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NCT Number: NCT07740070

Cognitive Processing of Natural Sequences in Humans and Artificial Intelligence (AI)

The goal of this study is to identify electrical patterns in the cortex that enable the generation of predictions in natural auditory sequences such as speech and music.

Between 500 and 700 participants in total (250 to 350 normally hearing participants (including 60 to 120 participants from West Africa and 60 to 120 participants from Western Europe) and 250 to 350 participants with hearing loss (no restrictions on origin)).

Participants will listen to naturally recorded music and speech via headphones. They will be asked to rate these stimuli on a scale from 0 to 10 in terms of pleasure and comprehension, using a keyboard and mouse or voice input. Additionally, they will be required to sing or produce novel/improvised vocal responses using high-fidelity microphones. This entire procedure will be conducted under electroencephalography (EEG) to record neuronal responses throughout the process.

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Key information

Conditions

Hearing Disorders and Deafness Deafness Ear Diseases Hearing Disorders Hearing Loss Nervous System Diseases Neurologic Manifestations Otorhinolaryngologic Diseases Pathological Conditions, Signs and Symptoms Sensation Disorders Signs and Symptoms

Age range

18 year–85 year

Sex eligibility

All sexes

Study type

Observational

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

For hearing participants:

  • Average pure-tone thresholds ≤ 20 dB HL

For participants with hearing loss:

  • Average pure-tone thresholds > 20 dB HL

For participants of West African origin:

  • Average pure-tone thresholds ≤ 20 dB HL
  • Declare that both parents are of West African origin, either by their own birth or by the birth of both of their parents.

Exclusion criteria

  • No known neurological or audiological disorders
  • Participants under legal guardianship (tutelle, curatelle)
  • Participants deprived of legal liberty by judicial or administrative decision

Treatment and study plan

Primary outcomes

  1. Correlation between neural recordings and IA models

    Time frame: Day 1

    To identify electrical patterns in cortex which generates predictions in natural auditory sequences (such as speak and music).

Secondary outcomes

  1. Compare predictions generated across different cultural contexts

    Time frame: Day 1

    specifically, comparing West African and Western European communities in Paris

  2. Compare predictions for identical stimuli across repeated sessions to establish a link between processing and successful memorization/retention.

    Time frame: From enrollement to visit 2 (10 days)

  3. Compare predictions generated between hearing individuals and those with hearing impairments.

    Time frame: Day 2

  4. Correlate predictive measures with responses to autism symptom questionnaires across the various experiments.

    Time frame: Day 1

Sponsors and collaborators

Lead sponsor

Institut Pasteur

Industry

Collaborators

  • IHU reConnect

Registry information

Official study title

SEQUOIA : Cognitive Processing of Natural Sequences in Humans and Artificial Intelligence (AI)

Acronym: SEQUOIA

Important dates

Study start
2026
Primary completion
2030
Study completion
2033
First posted
Jul 31, 2026
Registry last updated
Jul 31, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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