The neuroanatomy of general intelligence: sex matters
By Richard J. Haier, Rex E. Jung, Ronald A. Yeo, Kevin Head, Michael T. Alkire. NeuroImage, 2005
386 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Genetics
View Paper: https://www.semanticscholar.org/paper/a7d9fa7f324a60d833536e7947b95384b2069781
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Vince D. Calhoun
- Richard J. Haier
- Elena A. Allen
- Bharat B. Biswal
- Erik B. Erhardt
- Godfrey D. Pearlson
- Tom Eichele
- Susan L. Whitfield-Gabrieli
In Experimental and Cognitive Psychology
- Richard J. Haier
- Bharat B. Biswal
- Rex E. Jung
- Kevin Head
- Susan L. Whitfield-Gabrieli
- Mark D'Esposito
- M. Quiroga
- John D. E. Gabrieli
In Genetics
Citations in the corpus
- Intelligence and neural efficiency. (2009, neutral): “…in intelligence has identified several structural parameters of the human brain (e.g., brain size, proportion of gray matter, cortical thickness, etc.) that can be seen in close relation to intelligence (Gray and Thompson, 2004; Haier et al., 2005; Jung and Haier, 2007; Shaw et al., 2006).”
- Women in the boardroom and their impact on climate change related disclosure (2017, background): “Haier et al. (2005) study finds that on neuroanatomical basis, the general level of intelligence is the same in men and women.”
- Cognitive processing speed and the structure of white matter pathways: Convergent evidence from normal variation and lesion studies (2008, positive): “Another study reported an association between simple reaction time and white matter density in right fusiform gyrus using T1-weighted structural images (Haier et al., 2005b).”
- A Baseline for the Multivariate Comparison of Resting-State Networks (2011, background): “Despite relatively small effects, we note that the inclusion of gender and appropriate interaction terms in regression models may be critical for discovering and interpreting the effects of other covariates, particularly when investigating complex phenotypes such as general intelligence (Haier et al”
- Neural correlates of cognitive efficiency (2006, background): “Anatomical studies have shown individual differences in both white and gray matter that could mediate interactive activation changes between brain regions and subjects' processing speed performance (e.g., Haier et al., 2004, 2005).”
- The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence (2007, methodology): “…and 40 (parietal); specifically, the tissue density and white matter integrity within these regions correlate substantially to performance on the Wechsler Intelligence Scales both in young cohorts (Schmithorst et al. 2005) and within adult samples ranging in age from 18 to 84 (Haier et al. 2004).”
- The Neuroscience of Intelligence (2016, background): “This area was pretty much the same parietal area where the men showed correlations with IQ and the women didn’t (Haier et al., 2005).”
- Gray matter correlates of fluid, crystallized, and spatial intelligence: Testing the P-FIT model (2009, background): “Haier and colleagues have shown that variation in structures throughout the brain wasrelatedtointelligence(Colom,Jung,H Johnson, Jung, Colom, & Haier, 2008; Haier, Jung, Yeo, Head, & Alkire, 2004, 2005 ) finding that (1) there are significant associations between brain variations in gray matter (GM”