Brain spontaneous functional connectivity and intelligence

Brain spontaneous functional connectivity and intelligence
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大脑自发功能连接和智力

DOI:
10.1016/j.neuroimage.2008.02.036
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发表时间:
2008-07-01
期刊:
影响因子:
5.7
通讯作者:
Jiang, Tianzi
Jiang, Tianzi
中科院分区:
医学1区
文献类型:
--
作者:
Song, Ming;Zhou, Yuan;Jiang, Tianzi

文献摘要

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许多功能成像研究通过检测由与智力相关的任务(如推理或工作记忆)所引起的大脑活动变化,来探索智力的神经基础。然而,对于静息状态下的自发大脑活动是否与智力差异相关,人们知之甚少。在此,对59名健康成年受试者(韦氏成人智力量表得分,90 - 138)进行了静息态功能磁共振成像研究。我们将双侧背外侧前额叶皮质(DLPFC)作为种子区域,并研究了个体智力得分与种子区域和其他大脑区域之间功能连接(FC)强度在受试者之间的相关性。我们发现,功能连接强度与智力得分显著相关的大脑区域分布在额叶、顶叶、枕叶和边缘叶。逐步线性回归分析还表明,额叶内以及额叶和后脑区域之间的功能连接都是智力差异的重要预测因素。这些发现支持了先前研究中提出的智力的网络观点。更重要的是,我们的研究结果表明,即使在静息状态且没有明确的认知需求时,大脑活动也可能与智力差异相关。这可能为理解智力的神经基础提供一个新的视角。(C)2008爱思唯尔公司。保留所有权利。
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.