Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults

Gong, Qiyong; Sluming, Vanessa; Mayes, Andrew R.; Keller, Simon S.; Barrick, Thomas R.; Cezayirli, Enis; Roberts, Neil

doi:10.1016/j.neuroimage.2004.12.044

Cited by 112 publications

(99 citation statements)

References 43 publications

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“…This finding is consistent with previous research demonstrating the role of this network in supporting g (Gray et al, 2003;Lee et al, 2006). In contrast, neuroanatomical work has not reached a consensus about the substrate of g (Frangou et al, 2004;Gong et al, 2005), and it is notable that few anatomical studies have strongly implicated specific areas in g (Jung and Haier, 2007). A first possible reason is that the structural correlates of intelligence change with age (Shaw et al, 2006).…”

Section: Discussionsupporting

confidence: 90%

“…Cortical gray matter thickness covaried more strongly with gC, whereas functional activity during a fluid reasoning task covaried more strongly with gF. By combining two brain imaging modalities into a single study, our finding builds on previous work showing neural correlates of intelligence in a single modality (Duncan et al, 2000;Frangou et al, 2004;Gong et al, 2005;Gray et al, 2003;Haier et al, 2004;Lee et al, 2006). It is also the first demonstration of a prediction of intelligence from brain structure and function alone (cf.…”

Section: Discussionsupporting

confidence: 78%

“…Thus, an additional goal was to probe the robustness of our findings by generating and validating a neurometric intelligence quotient (IQ) model of g, i.e., to predict g prospectively from brain structure and function. By investigating neural correlates of intelligence at both the structural and functional level, our work goes beyond extant neuroimaging studies of human intelligence, which have sought to correlate g, gC, or gF with either structural (Gong et al, 2005;Shaw et al, 2006) or functional (Gray et al, 2003;Lee et al, 2006) measures, but not both.…”

Section: Introductionmentioning

confidence: 99%

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Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation

Choi¹,

Shamosh²,

Cho³

et al. 2008

J. Neurosci.

199

162

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We hypothesized that individual differences in intelligence (Spearman's g) are supported by multiple brain regions, and in particular that fluid ( gF) and crystallized ( gC) components of intelligence are related to brain function and structure with a distinct profile of association across brain regions. In 225 healthy young adults scanned with structural and functional magnetic resonance imaging sequences, regions of interest (ROIs) were defined on the basis of a correlation between g and either brain structure or brain function. In these ROIs, gC was more strongly related to structure (cortical thickness) than function, whereas gF was more strongly related to function (blood oxygenation level-dependent signal during reasoning) than structure. We further validated this finding by generating a neurometric prediction model of intelligence quotient (IQ) that explained 50% of variance in IQ in an independent sample. The data compel a nuanced view of the neurobiology of intelligence, providing the most persuasive evidence to date for theories emphasizing multiple distributed brain regions differing in function.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation

Choi¹,

Shamosh²,

Cho³

et al. 2008

J. Neurosci.

199

162

View full text Add to dashboard Cite

show abstract

“…An alternative technique, namely point counting, has been widely applied in combination with the Cavalieri method to estimate the volume of internal brain compartments, such as hippocampus, amygdala, ventricle, Broca's area, white and grey matter, etc. (e.g., Doherty et al, 2000;Keller et al, 2002;García-Fiñana et al, 2003;Gong et al, 2005;Salmenperä et al, 2005;Schmitz and Hoff, 2005, and references therein). In these studies, a set of parallel and equidistant MR images with a uniform random position are selected, and the area is estimated for each section by randomly superimposing a grid of systematic points and counting the number of points which fall inside the region of interest (see for example, Gundersen and Jensen, 1987).…”

Section: Introductionmentioning

confidence: 99%

Sampling Intensity With Fixed Precision When Estimating Volume of Human Brain Compartments

Maudsley¹,

Garcı́a-Fiñana²

2011

Image Anal Stereol

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Cavalieri sampling and point counting are frequently applied in combination with magnetic resonance (MR) imaging to estimate the volume of human brain compartments. Current practice involves arbitrarily choosing the number of sections and sampling intensity within each section, and subsequently applying error prediction formulae to estimate the precision. The aim of this study is to derive a reference table for researchers who are interested in estimating the volume of brain regions, namely grey matter, white matter, and their union, to a given precision. In particular, this table, which is based on subsampling of a large brain data set obtained from coronal MR images, offers a recommendation for the minimum number of sections and mean number of points per section that are required to achieve a pre-defined coefficient of error of the volume estimator. Further analysis on MR brain data from a second human brain shows that the sampling intensity recommended is appropriate.

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“…Schretlen, Pearlson, Anthony, Aylward, Augustine, Davis, & Barta, 2000. Οι μετωπιαίοι λοβοί, οι οποίοι έχει βρεθεί ότι σχετίζονται με τη ρέουσα νοημοσύνη και ενεργοποιούνται σε έργα που την μετρούν (Bishop et al, 2008. Gong, Sluming, Mayes, Keller, Barrick, Cezayirli, & Roberts, 2005.…”

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Διαφορές Και Ομοιότητες Στη Νοημοσύνη Ηλικιωμένων Κατοίκων Αστικών Και Αγροτικών Περιοχών Της Ελλάδας

Κουτσονίδα

Νταφούλης

Παπαντωνίου

et al. 2016

JRET

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<p>Η παρούσα έρευνα αποσκοπούσε να εξετάσει διαφορές και ομοιότητες στη ρέουσα και αποκρυσταλλωμένη νοημοσύνη ηλικιωμένων που κατοικούν σε αστικές και αγροτικές περιοχές. Το δείγμα αποτελούνταν από 80 άτομα ηλικίας 65-91 ετών τα οποία χωρίστηκαν σε δύο ομάδες, 40 άτομα από αστικές περιοχές και 40 από αγροτικές. Ως έργα που μετρούν ρέουσα νοημοσύνη, χορηγήθηκαν η φωνολογική συνθήκη της Δοκιμασίας Λεκτικής Ευχέρειας και η Δοκιμασία Ευχέρειας Σχεδιασμού της συστοιχίας Delis-Kaplan Executive Function System. Ως έργα αποκρυσταλλωμένης νοημοσύνης, χορηγήθηκε η σημασιολογική συνθήκη της Δοκιμασίας Λεκτικής Ευχέρειας της D-KEFS και το Ερωτηματολόγιο Σοφού Τρόπου Σκέψης και Δράσης. Τα αποτελέσματα έδειξαν ότι οι ηλικιωμένοι που κατοικούν σε αγροτικές περιοχές είχαν υψηλότερη επίδοση στη σοφία ως διαλεκτική σκέψη και εκτίμηση της αβεβαιότητας της ζωής, σε σύγκριση με τους ηλικιωμένους που διαβιούν σε πόλη. Το ίδιο βρέθηκε και ως προς την επίδοσή τους στη σημασιολογική συνθήκη της Δοκιμασίας Λεκτικής Ευχέρειας, η οποία μετρά τις εκτελεστικές λειτουργίες της έναρξης διαδικασίας και της αναστολής αλλά απαιτεί και σημασιολογική γνώση και μνήμη. </p>

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Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults

Cited by 112 publications

References 43 publications

Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation

Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation

Sampling Intensity With Fixed Precision When Estimating Volume of Human Brain Compartments

Διαφορές Και Ομοιότητες Στη Νοημοσύνη Ηλικιωμένων Κατοίκων Αστικών Και Αγροτικών Περιοχών Της Ελλάδας

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