Individual variability in functional connectivity architecture of the human brain.

Individual variability in functional connectivity architecture of the human brain.
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DOI:
10.1016/j.neuron.2012.12.028
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发表时间:
2013-02-06
期刊:
影响因子:
16.2
通讯作者:
Liu H
Liu H
中科院分区:
医学1区
文献类型:
--
作者:
Mueller S;Wang D;Fox MD;Yeo BT;Sepulcre J;Sabuncu MR;Shafee R;Lu J;Liu H

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人们的想法或行为彼此不同,这一事实植根于大脑解剖和连接性的个体差异。在这里,我们使用重复测量静息态功能磁共振成像,以探讨受试者之间的变异性连接。功能连接的个体差异在整个皮层中是异质的,异模态关联皮层的变异性显著较高,而单峰皮层的变异性较低。受试者之间的连接变异与进化皮层扩张的程度显着相关,这表明功能变异的潜在进化根源。连接的变异性也与脑沟深度的变异性有关,但与皮质厚度无关,与长程连接的程度呈正相关,但与局部连接呈负相关。一项荟萃分析进一步揭示,预测认知领域个体差异的区域主要位于高连通性变异区域。我们的发现对于理解大脑的进化和发育、指导干预以及解释神经成像中的统计图具有潜在的意义。
The fact that people think or behave differently from one another is rooted in individual differences in brain anatomy and connectivity. Here we used repeated-measurement resting-state functional MRI to explore inter-subject variability in connectivity. Individual differences in functional connectivity were heterogeneous across the cortex, with significantly higher variability in heteromodal association cortex and lower variability in unimodal cortices. Inter-subject variability in connectivity was significantly correlated with the degree of evolutionary cortical expansion, suggesting a potential evolutionary root of functional variability. The connectivity variability was also related to variability in sulcal depth but not cortical thickness, positively correlated with the degree of long-range connectivity but negatively correlated with local connectivity. A meta-analysis further revealed that regions predicting individual differences in cognitive domains are predominantly located in regions of high connectivity variability. Our findings have potential implications for understanding brain evolution and development, guiding intervention, and interpreting statistical maps in neuroimaging.
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