[Formula: see text] Higher access to screens is related to decreased functional connectivity between neural networks associated with basic attention skills and cognitive control in children

A comprehensive systematic review of fMRI studies on brain connectivity in healthy children and adolescents: Current insights and future directions

This systematic review considered evidence of children's and adolescents' typical brain connectivity development studied through resting-state functional magnetic resonance imaging (rs-fMRI). With aim of understanding the state of the art, what has been researched thus far and what remains unknown, this paper reviews 58 studies from 2013 to 2023. Considering the results, rs-fMRI stands out as an appropriate technique for studying language and attention within cognitive domains, and personality traits such as impulsivity and empathy. The most used analyses encompass seed-based, independent component analysis (ICA), the amplitude of the low frequency fluctuations (ALFF), and fractional ALFF (fALFF). The findings highlight key themes, including age-related changes in intrinsic connectivity, sex-specific patterns, and the relevance of the Default Mode Network (DMN). Overall, there is a need for longitudinal approaches to trace the typical developmental trajectory of neural networks from childhood through adolescence with fMRI at rest.

Executive functions abilities in preschool-age children are negatively related to parental EF, screen-time and positively related to home literacy environment: an EEG study

Environmental factors such as Home Literacy Environment (HLE), screen time, and parental executive functions (EF) may influence the development of the child's EF. The purpose of this study was to determine the effect of these factors on behavioral and neurobiological measures of EF in 4-year-old children. Electroencephalogram (EEG) data were collected while children performed the Attention Network Task (ANT), showing a smaller difference between incongruent and congruent conditions is related to better EF abilities. Data were analyzed using an Event-Related Potential (ERP) technique focusing on the N200 and P300 components (reflecting executive control and orienting attention, respectively). N200 and P300 differences (delta) between amplitudes and latencies for the incongruent and congruent conditions were computed and correlated with child EF skills, HLE, screen exposure, and parental EF. Screen exposure was associated with lower EF in children and their parents. Additionally, smaller differences between N200 amplitudes and latencies for the incongruent vs. congruent conditions were associated with higher HLE scores. In contrast, greater differences between P300 amplitudes and latencies were related to longer screen time. HLE was positively associated with EF's neurobiological (EEG) and behavioral measures, and screen time was negatively associated with these measures. This study also highlights the important relationship between parental EF (i.e., family predisposition) and EF's neurobiological and behavioral measures in their children.

Decreased frontal theta frequency during the presence of smartphone among children: an EEG study

BACKGROUND

Smart devices have become an integral part of our lives. However, research has highlighted the potential implications of smartphone presence on task performance, particularly in young children. This study aimed to determine the effect of a smartphone presence on brainwaves associated with cognitive interruption in children.

METHODS

EEG data were collected from 5.3 to 8.5-year-old children performing a simple reaction time task with and without the presence of a smartphone. Theta and alpha bands were calculated, and repeated measure analysis of variance was performed to assess the impact of two conditions on alpha and theta bands: 1) with the presence and; 2) without the presence of a smartphone. EEG waveforms were also correlated with standardized cognitive measures evaluating attention abilities using Pearson correlation.

RESULTS

Theta and alpha activity values were higher in the absence vs the presence of a smartphone, with a significant difference between theta bands for the two study conditions. Moreover, the difference between theta bands in the two conditions was significantly correlated with lower scores on an auditory attention test.

CONCLUSIONS

The existence of an interactive electronic device during cognitive tasks is associated with alterations in brain activity related to cognitive control.

IMPACT

The presence of a smartphone during a simple reaction time task in young children was associated with a significant decrease in frontal theta frequency. A trend of a decreased alpha band in the presence of a smartphone. The differences in theta and alpha frequencies between conditions were significantly correlated with lower scores in auditory and visual attention and inhibition tests.

A study of the effects of screen exposure on the neuropsychological development in children with autism spectrum disorders based on ScreenQ

PURPOSE

To investigate the relationship between multi-dimensional aspects of screen exposure and autistic symptoms, as well as neuropsychological development in children with ASD.

METHODS

We compared the ScreenQ and Griffiths Development Scales-Chinese Language Edition (GDS-C) of 636 ASD children (40.79 ± 11.45 months) and 43 typically developing (TD) children (42.44 ± 9.61 months). Then, we analyzed the correlations between ScreenQ and Childhood Autism Rating Scale (CARS), and GDS-C. We further used linear regression model to analyze the risk factors associated with high CARS total scores and low development quotients (DQs) in children with ASD.

RESULTS

The CARS of children with ASD was positively correlated with the ScreenQ total scores and "access, frequency, co-viewing" items of ScreenQ. The personal social skills DQ was negatively correlated with the "access, frequency, content, co-viewing and total scores" of ScreenQ. The hearing-speech DQ was negatively correlated with the "frequency, content, co-viewing and total scores" of ScreenQ. The eye-hand coordination DQ was negatively correlated with the "frequency and total scores" of ScreenQ. The performance DQ was negatively correlated with the "frequency" item of ScreenQ.

CONCLUSION

ScreenQ can be used in the study of screen exposure in children with ASD. The higher the ScreenQ scores, the more severe the autistic symptoms tend to be, and the more delayed the development of children with ASD in the domains of personal-social, hearing-speech and eye-hand coordination. In addition, "frequency" has the greatest impact on the domains of personal social skills, hearing-speech, eye-hand coordination and performance of children with ASD.

Language First, Cognition Later: Different Trajectories of Subcomponents of the Future-Reading Network in Processing Narratives from Kindergarten to Adolescence

Narrative comprehension is a linguistic ability that emerges early in life and has a critical role in language development, reading acquisition, and comprehension. According to the Simple View of Reading model, reading is acquired through word decoding and linguistic comprehension. Here, within and between networks, functional connectivity in several brain networks supporting both language and reading abilities was examined from prereading to proficient reading age in 32 healthy children, ages 5-18 years, scanned annually while listening to stories over 12 years. Functional connectivity changes within and between the networks were assessed and compared between the years using hierarchical linear regression and were related to reading abilities. At prereading age, the networks related to basic language processing accounted for 32.5% of the variation of reading ability at reading age (at 12-14 years) (R2 = 0.325, p = 0.05). At age 17, more complex cognitive networks were involved and accounted for 97.4% of the variation in reading ability (R2 = 0.974, p = 0.022). Overall, networks composing the future-reading network are highly involved in processing narratives along development; however, networks related to semantic, phonological, and syntactic processing predict reading ability earlier in life, and more complex networks predict reading proficiency later in life.