A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language

High-density intracranial recordings during naturalistic language processing are critical for advancing models of speech perception. However, open, well-annotated high-density ECoG resources for tonal languages such as Mandarin remain scarce. We present a publicly available high-density ECoG dataset from four participants undergoing awake craniotomy who listened to continuous, sentence-level Mandarin drawn from the Annotated Speech Corpus of Chinese Discourse (ASCCD). Signals were recorded with 128-256-channel subdural grids and synchronized with the audio; ECoG signals were down-sampled to 400 Hz, filtered in the high-gamma range (70-150 Hz), and used to derive high-gamma amplitude. The release follows BIDS-iEEG and is distributed as NWB files, with derivatives including high-gamma amplitude; word- and syllable-level alignments; Pinyin; lexical tone and stress tiers; prosodic break indices; mel-spectrograms; F0 and formants; and electrode localization on individual anatomy with projections to MNI space. This resource supports fine-grained investigations of lexical tone, syllabic structure, and higher-level linguistic representations during naturalistic listening.

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Publication Details

Journal
Scientific Data
Published
2026-06-17
DOI
https://doi.org/10.1038/s41597-026-07619-z
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language

Daohan Zhang, Junfeng Lu, Haitao Zhang, Yuanning Li et al.
Scientific Data
Phonetics and Phonology Research
article

A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language

Daohan Zhang, Junfeng Lu, Haitao Zhang, Yuanning Li, J I A H U I Wu
article en

Abstract

High-density intracranial recordings during naturalistic language processing are critical for advancing models of speech perception. However, open, well-annotated high-density ECoG resources for tonal languages such as Mandarin remain scarce. We present a publicly available high-density ECoG dataset from four participants undergoing awake craniotomy who listened to continuous, sentence-level Mandarin drawn from the Annotated Speech Corpus of Chinese Discourse (ASCCD). Signals were recorded with 128-256-channel subdural grids and synchronized with the audio; ECoG signals were down-sampled to 400 Hz, filtered in the high-gamma range (70-150 Hz), and used to derive high-gamma amplitude. The release follows BIDS-iEEG and is distributed as NWB files, with derivatives including high-gamma amplitude; word- and syllable-level alignments; Pinyin; lexical tone and stress tiers; prosodic break indices; mel-spectrograms; F0 and formants; and electrode localization on individual anatomy with projections to MNI space. This resource supports fine-grained investigations of lexical tone, syllabic structure, and higher-level linguistic representations during naturalistic listening.

Scientific Data
Fudan University (CN), ShanghaiTech University (CN), Shanghai Clinical Research Center (CN), Huashan Hospital (CN)
National Natural Science Foundation of China, Shanghai Municipal Education Commission, Shanghai Rising-Star Program, National Science and Technology Major Project, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Phonetics and Phonology Research
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A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language — Daohan Zhang, Junfeng Lu, et al. · Scientific Data (2026) | TGRS Research Map | TGRS