皮层言语追踪作为客观噪声下言语标记的边界条件：一项三数据集MEG/EEG基准研究。
Boundary conditions for cortical speech tracking as an objective speech-in-noise marker: a three-dataset MEG/EEG benchmark.
文献信息
| PMID | 42805137 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Li Guo |
| 作者单位 | Department of Otolaryngology, Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710000, China. Electronic address: guoli1988@xjtu.edu.cn. |
| 期刊 | Hearing research |
| SCI 分区 | Q1 |
| IF | 3.2 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 耳科 |
中文摘要
目的： 客观电生理标记常被提议用于噪声下言语评估，但其验证目标并不总是明确：一个标记可能校准于可懂度、区分声学条件、解码注意，或预测个体言语接受阈（SRT）。我们使用三个公开的MEG/EEG数据集，在一个验证框架内检验这些终点。在MEG-SCANS（22名听力正常听者）中，delta频段句子级包络重建随目标可懂度增加（Friedman卡方=31.27，p=8.3e-6）。然而，个体曲线很少严格单调（1/22名参与者），拟合的神经测量SRT与50%可懂度SNR代理指标的一致性有限（r=0.29，p=0.20；RMSE=2.57 dB）。在Etard/Reichenbach EEG数据集中，严格的留一部分解码证实了delta频段对英语（p=0.0013）和荷兰语（p=7.1e-6）中干净语音与嘈杂语音的敏感性，且目标包络追踪强于干扰包络追踪。在ds-eeg-snhl中，被注意语音的追踪强于被忽略语音（p=6.0e-21），听力受损听者表现出增强的追踪，并且当省略年龄时，经听力图调整的与SRT的关联仍然存在。然而，EEG标记仅产生小的且依赖于模型的交叉验证预测增益。因此，该基准区分了设计可管理的约束与构念层面的非特异性：皮层言语追踪作为群体水平、条件敏感和注意敏感的标记具有泛化性，而个体神经测量SRT的转化仍依赖于方案。
英文摘要
Objective electrophysiological markers are often proposed for speech-in-noise assessment, but their validation targets are not always explicit: a marker may calibrate with intelligibility, distinguish acoustic conditions, decode attention, or predict an individual speech reception threshold (SRT). We used three public MEG/EEG datasets to test these endpoints within one validation framework. In MEG-SCANS (22 normal-hearing listeners), delta-band sentence-level envelope reconstruction increased with target intelligibility (Friedman chi-square=31.27, p = 8.3e-6). However, individual curves were rarely strictly monotonic (1/22 participants), and fitted neurometric SRTs showed limited agreement with a 50% intelligibility SNR proxy (r = 0.29, p = 0.20; RMSE=2.57 dB). In the Etard/Reichenbach EEG dataset, strict leave-one-part-out decoding confirmed delta-band sensitivity to clean versus babble speech in English (p = 0.0013) and Dutch (p = 7.1e-6), with stronger target- than distractor-envelope tracking. In ds-eeg-snhl, attended speech was tracked more strongly than ignored speech (p = 6.0e-21), hearing-impaired listeners showed enhanced tracking, and the audiogram-adjusted association with SRT persisted when age was omitted. Yet EEG markers produced only small and model-dependent cross-validated predictive gains. The benchmark therefore distinguishes design-manageable constraints from construct-level non-specificity: cortical speech tracking generalizes as a group-level, condition-sensitive and attention-sensitive marker, whereas individual neurometric SRT translation remains protocol-dependent.