Literature DB >> 30339913

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study.

Martin P Paulus1, Lindsay M Squeglia2, Kara Bagot3, Joanna Jacobus3, Rayus Kuplicki4, Florence J Breslin4, Jerzy Bodurka4, Amanda Sheffield Morris5, Wesley K Thompson6, Hauke Bartsch7, Susan F Tapert3.   

Abstract

The adolescent brain undergoes profound structural changes which is influenced by many factors. Screen media activity (SMA; e.g., watching television or videos, playing video games, or using social media) is a common recreational activity in children and adolescents; however, its effect on brain structure is not well understood. A multivariate approach with the first cross-sectional data release from the Adolescent Brain Cognitive Development (ABCD) study was used to test the maturational coupling hypothesis, i.e. the notion that coordinated patterns of structural change related to specific behaviors. Moreover, the utility of this approach was tested by determining the association between these structural correlation networks and psychopathology or cognition. ABCD participants with usable structural imaging and SMA data (N = 4277 of 4524) were subjected to a Group Factor Analysis (GFA) to identify latent variables that relate SMA to cortical thickness, sulcal depth, and gray matter volume. Subject scores from these latent variables were used in generalized linear mixed-effect models to investigate associations between SMA and internalizing and externalizing psychopathology, as well as fluid and crystalized intelligence. Four SMA-related GFAs explained 37% of the variance between SMA and structural brain indices. SMA-related GFAs correlated with brain areas that support homologous functions. Some but not all SMA-related factors corresponded with higher externalizing (Cohen's d effect size (ES) 0.06-0.1) but not internalizing psychopathology and lower crystalized (ES: 0.08-0.1) and fluid intelligence (ES: 0.04-0.09). Taken together, these findings support the notion of SMA related maturational coupling or structural correlation networks in the brain and provides evidence that individual differences of these networks have mixed consequences for psychopathology and cognitive performance.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30339913      PMCID: PMC6487868          DOI: 10.1016/j.neuroimage.2018.10.040

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  65 in total

1.  Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex.

Authors:  B Fischl; A Liu; A M Dale
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

3.  A hybrid approach to the skull stripping problem in MRI.

Authors:  F Ségonne; A M Dale; E Busa; M Glessner; D Salat; H K Hahn; B Fischl
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

4.  Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span.

Authors:  Shu-Chen Li; Ulman Lindenberger; Bernhard Hommel; Gisa Aschersleben; Wolfgang Prinz; Paul B Baltes
Journal:  Psychol Sci       Date:  2004-03

5.  Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer.

Authors:  Xiao Han; Jorge Jovicich; David Salat; Andre van der Kouwe; Brian Quinn; Silvester Czanner; Evelina Busa; Jenni Pacheco; Marilyn Albert; Ronald Killiany; Paul Maguire; Diana Rosas; Nikos Makris; Anders Dale; Bradford Dickerson; Bruce Fischl
Journal:  Neuroimage       Date:  2006-05-02       Impact factor: 6.556

6.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

Authors:  Rahul S Desikan; Florent Ségonne; Bruce Fischl; Brian T Quinn; Bradford C Dickerson; Deborah Blacker; Randy L Buckner; Anders M Dale; R Paul Maguire; Bradley T Hyman; Marilyn S Albert; Ronald J Killiany
Journal:  Neuroimage       Date:  2006-03-10       Impact factor: 6.556

7.  Variability of the paracingulate sulcus and morphometry of the medial frontal cortex: associations with cortical thickness, surface area, volume, and sulcal depth.

Authors:  Alex Fornito; Stephen J Wood; Sarah Whittle; Jack Fuller; Chris Adamson; Michael M Saling; Dennis Velakoulis; Christos Pantelis; Murat Yücel
Journal:  Hum Brain Mapp       Date:  2008-02       Impact factor: 5.038

Review 8.  The effects of risk-glorifying media exposure on risk-positive cognitions, emotions, and behaviors: a meta-analytic review.

Authors:  Peter Fischer; Tobias Greitemeyer; Andreas Kastenmüller; Claudia Vogrincic; Anne Sauer
Journal:  Psychol Bull       Date:  2011-05       Impact factor: 17.737

9.  Patterns of coordinated anatomical change in human cortical development: a longitudinal neuroimaging study of maturational coupling.

Authors:  Armin Raznahan; Jason P Lerch; Nancy Lee; Dede Greenstein; Gregory L Wallace; Michael Stockman; Liv Clasen; Phillip W Shaw; Jay N Giedd
Journal:  Neuron       Date:  2011-12-08       Impact factor: 17.173

10.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

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  31 in total

1.  An Examination of Child and Adolescent Neurodevelopment Through National Institutes of Health Studies.

Authors:  Nora D Volkow; Joshua A Gordon; George F Koob; Linda S Birnbaum; Janine A Clayton; Walter J Koroshetz; Diana W Bianchi; Gary H Gibbons; William T Riley; Eliseo J Pérez-Stable; Robert T Croyle
Journal:  Public Health Rep       Date:  2020-01-22       Impact factor: 2.792

2.  Time for the Human Screenome Project.

Authors:  Byron Reeves; Thomas Robinson; Nilam Ram
Journal:  Nature       Date:  2020-01       Impact factor: 49.962

3.  Association of adverse prenatal exposure burden with child psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study.

Authors:  Joshua L Roffman; Eren D Sipahi; Kevin F Dowling; Dylan E Hughes; Casey E Hopkinson; Hang Lee; Hamdi Eryilmaz; Lee S Cohen; Jodi Gilman; Alysa E Doyle; Erin C Dunn
Journal:  PLoS One       Date:  2021-04-28       Impact factor: 3.240

4.  Ensuring the Best Use of Data: The Adolescent Brain Cognitive Development Study.

Authors:  Wilson M Compton; Gayathri J Dowling; Hugh Garavan
Journal:  JAMA Pediatr       Date:  2019-07-15       Impact factor: 16.193

5.  Callous-unemotional traits and reduced default mode network connectivity within a community sample of children.

Authors:  Rebecca H Umbach; Nim Tottenham
Journal:  Dev Psychopathol       Date:  2021-10

6.  Extracurricular Activities, Screen Media Activity, and Sleep May Be Modifiable Factors Related to Children's Cognitive Functioning: Evidence From the ABCD Study®.

Authors:  Namik Kirlic; Janna M Colaizzi; Kelly T Cosgrove; Zsofia P Cohen; Hung-Wen Yeh; Florence Breslin; Amanda S Morris; Robin L Aupperle; Manpreet K Singh; Martin P Paulus
Journal:  Child Dev       Date:  2021-04-26

7.  Is the US Gender Gap in Depression Changing Over Time? A Meta-Regression.

Authors:  Jonathan M Platt; Lisa Bates; Justin Jager; Katie A McLaughlin; Katherine M Keyes
Journal:  Am J Epidemiol       Date:  2021-07-01       Impact factor: 4.897

8.  Interactions between methodological and interindividual variability: How Monetary Incentive Delay (MID) task contrast maps vary and impact associations with behavior.

Authors:  Michael I Demidenko; Alexander S Weigard; Karthikeyan Ganesan; Hyesue Jang; Andrew Jahn; Edward D Huntley; Daniel P Keating
Journal:  Brain Behav       Date:  2021-03-22       Impact factor: 2.708

9.  Methodological Advances in Leveraging Neuroimaging Datasets in Adolescent Substance Use Research.

Authors:  Adriene M Beltz; Alexander Weigard
Journal:  Curr Addict Rep       Date:  2019-09-09

10.  Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study.

Authors:  Weikang Gong; Edmund T Rolls; Jingnan Du; Jianfeng Feng; Wei Cheng
Journal:  Nat Commun       Date:  2021-06-18       Impact factor: 14.919

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