ClinicalTrials.gov
public full text
Public Domain
Enhancing Brain Processing Via Neurofeedback in Addictive Disorders
The purpose of this study is to investigate the effects of neurofeedback training on measures of cognitive control and alcohol motivation among young adults who drink alcohol on a regular basis. Neurofeedback is a cognitive training technique that uses portable electroencephalography (EEG) technology to adjust brain activity through immediate sensory feedback. This study is using a type of EEG device called a MuseTM headset that monitors ongoing brain activity and synchronizes this information with a mindfulness training app on a mobile device. This study is a pilot study to examine the feasibility and effects of neurofeedback training in a sample of young adults. Future studies may use similar protocols with people who have substance use disorders or other mental health disorders.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Feasibility Study of Mindfulness Training Transcranial Direct Current Stimulation (tDCS) in Adults With Overweight and Obesity#1100397
- Psychosocial Wellbeing Following Stroke#1125707
- The Effectiveness of a Positive Psychology App in the General Population#813989
- Brain Response to Dietary Interventions#1337635
- Craving Network Neurofeedback#810939
Record · ID 1196246
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive