Ecole Polytechnique Fédérale de Lausanne, Institute of Bioengineering/Center for Neuroprosthetics, School of Engineering, Switzerland; University of Geneva, Department of Radiology and Medical Informatics, Faculty of Medicine, Switzerland.
Curr Biol. 2019 Jul 22;29(14):R690-R692. doi: 10.1016/j.cub.2019.06.006.
A major challenge in systems-level neuroscience is to understand the dynamic formation and succession of brain states. A new study has extracted reproducible brain states from mouse resting-state fMRI data, revealing interactions between occurrences of these states and the phase of global signal fluctuations and alterations of the states in a mouse model of autism.
系统神经科学的一个主要挑战是理解大脑状态的动态形成和连续。一项新的研究从老鼠静息状态 fMRI 数据中提取出了可重复的大脑状态,揭示了这些状态的出现与全局信号波动相位之间的相互作用,以及自闭症老鼠模型中状态的改变。