The Genetic Association Between Neocortical Volume and General Cognitive Ability Is Driven by Global Surface Area Rather Than Thickness.

Total gray matter volume is associated with general cognitive ability (GCA), an association mediated by genetic factors. It is expectable that total neocortical volume should be similarly associated with GCA. Neocortical volume is the product of thickness and surface area, but global thickness and surface area are unrelated phenotypically and genetically in humans. The nature of the genetic association between GCA and either of these 2 cortical dimensions has not been examined. Humans possess greater cognitive capacity than other species, and surface area increases appear to be the primary driver of the increased size of the human cortex. Thus, we expected neocortical surface area to be more strongly associated with cognition than thickness. Using multivariate genetic analysis in 515 middle-aged twins, we demonstrated that both the phenotypic and genetic associations between neocortical volume and GCA are driven primarily by surface area rather than thickness. Results were generally similar for each of 4 specific cognitive abilities that comprised the GCA measure. Our results suggest that emphasis on neocortical surface area, rather than thickness, could be more fruitful for elucidating neocortical-GCA associations and identifying specific genes underlying those associations.

[1]  Christina Gloeckner,et al.  Human Genetics For The Social Sciences , 2016 .

[2]  A. Lundervold,et al.  High-expanding cortical regions in human development and evolution are related to higher intellectual abilities. , 2015, Cerebral cortex.

[3]  Lutz Jäncke,et al.  Cortical surface area and cortical thickness demonstrate differential structural asymmetry in auditory-related areas of the human cortex. , 2014, Cerebral cortex.

[4]  Penny A. MacDonald,et al.  Subcortical regional morphology correlates with fluid and spatial intelligence , 2014, Human brain mapping.

[5]  A. Dale,et al.  Accelerating cortical thinning: unique to dementia or universal in aging? , 2014, Cerebral cortex.

[6]  Lara M. Wierenga,et al.  Unique developmental trajectories of cortical thickness and surface area , 2014, NeuroImage.

[7]  Wendy Johnson,et al.  Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents , 2014, NeuroImage.

[8]  L Penke,et al.  Childhood cognitive ability accounts for associations between cognitive ability and brain cortical thickness in old age , 2013, Molecular Psychiatry.

[9]  David A. Bennett,et al.  Gray-matter macrostructure in cognitively healthy older persons: associations with age and cognition , 2013, Brain Structure and Function.

[10]  Joanna M. Wardlaw,et al.  Brain white matter damage in aging and cognitive ability in youth and older age , 2013, Neurobiology of Aging.

[11]  Larson J. Hogstrom,et al.  The structure of the cerebral cortex across adult life: age-related patterns of surface area, thickness, and gyrification. , 2013, Cerebral cortex.

[12]  L. Stefanacci,et al.  Evolution, development, and plasticity of the human brain: from molecules to bones , 2013, Front. Hum. Neurosci..

[13]  J. Castro-Fornieles,et al.  The Human Cerebral Cortex Flattens during Adolescence , 2013, The Journal of Neuroscience.

[14]  Anders M. Dale,et al.  Cortical surface area and IQ in very-low-birth-weight (VLBW) young adults , 2013, Cortex.

[15]  U. Yoon,et al.  Prediction for human intelligence using morphometric characteristics of cortical surface: Partial least square analysis , 2013, Neuroscience.

[16]  Knut Jørgen Bjuland,et al.  Cortical thickness and cognition in very-low-birth-weight late teenagers. , 2013, Early human development.

[17]  Richard J. Haier,et al.  Neuroanatomic overlap between intelligence and cognitive factors: Morphometry methods provide support for the key role of the frontal lobes , 2013, NeuroImage.

[18]  Oliver Speck,et al.  Cortical thickness determination of the human brain using high resolution 3T and 7T MRI data , 2013, NeuroImage.

[19]  Carol E. Franz,et al.  VETSA: The Vietnam Era Twin Study of Aging , 2012, Twin Research and Human Genetics.

[20]  Vijay K. Venkatraman,et al.  Neuroanatomical Assessment of Biological Maturity , 2012, Current Biology.

[21]  Bruce Fischl,et al.  A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study , 2012, Twin Research and Human Genetics.

[22]  L Penke,et al.  Brain white matter tract integrity as a neural foundation for general intelligence , 2012, Molecular Psychiatry.

[23]  D. Louis Collins,et al.  Genetic influences on thinning of the cerebral cortex during development , 2012, NeuroImage.

[24]  L. Westlye,et al.  The brain dynamics of intellectual development: Waxing and waning white and gray matter , 2011, Neuropsychologia.

[25]  B. Dickerson,et al.  Age-Related Changes in the Thickness of Cortical Zones in Humans , 2011, Brain Topography.

[26]  Jun Liu,et al.  Neuroanatomical correlates of intellectual ability across the life span , 2011, Developmental Cognitive Neuroscience.

[27]  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.

[28]  Shantanu H. Joshi,et al.  The contribution of genes to cortical thickness and volume , 2011, Neuroreport.

[29]  Anderson M. Winkler,et al.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies , 2010, NeuroImage.

[30]  Terry L. Jernigan,et al.  The Basics of Brain Development , 2010, Neuropsychology Review.

[31]  John W. Harwell,et al.  Similar patterns of cortical expansion during human development and evolution , 2010, Proceedings of the National Academy of Sciences.

[32]  W. Kremen,et al.  Does Parental Education have a Moderating Effect on the Genetic and Environmental Influences of General Cognitive Ability in Early Adulthood? , 2010, Behavior genetics.

[33]  Anders M. Dale,et al.  Genetic and environmental influences on the size of specific brain regions in midlife: The VETSA MRI study , 2010, NeuroImage.

[34]  A. Dale,et al.  Distinct genetic influences on cortical surface area and cortical thickness. , 2009, Cerebral cortex.

[35]  P. Rakic Evolution of the neocortex: Perspective from developmental biology , 2010 .

[36]  Corwin Boake,et al.  Genes Determine Stability and the Environment Determines Change in Cognitive Ability During 35 Years of Adulthood , 2009, Psychological science.

[37]  K. Heyman,et al.  Health characteristics of adults aged 55 years and over: United States, 2004-2007. , 2009, National health statistics reports.

[38]  P. Gluckman,et al.  Towards a new developmental synthesis: adaptive developmental plasticity and human disease , 2009, The Lancet.

[39]  R. Kahn,et al.  A genetic analysis of brain volumes and IQ in children , 2009 .

[40]  Noah A. Shamosh,et al.  Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation , 2008, The Journal of Neuroscience.

[41]  P. Thompson,et al.  Relationship among neuroimaging indices of cerebral health during normal aging , 2008, Human brain mapping.

[42]  Daniel Rueckert,et al.  Automatic segmentation and reconstruction of the cortex from neonatal MRI , 2007, NeuroImage.

[43]  J. Giedd,et al.  Review of Twin and Family Studies on Neuroanatomic Phenotypes and Typical Neurodevelopment , 2007, Twin Research and Human Genetics.

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

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

[46]  H. Lee Seldon Extended neocortical maturation time encompasses speciation, fatty acid and lateralization theories of the evolution of schizophrenia and creativity. , 2007, Medical hypotheses.

[47]  Corwin Boake,et al.  Genes, Environment, and Time: The Vietnam Era Twin Study of Aging (VETSA) , 2006, Twin Research and Human Genetics.

[48]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

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

[50]  Anders M. Dale,et al.  Cortical volume and speed-of-processing are complementary in prediction of performance intelligence , 2005, Neuropsychologia.

[51]  Michael C Neale,et al.  Heritability of Word Recognition in Middle-Aged Men Varies as a Function of Parental Education , 2005, Behavior genetics.

[52]  Michael A. McDaniel Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence , 2005 .

[53]  Anders M. Dale,et al.  Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.

[54]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[55]  Nikos Makris,et al.  Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.

[56]  T. Bouchard,et al.  Genetic and environmental influences on human psychological differences. , 2003, Journal of neurobiology.

[57]  R. Kahn,et al.  The association between brain volume and intelligence is of genetic origin , 2002, Nature Neuroscience.

[58]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[59]  Tyrone D. Cannon,et al.  Genetic influences on brain structure , 2001, Nature Neuroscience.

[60]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[61]  Ian J. Deary,et al.  The Stability of Individual Differences in Mental Ability from Childhood to Old Age: Follow-up of the 1932 Scottish Mental Survey , 2000 .

[62]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[63]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[64]  P. Goldman-Rakic,et al.  Synaptic development of the cerebral cortex: implications for learning, memory, and mental illness. , 1994, Progress in brain research.

[65]  A. Thapar,et al.  Methodology for Genetic Studies of Twins and Families , 1993 .

[66]  A. Dale,et al.  Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.

[67]  P. Rakic Specification of cerebral cortical areas. , 1988, Science.

[68]  N. Martin,et al.  Model-fitting approaches to the analysis of human behaviour , 1978, Heredity.