Genetic Contributions to Human Brain Morphology and Intelligence

Variation in gray matter (GM) and white matter (WM) volume of the adult human brain is primarily genetically determined. Moreover, total brain volume is positively correlated with general intelligence, and both share a common genetic origin. However, although genetic effects on morphology of specific GM areas in the brain have been studied, the heritability of focal WM is unknown. Similarly, it is unresolved whether there is a common genetic origin of focal GM and WM structures with intelligence. We explored the genetic influence on focal GM and WM densities in magnetic resonance brain images of 54 monozygotic and 58 dizygotic twin pairs and 34 of their siblings. For genetic analyses, we used structural equation modeling and voxel-based morphometry. To explore the common genetic origin of focal GM and WM areas with intelligence, we obtained cross-trait/cross-twin correlations in which the focal GM and WM densities of each twin are correlated with the psychometric intelligence quotient of his/her cotwin. Genes influenced individual differences in left and right superior occipitofrontal fascicle (heritability up to 0.79 and 0.77), corpus callosum (0.82, 0.80), optic radiation (0.69, 0.79), corticospinal tract (0.78, 0.79), medial frontal cortex (0.78, 0.83), superior frontal cortex (0.76, 0.80), superior temporal cortex (0.80, 0.77), left occipital cortex (0.85), left postcentral cortex (0.83), left posterior cingulate cortex (0.83), right parahippocampal cortex (0.69), and amygdala (0.80, 0.55). Intelligence shared a common genetic origin with superior occipitofrontal, callosal, and left optical radiation WM and frontal, occipital, and parahippocampal GM (phenotypic correlations up to 0.35). These findings point to a neural network that shares a common genetic origin with human intelligence.

[1]  Dorret I Boomsma,et al.  Twin-singleton differences in brain structure using structural equation modelling. , 2002, Brain : a journal of neurology.

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

[3]  R. Kahn,et al.  Automated Separation of Gray and White Matter from MR Images of the Human Brain , 2001, NeuroImage.

[4]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

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

[6]  D. Posthuma,et al.  Perceptual Speed and IQ Are Associated Through Common Genetic Factors , 2001, Behavior genetics.

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

[8]  M. Yașargil,et al.  Is there a superior occipitofrontal fasciculus? A microsurgical anatomic study. , 1997, Neurosurgery.

[9]  L. Peltonen,et al.  Classical twin studies and beyond , 2002, Nature Reviews Genetics.

[10]  Pietro Mazzoni,et al.  The Behavioral Neurology of White Matter , 2003 .

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

[12]  K. Zilles,et al.  Histological visualization of long fiber tracts in the white matter of adult human brains. , 1997, Journal fur Hirnforschung.

[13]  D. Louis Collins,et al.  Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .

[14]  Derek K. Jones,et al.  Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain , 2002, NeuroImage.

[15]  Newell,et al.  A neural basis for general intelligence , 2000, American journal of ophthalmology-glaucoma.

[16]  R. Kahn,et al.  Quantitative genetic modeling of variation in human brain morphology. , 2001, Cerebral cortex.

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

[18]  Alan C. Evans,et al.  Focal gray matter density changes in schizophrenia. , 2001, Archives of general psychiatry.

[19]  J. Nurnberger,et al.  Diagnostic interview for genetic studies. Rationale, unique features, and training. NIMH Genetics Initiative. , 1994, Archives of general psychiatry.

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

[21]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[22]  D. Louis Collins,et al.  Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity , 2004, NeuroImage.

[23]  Dorret I. Boomsma,et al.  A Note on the Statistical Power in Extended Twin Designs , 2000, Behavior genetics.

[24]  S. Canabarro,et al.  Dental erosion: diagnostic-based noninvasive treatment. , 2000, Practical periodontics and aesthetic dentistry : PPAD.

[25]  A. Meyer-Lindenberg,et al.  The Brain-derived Neurotrophic Factor Val66met Polymorphism and Variation in Human Cortical Morphology , 2022 .

[26]  Richard S. J. Frackowiak,et al.  Navigation-related structural change in the hippocampi of taxi drivers. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[27]  J. Rademacher,et al.  Variability and asymmetry in the human precentral motor system. A cytoarchitectonic and myeloarchitectonic brain mapping study. , 2001, Brain : a journal of neurology.

[28]  Karl J. Friston,et al.  Structural Covariance in the Human Cortex , 2005, The Journal of Neuroscience.

[29]  K. Amunts,et al.  Interhemispheric asymmetry of the human motor cortex related to handedness and gender , 2000, Neuropsychologia.

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

[31]  J. Voogd,et al.  The Human Central Nervous System , 1978, Springer Berlin Heidelberg.

[32]  A. Schleicher,et al.  21 – Quantitative Analysis of Cyto- and Receptor Architecture of the Human Brain , 2002 .

[33]  Simon B. Eickhoff,et al.  Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space—The roles of Brodmann areas 44 and 45 , 2004, NeuroImage.

[34]  A. Schleicher,et al.  Mapping of Histologically Identified Long Fiber Tracts in Human Cerebral Hemispheres to the MRI Volume of a Reference Brain: Position and Spatial Variability of the Optic Radiation , 1999, NeuroImage.

[35]  A. Toga,et al.  Genetics of brain structure and intelligence. , 2005, Annual review of neuroscience.

[36]  Rex E. Jung,et al.  The neuroanatomy of general intelligence: sex matters , 2005, NeuroImage.

[37]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[38]  Adolf Pfefferbaum,et al.  Brain structure in men remains highly heritable in the seventh and eighth decades of life☆ , 2000, Neurobiology of Aging.

[39]  J. Dejerine Anatomie des centres nerveux , 1895 .

[40]  D. Posthuma,et al.  Twin–singleton differences in intelligence? , 2000, Twin Research.

[41]  E. Crosby,et al.  Correlative Anatomy of the Nervous System , 1962 .

[42]  C. Chabris,et al.  Neural mechanisms of general fluid intelligence , 2003, Nature Neuroscience.

[43]  David N. Kennedy,et al.  A Twin MRI Study of Size Variations in the Human Brain , 2000, Journal of Cognitive Neuroscience.

[44]  D. Pandya,et al.  Association fiber pathways to the frontal cortex from the superior temporal region in the rhesus monkey , 1988, The Journal of comparative neurology.

[45]  Karl J. Friston,et al.  A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.

[46]  N C Andreasen,et al.  The Comprehensive Assessment of Symptoms and History (CASH). An instrument for assessing diagnosis and psychopathology. , 1992, Archives of general psychiatry.

[47]  E. T. Bullmore,et al.  Genetic Contributions to Regional Variability in Human Brain Structure: Methods and Preliminary Results , 2002, NeuroImage.