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Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.
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In: Nature genetics, vol 50, iss 7 (2018)
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Multi-Trait Analysis of GWAS and Biological Insights Into Cognition: A Response to Hill (2018).
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In: Twin research and human genetics : the official journal of the International Society for Twin Studies, vol 21, iss 5 (2018)
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Decoding the Large-Scale Structure of Brain Function by Classifying Mental States Across Individuals
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Abstract:
Brain-imaging research has largely focused on localizing patterns of activity related to specific mental processes, but recent work has shown that mental states can be identified from neuroimaging data using statistical classifiers. We investigated whether this approach could be extended to predict the mental state of an individual using a statistical classifier trained on other individuals, and whether the information gained in doing so could provide new insights into how mental processes are organized in the brain. Using a variety of classifier techniques, we achieved cross-validated classification accuracy of 80% across individuals (chance = 13%). Using a neural network classifier, we recovered a low-dimensional representation common to all the cognitive-perceptual tasks in our data set, and we used an ontology of cognitive processes to determine the cognitive concepts most related to each dimension. These results revealed a small organized set of large-scale networks that map cognitive processes across a highly diverse set of mental tasks, suggesting a novel way to characterize the neural basis of cognition.
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URL: http://www.ncbi.nlm.nih.gov/pubmed/19883493 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935493 https://doi.org/10.1111/j.1467-9280.2009.02460.x
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Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI
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