CORSICA: Reproducible suppression of cochlear implant artifacts in EEG evoked by continuous speech

Electroencephalography (EEG) is a key tool for studying auditory
processing in cochlear implant (CI) users. In particular, EEG recordings obtained dur-
ing continuous speech are becoming increasingly important for assessing speech and
language processing in CI users, and may be utilized for neurofeedback....

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No direct clinical practice change; CORSICA is a research tool for EEG artifact suppression in CI users, potentially enabling better future studies of auditory processing in this population.

Reliable artifact rejection from cochlear implant signals in EEG is a longstanding barrier to auditory neuroscience research in CI users; a reproducible open-access method could accelerate understanding of central auditory processing outcomes.

1. 01CORSICA is a new algorithm designed to remove cochlear implant (CI) electrical artifact from EEG brain recordings.
2. 02Method is optimized for continuous speech stimuli rather than isolated tones, reflecting real-world listening conditions.
3. 03Reproducible suppression of CI artifacts enables valid study of brain-level auditory processing in CI users.
4. 04Addresses a key technical gap that has limited EEG-based CI research for years.
5. 05Primarily a research methodology contribution; not a clinical diagnostic tool.

PMID

42705338

DOI

10.1088/1741-2552/aea36e.

Journal

Journal of Neural Engineering

Publication type

research_article

Evidence level

2b

Population

Cochlear implant users undergoing EEG recording during continuous speech stimulation

Intervention

CORSICA artifact suppression algorithm applied to CI-contaminated EEG