamic nuclei associated with subsequently worse clinical outcomes in individuals with MS. Longitudinal studies will enable better understanding of the role of microstructural integrity in these brain regions in influencing MS outcomes.

Impact of the COVID-19 Pandemic on the Personal Networks and Neurological Outcomes of People With Multiple Sclerosis: Cross-Sectional and Longitudinal Case-Control Study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has negatively affected the social fabric. OBJECTIVE: We evaluated the associations between personal social networks and neurological function in people with multiple sclerosis (pwMS) and controls in the prepandemic and pandemic periods. METHODS: During the early pandemic (March-December 2020), 8 cohorts of pwMS and controls completed a questionnaire quantifying the structure and composition of their personal social networks, including the health behaviors of network members. Participants from 3 of the 8 cohorts had additionally completed the questionnaire before the pandemic (2017-2019). We assessed neurological function using 3 interrelated patient-reported outcomes: Patient Determined Disease Steps (PDDS), Multiple Sclerosis Rating Scale-Revised (MSRS-R), and Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function. We identified the network features associated with neurological function using paired 2-tailed t tests and covariate-adjusted regressions. RESULTS: In the cross-sectional analysis of the pandemic data from 1130 pwMS and 1250 controls during the pandemic, having a higher percentage of network members with a perceived negative health influence was associated with worse disability in pwMS (MSRS-R: ß=2.181, 95% CI 1.082-3.279; P<.001) and poor physical function in controls (PROMIS Physical Function: ß=-5.707, 95% CI -7.405 to -4.010; P<.001). In the longitudinal analysis of 230 pwMS and 136 controls, the networks of all participants contracted, given an increase in constraint (pwMS-prepandemic: mean 52.24, SD 15.81; pwMS-pandemic: mean 56.77, SD 18.91; P=.006. Controls-prepandemic: mean 48.07, SD 13.36; controls-pandemic: mean 53.99, SD 16.31; P=.001) and a decrease in network size (pwMS-prepandemic: mean 8.02, SD 5.70; pwMS-pandemic: mean 6.63, SD 4.16; P=.003. Controls-prepandemic: mean 8.18, SD 4.05; controls-pandemic: mean 6.44, SD 3.92; P<.001), effective size (pwMS-prepandemic: mean 3.30, SD 1.59; pwMS-pandemic: mean 2.90, SD 1.50; P=.007. Controls-prepandemic: mean 3.85, SD 1.56; controls-pandemic: mean 3.40, SD 1.55; P=.01), and maximum degree (pwMS-prepandemic: mean 4.78, SD 1.86; pwMS-pandemic: mean 4.32, SD 1.92; P=.01. Controls-prepandemic: mean 5.38, SD 1.94; controls-pandemic: mean 4.55, SD 2.06; P<.001). These network changes were not associated with worsening function. The percentage of kin in the networks of pwMS increased (mean 46.06%, SD 29.34% to mean 54.36%, SD 30.16%; P=.003) during the pandemic, a change that was not seen in controls. CONCLUSIONS: Our findings suggest that high perceived negative health influence in the network was associated with worse function in all participants during the pandemic. The networks of all participants became tighter knit, and the percentage of kin in the networks of pwMS increased during the pandemic. Despite these perturbations in social connections, network changes from the prepandemic to the pandemic period were not associated with worsening function in all participants, suggesting possible resilience.

Association between serum multi-protein biomarker profile and real-world disability in multiple sclerosis.

Few studies examined blood biomarkers informative of patient-reported outcome (PRO) of disability in people with multiple sclerosis (MS). We examined the associations between serum multi-protein biomarker profiles and patient-reported MS disability. In this cross-sectional study (2017-2020), adults with diagnosis of MS (or precursors) from two independent clinic-based cohorts were divided into a training and test set. For predictors, we examined seven clinical factors (age at sample collection, sex, race/ethnicity, disease subtype, disease duration, disease-modifying therapy [DMT], and time interval between sample collection and closest PRO assessment) and 19 serum protein biomarkers potentially associated with MS disease activity endpoints identified from prior studies. We trained machine learning (ML) models (Least Absolute Shrinkage and Selection Operator regression [LASSO], Random Forest, Extreme Gradient Boosting, Support Vector Machines, stacking ensemble learning, and stacking classification) for predicting Patient Determined Disease Steps (PDDS) score as the primary endpoint and reported model performance using the held-out test set. The study included 431 participants (mean age 49 years, 81% women, 94% non-Hispanic White). For binary PDDS score, combined feature input of routine clinical factors and the 19 proteins consistently outperformed base models (comprising clinical features alone or clinical features plus one single protein at a time) in predicting severe (PDDS ≥ 4) versus mild/moderate (PDDS < 4) disability across multiple machine learning approaches, with LASSO achieving the best area under the curve (AUCPDDS = 0.91) and other metrics. For ordinal PDDS score, LASSO model comprising combined clinical factors and 19 proteins as feature input (R2PDDS = 0.31) again outperformed base models. The two best-performing LASSO models (i.e., binary and ordinal PDDS score) shared six clinical features (age, sex, race/ethnicity, disease subtype, disease duration, DMT efficacy) and nine proteins (cluster of differentiation 6, CUB-domain-containing protein 1, contactin-2, interleukin-12 subunit-beta, neurofilament light chain [NfL], protogenin, serpin family A member 9, tumor necrosis factor superfamily member 13B, versican). By comparison, LASSO models with clinical features plus one single protein at a time as feature input did not select either NfL or glial fibrillary acidic protein (GFAP) as a final feature. Forcing either NfL or GFAP as a single protein feature into models did not improve performance beyond clinical features alone. Stacking classification model using five functional pathways to represent multiple proteins as meta-features implicated those involved in neuroaxonal integrity as significant contributors to predictive performance. Thus, serum multi-protein biomarker profiles improve the prediction of real-world MS disability status beyond clinical profile alone or clinical profile plus single protein biomarker, reaching clinically actionable performance.

Food as a key disgust elicitor in infancy and childhood: Previous research and opportunities for future study.

Disliked foods may have important value in the study of the development of disgust. The current review draws from literature across disciplines, including theories of disgust and studies of the development of eating behavior and food preferences, to highlight food as an important category of disgust responses across a wide age range, including children as young as 3 years old and adults. Children's disgust responses to certain types of food are considered to be both innate and culturally constrained behaviors, and their perceptions of other people's food choices indicate potential links between foods and cultural groups. We end by discussing several ongoing and future research areas, including connections between disgust responses and food rejection in infancy and children's food rejection behaviors across cultures.

Mothers' intentions to vaccinate their children for COVID-19.

Parents' intentions to vaccinate their children is an important area of investigation in light of the COVID-19 pandemic. There is a growing body of research examining factors that influence parents' vaccine intentions. The current study investigated factors that would influence maternal intent to vaccinate their children for COVID-19, shortly before the CDC approved vaccines for children 11 and younger. We had a sample of n = 176 mothers (Mchildage = 71.63 months, 52% White) from California fill out an online survey during February-April 2021. Our results suggest that perceived COVID-19 threat predicts mothers' intention to vaccinate their children (b = 0.370, p < 0.001), controlling for mothers' age, socioeconomic status, race, and child age. Child age (b = 0.027, p = 0.008), SES (b = 0.396, p = 0.018), and child previous flu shot (b = 0.725, p < 0.001) also positively predicted mothers' intention to vaccinate their children. Results are discussed in light of prior research on maternal vaccine intentions and hesitancy.

Impact of the COVID-19 Pandemic on Personal Networks and Neurological Outcomes of People with Multiple Sclerosis: A Case-Control Cross-sectional and Longitudinal Analysis.

Background: The COVID-19 pandemic has negatively impacted the social fabric of people with multiple sclerosis (pwMS). Objective: To evaluate the associations between personal social network environment and neurological function in pwMS and controls during the COVID-19 pandemic and compare with the pre-pandemic baseline. Methods: We first analyzed data collected from 8 cohorts of pwMS and control participants during the COVID-19 pandemic (March-December 2020). We then leveraged data collected between 2017-2019 in 3 of the 8 cohorts for longitudinal comparison. Participants completed a questionnaire that quantified the structure and composition of their personal social network, including the health behaviors of network members. We assessed neurological disability using three interrelated patient-reported outcomes: Patient Determined Disease Steps (PDDS), Multiple Sclerosis Rating Scale â€" Revised (MSRS-R), and Patient Reported Outcomes Measurement Information System (PROMIS)-Physical Function. We identified the network features associated with neurologic disability using paired t-tests and covariate-adjusted regressions. Results: In the cross-sectional analysis of the pandemic data from 1130 pwMS and 1250 control participants, higher percent of network members with a perceived negative health influence was associated with greater neurological symptom burden in pwMS (MSRS-R: Beta[95% CI]=2.181[1.082, 3.279], p<.001) and worse physical function in controls (PROMIS-Physical Function: Beta[95% CI]=-5.707[-7.405, -4.010], p<.001). In the longitudinal analysis of 230 pwMS and 136 control participants, the networks of both pwMS and controls experienced an increase in constraint (pwMS p=.006, control p=.001) as well as a decrease in network size (pwMS p=.003, control p<.001), effective size (pwMS p=.007, control p=.013), maximum degree (pwMS p=.01, control p<.001), and percent contacted weekly or less (pwMS p<.001, control p<.001), suggesting overall network contraction during the COVID-19 pandemic. There was also an increase in percentage of kin (p=.003) in the networks of pwMS but not controls during the COVID-19 pandemic when compared to the pre-pandemic baseline. These changes in personal social network due to the pandemic were not associated with worsening neurological disability during the pandemic. Conclusions: Our findings suggest that perceived negative health influences in personal social networks are associated with worse disability in all participants during the COVID-19 pandemic. Despite the perturbation in social environment and connections during the pandemic, the stability in neurological function among pwMS suggests potential resilience.

Impact of resilience, social support, and personality traits in patients with neuroinflammatory diseases during the COVID-19 pandemic.

BACKGROUND AND OBJECTIVE: The COVID-19 pandemic negatively impacted the well-being of persons with neuroinflammatory diseases (pwNID). Identifying factors that influence the response to challenging conditions could guide supportive care. METHODS: 2185 pwNID and 1079 healthy controls (HCs) from five US centers completed an online survey regarding the effects of the COVID-19 pandemic on physical and psychological well-being. Survey instruments included resilience (Connor-Davidson Resilience Scale, CD-RISC), loneliness (UCLA Loneliness Scale), social support (modified social support survey, MSSS-5), personality traits (NEO-Five Factor Inventory, NEO-FFI), and disability (Patient-Determined Disability Steps (PDDS). Step-wise regression models and mediation analyses assessed whether the level of self-reported resilience, size of the social support, and specific personality traits (study predictors) were associated with self-reported disability and/or loneliness (study outcomes). RESULTS: The response rate varied significantly between the questionnaires. While, all pwNID completed the demographic questionnaire, 78.8% completed the loneliness questionnaire and 49.7% completed the NEO-FFI. Based on 787 responses, greater neuroticism (standardized ß = 0.312, p < 0.001), less social support (standardized ß = -0.242, p < 0.001), lower extraversion (standardized ß = -0.083, p=0.017), lower agreeableness (standardized ß = -0.119, p < 0.001), and lower resilience (standardized ß = -0.125, p = 0.002) were associated with the feeling of loneliness. Social support and resilience modestly but significantly mediated the association between personality traits and loneliness. Older age (standardized ß = 0.165, p < 0.001) and lower conscientiousness (standardized ß = -0.094, p = 0.007) were associated with worse disability (higher PDDS scores). There were no differences in outcomes between pwNID and HCs. CONCLUSION: Greater social support potentially attenuates the association between neuroticism and the feeling of loneliness in pwNID during the COVID-19 pandemic. Assessment of personality traits may identify pwNID that are in greater need of social support and guide targeted interventions.

The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis.

BACKGROUND: To examine whether lower neighborhood-level and individual-level indicators of socioeconomic status (SES) are associated with subsequently worse neurological disability in people with MS (pwMS). METHODS: In a multi-center study using prospectively collected data from discovery cohorts (University of Pittsburgh, N=1316) and replication cohorts (Columbia University, N=488), we calculated a neighborhood SES indicator, area deprivation index (ADI), based on participants' residence at enrollment, and we derived an individual SES indicator based on participants' household income. Patient-reported neurological outcomes included the Multiple Sclerosis Rating Scale-Revised (MSRS-R), Patient-Determined Disease Steps (PDDS), and Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function scores from 2018 to 2020. We performed covariate-adjusted regression analyses in each cohort and then random-effects meta-analyses. RESULTS: Higher ADI (lower SES) in 2015 was associated with subsequently worse neurological outcomes during 2018-2020 (discovery: MSRS-R, ß=0.62, 95%CI [0.36,0.89], p<0.001; PDDS, ß=0.11, 95%CI [0.02,0.20], p=0.02 | replication: MSRS-R, ß=0.46, 95%CI [0.21,0.72], p<0.001; PDDS, ß=0.12, 95%CI [0.03,0.21], p=0.009, PROMIS, ß=-0.60, 95%CI [-1.12,-0.08], p=0.025). Lower neighborhood percent with college education (MSRS-R, ß=-7.31, 95%CI [-8.99,-5.64], p<0.001; PDDS, ß=-1.62, 95%CI [-2.20,-1.05], p<0.001; PROMIS, ß=9.31, 95%CI [5.73,12.89], p<0.001), neighborhood median household income (MSRS-R, ß=-3.80e-05, 95%CI [-5.05e-05,-2.56e-05], p<0.001; PDDS, ß=-8.58e-06, 95%CI [-1.28e-05,-4.32e-06], p<0.001; PROMIS, ß=2.55e-05, 95%CI [5.96e-07,5.05e-05], p=0.045), and neighborhood median home value (MSRS-R, ß=-6.50e-06, 95%CI [-8.16e-06,-4.84e-06], p<0.001; PDDS, ß=-1.54e-06, 95%CI [-2.11e-06,-9.65e-07], p<0.001; PROMIS, ß=4.98e-06, 95%CI [1.81e-06,8.14e-06], p=0.002) drove the association between higher ADI and subsequently worse neurological disability (in joint analyses). Neighborhood percent of population with Medicaid, but not private insurance, significantly mediated the observed covariate-adjusted associations. Higher individual-level household income bracket was associated with better neurological outcomes in joint analyses (MSRS-R: R=-0.39, p<0.001; PDDS: R=-0.35, p<0.001; PROMIS: R=0.37, p<0.001), independent of ADI. CONCLUSIONS: Lower neighborhood SES is associated with subsequently worse neurological outcomes in pwMS. Future testing of targeted intervention through public policies that improve SES are warranted.

Can children report on their own picky eating? Similarities and differences with parent report.

Picky eating in childhood is associated with children's dietary outcomes and parental feeding experiences. The Child Eating Behavior Questionnaire (CEBQ) is a frequently-used parent-report survey that measures children's eating behaviors, including picky eating. Limited work has adapted the CEBQ into a child-friendly format to measure children's ability to report directly on their own picky eating behavior. We sought to extend previous research by adapting the Food Fussiness subscale of the CEBQ into a child self-report format and measuring parent-child resemblance in scores, with children as young as 3 years. Our final sample included 3- to 10-year-old children (n = 95) and their parents, who were assessed at a local children's museum. The internal consistency of parent-report on the CEBQ FF was α = 0.9 and child-report was α = 0.7, with parent scores predicting child scores when controlling for child age and child gender. The largest difference between parent and child scores on child picky eating (with parents reporting higher scores) was for 3- to 4-year-old children. Children are able to report on their own picky eating and with age their reports converge with those of their parents, highlighting the potential benefit of collecting picky eating scores from multiple informants (parent and child). We suggest future directions for the validation and extension of this measure.

Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping.

BACKGROUND: The COVID-19 pandemic has broad negative impact on the physical and mental health of people with chronic neurological disorders such as multiple sclerosis (MS). OBJECTIVE: We presented a machine learning approach leveraging passive sensor data from smartphones and fitness trackers of people with MS to predict their health outcomes in a natural experiment during a state-mandated stay-at-home period due to a global pandemic. METHODS: First, we extracted features that capture behavior changes due to the stay-at-home order. Then, we adapted and applied an existing algorithm to these behavior-change features to predict the presence of depression, high global MS symptom burden, severe fatigue, and poor sleep quality during the stay-at-home period. RESULTS: Using data collected between November 2019 and May 2020, the algorithm detected depression with an accuracy of 82.5% (65% improvement over baseline; F1-score: 0.84), high global MS symptom burden with an accuracy of 90% (39% improvement over baseline; F1-score: 0.93), severe fatigue with an accuracy of 75.5% (22% improvement over baseline; F1-score: 0.80), and poor sleep quality with an accuracy of 84% (28% improvement over baseline; F1-score: 0.84). CONCLUSIONS: Our approach could help clinicians better triage patients with MS and potentially other chronic neurological disorders for interventions and aid patient self-monitoring in their own environment, particularly during extraordinarily stressful circumstances such as pandemics, which would cause drastic behavior changes.

Worsening physical functioning in patients with neuroinflammatory disease during the COVID-19 pandemic.

OBJECTIVE: To quantify changes in psychological wellbeing and physical function as reported by people with neurological inflammatory disease (PwNID) during the COVID-19 pandemic. METHODS: 1134 PwNID and 868 control participants were recruited through five major academic medical centers in the Northeast/Mid-Atlantic U.S. beginning in April 2020. Participants completed serial surveys throughout the COVID-19 pandemic that aimed to quantify mood symptoms and physical function, analyzed cross-sectionally with a smaller cohort analyzed longitudinally. RESULTS: Throughout the pandemic, depression scores were not significantly different between PwNID and controls, although a higher proportion of PwNID reported clinically significant depression at study entry. Depression scores did not worsen over time for either group. Loneliness was the strongest predictor of worse depression, along with older age, male gender in both PwNID and controls, as well as lack of disease modifying therapy use, and disease duration in PwNID only. In contrast, physical disability worsened significantly over time for both PwNID and controls. Age, DMT status and comorbid health conditions emerged as significant predictors of physical function. CONCLUSIONS: Depressive symptoms remained consistent for both PwNID and controls throughout the COVID-19 pandemic, but physical function worsened significantly over time for both groups. This is particularly impactful for PwNID, who have higher baseline levels of physical disability, and underscores the importance of reinstituting services and interventions that facilitate exercise and reconditioning for this population.

Stressed out and fed up: The effect of stress on maternal feeding behaviors and the moderating role of executive function.

Stress is associated with a range of unhealthy eating habits, yet few studies have examined how stress may influence the intergenerational transmission of eating habits from parents to their children. Specifically, there is a lack of data regarding the role of stress on feeding practices. Moreover, most work investigating the associations between parental stress and their feeding behaviors has been correlational, limiting our understanding of causality. In the current study, we used an experimental design, induced high and low stress in mothers using a standard laboratory stressor, and observed mother-child interactions during a snack break. We also examined the potential role of maternal executive functioning (EF) for buffering the effects of stress on maternal feeding behaviors. Levels of maternal stress were manipulated with the Trier Social Stress Task (TSST) in a community sample (N = 80 dyads, Child Mage = 41.89 months, female = 43). We measured maternal EF with a series of computerized tasks. Maternal feeding behaviors were coded for controlling behaviors, which included pressuring and restricting behaviors. Results indicate a main effect of stress on controlling feeding behaviors, such that mothers in the high-stress condition exhibited higher levels of controlling behaviors. The effect of stress on controlling feeding behaviors was ameliorated among mothers with higher levels of EF after controlling for child age and income. Results provide causal evidence for the role of stress on feeding behaviors and suggest EF as a factor to be considered in the treatment and prevention of diet-related illnesses.

Does social modeling increase infants' willingness to accept unfamiliar foods?

Despite a rich knowledge base about infants' social learning and studies observing social referencing in other species in food contexts, we know surprisingly little about social learning about food among human infants. This gap in the literature is particularly surprising considering that feeding unfamiliar foods to infants is a very common experience as infants begin to eat solid foods. The present study examines whether parental social modeling influences infants' willingness to accept unfamiliar foods. In two Zoom sessions, parents will be asked to feed unfamiliar foods to their 6- to 24-month-old infants (different unfamiliar foods in each session). In both sessions, infants' food acceptance and rejection will be measured. In the first session, parents will be asked to do what they would typically do; spontaneous social modeling will be recorded. In the second session, parents will be instructed to model eating the unfamiliar food. We will examine associations between infants' willingness to eat unfamiliar foods, parent social modeling, and extant parent and infant characteristics.

Considering uncontaminated food as an early-emerging and previously ignored disgust elicitor.

The present studies examine developmental changes in the elicitors of disgust by examining adults' and children's ideas of what is disgusting. In three experiments, we asked adults and children between the ages of 3 and 12 to report what is "disgusting," what is "gross," or what might have caused someone to make a disgust face. In Study 1, parents of 3- to 12-year-old children (n = 120) were asked what they thought was disgusting and what they thought their children would find disgusting and completed a picky eating questionnaire to examine the extent to which children's eating habits may be related to disgust. In Studies 2 and 3 (n = 98 per study), children were asked what they thought was disgusting. In Study 3, children's parents also completed a questionnaire about their child's food pickiness. Typically eaten foods that were not contaminated or spoiled were frequently mentioned in all studies, both by children and their parents. There was considerable diversity in the disgust elicitors that were mentioned across participants, highlighting the importance of examining individual differences in the development of disgust. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosis.

Background: Magnetic resonance (MR) scans are routine clinical procedures for monitoring people with multiple sclerosis (PwMS). Patient discomfort, timely scheduling, and financial burden motivate the need to accelerate MR scan time. We examined the clinical application of a deep learning (DL) model in restoring the image quality of accelerated routine clinical brain MR scans for PwMS. Methods: We acquired fast 3D T1w BRAVO and fast 3D T2w FLAIR MRI sequences (half the phase encodes and half the number of slices) in parallel to conventional parameters. Using a subset of the scans, we trained a DL model to generate images from fast scans with quality similar to the conventional scans and then applied the model to the remaining scans. We calculated clinically relevant T1w volumetrics (normalized whole brain, thalamic, gray matter, and white matter volume) for all scans and T2 lesion volume in a sub-analysis. We performed paired t-tests comparing conventional, fast, and fast with DL for these volumetrics, and fit repeated measures mixed-effects models to test for differences in correlations between volumetrics and clinically relevant patient-reported outcomes (PRO). Results: We found statistically significant but small differences between conventional and fast scans with DL for all T1w volumetrics. There was no difference in the extent to which the key T1w volumetrics correlated with clinically relevant PROs of MS symptom burden and neurological disability. Conclusion: A deep learning model that improves the image quality of the accelerated routine clinical brain MR scans has the potential to inform clinically relevant outcomes in MS.

Studying Children's Eating at Home: Using Synchronous Videoconference Sessions to Adapt to COVID-19 and Beyond.

The COVID-19 pandemic has disrupted many facets of developmental research, including research that measures children's eating behavior. Here, children's food intake is often measured by weighing foods that children are offered before and after in-person testing sessions. Many studies also examine children's food ratings (the extent to which they like or dislike a food), assessed via picture categorization tasks or hedonic scales. This paper reviews existing research on different methods for characterizing children's eating behavior (with a focus on food intake, preferences, and concepts) and presents a feasibility study that examined whether children's eating behaviors at home (including their food intake and ratings) can be measured via live video-chat sessions. The feasibility analyses revealed that an observational feeding paradigm at home yielded a majority (more than 70%) of video-chat recordings that had a sufficient view of the child and adequate sound and picture quality required for observational coding for the majority of the session's duration. Such positioning would enable behavioral coding of child food intake, parent food talk, and meal characteristics. Moreover, children were able to answer questions to stories and express their preferences via researcher screen-share methods (which can assess children's self-reported food preferences and beliefs) with low rates of exclusion across studies. The article ends with a discussion on the opportunities and challenges of using online platforms to conduct studies on children's eating behaviors in their home environments during the COVID-19 pandemic and beyond.

Young children's ability to make predictions about novel illnesses.

Understanding disease transmission is a complex problem highlighted by the COVID-19 pandemic. These studies test whether 3- to 6-year-old children in the United States use information about social interactions to predict disease transmission. Before and during COVID-19, children predicted illness would spread through close interactions. Older children outperformed younger children with no associations between task performance and pandemic experience. Children did not predict that being hungry or tired would similarly spread through close interactions. Participants include 196 three- to six-year-olds (53% girls, 47% boys; 68% White, 9% Black, 7% Asian, 6% Hispanic or Latinx), with medium-sized effects (d = .6, η p 2  = .3). These findings suggest that thinking about social interaction supports young children's predictions about illness, with noted limitations regarding children's real-world avoidance of disease-spreading behaviors.

Effective Early Treatment of AChR Antibody-Positive Myasthenia Gravis with Rituximab; the Experience from a Neuroimmunology Clinic in a Developing Country.

BACKGROUND: Rituximab is reserved for treating refractory myasthenia gravis (MG) patients. Here we report our experience with rituximab in AChR antibody positive generalized MG (gMG) and impending myasthenic crisis (IMC). METHODS: This retrospective, observational study, conducted at a tertiary care, neuroimmunology clinic, analyzed the data of patients with AChR antibody positive gMG, treated with rituximab between 1st January 2016 and 30th October 2018. RESULTS: Eleven patients with AChR antibody positive gMG received rituximab. Mean age of the cohort was 50.54 ± 18.71 years with 9 males. Seven out of 11 patients received rituximab in the early stage (<2 years from onset) and had good response to treatment. Four of the 5 patients with IMC improved with rituximab alone. In the 10 patients who regularly followed up, there was a significant difference between the QMG scores at baseline and at 1, 2, 6, 12, and 18 months (P < .0001). CONCLUSION: Rituximab appears to be a potentially effective early treatment option for AChR antibody positive generalized MG and impending myasthenic crisis.