测量集成和隔离的动态平衡,这些平衡是意识,麻醉和睡眠的基础
Hyunwoo Jang1,2, George A Mashour1,2,3,4,5, Anthony G Hudetz1,2,3,4
1Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.
bioRxiv : the preprint server for biology
|April 25, 2024
概括
意识依赖于大脑网络平衡. 麻醉将这种平衡转向隔离,但机器学习可以使用集成和隔离指标预测状态.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
背景情况:
- 意识与功能性大脑网络中整合和分离之间的动态平衡有关.
- 最佳的大脑功能依赖于保持这种平衡,受全球效率 (整合) 和聚类 (分离) 的影响.
结论:
- 通过ISD测量的整合分离平衡有效地区分了意识和无意识的大脑状态.
- 机器学习模型根据网络集成和隔离准确地预测了大脑状态和过渡.
- 通过对睡眠数据集的分析来证实这些发现,强调了整合分离平衡作为意识指数的概括性.
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