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      Associations Between Infant Screen Use, Electroencephalography Markers, and Cognitive Outcomes

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          Abstract

          This cohort study analyzes data for children from the population-based study Growing Up in Singapore Toward Healthy Outcomes (GUSTO) to examine the associations between infant screen time, electroencephalography markers, and school-age cognitive outcomes using a mediation analysis.

          Key Points

          Question

          To what extent is the association between infant screen use and cognitive impairments mediated by electroencephalography markers?

          Findings

          In this birth cohort study involving 437 children, the use of a mediation analysis embedded in a structural education model provided evidence that electrocortical activity in the frontocentral and parietal brain regions mediated the association between infant screen use and later executive function impairments.

          Meaning

          Screen use during infancy may contribute to variations in neural activities implicated in the development of high-order cognitive skills.

          Abstract

          Importance

          Research evidence is mounting for the association between infant screen use and negative cognitive outcomes related to attention and executive functions. The nature, timing, and persistence of screen time exposure on neural functions are currently unknown. Electroencephalography (EEG) permits elucidation of the neural correlates associated with cognitive impairments.

          Objective

          To examine the associations between infant screen time, EEG markers, and school-age cognitive outcomes using mediation analysis with structural equation modeling.

          Design, Setting, and Participants

          This prospective maternal-child dyad cohort study included participants from the population-based study Growing Up in Singapore Toward Healthy Outcomes (GUSTO). Pregnant mothers were enrolled in their first trimester from June 2009 through December 2010. A subset of children who completed neurodevelopmental visits at ages 12 months and 9 years had EEG performed at age 18 months. Data were reported from 3 time points at ages 12 months, 18 months, and 9 years. Mediation analyses were used to investigate how neural correlates were involved in the paths from infant screen time to the latent construct of attention and executive functioning. Data for this study were collected from November 2010 to March 2020 and were analyzed between October 2021 and May 2022.

          Exposures

          Parent-reported screen time at age 12 months.

          Main Outcomes and Measures

          Power spectral density from EEG was collected at age 18 months. Child attention and executive functions were measured with teacher-reported questionnaires and objective laboratory-based tasks at age 9 years.

          Results

          In this sample of 437 children, the mean (SD) age at follow-up was 8.84 (0.07) years, and 227 children (51.9%) were male. The mean (SD) amount of daily screen time at age 12 months was 2.01 (1.86) hours. Screen time at age 12 months contributed to multiple 9-year attention and executive functioning measures (η 2, 0.03-0.16; Cohen d, 0.35-0.87). A subset of 157 children had EEG performed at age 18 months; EEG relative theta power and theta/beta ratio at the frontocentral and parietal regions showed a graded correlation with 12-month screen use ( r = 0.35-0.37). In the structural equation model accounting for household income, frontocentral and parietal theta/beta ratios partially mediated the association between infant screen time and executive functioning at school age (exposure-mediator β, 0.41; 95% CI, 0.22 to 0.59; mediator-outcome β, −0.38; 95% CI, −0.64 to −0.11), forming an indirect path that accounted for 39.4% of the association.

          Conclusions and Relevance

          In this study, infant screen use was associated with altered cortical EEG activity before age 2 years; the identified EEG markers mediated the association between infant screen time and executive functions. Further efforts are urgently needed to distinguish the direct association of infant screen use compared with family factors that predispose early screen use on executive function impairments.

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          Most cited references57

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          Executive Functions

          Executive functions (EFs) make possible mentally playing with ideas; taking the time to think before acting; meeting novel, unanticipated challenges; resisting temptations; and staying focused. Core EFs are inhibition [response inhibition (self-control—resisting temptations and resisting acting impulsively) and interference control (selective attention and cognitive inhibition)], working memory, and cognitive flexibility (including creatively thinking “outside the box,” seeing anything from different perspectives, and quickly and flexibly adapting to changed circumstances). The developmental progression and representative measures of each are discussed. Controversies are addressed (e.g., the relation between EFs and fluid intelligence, self-regulation, executive attention, and effortful control, and the relation between working memory and inhibition and attention). The importance of social, emotional, and physical health for cognitive health is discussed because stress, lack of sleep, loneliness, or lack of exercise each impair EFs. That EFs are trainable and can be improved with practice is addressed, including diverse methods tried thus far.
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            The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: a latent variable analysis.

            This individual differences study examined the separability of three often postulated executive functions-mental set shifting ("Shifting"), information updating and monitoring ("Updating"), and inhibition of prepotent responses ("Inhibition")-and their roles in complex "frontal lobe" or "executive" tasks. One hundred thirty-seven college students performed a set of relatively simple experimental tasks that are considered to predominantly tap each target executive function as well as a set of frequently used executive tasks: the Wisconsin Card Sorting Test (WCST), Tower of Hanoi (TOH), random number generation (RNG), operation span, and dual tasking. Confirmatory factor analysis indicated that the three target executive functions are moderately correlated with one another, but are clearly separable. Moreover, structural equation modeling suggested that the three functions contribute differentially to performance on complex executive tasks. Specifically, WCST performance was related most strongly to Shifting, TOH to Inhibition, RNG to Inhibition and Updating, and operation span to Updating. Dual task performance was not related to any of the three target functions. These results suggest that it is important to recognize both the unity and diversity of executive functions and that latent variable analysis is a useful approach to studying the organization and roles of executive functions. Copyright 2000 Academic Press.
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              Is Open Access

              MEG and EEG data analysis with MNE-Python

              Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires expertise in physics, signal processing, statistics, and numerical methods. As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions. All algorithms and utility functions are implemented in a consistent manner with well-documented interfaces, enabling users to create M/EEG data analysis pipelines by writing Python scripts. Moreover, MNE-Python is tightly integrated with the core Python libraries for scientific comptutation (NumPy, SciPy) and visualization (matplotlib and Mayavi), as well as the greater neuroimaging ecosystem in Python via the Nibabel package. The code is provided under the new BSD license allowing code reuse, even in commercial products. Although MNE-Python has only been under heavy development for a couple of years, it has rapidly evolved with expanded analysis capabilities and pedagogical tutorials because multiple labs have collaborated during code development to help share best practices. MNE-Python also gives easy access to preprocessed datasets, helping users to get started quickly and facilitating reproducibility of methods by other researchers. Full documentation, including dozens of examples, is available at http://martinos.org/mne.
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                Author and article information

                Journal
                JAMA Pediatr
                JAMA Pediatr
                JAMA Pediatrics
                American Medical Association
                2168-6203
                2168-6211
                30 January 2023
                March 2023
                30 January 2023
                : 177
                : 3
                : 311-318
                Affiliations
                [1 ]Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
                [2 ]Khoo Teck Puat–National University Children’s Medical Institute, National University Health System, Singapore
                [3 ]Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
                [4 ]Center for Cognitive and Brain Health, Northeastern University, Boston, Massachusetts
                [5 ]Division of Developmental Medicine, Boston Children’s Hospital, Boston, Massachusetts
                [6 ]Division of Neurology, Boston Children’s Hospital, Boston, Massachusetts
                [7 ]Centre for Research in Child Development, National Institute of Education, Singapore
                [8 ]Department of Child Development, KK Women’s and Children’s Hospital, Singapore
                [9 ]Academic Medicine Department, Duke-NUS Medical School, Singapore
                [10 ]Liggins Institute, University of Auckland, Grafton, Auckland, New Zealand
                [11 ]Department of Obstetrics and Gynaecology, National University Health System and Yong Loo Lin School of Medicine, National University of Singapore, Singapore
                [12 ]Ludmer Centre for Neuroinformatics and Mental Health, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
                [13 ]McGill University and Douglas Mental Health University Research Centre, Montreal, Quebec, Canada
                [14 ]Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
                Author notes
                Article Information
                Accepted for Publication: November 16, 2022.
                Published Online: January 30, 2023. doi:10.1001/jamapediatrics.2022.5674
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Law EC et al. JAMA Pediatrics.
                Corresponding Author: Evelyn C. Law, MD, Department of Paediatrics, 1E Kent Ridge Rd, Tower Block Level 12, Singapore 119228, Singapore ( paelecn@ 123456nus.edu.sg ).
                Author Contributions: Dr Law and Ms Han had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Dr Law and Ms Han contributed equally as co–first authors.
                Concept and design: Law, Han, Wilkinson, Rifkin-Graboi, Gluckman, Chong, Meaney.
                Acquisition, analysis, or interpretation of data: Law, Han, Lai, Lim, Ong, Ng, Gabard-Durnam, Wilkinson, Levin, Rifkin-Graboi, Daniel, Meaney, Nelson.
                Drafting of the manuscript: Law, Han, Ng, Gabard-Durnam.
                Critical revision of the manuscript for important intellectual content: Law, Han, Lai, Lim, Ong, Gabard-Durnam, Wilkinson, Levin, Rifkin-Graboi, Daniel, Gluckman, Chong, Meaney, Nelson.
                Statistical analysis: Law, Han, Lim, Gabard-Durnam.
                Obtained funding: Law, Gluckman, Chong, Meaney.
                Administrative, technical, or material support: Lai, Lim, Ong, Ng, Gabard-Durnam, Wilkinson, Levin, Rifkin-Graboi, Gluckman, Chong, Meaney.
                Supervision: Law, Meaney.
                Other–EEG signal processing: Levin.
                Conflict of Interest Disclosures: Dr Levin reported having consulted for Lab 1636 outside the submitted work. Dr Gluckman reported grants from National Research Foundation of Singapore during the conduct of the study. Dr Chong reported grants from National University of Singapore during the conduct of the study. No other disclosures were reported.
                Funding/Support: This research is supported by the Singapore Ministry of Health’s National Medical Research Council Transition Award (MOH-000270), National Research Foundation (NRF) under the Open Fund Large Collaborative Grant (MOH-000504), and the Agency for Science, Technology and Research. In the Research, Innovation and Enterprise 2025 Plan (RIE2025), Growing Up in Singapore Toward Healthy Outcomes (GUSTO) is supported by funding from the NRF’s Human Health and Potential Domain under the Human Potential Program.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Data Sharing Statement: See Supplement 2.
                Additional Contributions: We acknowledge the Growing Up in Singapore Toward Healthy Outcomes (GUSTO) study group and the research staff involved in data acquisition.
                Article
                poi220092
                10.1001/jamapediatrics.2022.5674
                9887532
                36716016
                06ce7809-5213-4dc0-89ae-6c57ebc14a58
                Copyright 2023 Law EC et al. JAMA Pediatrics.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 5 October 2022
                : 16 November 2022
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                Research
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                Original Investigation
                Online First
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