Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Toward Robust Functional Neuroimaging Genetics of Cognition
Stockholm University, Faculty of Humanities, Department of Linguistics. Stockholm University, Faculty of Social Sciences, Department of Psychology. Max Planck Institute for Psycholinguistics, the Netherlands; Radboud University, the Netherlands.
Stockholm University, Faculty of Social Sciences, Department of Psychology.
Show others and affiliations
Number of Authors: 92019 (English)In: Journal of Neuroscience, ISSN 0270-6474, E-ISSN 1529-2401, Vol. 39, no 44, p. 8778-8787Article in journal (Refereed) Published
Abstract [en]

A commonly held assumption in cognitive neuroscience is that, because measures of human brain function are closer to underlying biology than distal indices of behavior/cognition, they hold more promise for uncovering genetic pathways. Supporting this view is an influential fMRI-based study of sentence reading/listening by Pinel et al. (2012), who reported that common DNA variants in specific candidate genes were associated with altered neural activation in language-related regions of healthy individuals that carried them. In particular, different single-nucleotide polymorphisms (SNPs) of FOXP2 correlated with variation in task-based activation in left inferior frontal and precentral gyri, whereas a SNP at the KIAA0319/TTRAP/THEM2 locus was associated with variable functional asymmetry of the superior temporal sulcus. Here, we directly test each claim using a closely matched neuroimaging genetics approach in independent cohorts comprising 427 participants, four times larger than the original study of 94 participants. Despite demonstrating power to detect associations with substantially smaller effect sizes than those of the original report, we do not replicate any of the reported associations. Moreover, formal Bayesian analyses reveal substantial to strong evidence in support of the null hypothesis (no effect). We highlight key aspects of the original investigation, common to functional neuroimaging genetics studies, which could have yielded elevated false-positive rates. Genetic accounts of individual differences in cognitive functional neuroimaging are likely to be as complex as behavioral/ cognitive tests, involving many common genetic variants, each of tiny effect. Reliable identification of true biological signals requires large sample sizes, power calculations, and validation in independent cohorts with equivalent paradigms.

Place, publisher, year, edition, pages
2019. Vol. 39, no 44, p. 8778-8787
Keywords [en]
fMRI, FOXP2, individual differences, KIAA0319/TTRAP/THEM2, language, neuroimaging genetics
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:su:diva-176732DOI: 10.1523/JNEUROSCI.0888-19.2019ISI: 000493787000013PubMedID: 31570534OAI: oai:DiVA.org:su-176732DiVA, id: diva2:1377139
Available from: 2019-12-11 Created: 2019-12-11 Last updated: 2019-12-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Uddén, JuliaBendtz, Katarina
By organisation
Department of LinguisticsDepartment of Psychology
In the same journal
Journal of Neuroscience
Neurosciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf