Evidence map›Paper›PMID 20554870›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010

A multimodal assessment of the genetic control over working memory.

Katherine H Karlsgodt, Peter Kochunov, Anderson M Winkler, Angela R Laird, Laura Almasy, Ravindranath Duggirala, Rene L Olvera, Peter T Fox, John Blangero, David C Glahn

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Diffusion-weighted imaging uncovers likely sources of processing-speed deficits in schizophrenia.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  15. Article
  16. Article
  17. Genetics and brain morphology.Neuropsychology review · 2015
    Article
  18. Review
  19. Article
  20. Genome-Wide Analyses of Working-Memory Ability: A Review.Current behavioral neuroscience reports · 2014
    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

10 authors.

Katherine H KarlsgodtDepartment of Psychiatry, Cognitive Neuroscience Center, University of California Los Angeles, Los Angeles, California 90095, USA.
Peter Kochunov
Anderson M Winkler
Angela R Laird
Laura Almasy
Ravindranath Duggirala
Rene L Olvera
Peter T Fox
John Blangero
David C Glahn

Funding

Meta-anaylsis in human brain mappingR01MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2006 to 2024
$10.5M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
COMBINING NEUROIMAGING AND GENETICS FOR HERITABILITY MEASUREMENTSK01EB006395 · NIBIB · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KOCHUNOV, PETER V. · 2007 to 2011
$733k
Meta-analysis in human brain mappingR56MH074457 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FOX, PETER THORNTON · 2020 to 2020
$543k
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NIBIB NIH HHS EB006395NIBIB NIH HHS K01 EB006395NIMH NIH HHS MH0708143NIMH NIH HHS MH074457NIMH NIH HHS MH078111NIMH NIH HHS MH083824NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH074457NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R37 MH059490NIMH NIH HHS R56 MH074457
6 · The paper itself

Abstract

Working memory performance is significantly influenced by genetic factors. Here, we assessed genetic contributions to both working memory performance and neuroimaging measures focused on the network of brain regions associated with working memory by using a sample of 467 human participants from extended families. Imaging measures included diffusion tensor imaging indices in major white matter tracts thought to be associated with working memory and structural magnetic resonance imaging measures of frontal and parietal gray matter density. Analyses directly addressed whether working memory performance and neural structural integrity are influenced by common genetic factors (e.g., pleiotropy). While all cognitive measures, gray matter regions, and white matter tracts assessed were heritable, only performance on a spatial delayed response task and integrity of the superior longitudinal fasciculus (a primary fronto-parietal connection) shared genetic factors. As working memory may be a core component of other higher level processes, such as general intelligence, this finding has implications for the heritability of complex cognitive functions, as well as for our understanding of the transmission of cognitive deficits in mental and neurological disorders.

Indexed as

Brain MappingAdultAgedAged, 80 and overAnisotropyBrainDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMemory, Short-TermMexican AmericansMiddle AgedNerve Fibers, MyelinatedOxygen

Identifiers

PMID20554870
PMCPMC2894480

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.