Ivey Valarie, Yuan Han, Ding Lei
Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, USA.
Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, USA; Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, USA.
Neuroimage. 2025 Sep;318:121408. doi: 10.1016/j.neuroimage.2025.121408. Epub 2025 Jul 31.
Large-scale distributed activations in various modes of spatiotemporal organizations have been extensively reported in both hemodynamic and electrical/magnetic human brain signals, which provides knowledge on how information is being hierarchically processed and integrated among functionally linked brain regions. These large-scale distributed activations have also been identified in brain signals from animals, indicating that they are preserved brain organizations in species evolution. Recent studies using human electroencephalography (EEG) and magnetoencephalography (MEG) have further revealed that large-scale distributed activations are frequency-specific and of fast dynamics (tens of milliseconds), while these phenomena have not been investigated in animals. The present study used electrocorticography (ECoG) data recorded with the coverage of nearly entire hemisphere(s) to investigate the existence of time-resolved large-scale coactivation patterns (CAPs) in monkey brains and compare them to CAPs from whole-head human EEG data both at resting states. The present results reveal brain-wide patterns of CAPs in monkey ECoG data, which share significant similarities to human EEG CAPs, both in the alpha band, on spatial and temporal patterns not only in individual CAPs but also on relative differences among different CAPs. The transition patterns among all monkey ECoG CAPs further reveal a similar superstructure as in human EEG CAPs that controls the dynamics of brain state transitions at rest and their spatial expressions. These findings suggest that large-scale brain events of fast dynamics exist in non-human primates and they are of functional importance cross species, similar as time-averaged ones that have been well reported in literature.
在人类大脑的血液动力学信号以及电/磁信号中，已经广泛报道了各种时空组织模式下的大规模分布式激活，这为了解信息如何在功能相连的脑区中进行分层处理和整合提供了知识。在动物的脑信号中也发现了这些大规模分布式激活，这表明它们是物种进化中保留下来的脑组织形式。最近使用人类脑电图（EEG）和脑磁图（MEG）的研究进一步表明，大规模分布式激活具有频率特异性且动态快速（几十毫秒），而这些现象尚未在动物中进行研究。本研究使用记录覆盖几乎整个半球的皮层脑电图（ECoG）数据，来研究猴脑是否存在时间分辨的大规模共激活模式（CAPs），并将其与静息状态下全头人类EEG数据的CAPs进行比较。目前的结果揭示了猴ECoG数据中全脑范围的CAPs模式，它与人类EEG的CAPs在α波段、空间和时间模式上都有显著相似性，不仅在单个CAPs中如此，在不同CAPs之间的相对差异上也是如此。所有猴ECoG CAPs之间的转换模式进一步揭示了与人类EEG CAPs类似的上层结构，该结构控制着静息状态下脑状态转换的动态及其空间表达。这些发现表明，快速动态的大规模脑事件存在于非人类灵长类动物中，并且它们在跨物种方面具有功能重要性，类似于文献中已充分报道的时间平均脑事件。
