Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence

By Michael A. McDaniel. 2005

492 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/8787a508ae5f79754fe4711b46b568c830783734

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

In Health, Toxicology and Mutagenesis

Citations in the corpus

Efficient Learning for the Poor: Insights from the Frontier of Cognitive Neuroscience (2006, background): “Brain volume is positively correlated with intelligence (McDaniel 2005).”
Multiple Intelligences, the Mozart Effect, and Emotional Intelligence: A Critical Review (2006, background): “The findings for a significant positive correlation between intelligence and the size of the human brain (McDaniel, 2005; Toga & Thompson, 2005) and the level of brain activity (Geake & Hansen, 2005) argue against Gardner’s (1999) criticism that g is merely the abstraction of a statistical factor (p”
The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence (2007, background): “Indeed, a recent meta-analysis of some 37 neuroimaging studies (McDaniel 2005) demonstrates a small, yet consistent relationship between whole brain volume and psychometric measures of intelligence (r 1⁄4 .”
Genetic foundations of human intelligence (2009, unknown): “Intelligence test scores correlate moderately with tests of speed of more fundamental information processing (Deary 2000)—such as reaction times—and they correlate modestly with overall brain size (McDaniel 2005).”
Impact of inoculation with Azospirillum spp. on growth properties and seed yield of wheat: a meta-analysis of studies in the ISI Web of Science from 1981 to 2008 (2010, methodology): “McDaniel 2005 ). Linear interpolation was used in this study to correct fertilized with N field trials for the expected values in the absence of fertilization.”
The genetic architecture of the human cerebral cortex (2020, background): “Taken together, these findings suggest that the previously reported phenotypic relationships between cortical SA and general cognitive function (60, 61) may partly reflect underlying causal processes.”
Testing Predictions From Personality Neuroscience: Brain Structure and the Big Five (2010, background): “Nonetheless, more intelligent children also show more cortical thickening prior to the period of thinning, and intelligence in both children and adults correlates positively with brain volume (McDaniel, 2005).”
Brain volume and intelligence: The moderating role of intelligence measurement quality (2017, methodology): “It should be noted, however, that both Gignac et al. (2003) and McDaniel (2005) restricted their meta-analyses to healthy samples, whereas Pietschnig et al.'s headline correlation of .24 included both healthy and clinically mixed samples.”
The Neuroscience of Intelligence (2016, background): “33 overall (McDaniel, 2005), including adults and children.”
The Cognitive Differentiation-Integration Effort Hypothesis: A Synthesis between the Fitness Indicator and Life History Models of Human Intelligence (2011, background): “Brain size is by no means a perfect correlate of g within human populations (the population correlation is .33 [McDaniel, 2005]), which suggests that measurement error might to some extent account for it’s apparent association with life history (Sefcek & Figueredo, 2010).”
Intelligence: new findings and theoretical developments. (2012, unknown): “33 (McDaniel, 2005).”
A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, unknown): “51 [45], and were revised down multiple times [46].”