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Related Experiment Video

Updated: Nov 5, 2025

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Self-Related Stimuli Decoding With Auditory and Visual Modalities Using Stereo-Electroencephalography.

Huanpeng Ye1, Zhen Fan2, Guohong Chai1

  • 1State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Frontiers in Neuroscience
|May 21, 2021
PubMed
Summary
This summary is machine-generated.

This study used stereo-electroencephalography (SEEG) to identify brain regions processing one's own name versus a stranger's name. High-gamma band activity in specific regions showed high accuracy in distinguishing names, aiding in self-related cognition research.

Keywords:
auditory/visual modalityname decodingresponse classificationself-referencingstereo-electroencephalography

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neurology

Background:

  • Name recognition is crucial for self-related cognitive processes and clinical applications like autism spectrum disorder diagnosis.
  • Previous noninvasive methods (EEG, fMRI) had limitations in spatial or temporal resolution for precise neural response measurement.
  • Millisecond-level response latencies in specific brain regions remain unmeasured by noninvasive techniques.

Purpose of the Study:

  • To distinguish neural responses to one's own name versus a stranger's name using invasive stereo-electroencephalography (SEEG).
  • To explore common active brain regions across auditory and visual modalities during name recognition.
  • To investigate the spatiotemporal features, including neural oscillations, involved in self-name processing.

Main Methods:

  • Utilized invasive stereo-electroencephalography (SEEG) recordings for high spatial and temporal resolution.
  • Classified neural activities based on spatiotemporal features in high-gamma, beta, and alpha bands.
  • Analyzed auditory and visual modality responses to own versus stranger's names.

Main Results:

  • Multi-region SEEG signals successfully decoded different names, with the high-gamma band (60-145 Hz) showing the best performance.
  • Auditory and visual name classification accuracies reached 84.5 ± 8.3% and 79.9 ± 4.6%, respectively.
  • Specific regions like the supramarginal gyrus, middle temporal gyrus, and insula demonstrated remarkable accuracy for both modalities, with response differences noted at 354 ± 63 ms (auditory) and 285 ± 59 ms (visual).

Conclusions:

  • Name recognition involves a distributed brain network, with specific subsets of regions capable of decoding self-related information.
  • High-gamma band activity is particularly important for distinguishing self-names.
  • Identified brain regions and their response latencies may serve as potential targets for awareness detection and cognitive evaluation.