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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
Integrated real-time neurofeedback system to raise the frontal lobe activity: design and implementation
Yeongjoon Gil1, Gang Li, Jungtae Lee
1Department of Computer Science and Engineering, Pusan National University, Pusan, Korea. kyzoon@pusan.ac.kr
Summary
This study developed a portable EEG-assisted neurofeedback system to monitor and manage frontal lobe activity, aiding in early detection and easing of abnormal actions for societal benefit.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Clinical Psychology
Background:
- Abnormal actions significantly impact society, often linked to reduced frontal lobe activity.
- Current identification and treatment systems for abnormal actions are insufficient globally.
- Advancements in brain science highlight the role of frontal lobe function.
Purpose of the Study:
- To develop an integrated, portable, real-time neurofeedback system using electroencephalography (EEG).
- To enable individuals to self-regulate frontal lobe activity.
- To facilitate early detection and management of potential abnormal actions.
Main Methods:
- Development of a novel EEG-assisted real-time neurofeedback system.
- Algorithm design and validation using functional magnetic resonance imaging (fMRI).
- Experimental verification of subjects' ability to control frontal lobe activity.
Main Results:
- The developed system effectively allowed subjects to monitor and control their frontal lobe activity.
- fMRI experiments confirmed the system's performance and efficacy.
- Demonstrated potential for early detection and mitigation of abnormal actions.
Conclusions:
- The portable EEG-based neurofeedback system offers a viable tool for managing frontal lobe activity.
- This technology can aid in the early detection and alleviation of behaviors associated with abnormal actions.
- The system holds promise for improving individual well-being and societal outcomes.