Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

1. Download : Download high-res image (173KB)
2. Download : Download full-size image

     

Multimodal examination of emotion processing systems associated with negative affectivity across early childhood

High Temperamental Negative Affectivity in early childhood has been found to predict later emotion dysregulation. While much work has been conducted to separately probe bio-behavioral systems associated with Negative Affectivity, very little work has examined the relations among multiple systems across age. In this study, we use multi-modal methods to index neurobiological systems associated with Negative Affectivity in 53 4-7-year-old children. Prefrontal activation during emotion regulation was measured using functional near-infrared spectroscopy over the lateral prefrontal cortex (PFC) while children played a game designed to elicit frustration in Social (Happy and Angry faces) and Nonsocial contexts. Gaze behaviors while free-viewing Happy and Angry faces were also measured. Finally, Negative Affectivity was indexed using a score composite based on factor analysis of parent-reported temperament. Using mixed-effects linear models, we found an age-dependent association between Negative Affectivity and both PFC activation during frustration and fixation duration on the mouth area of Happy faces, such that older children high in Negative Affectivity spent less time looking at the mouths of Happy faces and had lower PFC activation in response to frustration (ps<0.034). These results provide further insight to how Negative Affectivity may be associated with changes in affective neurobiological systems across early childhood.     

Child and family predictors of insomnia from early childhood to adolescence

BackgroundInsomnia is prevalent among children and adolescents and is associated with a wide range of negative outcomes. Knowledge about its determinants is therefore important, but due to the lack of longitudinal studies, such knowledge is limited. The aim of the present inquiry is to identify child and family predictors of future pediatric insomnia within a psycho-bio-behavioral framework.MethodsA representative community sample (n = 1,037) was followed biennially from 4 to 14 years of age (2007–2017). Insomnia was defined based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria and was diagnosed by a semistructured clinical interview of children (from age eight years of age) and parents (all ages). Predictors included parent ratings of child emotional reactivity, family functioning, and marital conflict; self-reports of personality; and teacher-rated emotion regulation skills.ResultsRandom intercept cross-lagged analyses revealed that within-person increases (ie, relative to the child's typical levels across childhood) in emotional reactivity and decreases in emotion regulation skills predicted insomnia diagnosis two years later from ages 4 to 14 after adjusting for previous insomnia and all unmeasured time-invariant factors. Previous insomnia was the strongest predictor of later insomnia, whereas family functioning and marital conflict did not predict insomnia.ConclusionsIncreases in emotional reactivity and decreases in emotion regulation skills predicted insomnia above and beyond all unmeasured time-invariant factors and could be targets for interventions. Previous insomnia predicted later insomnia, thereby underscoring the importance of detecting, preventing, and treating insomnia at an early age.     

The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Having the means to share research data openly is essential to modern science. For human research, a key aspect in this endeavor is obtaining consent from participants, not just to take part in a study, which is a basic ethical principle, but also to share their data with the scientific community. To ensure that the participants'' privacy is respected, national and/or supranational regulations and laws are in place. It is, however, not always clear to researchers what the implications of those are, nor how to comply with them. The Open Brain Consent (https://open-brain-consent.readthedocs.io) is an international initiative that aims to provide researchers in the brain imaging community with information about data sharing options and tools. We present here a short history of this project and its latest developments, and share pointers to consent forms, including a template consent form that is compliant with the EU general data protection regulation. We also share pointers to an associated data user agreement that is not only useful in the EU context, but also for any researchers dealing with personal (clinical) data elsewhere.     

Levels and variables associated with psychological distress during confinement due to the coronavirus pandemic in a community sample of Spanish adults

Due to the COVID-19 pandemic's consequences and the state of alarm, literature has shown that people worldwide have experienced severe stressors that have been associated with increased prevalence of emotional distress. In this study, we explored psychological distress (depression, anxiety, and somatization symptoms) using an online survey platform in a sample of 1,781 Spanish adults during the confinement due to COVID-19, relationships between distress and sleep problems, affect, pain, sleep, emotional regulation, gender, type of housing, history of psychopathology, and living alone during the confinement, and differences depending on demographic and psychological variables. Results showed that between 25% and 39% of the sample referred to clinically significant levels of distress. In addition, women showed higher levels of distress, negative affect, perception of pain, and cognitive reappraisal and lower levels of emotional suppression and sleep quality than men. A history of psychopathology, being younger, living alone or in a flat was associated with higher distress. Finally, the variables most strongly related to distress were negative and positive affect, levels of pain, sleep quality, and emotional suppression. Our results highlight the important role of emotional suppression, cognitive reappraisal, and loneliness and the impact of being a woman and younger in Spain during the COVID-19 pandemic. Therefore, it would be necessary to provide assessments of distress levels in these population groups and focus psychological preventive and therapeutic online interventions on expressing emotions and preventing loneliness.     

大黄素治疗代谢相关脂肪性肝病的作用机制研究进展

代谢相关脂肪性肝病既往称为非酒精性脂肪肝，与肥胖、糖尿病、高脂血症等关系密切，还明显增加心血管死亡的风险。大黄素是大黄、何首乌中主要的活性成分，具有多种生物学功能。大黄素可通过降低肝细胞脂质沉积、抑制肝脏炎症反应、抗胰岛素抵抗、抑制肝纤维化、抗氧化应激反应等多种途径对代谢相关脂肪性肝病发挥治疗作用。总结了大黄素治疗代谢相关脂肪性肝病的作用机制，为代谢相关脂肪性肝病的治疗提供参考。