The neuroscience of human intelligence differences
By Ian J. Deary, L. Penke, Wendy Johnson. Nature Reviews Neuroscience, 2010
1,033 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5c485d798c1e79e74ce418f07cc456f748d2ca85
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Richard J. Haier
- Robert Plomin
- Ralph Adolphs
- Christian J. Fiebach
- Ulrike Basten
- Kirsten Hilger
- N. Boogert
- Ian J. Deary
In Genetics
- Richard J. Haier
- Robert Plomin
- Ian J. Deary
- S. Nowicki
- Chandra Sekhar Sripada
- Ralph Adolphs
- N. Boogert
In Molecular Biology
- Robert Plomin
- Ian J. Deary
- Petra E. Vértes
- Richard J. Haier
- R. J. Dolan
- Danai Koutra
- E. Bullmore
- Ralph Adolphs
Citations in the corpus
- Genetics and Intelligence Differences: Five Special Findings (2014, positive): “…affects many traits) and polygenicity (many genes affect each trait) lead us to predict that generalist genes have their effects further upstream, creating genetic correlations among brain structures and functions, a prediction that supports a network view of brain structure and function 26, 68 .”
- Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation (2017, positive): “…support our fourth hypothesis and they provide some of the strongest evidence yet available in support of the more general hypothesis that topologically integrative features of the human brain connectome are important for “higher order” cognitive functions (Deary et al., 2010; Saggar et al., 2015).”
- The Neuroscience of Intelligence (2016, background): “As far as test scores being without real meaning, there is extensive evidence, as noted in Chapter 1, that scores predict many aspects of life (Deary et al., 2010; Gottfredson, 1997b).”
- Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence (2015, background): “, Gray, Chabris, & Braver, 2003; Haier, Jung, Yeo, Head, & Alkire, 2004), a broad consensus arose that intelligence is linked to characteristics of our neural system in a circumscribed set of brain regions, mainly located in frontal and parietal cortices (Deary et al., 2010; Duncan, 2010; Gray & Tho”
- Performance in cognitive and problem-solving tasks in male spotted bowerbirds does not correlate with mating success (2013, neutral): “Positive covariance between cognitive abilities has been demonstrated in humans, in which this general ability (referred to as g) is described as being both heritable and an honest indicator of fitness (Jensen 1998; Miller 2000; Plomin & Spinath 2002; Deary et al. 2010).”
- GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data (2019, methodology): “functionally encoded in the brain [9, 13, 24, 38].”
- A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, background): “Differential psychology -- the psychological discipline that studies individual differences between people -- has three main aims: to describe the trait of interest accurately, to establish its impact in real life, and to understand its aetiology, including its biological basis [32].”
- Song repertoire size in male song sparrows correlates with detour reaching, but not with other cognitive measures (2011, background): “The most convincing evidence for such covariation comes from humans (Plomin 2001; Deary et al. 2010), although evidence for g in mice, Mus musculus, is accumulating (reviewed in Matzel & Kolata 2010; but see Locurto et al. 2003).”