Literature DB >> 18434203

Brain spontaneous functional connectivity and intelligence.

Ming Song1, Yuan Zhou, Jun Li, Yong Liu, Lixia Tian, Chunshui Yu, Tianzi Jiang.   

Abstract

Many functional imaging studies have been performed to explore the neural basis of intelligence by detecting brain activity changes induced by intelligence-related tasks, such as reasoning or working memory. However, little is known about whether the spontaneous brain activity at rest is relevant to the differences in intelligence. Here, 59 healthy adult subjects (Wechsler Adult Intelligence Scale score, 90-138) were studied with resting state fMRI. We took the bilateral dorsolateral prefrontal cortices (DLPFC) as the seed regions and investigated the correlations across subjects between individual intelligence scores and the strength of the functional connectivity (FC) between the seed regions and other brain regions. We found that the brain regions in which the strength of the FC significantly correlated with intelligence scores were distributed in the frontal, parietal, occipital and limbic lobes. Stepwise linear regression analysis also revealed that the FCs within the frontal lobe and between the frontal and posterior brain regions were both important predictive factors for the differences in intelligence. These findings support a network view of intelligence, as suggested in previous studies. More importantly, our findings suggest that brain activity may be relevant to the differences in intelligence even in the resting state and in the absence of an explicit cognitive demand. This could provide a new perspective for understanding the neural basis of intelligence.

Mesh:

Year:  2008        PMID: 18434203     DOI: 10.1016/j.neuroimage.2008.02.036

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  112 in total

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7.  Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.

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Journal:  Hum Brain Mapp       Date:  2017-04-12       Impact factor: 5.038

9.  Connectivity patterns in cognitive control networks predict naturalistic multitasking ability.

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10.  Association between resting-state coactivation in the parieto-frontal network and intelligence during late childhood and adolescence.

Authors:  C Li; L Tian
Journal:  AJNR Am J Neuroradiol       Date:  2014-02-20       Impact factor: 3.825

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