Altered Structural Brain Connectivity in Healthy Carriers of the Autism Risk Gene, CNTNAP2

Recently, carriers of a common variant in the autism risk gene, CNTNAP2, were found to have altered functional brain connectivity using functional MRI. Here, we scanned 328 young adults with high-field (4-Tesla) diffusion imaging, to test the hypothesis that carriers of this gene variant would have altered structural brain connectivity. All participants (209 women, 119 men, age: 23.4±2.17 SD years) were scanned with 105-gradient high-angular-resolution diffusion imaging (HARDI) at 4 Tesla. After performing a whole-brain fiber tractography using the full angular resolution of the diffusion scans, 70 cortical surface-based regions of interest were created from each individual's co-registered anatomical data to compute graph metrics for all pairs of cortical regions. In graph theory analyses, subjects homozygous for the risk allele (CC) had lower characteristic path length, greater small-worldness and global efficiency in whole-brain analyses, and lower [corrected] eccentricity (maximum path length) in 60 of the 70 nodes in regional analyses. These results were not reducible to differences in more commonly studied traits such as fiber density or fractional anisotropy. This is the first study that links graph theory metrics of brain structural connectivity to a common genetic variant linked with autism and will help us understand the neurobiology of the circuits implicated in the risk for autism.

[1]  Paul M. Thompson,et al.  Multi-atlas tensor-based morphometry and its application to a genetic study of 92 twins , 2008 .

[2]  M. Annett A classification of hand preference by association analysis. , 1970, British journal of psychology.

[3]  Alan C. Evans,et al.  Enhancement of MR Images Using Registration for Signal Averaging , 1998, Journal of Computer Assisted Tomography.

[4]  Richard S. Frackowiak,et al.  Normal variation in fronto-occipital circuitry and cerebellar structure with an autism-associated polymorphism of CNTNAP2 , 2010, NeuroImage.

[5]  Paul M. Thompson,et al.  journal homepage: www.elsevier.com/locate/ynimg Genetic influences on brain asymmetry: A DTI study of 374 twins and siblings , 2022 .

[6]  Paul M. Thompson,et al.  The multivariate A/C/E model and the genetics of fiber architecture , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[7]  O. Sporns,et al.  Organization, development and function of complex brain networks , 2004, Trends in Cognitive Sciences.

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

[9]  M. Stein,et al.  A Common Genetic Variant in the Neurexin Superfamily Member CNTNAP2 Is Associated with Increased Risk for Selective Mutism and Social Anxiety-Related Traits , 2011, Biological Psychiatry.

[10]  Paul M. Thompson,et al.  Extending Genetic Linkage Analysis to Diffusion Tensor Images to Map Single Gene Effects on Brain Fiber Architecture , 2009, MICCAI.

[11]  Peter Stoeter,et al.  Association of 5′ end neuregulin-1 (NRG1) gene variation with subcortical medial frontal microstructure in humans , 2008, NeuroImage.

[12]  O. Sporns,et al.  White matter maturation reshapes structural connectivity in the late developing human brain , 2010, Proceedings of the National Academy of Sciences.

[13]  Paul M. Thompson,et al.  Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure: An N=531 twin study , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[14]  P. Huttenlocher Morphometric study of human cerebral cortex development , 1990, Neuropsychologia.

[15]  Margaret A. Pericak-Vance,et al.  A genome-wide scan for common alleles affecting risk for autism , 2010, Human molecular genetics.

[16]  Paul M. Thompson,et al.  Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties , 2005, IPMI.

[17]  A M McIntosh,et al.  The effects of a neuregulin 1 variant on white matter density and integrity , 2008, Molecular Psychiatry.

[18]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[19]  A Pfefferbaum,et al.  Genetic regulation of regional microstructure of the corpus callosum in late life , 2001, Neuroreport.

[20]  N. Jahanshad,et al.  Brain structure in healthy adults is related to serum transferrin and the H63D polymorphism in the HFE gene , 2012, Proceedings of the National Academy of Sciences.

[21]  O. Sporns Networks of the Brain , 2010 .

[22]  Danielle S Bassett,et al.  Brain graphs: graphical models of the human brain connectome. , 2011, Annual review of clinical psychology.

[23]  Paul M. Thompson,et al.  A genetic analysis of cortical thickness in 372 twins , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[24]  D. Heckerman,et al.  Efficient Control of Population Structure in Model Organism Association Mapping , 2008, Genetics.

[25]  Zeynep F. Altun,et al.  Neuroscience Databases , 2003, Springer US.

[26]  M. Gazzaniga,et al.  Modular organization of cognitive systems masked by interhemispheric integration. , 1998, Science.

[27]  George Zouridakis,et al.  Functional connectivity networks in the autistic and healthy brain assessed using Granger causality , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[28]  Olaf Sporns,et al.  Graph Theory Methods for the Analysis of Neural Connectivity Patterns , 2003 .

[29]  Thomas Bourgeron,et al.  Mapping autism risk loci using genetic linkage and chromosomal rearrangements , 2007, Nature Genetics.

[30]  D. Geschwind,et al.  Absence of CNTNAP2 Leads to Epilepsy, Neuronal Migration Abnormalities, and Core Autism-Related Deficits , 2011, Cell.

[31]  D. Chialvo Emergent complex neural dynamics , 2010, 1010.2530.

[32]  Russell A. Poldrack,et al.  Altered Functional Connectivity in Frontal Lobe Circuits Is Associated with Variation in the Autism Risk Gene CNTNAP2 , 2010, Science Translational Medicine.

[33]  J. Sebat,et al.  Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene. , 2008, American journal of human genetics.

[34]  Edward T. Bullmore,et al.  Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.

[35]  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.

[36]  Paul M. Thompson,et al.  Tensor-Based Analysis of Genetic Influences on Brain Integrity Using DTI in 100 Twins , 2009, MICCAI.

[37]  N. Kabani,et al.  Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. , 2008, Cerebral cortex.

[38]  M. Horsfield,et al.  Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging , 1999, Magnetic resonance in medicine.

[39]  G. Sapiro,et al.  Reconstruction of the orientation distribution function in single‐ and multiple‐shell q‐ball imaging within constant solid angle , 2010, Magnetic resonance in medicine.

[40]  Ming-Chang Chiang,et al.  Predicting White Matter Integrity from Multiple Common Genetic Variants , 2012, Neuropsychopharmacology.

[41]  Paul M. Thompson,et al.  Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29 , 2011, NeuroImage.

[42]  D. Geschwind,et al.  A functional genetic link between distinct developmental language disorders. , 2008, The New England journal of medicine.

[43]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[44]  Jonathan D. Power,et al.  Prediction of Individual Brain Maturity Using fMRI , 2010, Science.

[45]  N. Jahanshad,et al.  Common Alzheimer's Disease Risk Variant Within the CLU Gene Affects White Matter Microstructure in Young Adults , 2011, The Journal of Neuroscience.

[46]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[47]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[48]  M. Just,et al.  Functional and anatomical cortical underconnectivity in autism: evidence from an FMRI study of an executive function task and corpus callosum morphometry. , 2007, Cerebral cortex.

[49]  P. Thompson,et al.  Multilocus Genetic Analysis of Brain Images , 2011, Front. Gene..

[50]  Peter Shrager,et al.  Caspr2, a New Member of the Neurexin Superfamily, Is Localized at the Juxtaparanodes of Myelinated Axons and Associates with K+ Channels , 1999, Neuron.

[51]  Paul M. Thompson,et al.  Multivariate variance-components analysis in DTI , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[52]  Katarzyna Chawarska,et al.  Molecular cytogenetic analysis and resequencing of contactin associated protein-like 2 in autism spectrum disorders. , 2008, American journal of human genetics.

[53]  R. Kahn,et al.  Multivariate Genetic Analysis of Brain Structure in an Extended Twin Design , 2000, Behavior genetics.

[54]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[55]  D. Stephan,et al.  Recessive symptomatic focal epilepsy and mutant contactin-associated protein-like 2. , 2006, The New England journal of medicine.

[56]  Essa Yacoub,et al.  A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography , 2011, Medical Image Anal..

[57]  Colin L. Stewart,et al.  Juxtaparanodal clustering of Shaker-like K+ channels in myelinated axons depends on Caspr2 and TAG-1 , 2003, The Journal of cell biology.

[58]  Danielle S. Bassett,et al.  Conserved and variable architecture of human white matter connectivity , 2011, NeuroImage.

[59]  Tanya M. Teslovich,et al.  A common genetic variant in the neurexin superfamily member CNTNAP2 increases familial risk of autism. , 2008, American journal of human genetics.

[60]  C. J. Honeya,et al.  Predicting human resting-state functional connectivity from structural connectivity , 2009 .

[61]  Paul M. Thompson,et al.  Submitted to: , 2008 .

[62]  D. Geschwind,et al.  Genome-wide analyses of human perisylvian cerebral cortical patterning , 2007, Proceedings of the National Academy of Sciences.