Meta-analysis of associations between human brain volume and intelligence differences

How strong are they and what do they mean?

J. Pietschnig, L. Penke, J.M. Wicherts, M. Zeiler, M. Voracek

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Positive associations between human intelligence and brain size have been suspected for more than 150 years. Nowadays, modern non-invasive measures of in vivo brain volume (Magnetic Resonance Imaging) make it possible to reliably assess associations with IQ. By means of a systematic review of published studies and unpublished results obtained by personal communications with researchers, we identified 88 studies examining effect sizes of 148 healthy and clinical mixed-sex samples (>8000 individuals). Our results showed significant positive associations of brain volume and IQ (r = .24, R2 = .06) that generalize over age (children vs. adults), IQ domain (full-scale, performance, and verbal IQ), and sex. Application of a number of methods for detection of publication bias indicates that strong and positive correlation coefficients have been reported frequently in the literature whilst small and non-significant associations appear to have been often omitted from reports. We show that the strength of the positive association of brain volume and IQ has been overestimated in the literature, but remains robust even when accounting for different types of dissemination bias, although reported effects have been declining over time. While it is tempting to interpret this association in the context of human cognitive evolution and species differences in brain size and cognitive ability, we show that it is not warranted to interpret brain size as an isomorphic proxy of human intelligence differences. Keywords: Intelligence, In vivo brain volume, Meta-analysis, Meta-regression, Reporting bias
Original languageEnglish
Pages (from-to)411–432
JournalNeuroscience and Biobehavioral Reviews
Volume57
DOIs
Publication statusPublished - 2015

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title = "Meta-analysis of associations between human brain volume and intelligence differences: How strong are they and what do they mean?",
abstract = "Positive associations between human intelligence and brain size have been suspected for more than 150 years. Nowadays, modern non-invasive measures of in vivo brain volume (Magnetic Resonance Imaging) make it possible to reliably assess associations with IQ. By means of a systematic review of published studies and unpublished results obtained by personal communications with researchers, we identified 88 studies examining effect sizes of 148 healthy and clinical mixed-sex samples (>8000 individuals). Our results showed significant positive associations of brain volume and IQ (r = .24, R2 = .06) that generalize over age (children vs. adults), IQ domain (full-scale, performance, and verbal IQ), and sex. Application of a number of methods for detection of publication bias indicates that strong and positive correlation coefficients have been reported frequently in the literature whilst small and non-significant associations appear to have been often omitted from reports. We show that the strength of the positive association of brain volume and IQ has been overestimated in the literature, but remains robust even when accounting for different types of dissemination bias, although reported effects have been declining over time. While it is tempting to interpret this association in the context of human cognitive evolution and species differences in brain size and cognitive ability, we show that it is not warranted to interpret brain size as an isomorphic proxy of human intelligence differences. Keywords: Intelligence, In vivo brain volume, Meta-analysis, Meta-regression, Reporting bias",
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Meta-analysis of associations between human brain volume and intelligence differences : How strong are they and what do they mean? / Pietschnig, J.; Penke, L.; Wicherts, J.M.; Zeiler, M.; Voracek, M.

In: Neuroscience and Biobehavioral Reviews, Vol. 57, 2015, p. 411–432.

Research output: Contribution to journalArticleScientificpeer-review

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