Gaze onsets during naturalistic infant-caregiver interaction associate with 'sender' but not 'receiver' neural responses, and do not lead to changes in inter-brain synchrony.

Temporal coordination during infant-caregiver social interaction is thought to be crucial for supporting early language acquisition and cognitive development. Despite a growing prevalence of theories suggesting that increased inter-brain synchrony associates with many key aspects of social interactions such as mutual gaze, little is known about how this arises during development. Here, we investigated the role of mutual gaze onsets as a potential driver of inter-brain synchrony. We extracted dual EEG activity around naturally occurring gaze onsets during infant-caregiver social interactions in N = 55 dyads (mean age 12 months). We differentiated between two types of gaze onset, depending on each partners' role. 'Sender' gaze onsets were defined at a time when either the adult or the infant made a gaze shift towards their partner at a time when their partner was either already looking at them (mutual) or not looking at them (non-mutual). 'Receiver' gaze onsets were defined at a time when their partner made a gaze shift towards them at a time when either the adult or the infant was already looking at their partner (mutual) or not (non-mutual). Contrary to our hypothesis we found that, during a naturalistic interaction, both mutual and non-mutual gaze onsets were associated with changes in the sender, but not the receiver's brain activity and were not associated with increases in inter-brain synchrony above baseline. Further, we found that mutual, compared to non-mutual gaze onsets were not associated with increased inter brain synchrony. Overall, our results suggest that the effects of mutual gaze are strongest at the intra-brain level, in the 'sender' but not the 'receiver' of the mutual gaze.

Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data.

Current approaches to analysing EEG hyperscanning data in the developmental literature typically consider interpersonal entrainment between interacting physiological systems as a time-invariant property. This approach obscures crucial information about how entrainment between interacting systems is established and maintained over time. Here, we describe methods, and present computational algorithms, that will allow researchers to address this gap in the literature. We focus on how two different approaches to measuring entrainment, namely concurrent (e.g., power correlations, phase locking) and sequential (e.g., Granger causality) measures, can be applied to three aspects of the brain signal: amplitude, power, and phase. We guide the reader through worked examples using simulated data on how to leverage these methods to measure changes in interbrain entrainment. For each, we aim to provide a detailed explanation of the interpretation and application of these analyses when studying neural entrainment during early social interactions.

Automatic classification of ICA components from infant EEG using MARA.

Automated systems for identifying and removing non-neural ICA components are growing in popularity among EEG researchers of adult populations. Infant EEG data differs in many ways from adult EEG data, but there exists almost no specific system for automated classification of source components from paediatric populations. Here, we adapt one of the most popular systems for adult ICA component classification for use with infant EEG data. Our adapted classifier significantly outperformed the original adult classifier on samples of naturalistic free play EEG data recorded from 10 to 12-month-old infants, achieving agreement rates with the manual classification of over 75% across two validation studies (n = 44, n = 25). Additionally, we examined both classifiers' ability to remove stereotyped ocular artifact from a basic visual processing ERP dataset compared to manual ICA data cleaning. Here, the new classifier performed on level with expert manual cleaning and was again significantly better than the adult classifier at removing artifact whilst retaining a greater amount of genuine neural signal operationalised through comparing ERP activations in time and space. Our new system (iMARA) offers developmental EEG researchers a flexible tool for automatic identification and removal of artifactual ICA components.

Interpersonal Neural Entrainment during Early Social Interaction.

Currently, we understand much about how children's brains attend to and learn from information presented while they are alone, viewing a screen - but less about how interpersonal social influences are substantiated in the brain. Here, we consider research that examines how social behaviors affect not one, but both partners in a dyad. We review studies that measured interpersonal neural entrainment during early social interaction, considering two ways of measuring entrainment: concurrent entrainment (e.g., 'when A is high, B is high' - also known as synchrony) and sequential entrainment ('changes in A forward-predict changes in B'). We discuss possible causes of interpersonal neural entrainment, and consider whether it is merely an epiphenomenon, or whether it plays an independent, mechanistic role in early attention and learning.

Heart and arterial disease risk factor levels in the Scottish workforce: cross-sectional study of risk factor levels. The SHARP Committee. Scottish Heart and Arterial Disease Risk Prevention.

Between 1991-93 a specially trained team of nurses screened 19,435 subjects from various workforces in different regions of Scotland to identify cardiovascular disease risk factor levels in the Scottish working population. The regions visited provided a wide geographical spread. Name, age, occupation, social class, personal and family history of cardiovascular disease were recorded along with consumption of tobacco, alcohol and salt. Height and weight were measured and Body Mass Index (BMI) calculated; systolic (SBP) and diastolic (DBP) blood pressure, blood glucose and blood cholesterol were also measured. The proportion of social class I-IV in men studied was 49, 22, 22, and 7% respectively and in women 28, 29, 39 and 5%. Fifty two per cent of men and 61% of women had never smoked and 24% of men and 17% of women had previously stopped smoking. Twenty one per cent of both sexes were still smoking. Eighteen per cent of men drank more than 21 units of alcohol per week and 3.4% of women drank more than 14 units per week. Mean values of SBP and DBP increased with age and the percentage with hypertension (> or = 148/90 mm Hg) in men and women was 5% and 24% respectively. Mean BMI was slightly higher in men than women (25.3 & 24.5 respectively) and there was a significant (p < 0.01) rise in BMI with age in both sexes. Forty six per cent of men and 32% of women were classified as overweight (BMI > 25) while 9% of men and 9% of women were classified as obese (BMI > 30).(ABSTRACT TRUNCATED AT 250 WORDS)