没有平衡的大脑动态被认为是扰乱复杂性的起源
Wiep Stikvoort1, Eider Pérez-Ordoyo1, Iván Mindlin2
1Center for Brain and Cognition, Department of Information Technologies and Communications (DTIC), Universitat Pompeu Fabra, Barcelona, Spain.
PLoS computational biology
|June 6, 2025
概括
大脑是大脑的大脑.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 复杂性科学 复杂性科学
背景情况:
- 评估意识是具有挑战性的,神经成像指标有助于临床医生.
- 以前的研究集中在刺激后的大脑复杂性,以量化意识.
研究的目的:
- 测试未被扰乱的大脑动态是否预测对刺激的反应.
- 探索非平衡动态作为意识水平的标记.
主要方法:
- 从静止状态fMRI在改变意识状态中个性化全脑模型.
- 评估大脑动态中的不对称性和不可逆性.
- 与模拟的扰乱复杂性指数 (PCI) 相比,在 silico.
主要成果:
- 较低的兴奋/意识状态显示连接性不对称性减少,不可逆转性和引起的复杂性.
- 大脑连接中的不对称性驱动非平衡动态.
- 非平衡动态预测系统对刺激的复杂性反应.
结论:
- 不被干扰的大脑的非平衡动态,特别是连接不对称性,反映了意识水平.
- 这种方法提供了一种使用静止状态数据评估意识的新方法.
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