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Brain spontaneous functional connectivity and intelligence.

机译:大脑自发的功能连接和智能。

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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.
机译:已经进行了许多功能成像研究,通过检测由与智力有关的任务(例如推理或工作记忆)引起的大脑活动变化来探索智力的神经基础。但是,人们对静止的自发性大脑活动是否与智力差异有关知之甚少。在这里,对59名健康成人受试者(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。我们以双边背外侧前额叶皮层(DLPFC)作为种子区域,并研究了个体智力评分与种子区域与其他大脑区域之间的功能连接性(FC)强度之间的跨学科相关性。我们发现,FC的强度与智力得分显着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显示,额叶内以及额叶和额叶后脑区之间的功能区均是智力差异的重要预测因素。如先前的研究所建议的那样,这些发现支持了网络的智力观。更重要的是,我们的发现表明,即使在静止状态和没有明确的认知需求的情况下,大脑活动也可能与智力差异有关。这可以为理解智力的神经基础提供新的视角。

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