Evidence map›Paper›PMID 19751805›Full record

ArticleNeuroscience2009

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

H R Siebner, J H Callicott, T Sommer, V S Mattay

Abstract read
In one paragraph

Article in Neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The vast potential and bright future of neuroimaging.The British journal of radiology · 2018
    Review
  11. Use of magnetic resonance imaging in pharmacogenomics.British journal of clinical pharmacology · 2014
    Review
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

H R SiebnerDanish Research Centre for Magnetic Resonance, Hvidovre Hospital, Copenhagen University, Denmark. hartwig.siebner@drcmr.dk
J H Callicott
T Sommer
V S Mattay

Funding

MRI Studies of Brain Function and MetabolismZIAMH002716 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2013
$9.8M
Neuroimaging Core FacilityZICMH002905 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2012
$3.8M
Neuroimaging Core FacilityZ01MH002905 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI WEINBERGER, DANIEL · 2007 to 2008
$2.6M
Intramural NIH HHS Z01 MH002905
6 · The paper itself

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.

Indexed as

PhenotypeAnimalsBehaviorBrainBrain MappingEnvironmentGenetic VariationHumansMental Disorders

Identifiers

PMID19751805
PMCPMC3013363

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.