识别大脑状态和神经调节以促进意识的恢复
Glenn J M van der Lande1,2, Diana Casas-Torremocha3, Arnau Manasanch3
1GIGA-Consciousness, Coma Science Group, University of Liège, Liège 4000, Belgium.
Brain communications
|October 30, 2024
概括
识别大脑状态对于理解意识至关重要. 本综述综合了对意识变化的大脑状态的研究,提出了一个整合识别和调制的框架,以更好地治疗意识障碍.
科学领域:
- 神经科学与意识研究 研究神经科学与意识研究
- 大脑状态识别和调制
- 计算神经科学是一种神经科学.
背景情况:
- 目前与意识相关的大脑状态的识别通常是不系统的,并且与调制研究脱节.
- 改变意识状态 (睡眠,麻醉,意识障碍) 对理解大脑功能提出了独特的挑战.
- 对意识障碍的现有治疗方法显示出有限的,非特异性的疗效.
研究的目的:
- 综合识别不同意识状态 (动物模型,生理学,药理学,病理学) 的大脑状态的进展.
- 分析大脑状态的特征减少意识,包括网络连接和通信模式.
- 提出一个综合治疗框架,用于识别和调节大脑状态,以改善意识及其障碍.
主要方法:
- 叙事综述综合了关于大脑状态和意识的实验和临床研究.
- 分析大脑活动模式 (频率,连接性,复杂性) 在降低意识的情况下.
- 对意识障碍的治疗干预措施 (药理学,大脑刺激) 的评估.
主要成果:
- 意识减弱与脑频率减慢,功能沟通稀疏,效率较低,复杂性较低有关.
- 在改变的意识中观察到受损的静止状态网络 (例如默认模式网络) 和降低的远程/甲状腺皮层连接.
- 目前的神经调节技术显示部分有效性,但往往缺乏特异性,导致不一致的行为改善.
结论:
- 整合大脑状态识别和调制研究对于开发针对意识障碍的向疗法至关重要.
- 一个拟议的框架强调对大脑状态的预测性识别,然后在物种和条件之间进行有针对性的神经调节测试.
- 计算建模和多式联络方法为推进大脑状态研究和临床翻译提供了重大机会.
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