From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging

Research output: Contribution to journal › Journal article › Research › peer-review

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From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging. / Siebner, H R; Callicott, J H; Sommer, T; Mattay, V S.

In: Neuroscience, Vol. 164, No. 1, 2009, p. 1-6.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Siebner, HR, Callicott, JH, Sommer, T & Mattay, VS 2009, 'From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging', Neuroscience, vol. 164, no. 1, pp. 1-6. https://doi.org/10.1016/j.neuroscience.2009.09.009

APA

Siebner, H. R., Callicott, J. H., Sommer, T., & Mattay, V. S. (2009). From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging. Neuroscience, 164(1), 1-6. https://doi.org/10.1016/j.neuroscience.2009.09.009

Vancouver

Siebner HR, Callicott JH, Sommer T, Mattay VS. From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging. Neuroscience. 2009;164(1):1-6. https://doi.org/10.1016/j.neuroscience.2009.09.009

Author

Siebner, H R ; Callicott, J H ; Sommer, T ; Mattay, V S. / From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging. In: Neuroscience. 2009 ; Vol. 164, No. 1. pp. 1-6.

Bibtex

@article{37ae9260aabe11df928f000ea68e967b,
title = "From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging",
abstract = "In recent years, an array of brain mapping techniques has been successfully employed to link individual differences in circuit function or structure in the living human brain with individual variations in the human genome. Several proof-of-principle studies provided converging evidence that brain imaging can establish important links between genes and behaviour. The overarching goal is to use genetically informed brain imaging to pinpoint neurobiological mechanisms that contribute to behavioural intermediate phenotypes or disease states. This special issue on {"}Linking Genes to Brain Function in Health and Disease{"} provides an overview over how the {"}imaging genetics{"} approach is currently applied in the various fields of systems neuroscience to reveal the genetic underpinnings of complex behaviours and brain diseases. While the rapidly emerging field of imaging genetics holds great promise, the integration of genetic and neuroimaging data also poses major methodological and conceptual challenges. Therefore, this special issue also focuses on how these challenges can be met to fully exploit the synergism of genetically informed brain imaging.",
author = "Siebner, {H R} and Callicott, {J H} and T Sommer and Mattay, {V S}",
note = "Keywords: Animals; Behavior; Brain; Brain Mapping; Environment; Genetic Variation; Humans; Mental Disorders; Phenotype",
year = "2009",
doi = "10.1016/j.neuroscience.2009.09.009",
language = "English",
volume = "164",
pages = "1--6",
journal = "Neuroscience",
issn = "0306-4522",
publisher = "Pergamon Press",
number = "1",

}

RIS

TY - JOUR

T1 - From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging

AU - Siebner, H R

AU - Callicott, J H

AU - Sommer, T

AU - Mattay, V S

N1 - Keywords: Animals; Behavior; Brain; Brain Mapping; Environment; Genetic Variation; Humans; Mental Disorders; Phenotype

PY - 2009

Y1 - 2009

N2 - In recent years, an array of brain mapping techniques has been successfully employed to link individual differences in circuit function or structure in the living human brain with individual variations in the human genome. Several proof-of-principle studies provided converging evidence that brain imaging can establish important links between genes and behaviour. The overarching goal is to use genetically informed brain imaging to pinpoint neurobiological mechanisms that contribute to behavioural intermediate phenotypes or disease states. This special issue on "Linking Genes to Brain Function in Health and Disease" provides an overview over how the "imaging genetics" approach is currently applied in the various fields of systems neuroscience to reveal the genetic underpinnings of complex behaviours and brain diseases. While the rapidly emerging field of imaging genetics holds great promise, the integration of genetic and neuroimaging data also poses major methodological and conceptual challenges. Therefore, this special issue also focuses on how these challenges can be met to fully exploit the synergism of genetically informed brain imaging.

AB - In recent years, an array of brain mapping techniques has been successfully employed to link individual differences in circuit function or structure in the living human brain with individual variations in the human genome. Several proof-of-principle studies provided converging evidence that brain imaging can establish important links between genes and behaviour. The overarching goal is to use genetically informed brain imaging to pinpoint neurobiological mechanisms that contribute to behavioural intermediate phenotypes or disease states. This special issue on "Linking Genes to Brain Function in Health and Disease" provides an overview over how the "imaging genetics" approach is currently applied in the various fields of systems neuroscience to reveal the genetic underpinnings of complex behaviours and brain diseases. While the rapidly emerging field of imaging genetics holds great promise, the integration of genetic and neuroimaging data also poses major methodological and conceptual challenges. Therefore, this special issue also focuses on how these challenges can be met to fully exploit the synergism of genetically informed brain imaging.

U2 - 10.1016/j.neuroscience.2009.09.009

DO - 10.1016/j.neuroscience.2009.09.009

M3 - Journal article

C2 - 19751805

VL - 164

SP - 1

EP - 6

JO - Neuroscience

JF - Neuroscience

SN - 0306-4522

IS - 1

ER -

ID: 21456307