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Meeting the Challenges of Neuroimaging Genetics

Authors
  • de Zubicaray, Greig I.1, 2
  • Chiang, Ming-Chang3
  • McMahon, Katie L.1
  • Shattuck, David W.3
  • Toga, Arthur W.3
  • Martin, Nicholas G.4
  • Wright, Margaret J.4
  • Thompson, Paul M.3
  • 1 University of Queensland, Centre for Magnetic Resonance, Brisbane, Australia , Brisbane (Australia)
  • 2 The University of Queensland, fMRI Laboratory, Centre for Magnetic Resonance, Brisbane, Queensland, 4072, Australia , Brisbane (Australia)
  • 3 UCLA School of Medicine, Laboratory of Neuro Imaging, Department of Neurology, Los Angeles, CA, USA , Los Angeles (United States)
  • 4 Queensland Institute of Medical Research, Genetic Epidemiology Laboratory, Brisbane, Australia , Brisbane (Australia)
Type
Published Article
Journal
Brain Imaging and Behavior
Publisher
Springer-Verlag
Publication Date
Aug 05, 2008
Volume
2
Issue
4
Identifiers
DOI: 10.1007/s11682-008-9029-0
Source
Springer Nature
Keywords
License
Yellow

Abstract

As research encompassing neuroimaging and genetics gains momentum, extraordinary information will be uncovered on the genetic architecture of the human brain. However, there are significant challenges to be addressed first. Not the least of these challenges is to accomplish the sample size necessary to detect subtle genetic influences on the morphometry and function of the healthy brain. Aside from sample size, image acquisition and analysis methods need to be refined in order to ensure optimum sensitivity to genetic and complementary environmental influences. Then there is the vexing issue of interpreting the resulting data. We describe how researchers from the east coast of Australia and the west coast of America have embarked upon a collaboration to meet these challenges using data currently being collected from a large-scale twin study, and offer some opinions about future directions in the field.

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