语音和音乐招募特定频率的分布和重叠的皮质网络
Noémie Te Rietmolen1,2, Manuel R Mercier2, Agnès Trébuchon1,2,3
1Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France.
eLife
|July 22, 2024
概括
神经网络在很大程度上共享用于语音和音乐处理的大脑活动,在频率特定的大脑振荡中发现域特定的响应,而不是特定的解剖区域.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 脑部成像 脑部成像
背景情况:
- 了解大脑如何处理复杂的听觉信息,如语音和音乐,至关重要.
- 以前的研究经常使用简化的刺激,这可能会限制对自然主义大脑功能的洞察力.
- 区分域一般和域特定的神经处理仍然是一个活跃的研究领域.
研究的目的:
- 调查语音和音乐处理在多大程度上参与域特定与域一般神经网络.
- 为了确定神经活动的性质和位置共享或选择性语音和音乐.
- 探索频率特定的大脑振荡在听觉感知中的作用.
主要方法:
- 利用了18名患者的全脑内脑电图 (iEEG) 记录.
- 给参与者提供了自然,连续的语音和音乐刺激.
- 采用统计框架来区分共享,偏好和域选择性神经反应.
主要成果:
- 大多数神经活动,无论是焦点级还是网络级,都在语音和音乐处理之间共享.
- 在语音与音乐之间没有观察到显著的解剖区域选择性.
- 主要通过分布式,频率特定的连贯振荡来确定域选择性神经反应,类似于光谱指纹.
结论:
- 听觉处理,包括语音和音乐,在很大程度上依赖于总域神经网络.
- 听觉处理中的域选择性以频率特定的振荡模式而不是独特的大脑区域为特征.
- 研究自然刺激和复杂的大脑动态对于准确地绘制认知功能至关重要.
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