Parks David F, Schneider Aidan M, Xu Yifan, Brunwasser Samuel J, Funderburk Samuel, Thurber Danilo, Blanche Tim, Dyer Eva L, Haussler David, Hengen Keith B
Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA.
Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA.
Nat Neurosci. 2024 Sep;27(9):1829-1843. doi: 10.1038/s41593-024-01715-2. Epub 2024 Jul 15.
The most robust and reliable signatures of brain states are enriched in rhythms between 0.1 and 20 Hz. Here we address the possibility that the fundamental unit of brain state could be at the scale of milliseconds and micrometers. By analyzing high-resolution neural activity recorded in ten mouse brain regions over 24 h, we reveal that brain states are reliably identifiable (embedded) in fast, nonoscillatory activity. Sleep and wake states could be classified from 10 to 10 ms of neuronal activity sampled from 100 µm of brain tissue. In contrast to canonical rhythms, this embedding persists above 1,000 Hz. This high-frequency embedding is robust to substates, sharp-wave ripples and cortical on/off states. Individual regions intermittently switched states independently of the rest of the brain, and such brief state discontinuities coincided with brief behavioral discontinuities. Our results suggest that the fundamental unit of state in the brain is consistent with the spatial and temporal scale of neuronal computation.
大脑状态最稳健且可靠的特征集中在0.1至20赫兹的节律中。在此，我们探讨大脑状态的基本单位可能处于毫秒和微米尺度的可能性。通过分析在24小时内记录的十个小鼠脑区的高分辨率神经活动，我们发现大脑状态能够在快速、非振荡性活动中可靠地被识别（嵌入）。睡眠和清醒状态可以从取自100微米脑组织的10至10毫秒的神经元活动中进行分类。与典型节律不同，这种嵌入在1000赫兹以上仍然存在。这种高频嵌入对亚状态、尖波涟漪和皮层开/关状态具有鲁棒性。各个脑区会间歇性地独立于大脑其他部分切换状态，而这种短暂的状态间断与短暂的行为间断相吻合。我们的结果表明，大脑中状态的基本单位与神经元计算的时空尺度相一致。
