Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence

Basten, Ulrike; Hilger, Kirsten; Fiebach, Christian J.

doi:10.1016/j.intell.2015.04.009

Cited by 259 publications

(265 citation statements)

References 145 publications

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“…Recent studies have reported that general intelligence is associated with the level of white mater tract integrity measured by FA (Penke et al, 2012a; Penke et al, 2012b), regional cortical thickness (Karama et al, 2009; Karama et al, 2011), and functional activations during a cognitive task (Basten et al, 2015) across widespread brain regions including subcortical structures. Our network findings are consistent with these previous studies in that the network associations with intelligence were found in the distributed local brain regions (Fig.…”

Section: Discussionmentioning

confidence: 99%

Children's intellectual ability is associated with structural network integrity

et al. 2016

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Recent structural and functional neuroimaging studies of adults suggest that efficient patterns of brain connectivity are fundamental to human intelligence. Specifically, whole brain networks with an efficient small-world organization, along with specific brain regions (i.e., Parieto-Frontal Integration Theory, P-FIT) appear related to intellectual ability. However, these relationships have not been studied in children using structural network measures. This cross-sectional study examined the relation between non-verbal intellectual ability and structural network organization in 99 typically developing healthy preadolescent children. We showed a strong positive association between the network’s global efficiency and intelligence, in which a subtest for visuo-spatial motor processing (Block Design, BD) was prominent in both global brain structure and local regions included within P-FIT as well as temporal regions involved with pattern and form processing. BD was also associated with rich club organization, which encompassed frontal, occipital, temporal, hippocampal, and neostriatal regions. This suggests that children’s visual construction ability is significantly related to how efficiently children’s brains are globally and locally integrated. Our findings indicate that visual construction and reasoning may make general demands on globally integrated processing by the brain.

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Section: Discussionmentioning

confidence: 99%

Children's intellectual ability is associated with structural network integrity

et al. 2016

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“…Currently, the majority of the research on the neurocognitive processes of high-level cognition, such as creativity and intelligence, is conducted via functional MRI (both rest and task related; Basten, Hilger, & Fiebach, 2015; Beaty et al, 2016; Deary, Penke, & Johnson, 2010). Functional MRI is well suited in examining state level variability across participants, given that rest and task functional activity related patterns fluctuate in ways that predict similarly fluctuating cognitive measures.…”

Section: Introductionmentioning

confidence: 99%

Driving the brain towards creativity and intelligence: A network control theory analysis

et al. 2018

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High-level cognitive constructs, such as creativity and intelligence, entail complex and multiple processes, including cognitive control processes. Recent neurocognitive research on these constructs highlight the importance of dynamic interaction across neural network systems and the role of cognitive control processes in guiding such a dynamic interaction. How can we quantitatively examine the extent and ways in which cognitive control contributes to creativity anf intelligence? To address this question, we apply a computational network control theory (NCT) approach to structural brain imaging data acquired via diffusion tensor imaging in a large sample of participants, to examine how NCT relates to individual differences in distinct measures of creative ability and intelligence. Recent application of this theory at the neural level is built on a model of brain dynamics, which mathematically models patterns of inter-region activity propagated along the structure of an underlying network. The strength of this approach is its ability to characterize the potential role of each brain region in regulating whole-brain network function based on its anatomical fingerprint and a simplified model of node dynamics. We find that intelligence is related to the ability to “drive” the brain system into easy to reach neural states by the right inferior parietal lobe and lower integration abilities in the left retrosplenial cortex. We also find that creativity is related to the ability to “drive” the brain system into difficult to reach states by the right dorsolateral prefrontal cortex (inferior frontal junction) and higher integration abilities in sensorimotor areas. Furthermore, we found that different facets of creativity—fluency, flexibility, and originality—relate to generally similar but not identical network controllability processes. We relate our findings to general theories on intelligence and creativity.

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“…For example, Haier et al (2009) found that there was limited overlap between the neural correlates of different test batteries. Likewise, in a meta-analysis of studies relating neuroimaging and intelligence, Basten et al (2015) report that functional and structural results did not show any overlap. Colom (2014b) describes numerous inconsistencies in a review of neuroimaging studies.…”

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confidence: 97%

How neuroscience can inform the study of individual differences in cognitive abilities

McFarland

2017

Reviews in the Neurosciences

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AbstractTheories of human mental abilities should be consistent with what is known in neuroscience. Currently, tests of human mental abilities are modeled by cognitive constructs such as attention, working memory, and speed of information processing. These constructs are in turn related to a single general ability. However, brains are very complex systems and whether most of the variability between the operations of different brains can be ascribed to a single factor is questionable. Research in neuroscience suggests that psychological processes such as perception, attention, decision, and executive control are emergent properties of interacting distributed networks. The modules that make up these networks use similar computational processes that involve multiple forms of neural plasticity, each having different time constants. Accordingly, these networks might best be characterized in terms of the information they process rather than in terms of abstract psychological processes such as working memory and executive control.

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Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence

Cited by 259 publications

References 145 publications

Children's intellectual ability is associated with structural network integrity

Children's intellectual ability is associated with structural network integrity

Driving the brain towards creativity and intelligence: A network control theory analysis

How neuroscience can inform the study of individual differences in cognitive abilities

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