Language processing following childhood poverty: Evidence for disrupted neural networks.

Childhood poverty is related to deficits in multiple cognitive domains including adult language function. It is unknown if the brain basis of language is disrupted in adults with childhood poverty backgrounds, controlling for current functioning. Fifty-one adults (age 24) from an existing longitudinal study of childhood poverty, beginning at age 9, were examined on behavioral phonological awareness (LP) and completed an event-related fMRI speech/print processing LP task. Adults from childhood poverty backgrounds exhibited lower LP in adulthood. The middle-income group exhibited greater activation of the bilateral IFG and hippocampus during language processing. In psychophysiological interaction (PPI) analyses, the childhood poverty group exhibited greater coupling between ventral Broca's and the middle temporal gyrus (MTG) as well as coupling between Wernicke's region and bilateralization. Childhood poverty disrupts language processing neural networks in adulthood, after controlling for LP, suggesting that poverty in childhood influences the neurophysiological basis for language processing into adulthood.

Intersubjectivity as an antidote to stress: Using dyadic active inference model of intersubjectivity to predict the efficacy of parenting interventions in reducing stress-through the lens of dependent origination in Buddhist Madhyamaka philosophy.

Intersubjectivity refers to one person's awareness in relation to another person's awareness. It is key to well-being and human development. From infancy to adulthood, human interactions ceaselessly contribute to the flourishing or impairment of intersubjectivity. In this work, we first describe intersubjectivity as a hallmark of quality dyadic processes. Then, using parent-child relationship as an example, we propose a dyadic active inference model to elucidate an inverse relation between stress and intersubjectivity. We postulate that impaired intersubjectivity is a manifestation of underlying problems of deficient relational benevolence, misattributing another person's intentions (over-mentalizing), and neglecting the effects of one's own actions on the other person (under-coupling). These problems can exacerbate stress due to excessive variational free energy in a person's active inference engine when that person feels threatened and holds on to his/her invalid (mis)beliefs. In support of this dyadic model, we briefly describe relevant neuroimaging literature to elucidate brain networks underlying the effects of an intersubjectivity-oriented parenting intervention on parenting stress. Using the active inference dyadic model, we identified critical interventional strategies necessary to rectify these problems and hereby developed a coding system in reference to these strategies. In a theory-guided quantitative review, we used this coding system to code 35 clinical trials of parenting interventions published between 2016 and 2020, based on PubMed database, to predict their efficacy for reducing parenting stress. The results of this theory-guided analysis corroborated our hypothesis that parenting intervention can effectively reduce parenting stress if the intervention is designed to mitigate the problems of deficient relational benevolence, under-coupling, and over-mentalizing. We integrated our work with several dyadic concepts identified in the literature. Finally, inspired by Arya Nagarjuna's Buddhist Madhyamaka Philosophy, we described abstract expressions of Dependent Origination as a relational worldview to reflect on the normality, impairment, and rehabilitation of intersubjectivity.

Compassion within conflict: Toward a computational theory of social groups informed by maternal brain physiology.

Benevolent intersubjectivity developed in parent-infant interactions and compassion toward friend and foe alike are non-violent interventions to group behavior in conflict. Based on a dyadic active inference framework rooted in specific parental brain mechanisms, we suggest that interventions promoting compassion and intersubjectivity can reduce stress, and that compassionate mediation may resolve conflicts.

Antimony and sleep health outcomes: NHANES 2009-2016.

OBJECTIVES: Following an earlier National Health and Nutrition Examination Survey (NHANES) 2005-2008 analysis, we investigated the association between urine antimony and sleep health using more recent data, new measures of sleep health, and multiple measures of urine density adjustment in NHANES 2009-2016. DESIGN: A cross-sectional study. SETTING: United States, national population-based survey. MEASUREMENTS: Multinomial logistic regression (sleep duration) and a generalized linear model with log-binomial regression (OSA, daytime sleepiness, sleep problems) were used to analyze the association of urinary antimony with sleep health outcomes. Urine creatinine and osmolality were considered, combined with statistical adjustment and standardization to account for urine density. PARTICIPANTS: A total of 8133 adult participants over 20 years of age were used using NHANES 2009-2016. RESULTS: We did not observe associations between urine antimony and short sleep duration or sleep problems. We observed mixed results for long sleep duration; there was a negative association in NHANES 2015-2016 and no association in NHANES 2009-2014. For self-reported symptoms of OSA, which were only available in 2015-2016, we observed a positive association for upper quartile urine antimony compared with the first quartile (RR = 1.24; 95% CI: 1.03, 1.50) and a test for trend, P= .02. CONCLUSION: Urinary antimony was not consistently associated with short sleep duration, long sleep duration, or sleep problems, despite the findings from a relatively recent scientific article using earlier waves of NHANES. We observed a positive association between antimony and symptoms of OSA; this cross-sectional analysis requires confirmation.