Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08005, Barcelona, Spain.
Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08005, Barcelona, Spain; Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany; School of Psychological Sciences, Monash University, Melbourne, Clayton, VIC, 3800, Australia.
Neuroimage. 2018 May 15;172:492-505. doi: 10.1016/j.neuroimage.2018.01.064. Epub 2018 Feb 6.
Cognitive processing requires the ability to flexibly integrate and process information across large brain networks. How do brain networks dynamically reorganize to allow broad communication between many different brain regions in order to integrate information? We record neural activity from 12 epileptic patients using intracranial EEG while performing three cognitive tasks. We assess how the functional connectivity between different brain areas changes to facilitate communication across them. At the topological level, this facilitation is characterized by measures of integration and segregation. Across all patients, we found significant increases in integration and decreases in segregation during cognitive processing, especially in the gamma band (50-90 Hz). We also found higher levels of global synchronization and functional connectivity during task execution, again particularly in the gamma band. More importantly, functional connectivity modulations were not caused by changes in the level of the underlying oscillations. Instead, these modulations were caused by a rearrangement of the mutual synchronization between the different nodes as proposed by the "Communication Through Coherence" Theory.
认知处理需要能够灵活地在大脑网络中整合和处理信息。大脑网络如何动态重组，以允许许多不同的大脑区域之间进行广泛的通信，从而整合信息？我们在 12 名癫痫患者执行三项认知任务时使用颅内 EEG 记录神经活动。我们评估不同脑区之间的功能连接如何变化以促进它们之间的通信。在拓扑水平上，这种促进作用的特征是整合和隔离的度量。在所有患者中，我们发现认知处理过程中整合度显著增加，隔离度降低，尤其是在伽马频段（50-90Hz）。我们还发现任务执行过程中全局同步和功能连接水平更高，尤其是在伽马频段。更重要的是，功能连接的调制不是由基础振荡水平的变化引起的。相反，这些调制是由不同节点之间的相互同步的重新排列引起的，正如“通过相干进行通信”理论所提出的那样。
