Neuroimaging and Genetics: Exploring, Searching, and Finding

Smit, Dirk J. A., van't Ent, Dennis, de Zubicaray, Greig and Stein, Jason L. (2012) Neuroimaging and Genetics: Exploring, Searching, and Finding. Twin Research and Human Genetics, 15 3: 267-272. doi:10.1017/thg.2012.20

Author Smit, Dirk J. A.
van't Ent, Dennis
de Zubicaray, Greig
Stein, Jason L.
Title Neuroimaging and Genetics: Exploring, Searching, and Finding
Journal name Twin Research and Human Genetics   Check publisher's open access policy
ISSN 1832-4274
Publication date 2012-06
Year available 2012
Sub-type Editorial
DOI 10.1017/thg.2012.20
Volume 15
Issue 3
Start page 267
End page 272
Total pages 6
Place of publication Cambridge, United Kingdom
Publisher Cambridge University Press
Collection year 2013
Language eng
Formatted abstract
This issue on the genetics of brain imaging phenotypes is a celebration of the happy marriage between two of science's highly interesting fields: neuroscience and genetics. The articles collected here are ample evidence that a good deal of synergy exists in this marriage. A wide selection of papers is presented that provide many different perspectives on how genes cause variation in brain structure and function, which in turn influence behavioral phenotypes (including psychopathology). They are examples of the many different methodologies in contemporary genetics and neuroscience research. Genetic methodology includes genome-wide association (GWA), candidate-gene association, and twin studies. Sources of data on brain phenotypes include cortical gray matter (GM) structural/volumetric measures from magnetic resonance imaging (MRI); white matter (WM) measures from diffusion tensor imaging (DTI), such as fractional anisotropy; functional- (activity-) based measures from electroencephalography (EEG), and functional MRI (fMRI). Together, they reflect a combination of scientific fields that have seen great technological advances, whether it is the single-nucleotide polymorphism (SNP) array in genetics, the increasingly high-resolution MRI imaging, or high angular resolution diffusion imaging technique for measuring WM connective properties.
Keyword Resting State Networks
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Editorial
Collections: Non HERDC
School of Psychology Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 12 Apr 2013, 11:19:37 EST by Mrs Alison Pike on behalf of School of Psychology