Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France.
Aix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Elife. 2024 Jul 22;13:RP94509. doi: 10.7554/eLife.94509.
To what extent does speech and music processing rely on domain-specific and domain-general neural networks? Using whole-brain intracranial EEG recordings in 18 epilepsy patients listening to natural, continuous speech or music, we investigated the presence of frequency-specific and network-level brain activity. We combined it with a statistical approach in which a clear operational distinction is made between , and domain- neural responses. We show that the majority of focal and network-level neural activity is shared between speech and music processing. Our data also reveal an absence of anatomical regional selectivity. Instead, domain-selective neural responses are restricted to distributed and frequency-specific coherent oscillations, typical of spectral fingerprints. Our work highlights the importance of considering natural stimuli and brain dynamics in their full complexity to map cognitive and brain functions.
言语和音乐处理在多大程度上依赖于特定领域和一般领域的神经网络?通过对 18 名癫痫患者在听自然、连续的言语或音乐时进行全脑颅内 EEG 记录,我们研究了特定频率和网络水平的大脑活动的存在。我们将其与一种统计方法相结合,该方法在域内和域神经反应之间做出了明确的操作区分。我们表明,大多数焦点和网络水平的神经活动在言语和音乐处理之间是共享的。我们的数据还揭示了缺乏解剖区域选择性。相反,特定领域的神经反应仅限于分布式和特定频率的相干振荡,这是频谱指纹的典型特征。我们的工作强调了在其复杂性的充分考虑下,考虑自然刺激和大脑动力学对映射认知和大脑功能的重要性。