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

Haobo Zhang^1,2,3, Daohan Zhang^1,2,3, Jinsong Wu^1,2,3

¹Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.

Scientific Data

|June 16, 2026

Summary

We released a high-density electrocorticography (ECoG) dataset for Mandarin speech perception. This resource aids research into tonal languages and neural processing of naturalistic language.

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Area of Science:

Neuroscience
Linguistics
Data Science

Background:

High-density intracranial recordings are crucial for speech perception models.
Scarce ECoG data exists for tonal languages like Mandarin.

Purpose of the Study:

To present a publicly available, high-density ECoG dataset for Mandarin speech processing.
To facilitate research on neural correlates of tonal language perception.

Main Methods:

Recorded high-density ECoG (128-256 channels) from four participants during Mandarin listening.
Processed signals to derive high-gamma amplitude, synchronized with audio.
Annotated data with linguistic features (Pinyin, tone, stress, syllable alignment).

Main Results:

A comprehensive, annotated ECoG dataset is now publicly available.
Data includes raw ECoG, high-gamma amplitude, and detailed linguistic annotations.
Electrode locations are provided in individual and MNI space.

Conclusions:

This dataset supports fine-grained analysis of Mandarin speech perception.
Enables investigation of lexical tone, syllabic structure, and linguistic representations.
Advances understanding of neural processing in tonal languages.