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Genetic and environmental influences on cortical mean diffusivity

Jeremy A. Elman, Matthew S. Panizzon, Donald J. Hagler, Christine Fennema-Notestine, Lisa T. Eyler, Nathan A. Gillespie, Michael C. Neale, Michael J. Lyons, Carol E. Franz, Linda K. McEvoy, Anders M. Dale, William S. Kremen
2017 NeuroImage  
Thus, due to its potential clinical relevance, we examined the genetic and environmental influences on cortical MD in middle-aged men to provide support for the biological relevance of this measure and  ...  Thus, we investigated whether genetic influences on variation in cortical MD are the same or different from those influencing cortical thickness and MD of white matter (WM) subjacent to the cortical ribbon  ...  The study was supported by awards from the National Institutes of Health/National Institute on Aging [R01s AG018386,  ... 
doi:10.1016/j.neuroimage.2016.11.032 pmid:27864081 pmcid:PMC5322245 fatcat:63trolzufng65c3tj35iov6ujq

Genetic Connectivity–Correlated Genetic Control of Cortical Thickness, Brain Volume, and White Matter [chapter]

Daniel A. Rinker, Neda Jahanshad, Derrek P. Hibar, Joshua Faskowitz, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Paul M. Thompson
2018 Imaging Genetics  
MRI and DWI measures of brain volume, cortical thickness and white-matter integrity are commonly used in imaging genetics studies, yet the underlying genetic relationship between these measures is not  ...  We found significant genetic association between several WM tracts and subcortical volume ROIs, notably the thalamus and pallidum. Correlation between cortical thickness and volume and WM was low.  ...  With this multivariate SEM, we then get r A and r C , which denote the additive genetic and shared environmental influences on the correlations between the two phenotypes, respectively.  ... 
doi:10.1016/b978-0-12-813968-4.00002-x fatcat:4sodlk7ffreulbjgrbsc376dzy

What Twin Studies Tell Us About the Heritability of Brain Development, Morphology, and Function: A Review

Arija G. Jansen, Sabine E. Mous, Tonya White, Danielle Posthuma, Tinca J. C. Polderman
2015 Neuropsychology Review  
The extent to which this variation is due to genetic or environmental influences has been investigated in twin studies using structural and functional Magnetic Resonance Imaging (MRI).  ...  The current review presents an overview of twin studies using MRI in children, adults and elderly, and focuses on cross-sectional and longitudinal designs.  ...  and the source are credited.  ... 
doi:10.1007/s11065-015-9278-9 pmid:25672928 pmcid:PMC4412550 fatcat:qpbxj2yfuvczhdmk7ptqik3ccm

Multivariate Genetic Structure of Externalizing Behavior and Structural Brain Development in a Longitudinal Adolescent Twin Sample

Jalmar Teeuw, Marieke Klein, Nina Roth Mota, Rachel M. Brouwer, Dennis van 't Ent, Zyneb Al-Hassaan, Barbara Franke, Dorret I. Boomsma, Hilleke E. Hulshoff Pol
2022 International Journal of Molecular Sciences  
Genetic covariance modeling based on the classical twin design, extended to also include siblings of twins, showed that genes influence externalizing behavior and changes therein (h2 up to 88%).  ...  We assessed externalizing behavior with the Child Behavior Checklist and Youth Self Report, and the brain volumes and white matter integrity (fractional anisotropy [FA] and mean diffusivity [MD]) with  ...  the same individuals, allows for estimating the dynamics of genetic and environmental influences on traits over age.  ... 
doi:10.3390/ijms23063176 pmid:35328598 pmcid:PMC8949114 fatcat:tq7ab4betrdufik4jtlegysrli

Genetic Variation in Schizophrenia Liability is Shared With Intellectual Ability and Brain Structure

Marc M. Bohlken, Rachel M. Brouwer, René C. W. Mandl, René S. Kahn, Hilleke E. Hulshoff Pol
2016 Schizophrenia Bulletin  
The strongest contributor was IQ, sharing on average 16.4% of the genetic variance in schizophrenia liability, followed by cortical thickness (6.3%), global-FA (4.7%) and cortical surface (0.5%).  ...  on human brain structure (cortical thickness, cortical surface and global white matter fractional anisotropy [FA]), intellectual ability and schizophrenia liability.  ...  decomposition with additive genetic (A) and unique environmental (E) influences for IQ and brain measures.  ... 
doi:10.1093/schbul/sbw034 pmid:27056715 pmcid:PMC4988741 fatcat:4gksp32laffcvjd4biuhou5uam

Heritability of DTI and MTR in nine-year-old children

Rachel M. Brouwer, René C.W. Mandl, Jiska S. Peper, G. Caroline M. van Baal, René S. Kahn, Dorret I. Boomsma, Hilleke E. Hulshoff Pol
2010 NeuroImage  
The differences in the extent to which genetic and environmental factors influence the various diffusion parameters and MTR, suggest that different physiological mechanisms (either genetic or environmental  ...  The influence of genes on variation in focal gray and white matter density is less pronounced and may vary with age.  ...  The aim of this study was to disentangle influences of genetic and environmental factors on variation in diffusion parameters and MTR in a sample of 185 nine-year-old twins.  ... 
doi:10.1016/j.neuroimage.2010.03.017 pmid:20298793 fatcat:43elaczaozehleplhhgnjktsg4

Genetic influences on thinning of the cerebral cortex during development

I.L.C. van Soelen, R.M. Brouwer, G.C.M. van Baal, H.G. Schnack, J.S. Peper, D.L. Collins, A.C. Evans, R.S. Kahn, D.I. Boomsma, H.E. Hulshoff Pol
2012 NeuroImage  
Two factors influenced cortical thinning in the frontal poles: one of decreasing influence over time, and another independent genetic factor emerging at age 12 in left and right frontal poles.  ...  Furthermore, different genetic factors are responsible for variation in cortical thickness at ages 9 and 12, with independent genetic factors acting on cortical thickness across time and between various  ...  Acknowledgments We thank the twins and their parents for making this study possible.  ... 
doi:10.1016/j.neuroimage.2011.11.044 pmid:22155028 fatcat:tispqkdrmfau3kwmmtyrrpxay4

Variance decomposition of MRI-based covariance maps using genetically informative samples and structural equation modeling

J. Eric Schmitt, Rhoshel K. Lenroot, Sarah E. Ordaz, Gregory L. Wallace, Jason P. Lerch, Alan C. Evans, Elizabeth C. Prom, Kenneth S. Kendler, Michael C. Neale, Jay N. Giedd
2009 NeuroImage  
Using these tools, we produced correlational maps of genetic and environmental (i.e. nongenetic) relationships between several regions of interest and the cortical surface in a large pediatric sample of  ...  These analyses demonstrated high, fairly uniform, statistically significant genetic correlations between the entire cortex and global mean cortical thickness.  ...  Acknowledgments This research was supported by NIH grants MH-65322, MH-20030, and DA-18673. Reference List  ... 
doi:10.1016/j.neuroimage.2008.06.039 pmid:18672072 pmcid:PMC2996833 fatcat:m2gyx4eod5gr3onfm6f2fgyo6m

The contribution of genes to cortical thickness and volume

Anand A. Joshi, Natasha Leporé, Shantanu H. Joshi, Agatha D. Lee, Marina Barysheva, Jason L. Stein, Katie L. McMahon, Kori Johnson, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Arthur W. Toga (+1 others)
2011 NeuroReport  
This was achieved using an A/C/E structural equation model that divides the variance of these traits, at each point on the cortex, into additive genetic (A), shared (C), and unique environmental (E) components  ...  A strong genetic influence was found in frontal and parietal regions.  ...  Acknowledgements This study was supported by NIH grants R01 HD050735, U54 RR021813 and P41 RR013642 and the National Health and Medical Research Council, Australia grant 496682.  ... 
doi:10.1097/wnr.0b013e3283424c84 pmid:21233781 pmcid:PMC3079384 fatcat:pcs4rlt7f5d43bdx44in2mloza

White Matter Development in Early Puberty: A Longitudinal Volumetric and Diffusion Tensor Imaging Twin Study

Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Inge L. C. van Soelen, G. Caroline van Baal, Jiska S. Peper, René S. Kahn, Dorret I. Boomsma, H. E. Hulshoff Pol, Yong He
2012 PLoS ONE  
The extent to which the same or different genetic and/or environmental factors drive these two aspects of white matter maturation is currently unknown.  ...  PLoS ONE 7(4): e32316.  ...  Genetic (r g ) and environmental (r e ) correlations, representing the amount of overlap between genetic and environmental factors that influence both traits, were derived from the bivariate model [25  ... 
doi:10.1371/journal.pone.0032316 pmid:22514599 pmcid:PMC3326005 fatcat:2st4idfll5folhqv4ymlrns6kq

Genetic and environmental influences on mean diffusivity and volume in subcortical brain regions

Nathan A. Gillespie, Michael C. Neale, Donald J. Hagler, Lisa T. Eyler, Christine Fennema-Notestine, Carol E. Franz, Michael J. Lyons, Linda K. McEvoy, Anders M. Dale, Matthew S. Panizzon, William S. Kremen
2017 Human Brain Mapping  
Based on bivariate twin modeling, variation in subcortical MD appears to be both genetically and environmentally unrelated to individual differences in subcortical volume.  ...  Increased mean diffusivity (MD) is hypothesized to reflect tissue degeneration and may provide subtle indicators of neuropathology as well as age-related brain changes in the absence of volumetric differences  ...  ACKNOWLEDGMENTS The content of this manuscript is the responsibility of the authors and does not represent official views of NIA/ NIH, or the Veterans' Administration.  ... 
doi:10.1002/hbm.23544 pmid:28240386 pmcid:PMC5810123 fatcat:63t4sxyxljei7nzkpfzyc2ptte

Investigating brain connectivity heritability in a twin study using diffusion imaging data

Kai-Kai Shen, Stephen Rose, Jurgen Fripp, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Paul M. Thompson, Margaret J. Wright, Olivier Salvado
2014 NeuroImage  
The highly heritable tracts were found to connect particular cortical regions, such as medial frontal cortices, postcentral, paracentral gyri, and the right hippocampus.  ...  This was taken into account when computing heritability of FOD peaks using an ACE model on the monozygotic and dizygotic twins.  ...  Acknowledgment This research is supported by the Science and Industry Endowment Fund. KS is the recipient of a John Stocker Postdoctoral Fellowship from the Science and Industry Endowment Fund.  ... 
doi:10.1016/j.neuroimage.2014.06.041 pmid:24973604 pmcid:PMC4291188 fatcat:fv4aed2kprcobfknln536nfz6y

Heritability and genetic correlation between the cerebral cortex and associated white matter connections

Kai-Kai Shen, Vincent Doré, Stephen Rose, Jurgen Fripp, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Paul M. Thompson, Margaret J. Wright, Olivier Salvado
2016 Human Brain Mapping  
We found some cortical regions displaying heritable and genetically correlated GM thickness and WM connectivity, forming networks under stronger genetic influence.  ...  The aim of this study is to investigate the genetic influence on the cerebral cortex, based on the analyses of heritability and genetic correlation between grey matter (GM) thickness, derived from structural  ...  They thank the many research assistants, radiographers, and other staff at QIMR Berghofer Medical Research Institute, Brisbane, and the Centre for Advanced Imaging, University of Queensland, Australia.  ... 
doi:10.1002/hbm.23177 pmid:27006297 pmcid:PMC4883001 fatcat:gzfdyngxzbf5nktqzv5ur4qzge

Discovery of genes that affect human brain connectivity: A genome-wide analysis of the connectome

Neda Jahanshad, Derrek P. Hibar, April Ryles, Arthur W. Toga, Katie L. McMahon, Greig I. de Zubicaray, Narelle K. Hansell, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2012 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)  
The resulting genes may offer new leads for mechanisms influencing aberrant connectivity and neurodegeneration.  ...  GWAS permutations at various levels of heritability, and split-sample replication, validated our genetic findings.  ...  The degree of genetic influence on a particular trait can be determined by studying twins.  ... 
doi:10.1109/isbi.2012.6235605 pmid:22903411 pmcid:PMC3420975 dblp:conf/isbi/JahanshadHRTMZHMMWT12 fatcat:jfm66x6z5fakbn6ijvpszn2sha

Multivariate variance-components analysis in DTI

Agatha D. Lee, Natasha Lepore, Jan de Leeuw, Caroline C. Brun, Marina Barysheva, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2010 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
Twin studies are a major research direction in imaging genetics, a new field, which combines algorithms from quantitative genetics and neuroimaging to assess genetic effects on the brain.  ...  We computed proportion of phenotypic variance due to additive (A) genetic factors, common (C) and unique (E) environmental factors using a new definition of the variance components in the diffusion tensor-valued  ...  Many prior studies examined genetic influences on aspects of brain anatomy such as regional gray and white matter volumes [4] , fiber structure [5] , [13] , and cortical thickness [23] .  ... 
doi:10.1109/isbi.2010.5490199 pmid:30555623 pmcid:PMC6291217 fatcat:d73ckecgpnfdvbd2y333fqdg24
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