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放射科首都医科大学宣武医院[c]Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, PR China
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.
基金:
Natural Science Foundation of China, Grant Nos. 60675033, 30425004, and 30730035, the National Key Basic Research and Development Program (973),
Grant No. 2004CB318107, and Beijing Scientific and Technological New Star Program Grant No. 2005B21.
语种:
外文
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
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
JCR分区:
出版当年[2006]版:
Q1NEUROSCIENCESQ1NEUROIMAGINGQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1NEUROIMAGINGQ1NEUROSCIENCESQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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
推荐引用方式(GB/T 7714):
Ming Song ,Yuan Zhou ,Jun Li ,et al.Brain spontaneous functional connectivity and intelligence[J].NEUROIMAGE.2008,41(3):1168-1176.doi:10.1016/j.neuroimage.2008.02.036.
APA:
Ming Song,,Yuan Zhou,,Jun Li,,Yong Liu,,Lixia Tian,...&Tianzi Jiang.(2008).Brain spontaneous functional connectivity and intelligence.NEUROIMAGE,41,(3)
MLA:
Ming Song,,et al."Brain spontaneous functional connectivity and intelligence".NEUROIMAGE 41..3(2008):1168-1176