The purpose of the present study was to evaluate the performance of a low-cost commercial smartwatch, the Xiaomi Mi Band (MB), in extracting physical activity and sleep-related measures and show its potential use in addressing questions that require large-scale real-time data and/or intercultural data including low-income countries. We evaluated physical activity and sleep-related measures and discussed the potential application of such devices for large-scale step and sleep data acquisition. To that end, we conducted two separate studies. In Study 1, we evaluated the performance of MB by comparing it to the GT3X (ActiGraph, wGT3X-BT), a scientific actigraph used in research, as well as subjective sleep reports. In Study 2, we distributed the MB across four countries (Austria, Germany, Cuba, and Ukraine) and investigated physical activity and sleep among these countries. The results of Study 1 indicated that MB step counts correlated highly with the scientific GT3X device, but did display biases. In addition, the MB-derived wake-up and total-sleep-times showed high agreement with subjective reports, but partly deviated from GT3X predictions. Study 2 revealed similar MB step counts across countries, but significant later wake-up and bedtimes for Ukraine than the other countries. We hope that our studies will stimulate future large-scale sensor-based physical activity and sleep research studies, including various cultures.

Our study aimed to assess the change in the sleep patterns during the Coronavirus lockdown in five regions (Austria/Germany, Ukraine, Greece, Cuba and Brazil), using online surveys, translated in each language. Part of the cohort (age 25–65, well-educated) was collected directly during lockdown, to which retrospective cross-sectional data from and after lockdown (retrospective) questionnaires were added. We investigated sleep times and sleep quality changes from before to during lockdown and found that, during lockdown, participants had (i) worse perceived sleep quality if worried by COVID-19, (ii) a shift of bedtimes to later hours during workdays, and (iii) a sleep loss on free days (resulting from more overall sleep during workdays in non-system relevant jobs), leading to (iv) a marked reduction of social jetlag across all cultures.

Introduction: Early language development in infants is being increasingly studied, though only recently with direct measurements of brain activity rather than with behavioral or physiological measurements. In the current study, we use electroencephalographic (EEG) recordings of 2-week-old infants to look for signs of prenatal learning and to investigate newborns’ abilities to process language. We also look at the influence of prenatal stress factors and at the predictive value of the newborns’ language processing abilities for later language development. Methods: Sixty pregnant women played a rhyme to their abdomen twice a day from the 34 ^th week of pregnancy until birth, to familiarize the fetus with the rhyme. At around 2 weeks after delivery (mean age 16 days), the newborns were exposed to the familiar rhyme as well as to an unfamiliar one while their EEG was recorded. Additionally, three manipulations of the familiar rhyme were played: (1) low-pass filtered, (2) with changed rhythm, and (3) inverted and played backwards. The data was analyzed to see how well the infant brain signal followed the speech envelope in each condition. Accounting for the heterogenous approach used for neural speech tracking in the literature, we used four methods, namely: (1) coherence, (2) Hilbert coherence, (3) temporal response functions (TRF), and (4) mutual information (MI). The maternal prenatal depression was evaluated with Edinburgh Prenatal Depression Score and the chronic fetal stress was measured from the hair cortisol levels of the 2 week-olds. The language development at 6 months of age was evaluated with the Bayley Scales. Results and discussion: Overall, the results indicate the presence of prenatal learning, with the unfamiliar rhyme eliciting stronger cortical tracking (higher coherence and MI) than the familiar rhyme, which suggests stronger brain-to-speech coupling for the unfamiliar rhyme, perhaps deriving from more effort to process the unexpected stimulus. However, the original version of the familiar rhyme proved to be the easiest to track compared to the language- and rhythm-manipulations, (higher MI for the original rhyme than the language manipulation and higher coherence and mTRF correlation coefficients for the original rhyme than the rhythm manipulation). This indicates language discrimination and a prosodic-based learning of the familiar rhyme. Furthermore, there is an indication of phonotactic sensitivity at this young age, with less tracking (lower Hilbert coherence and lower mTRF correlation coefficients) of the low-pass filtered rhyme than the original version, indicating that the phonological cues erased by the filtering were important for the newborn’s ability to follow the rhyme. Furthermore, the mothers’ depression scores positively correlated with the infant’s tracking ability for the familiar rhyme. This suggests that a slightly lower mood was more stimulative for the fetal language development. The chronic fetal stress levels, however, were negatively correlated with the cortical tracking abilities. Importantly, the newborn’s cortical tracking was positively correlated with the infant’s language development at 6 months of age, underlining the predictive value of the early assessment of language processing. Conclusion: Prenatal learning is well established, but evidence including (healthy) brain data in the first weeks of life is scarce. The current study shows that newborns can discriminate between a familiar and unfamiliar rhyme, while also highlighting the role of prosody in early language processing, and bringing new evidence of their sensitivity to phonotactic cues in auditory stimuli. Furthermore, the newborn’s ability to track a rhyme is correlated with their language development at 6 months. The newborn’s cortical tracking of the familiar rhyme is further increased by moderately low maternal mood, but decreased by fetal stress. Future studies with similar fine-grained linguistic designs but of older infants should teach us the timeline of what exactly is learned prenatally and at very early age in respect to language.

Background: During the COVID-19 pandemic, new mothers and their babies represent a particularly vulnerable group. This study investigates the effects of the pandemic on the pregnancy and childbirth experience, as well as on postnatal stress and depression levels. Methods: An online survey was completed by 1964 Austrian and German mothers who gave birth during the COVID-19 pandemic. The survey included the Pregnancy Distress Questionnaire (PDQ), the Childbirth Experience Questionnaire (CEQ), the Edinburgh Postnatal Depression Score (EPDS), the Perceived Stress Score (PSS), and additional pregnancy- and pandemic-related questions. We conducted multilinear regression models in order to investigate which factors predict childbirth experience, stress and depression scores. Findings: There was a high prevalence of depression symptoms (42%), though the mean EPDS score was 8 center dot 71 (SD = 5 center dot 70), below the cut-off for depression of 10. The prevalence of high stress scores was 9%, and the mean PSS score was 17 center dot 7 (SD = 6 center dot 64), which indicates moderate perceived stress. The pandemic reduced the time spent with grandparents, as well as the help received by the mother from relatives and friends. Not receiving help was associated with higher stress and depression scores. In the multilinear regression models, the most important predictor for a negative childbirth experience was a high-risk pregnancy, while the strongest predictors for high stress and depression levels were low social support and negatively perceived pandemic repercussions on financial, social or health aspects of family life. Interpretation: The results suggest that the pandemic had an impact on maternal mental health. While the perceived consequences due to the pandemic negatively affected the postnatal depression and stress levels, perceived social support acted as a protective factor.

Objective: Sex hormones testosterone and estradiol have been related to children’s language development. Expanding the focus on dehydroepiandrosterone (DHEA), which has not yet been considered as a biological marker of language ability, may provide novel insights, as emerging evidence suggests that fetal DHEA plays a critical role in the organization of the neonatal brain, potentially shaping later language development. The present study investigated whether fetal DHEA, compared to fetal testosterone, is associated with infant language development. Design and methods: DHEA and testosterone concentrations were measured in newborn hair strands ( n = 63) collected two weeks after birth, capturing fetal long-term hormone secretions during the third trimester of pregnancy. At six months of age, children’s language abilities were assessed using the German version of the Bayley Scales of Infant Development. Results. Linear regression analysis revealed fetal DHEA levels to be significantly associated with language abilities at six months of age, with lower DHEA levels corresponding to higher language scores. Control analyses assessing general cognitive abilities showed no association of fetal DHEA levels with infant cognitive function. Testosterone levels were not associated with language. Conclusions: The current study identifies fetal DHEA levels extracted from newborn hair samples as a potential biological factor influencing infant language development.

Communicative abilities acquired over the first year of life are foundational for language development. Understanding the neural mechanisms underlying these abilities can explain individual differences and improve predictions of later language outcomes. While prior research on neural markers of language development has focused predominantly on oscillatory neural activity, the underlying aperiodic component of the neural signal may provide further insights into cortical maturation by indirectly reflecting variation in neural excitation/inhibition (E/I) balance. In neurodevelopmental conditions, both reduced and elevated aperiodic activity are linked to atypical development, and initial evidence from at-risk cohorts also relates aperiodic activity to language outcome. Moving beyond clinical populations, the present study examined whether aperiodic activity during neonatal resting-state EEG relates to 12-month communicative abilities in typically developing infants. Aperiodic offset and exponent were extracted from resting-state EEG recorded two weeks after birth in n = 50 neonates using the FOOOF algorithm. At 12 months, communicative abilities were assessed with the parent-report CSBS-DP Infant-Toddler Checklist. Quadratic regression analyses showed an inverted U-shaped relationship between the neonatal aperiodic exponent and communicative abilities: both lower and higher exponent values were associated with poorer outcomes, with intermediate values linked to better abilities. No robust association was found for the offset. These findings suggest that aperiodic activity captures variability in early communicative development, with an optimum at intermediate levels, consistent with a balanced E/I state. The scope of aperiodic brain activity as a developmental marker may thus extend beyond clinical populations to predicting communicative development in healthy infants.