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A multi-feature pattern-based EEG neurofeedback to prevent smoking

A multi-feature pattern-based EEG neurofeedback to prevent smoking

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR-IPR-17011710
Enrollment
Unknown
Registered
2017-06-20
Start date
2017-06-20
Completion date
Unknown
Last updated
2018-01-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Nicotine Dependence

Interventions

Group A:Down-regulation training based on the individual feedback smoking-related signals
Group B:Down-regulation training based on the matched individual feedback smoking-related signals pattern from Group A, respectively

Sponsors

University of Science and Technology of China
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 40 Years

Inclusion criteria

Inclusion criteria: 1. Consumed at least 10 cigarettes per day for 2 years; 2. Right handed; 3. Normal or corrected to normal vision; 4. In good health; 5. Between the ages of 18-40 years; 6. To be able to abstain from cigarettes 2 hours before each visit

Exclusion criteria

Exclusion criteria: 1. Chronic neurological, psychiatric, or medical conditions; 2. No current usage of psychoactive medication; 3. Are not suitable to undergo an EEG experiment; 4. Other drug dependence (except nicotine in the smokers).

Design outcomes

Primary

MeasureTime frame
cigarette craving;the average number of cigarettes smoked per day;EEG signal;

Countries

China

Contacts

Public ContactXiaochu Zhang

University of Science and Technology of China

zxcustc@ustc.edu.cn+86 551-63607295

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 8, 2026