Literature DB >> 20006715

Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.

Anderson M Winkler1, Peter Kochunov, John Blangero, Laura Almasy, Karl Zilles, Peter T Fox, Ravindranath Duggirala, David C Glahn.   

Abstract

Choosing the appropriate neuroimaging phenotype is critical to successfully identify genes that influence brain structure or function. While neuroimaging methods provide numerous potential phenotypes, their role for imaging genetics studies is unclear. Here we examine the relationship between brain volume, grey matter volume, cortical thickness and surface area, from a genetic standpoint. Four hundred and eighty-six individuals from randomly ascertained extended pedigrees with high-quality T1-weighted neuroanatomic MRI images participated in the study. Surface-based and voxel-based representations of brain structure were derived, using automated methods, and these measurements were analysed using a variance-components method to identify the heritability of these traits and their genetic correlations. All neuroanatomic traits were significantly influenced by genetic factors. Cortical thickness and surface area measurements were found to be genetically and phenotypically independent. While both thickness and area influenced volume measurements of cortical grey matter, volume was more closely related to surface area than cortical thickness. This trend was observed for both the volume-based and surface-based techniques. The results suggest that surface area and cortical thickness measurements should be considered separately and preferred over gray matter volumes for imaging genetic studies. Copyright 2009 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 20006715      PMCID: PMC2891595          DOI: 10.1016/j.neuroimage.2009.12.028

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  70 in total

1.  Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. I. Likelihood formulation and simulation results.

Authors:  J T Williams; P Van Eerdewegh; L Almasy; J Blangero
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

2.  Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain.

Authors:  E T Bullmore; J Suckling; S Overmeyer; S Rabe-Hesketh; E Taylor; M J Brammer
Journal:  IEEE Trans Med Imaging       Date:  1999-01       Impact factor: 10.048

3.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

Review 4.  Basal process and cell divisions of neural progenitors in the developing brain.

Authors:  Yoichi Kosodo; Wieland B Huttner
Journal:  Dev Growth Differ       Date:  2009-04       Impact factor: 2.053

5.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

6.  The migration of neuroblasts in the developing cerebral cortex.

Authors:  M Berry; A W Rogers
Journal:  J Anat       Date:  1965-10       Impact factor: 2.610

7.  Size and shape of the cerebral cortex in mammals. I. The cortical surface.

Authors:  M A Hofman
Journal:  Brain Behav Evol       Date:  1985       Impact factor: 1.808

8.  Control of cortical interneuron migration by neurotrophins and PI3-kinase signaling.

Authors:  Franck Polleux; Kristin L Whitford; Paul A Dijkhuizen; Tania Vitalis; Anirvan Ghosh
Journal:  Development       Date:  2002-07       Impact factor: 6.868

9.  Cortical folding patterns and predicting cytoarchitecture.

Authors:  Bruce Fischl; Niranjini Rajendran; Evelina Busa; Jean Augustinack; Oliver Hinds; B T Thomas Yeo; Hartmut Mohlberg; Katrin Amunts; Karl Zilles
Journal:  Cereb Cortex       Date:  2007-12-12       Impact factor: 5.357

10.  Voxel-based cortical thickness measurements in MRI.

Authors:  Chloe Hutton; Enrico De Vita; John Ashburner; Ralf Deichmann; Robert Turner
Journal:  Neuroimage       Date:  2008-02-01       Impact factor: 6.556

View more
  440 in total

1.  Evidence from structural and diffusion tensor imaging for frontotemporal deficits in psychometric schizotypy.

Authors:  Pamela DeRosse; George C Nitzburg; Toshikazu Ikuta; Bart D Peters; Anil K Malhotra; Philip R Szeszko
Journal:  Schizophr Bull       Date:  2014-11-11       Impact factor: 9.306

2.  Chronic cigarette smoking in alcohol dependence: associations with cortical thickness and N-acetylaspartate levels in the extended brain reward system.

Authors:  Timothy C Durazzo; Anderson Mon; Stefan Gazdzinski; Dieter J Meyerhoff
Journal:  Addict Biol       Date:  2011-11-09       Impact factor: 4.280

3.  Genetic and environmental influences of white and gray matter signal contrast: a new phenotype for imaging genetics?

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Thomas S Kubarych; Chi-Hua Chen; Lisa T Eyler; Bruce Fischl; Carol E Franz; Michael D Grant; Samar Hamza; Amy Jak; Terry L Jernigan; Michael J Lyons; Michael C Neale; Elizabeth C Prom-Wormley; Larry Seidman; Ming T Tsuang; Hao Wu; Hong Xian; Anders M Dale; William S Kremen
Journal:  Neuroimage       Date:  2012-02-08       Impact factor: 6.556

4.  Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?

Authors:  Herve Lemaitre; Aaron L Goldman; Fabio Sambataro; Beth A Verchinski; Andreas Meyer-Lindenberg; Daniel R Weinberger; Venkata S Mattay
Journal:  Neurobiol Aging       Date:  2010-08-23       Impact factor: 4.673

Review 5.  Imaging genomics.

Authors:  Paul M Thompson; Nicholas G Martin; Margaret J Wright
Journal:  Curr Opin Neurol       Date:  2010-08       Impact factor: 5.710

Review 6.  Genetic architecture of declarative memory: implications for complex illnesses.

Authors:  Carrie E Bearden; Katherine H Karlsgodt; Peter Bachman; Theo G M van Erp; Anderson M Winkler; David C Glahn
Journal:  Neuroscientist       Date:  2011-08-10       Impact factor: 7.519

7.  How bilingualism protects the brain from aging: Insights from bimodal bilinguals.

Authors:  Le Li; Jubin Abutalebi; Karen Emmorey; Gaolang Gong; Xin Yan; Xiaoxia Feng; Lijuan Zou; Guosheng Ding
Journal:  Hum Brain Mapp       Date:  2017-05-17       Impact factor: 5.038

8.  Basal ganglia volume in unmedicated patients with schizophrenia is associated with treatment response to antipsychotic medication.

Authors:  Nathan L Hutcheson; David G Clark; Mark S Bolding; David M White; Adrienne C Lahti
Journal:  Psychiatry Res       Date:  2013-10-22       Impact factor: 3.222

9.  Cortical Thickness and Subcortical Gray Matter Volume in Pediatric Anxiety Disorders.

Authors:  Andrea L Gold; Elizabeth R Steuber; Lauren K White; Jennifer Pacheco; Jessica F Sachs; David Pagliaccio; Erin Berman; Ellen Leibenluft; Daniel S Pine
Journal:  Neuropsychopharmacology       Date:  2017-04-24       Impact factor: 7.853

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

Authors:  Eero Vuoksimaa; Matthew S Panizzon; Chi-Hua Chen; Mark Fiecas; Lisa T Eyler; Christine Fennema-Notestine; Donald J Hagler; Bruce Fischl; Carol E Franz; Amy Jak; Michael J Lyons; Michael C Neale; Daniel A Rinker; Wesley K Thompson; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2014-02-18       Impact factor: 5.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.