Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America.
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, United States of America.
PLoS Biol. 2023 Aug 15;21(8):e3002176. doi: 10.1371/journal.pbio.3002176. eCollection 2023 Aug.
Music is core to human experience, yet the precise neural dynamics underlying music perception remain unknown. We analyzed a unique intracranial electroencephalography (iEEG) dataset of 29 patients who listened to a Pink Floyd song and applied a stimulus reconstruction approach previously used in the speech domain. We successfully reconstructed a recognizable song from direct neural recordings and quantified the impact of different factors on decoding accuracy. Combining encoding and decoding analyses, we found a right-hemisphere dominance for music perception with a primary role of the superior temporal gyrus (STG), evidenced a new STG subregion tuned to musical rhythm, and defined an anterior-posterior STG organization exhibiting sustained and onset responses to musical elements. Our findings show the feasibility of applying predictive modeling on short datasets acquired in single patients, paving the way for adding musical elements to brain-computer interface (BCI) applications.
音乐是人类体验的核心，但音乐感知背后的确切神经动力学仍不清楚。我们分析了 29 名患者听平克·弗洛伊德歌曲的独特颅内脑电图（iEEG）数据集，并应用了先前在语音领域使用的刺激重建方法。我们成功地从直接神经记录中重建了一首可识别的歌曲，并量化了不同因素对解码准确性的影响。结合编码和解码分析，我们发现音乐感知存在右半球优势，主要涉及颞上回（STG），证明了一个新的 STG 亚区对音乐节奏有特定响应，并定义了一个从前到后的 STG 组织，对音乐元素表现出持续和起始的反应。我们的研究结果表明，在单个患者中获取的短数据集上应用预测模型是可行的，为将音乐元素添加到脑机接口（BCI）应用中铺平了道路。
