The impact of television viewing on brain structures: cross-sectional and longitudinal analyses.

Television (TV) viewing is known to affect children's verbal abilities and other physical, cognitive, and emotional development in psychological studies. However, the brain structural development associated with TV viewing has never been investigated. Here we examined cross-sectional correlations between the duration of TV viewing and regional gray/white matter volume (rGMV/rWMV) among 133 boys and 143 girls as well as correlations between the duration of TV viewing and longitudinal changes that occurred a few years later among 111 boys and 105 girls. After correcting for confounding factors, we found positive effects of TV viewing on rGMV of the frontopolar and medial prefrontal areas in cross-sectional and longitudinal analyses, positive effects of TV viewing on rGMV/rWMV of areas of the visual cortex in cross-sectional analyses, and positive effects of TV viewing on rGMV of the hypothalamus/septum and sensorimotor areas in longitudinal analyses. We also confirmed negative effects of TV viewing on verbal intelligence quotient (IQ) in cross-sectional and longitudinal analyses. These anatomical correlates may be linked to previously known effects of TV viewing on verbal competence, aggression, and physical activity. In particular, the present results showed effects of TV viewing on the frontopolar area of the brain, which has been associated with intellectual abilities.

[1]  J Ormel,et al.  Schizotypy and brain structure: a voxel-based morphometry study , 2009, Psychological Medicine.

[2]  Joseph A Maldjian,et al.  Precentral gyrus discrepancy in electronic versions of the Talairach atlas , 2004, NeuroImage.

[3]  R. C. Oldfield.  The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[4]  R. Turner,et al.  Structural studies of the hypothalamus and its nuclei in mood disorders , 2012, Psychiatry Research: Neuroimaging.

[5]  M. Pratt,et al.  Relationship of physical activity and television watching with body weight and level of fatness among children: results from the Third National Health and Nutrition Examination Survey. , 1998, JAMA.

[6]  G. Rees,et al.  The structural basis of inter-individual differences in human behaviour and cognition , 2011, Nature Reviews Neuroscience.

[7]  Haejung Paik,et al.  The Effects of Television Violence on Antisocial Behavior: A Meta-Analysis1 , 1994 .

[8]  P. Thomann,et al.  Morphometric differences in central stress-regulating structures between women with and without borderline personality disorder. , 2013, Journal of psychiatry & neuroscience : JPN.

[9]  Steven C. R. Williams,et al.  Mapping IQ and gray matter density in healthy young people , 2004, NeuroImage.

[10]  Yasuyuki Taki,et al.  Working Memory Training Using Mental Calculation Impacts Regional Gray Matter of the Frontal and Parietal Regions , 2011, PloS one.

[11]  Monica Luciana,et al.  Associations between cortical thickness and general intelligence in children, adolescents and young adults. , 2013, Intelligence.

[12]  Sherif Karama,et al.  BMC Research Notes BioMed Central , 2008 .

[13]  Bernard Mazoyer,et al.  Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing , 2006, NeuroImage.

[14]  Yasuyuki Taki,et al.  Breakfast Staple Types Affect Brain Gray Matter Volume and Cognitive Function in Healthy Children , 2010, PloS one.

[15]  Goran Vucurevic,et al.  VBM–DTI Correlates of Verbal Intelligence: A Potential Link to Broca's Area , 2012, Journal of Cognitive Neuroscience.

[16]  Vanessa Sluming,et al.  Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults , 2005, NeuroImage.

[17]  Suzanne E. Welcome,et al.  Normal developmental changes in inferior frontal gray matter are associated with improvement in phonological processing: a longitudinal MRI analysis. , 2006, Cerebral cortex.

[18]  Yasuyuki Taki,et al.  Regional gray matter density associated with emotional intelligence: Evidence from voxel‐based morphometry , 2011, Human brain mapping.

[19]  Rex E. Jung,et al.  Structural brain variation and general intelligence , 2004, NeuroImage.

[20]  Yasuyuki Taki,et al.  Effects of Training of Processing Speed on Neural Systems , 2011, The Journal of Neuroscience.

[21]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[22]  Dimitri A Christakis,et al.  Children's television viewing and cognitive outcomes: a longitudinal analysis of national data. , 2005, Archives of pediatrics & adolescent medicine.

[23]  Paul J. Laurienti,et al.  An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets , 2003, NeuroImage.

[24]  J. Chance,et al.  The Relation of Children’s Television Viewing to School Achievement and I.Q. , 1983 .

[25]  R. Haier,et al.  Finding the g-factor in brain structure using the method of correlated vectors , 2006 .

[26]  Dimitri A Christakis,et al.  Early television exposure and subsequent attentional problems in children. , 2004, Pediatrics.

[27]  Jaap Oosterlaan,et al.  How specific is a deficit of executive functioning for Attention-Deficit/Hyperactivity Disorder? , 2002, Behavioural Brain Research.

[28]  Thomas E. Nichols,et al.  Nonstationary cluster-size inference with random field and permutation methods , 2004, NeuroImage.

[29]  Patricia Cohen,et al.  Extensive television viewing and the development of attention and learning difficulties during adolescence. , 2007, Archives of pediatrics & adolescent medicine.

[30]  R. Potts,et al.  Television viewing and depression: No news is good news , 1994 .

[31]  Geraint Rees,et al.  Inter-individual differences in empathy are reflected in human brain structure , 2012, NeuroImage.

[32]  Richie Poulton,et al.  Does Childhood Television Viewing Lead to Attention Problems in Adolescence? Results From a Prospective Longitudinal Study , 2007, Pediatrics.

[33]  R. Haier,et al.  The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence , 2007, Behavioral and Brain Sciences.

[34]  Marko Wilke,et al.  Bright spots: correlations of gray matter volume with IQ in a normal pediatric population , 2003, NeuroImage.

[35]  Lutz Jäncke,et al.  The Architecture of the Golfer's Brain , 2009, PloS one.

[36]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[37]  Bogdan Draganski,et al.  Neuroplasticity: Changes in grey matter induced by training , 2004, Nature.

[38]  Yasuyuki Taki,et al.  Anatomical correlates of quality of life: Evidence from voxel‐based morphometry , 2014, Human brain mapping.

[39]  Thomas E. Nichols,et al.  False positives in neuroimaging genetics using voxel-based morphometry data , 2011, NeuroImage.

[40]  J. J. Ryan,et al.  Wechsler Adult Intelligence Scale-III , 2001 .

[41]  J. Prasko,et al.  Aggression in Borderline Personality Disorder , 2010, Psychiatric Quarterly.

[42]  Yasuyuki Taki,et al.  Brain structures associated with executive functions during everyday events in a non-clinical sample , 2012, Brain Structure and Function.

[43]  Cathy J. Price,et al.  Addendum: Verbal and non-verbal intelligence changes in the teenage brain , 2012, Nature.

[44]  Yasuyuki Taki,et al.  Effects of working memory training on functional connectivity and cerebral blood flow during rest , 2013, Cortex.

[45]  Charles A. Salter,et al.  THE IMPACT OF TELEVISION VIEWING ON MENTAL APTITUDE AND ACHIEVEMENT: A LONGITUDINAL STUDY , 1990 .

[46]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[47]  J. Gabrieli,et al.  The frontopolar cortex and human cognition: Evidence for a rostrocaudal hierarchical organization within the human prefrontal cortex , 2000, Psychobiology.

[48]  Jesse M. Shapiro,et al.  Preschool Television Viewing and Adolescent Test Scores: Historical Evidence from the Coleman Study , 2008 .

[49]  Benjamin Thyreau,et al.  White matter structures associated with empathizing and systemizing in young adults , 2013, NeuroImage.

[50]  Patricia Cohen,et al.  Television Viewing and Aggressive Behavior During Adolescence and Adulthood , 2002, Science.

[51]  J L Lancaster,et al.  Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.

[52]  Thomas R. Barrick,et al.  Voxel-Based Morphometry Reveals Increased Gray Matter Density in Broca's Area in Male Symphony Orchestra Musicians , 2002, NeuroImage.

[53]  Craig A. Anderson,et al.  The Effects of Media Violence on Society , 2002, Science.

[54]  J. Blau.  Color Atlas of Neuroscience. Neuroanatomy and Neurophysiology , 2000 .

[55]  Michael Erb,et al.  Voxel-based morphometry studies of personality: Issue of statistical model specification—effect of nuisance covariates , 2011, NeuroImage.

[56]  Alan C. Evans,et al.  Intellectual ability and cortical development in children and adolescents , 2006, Nature.

[57]  Sharon Gadberry,et al.  Effects of restricting first graders' TV-viewing on leisure time use, IQ change, and cognitive style☆ , 1980 .

[58]  Andreas Buchmann,et al.  Sexual Dimorphism in the Parietal Substrate Associated with Visuospatial Cognition Independent of General Intelligence , 2010, Journal of Cognitive Neuroscience.

[59]  Rex E. Jung,et al.  Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18 , 2011, NeuroImage.

[60]  Arthur W Toga,et al.  Relationships between IQ and regional cortical gray matter thickness in healthy adults. , 2007, Cerebral cortex.

[61]  Chris Visscher,et al.  Physical activity and motor skills in children with and without visual impairments. , 2009, Medicine and science in sports and exercise.