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Multi-Scale Signal-Image Fusion Model Based On ECoGfor Automatic Detection of Early-stage Traumatic Brain Injury.

Chenyu Zhang, Yinzhe Wu, Jeanne Boyer-Chammard

    IEEE Transactions on Bio-Medical Engineering
    |March 12, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel framework for monitoring spreading depolarizations (SDs) using electrocorticography (ECoG) signals. The new method enhances early detection of brain injury by analyzing spatiotemporal patterns, improving patient outcomes.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Spreading depolarizations (SDs) significantly contribute to secondary brain injury.
    • Current bedside monitoring using electrocorticography (ECoG) has limitations in analyzing joint spatiotemporal patterns due to separate electrode and frequency band analysis.

    Purpose of the Study:

    • To introduce a multi-scale signal-image fusion framework for comprehensive SD monitoring.
    • To enable joint multi-modal, multi-band spectral image-based analysis of SDs for improved detection.

    Main Methods:

    • ECoG signals were converted into persistent spectral de-weighted spectrograms (PSd-Spec).
    • A Transformer-CNN framework with Multi-Channel and Band Transformer Blocks (MCBTB) and Multi-Scale Adaptive Fusion (MSAF) was employed.
    • The network extracted dynamics across multiple scales and used attention for adaptive spatial propagation modeling.

    Main Results:

    • The framework achieved 92.6% accuracy and 84.9% sensitivity on 500h of neuro-ICU recordings.
    • Performance improved by at least 18% compared to single-modality baselines.
    • SD onset was detected an average of 8 minutes earlier than expert observation.

    Conclusions:

    • Multi-scale fusion of spectral images with ECoG signals provides a clinically actionable early-warning system for SDs.
    • This approach extends quantitative imaging methods to intracranial electrophysiology, offering improved brain injury monitoring.