不同的分布式大脑网络分离了自我生成的精神状态
Nathan L Anderson1, Joseph J Salvo1, Jonathan Smallwood2
1Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine.
bioRxiv : the preprint server for biology
|March 10, 2025
概括
人类的认知使用感官输入或自我生成的内容. 大脑成像揭示了用于想象场景 (默认网络) 和语音 (语言网络) 的独特网络,突出了跨模态关联区域.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 脑部成像 脑部成像
背景情况:
- 人类的认知以感知合和感知解模式运行.
- 想象中的状态涉及感官皮层恢复和默认网络活动.
- 跨模式系统涉及到心灵漫游,回忆和未来想象.
研究的目的:
- 识别支持自我产生精神状态的大脑系统.
- 调查想象视觉场景与语音之间的神经相关性.
- 在认知中区分单模传感网络和跨模协会网络的不同作用.
主要方法:
- 在人类参与者中精确的功能磁共振成像 (fMRI).
- 多维体验采样以表征主观心理状态.
- 在想象的场景 (场景和语音) 中分析大脑活动.
主要成果:
- 想象场景激活了靠近默认网络的区域.
- 想象语言网络附近的语音激活区域.
- 想象和感知之间的重叠主要是在跨模态关联网络中,而不是单模态感官区域.
结论:
- 独特的关联网络支持视觉和听觉上生动的想象状态.
- 超模网络,而不是直接的感官恢复,主要支持复杂的心理图像.
- 这些发现阐明了内部产生的心理内容的神经基础.
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