Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Academic Center for Epileptology, Kempenhaeghe/Maastricht University Medical Center, Heeze, The Netherlands.
Sci Data. 2022 Jul 22;9(1):434. doi: 10.1038/s41597-022-01542-9.
Speech production is an intricate process involving a large number of muscles and cognitive processes. The neural processes underlying speech production are not completely understood. As speech is a uniquely human ability, it can not be investigated in animal models. High-fidelity human data can only be obtained in clinical settings and is therefore not easily available to all researchers. Here, we provide a dataset of 10 participants reading out individual words while we measured intracranial EEG from a total of 1103 electrodes. The data, with its high temporal resolution and coverage of a large variety of cortical and sub-cortical brain regions, can help in understanding the speech production process better. Simultaneously, the data can be used to test speech decoding and synthesis approaches from neural data to develop speech Brain-Computer Interfaces and speech neuroprostheses.
言语产生是一个涉及大量肌肉和认知过程的复杂过程。言语产生的神经过程还不完全清楚。由于言语是人类特有的能力,因此不能在动物模型中进行研究。只有在临床环境中才能获得高保真的人类数据,因此并非所有研究人员都容易获得。在这里,我们提供了一个数据集,其中 10 名参与者在阅读单个单词时,我们从总共 1103 个电极中测量了颅内 EEG。该数据具有较高的时间分辨率和广泛的皮质和皮质下脑区覆盖范围,可以帮助更好地理解言语产生过程。同时,该数据可用于测试从神经数据进行言语解码和合成的方法,以开发言语脑机接口和言语神经假体。