2019
DOI: 10.31234/osf.io/n2yg7
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It’s About Time: Towards a Longitudinal Cognitive Neuroscience of Intelligence

Abstract: In this chapter we provide an overview of empirical work on the longitudinal cognitive neuroscience of intelligence from childhood to early adulthood.

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Cited by 6 publications
(8 citation statements)
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“…We used these region-based measures to study brain structural covariance ( Alexander-Bloch et al 2013 ), which have been used in cross-sectional and longitudinal designs of cognitive ability in childhood and adolescence (e.g., Solé-Casals et al 2019 ; see Kievit and Simpson-Kent 2021 for a recent review of longitudinal studies). Emerging theoretical proposals emphasize the role of networks of brain areas in producing intelligent behavior (e.g., Parieto-Frontal Integration Theory (P-FIT), Jung and Haier ( 2007 ) and The Network Neuroscience Theory of Human Intelligence, Barbey 2018 ) rather than individual regions-of-interest (ROIs) in isolation (e.g., primarily the prefrontal cortex).…”
Section: Methodsmentioning
confidence: 99%
“…We used these region-based measures to study brain structural covariance ( Alexander-Bloch et al 2013 ), which have been used in cross-sectional and longitudinal designs of cognitive ability in childhood and adolescence (e.g., Solé-Casals et al 2019 ; see Kievit and Simpson-Kent 2021 for a recent review of longitudinal studies). Emerging theoretical proposals emphasize the role of networks of brain areas in producing intelligent behavior (e.g., Parieto-Frontal Integration Theory (P-FIT), Jung and Haier ( 2007 ) and The Network Neuroscience Theory of Human Intelligence, Barbey 2018 ) rather than individual regions-of-interest (ROIs) in isolation (e.g., primarily the prefrontal cortex).…”
Section: Methodsmentioning
confidence: 99%
“…Even if we had found strong associations between our neuropsychological and brain structural measures, conclusions about the temporal dynamics of these changes would be difficult and concomitant cognitive and brain structural changes might be influenced by a third variable, e.g. a certain pattern of gene expression ( Kievit et al, 2019 ). Needless to say, white matter microstructural changes may be associated more strongly with neuropsychological development in patients with psychiatric or neurological disorders.…”
Section: Discussionmentioning
confidence: 92%
“…A small number of longitudinal studies have examined associations between white matter microstructural maturation and the development of intelligence (for a review, see Kievit et al, 2019 ), reading ( Yeatman et al, 2012 ; Wang et al, 2016 ), or visuo-spatial working-memory ( Krogsrud et al, 2018 ). In a delay of gratification task, impulse control improved faster in 8–26 year-old individuals with higher fronto-striatal FA ( Achterberg et al, 2016 ).…”
Section: Introductionmentioning
confidence: 99%
“…We used these region based measures to study brain structural covariance (Alexander-Bloch, Giedd, and Bullmore 2013), which have been used in cross-sectional and longitudinal designs of cognitive ability in childhood and adolescence (e.g., Solé-Casals et al 2019; see Kievit and Simpson-Kent 2021 for a recent review of longitudinal studies). Emerging theoretical proposals emphasize the role of networks of brain areas in producing intelligent behavior (e.g., Parieto-Frontal Integration Theory (P-FIT), Jung and Haier 2007 and The Network Neuroscience Theory of Human Intelligence, Barbey 2018) rather than individual regions-of-interest (ROIs) in isolation (e.g., primarily the prefrontal cortex).…”
Section: Methodsmentioning
confidence: 99%
“…We used these region based measures to study brain structural covariance (Alexander-Bloch et al, 2013), which have been used in cross-sectional and longitudinal designs of cognitive ability in childhood and adolescence (e.g. Solé-Casals et al, 2019; see Kievit & Simpson-Kent, 2019 for a review of longitudinal studies). Emerging theoretical proposals emphasize the role of networks of brain areas in producing intelligent behavior (e.g.…”
Section: Methodsmentioning
confidence: 99%