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Brain spontaneous functional connectivity and intelligence

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机构: [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China [b]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, PR China [c]Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, PR China
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关键词: functional MRI (fMRI) intelligence spontaneous brain activity functional connectivity

摘要:
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. (C) 2008 Elsevier Inc. All rights reserved.

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出版当年[2007]版:
大类 | 2 区 医学
最新[2023]版:
大类 | 2 区 医学
小类 | 1 区 神经成像 2 区 神经科学 2 区 核医学
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出版当年[2006]版:
Q1 NEUROSCIENCES Q1 NEUROIMAGING Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1 NEUROIMAGING Q1 NEUROSCIENCES Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2006版] 出版当年五年平均 出版前一年[2005版] 出版后一年[2007版]

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第一作者机构: [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China
通讯作者:
通讯机构: [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China [b]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, PR China
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