Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.
Department of Computer Science, University of Warwick, Coventry, UK.
Hum Brain Mapp. 2021 Jun 15;42(9):2790-2801. doi: 10.1002/hbm.25404. Epub 2021 Mar 20.
We describe advances in the understanding of brain dynamics that are important for understanding the operation of the cerebral cortex in health and disease. Peaks in the resting state fMRI BOLD signal in many different brain areas can become synchronized. In data from 1,017 participants from the Human Connectome Project, we show that early visual and connected areas have the highest probability of synchronized peaks. We show that these cortical areas also have low temporal variability of their functional connectivity. We show that there is an approximately reciprocal relation between the probability that a brain region will be involved in synchronized peaks and the temporal variability of the connectivity of a brain region. We show that a high probability of synchronized peaks and a low temporal variability of the connectivity of cortical areas are related to high mean functional connectivity, and provide an account of how these dynamics with some of the properties of avalanches arise. These discoveries help to advance our understanding of cortical operation in health, and in some mental disorders including schizophrenia.
我们描述了对大脑动力学的理解的进展,这些进展对于理解健康和疾病状态下大脑皮层的运作非常重要。在许多不同的大脑区域的静息状态 fMRI BOLD 信号中,峰值可以变得同步。在来自人类连接组计划的 1017 名参与者的数据中,我们表明早期视觉和连接区域具有最高的同步峰值概率。我们表明这些皮质区域的功能连接也具有较低的时间变异性。我们表明,一个大脑区域参与同步峰值的概率与一个大脑区域的连接的时间变异性之间存在大约互为反函数的关系。我们表明,皮质区域的同步峰值概率高和连接的时间变异性低与平均功能连接度高有关,并提供了一个解释,说明这些动态与某些雪崩特性是如何产生的。这些发现有助于我们理解健康状态下的皮质运作,以及包括精神分裂症在内的一些精神障碍。