Analysis of an Integrated QEEG-Neurofeedback System Utilizing Active Stimuli for Non-Pharmacological Intervention in Enhancing Neurobehavioral Function

Pradipta Mahatidana; Eka Musridharta; Basari

doi:10.62146/ijecbe.v2i2.47

Authors

Pradipta Mahatidana Universitas Indonesia
Eka Musridharta National Brain Center
Basari Universitas Indonesia https://orcid.org/0000-0002-5608-0893

DOI:

https://doi.org/10.62146/ijecbe.v2i2.47

Keywords:

Neurobehavior, Neurofeedback, Quantitative EEG, Stochastic Resonance

Abstract

Quantitative Electroencephalogram (QEEG) and Neurofeedback (NF) are employed in the diagnosis and treatment of neurobehavioral deficits associated with various clinical conditions. These approaches enable the exploration of EEG usage within the context of neurobehavioral electrophysiology. This study aims to elucidate the fundamental evidence supporting NF and to outline strategies for its further development and application in ameliorating neurobehavioral deficits. Numerous research studies have demonstrated the efficacy of NF in enhancing neurobehavioral functions, including attention, language, memory, visuospatial abilities, and executive function. This study intends to develop an NF system that includes the establishment of a robust approach to QEEG transformation and database. The closed-loop QEEG-NF system under development incorporates active visual and auditory stimuli that leverage stochastic phenomena. The efficacy of the QEEG NF treatment was confirmed with a statistically significant increase in alpha brain wave percentages post-treatment (p = 0.018), indicating that the system effectively enhances alpha brain wave production.

Author Biographies

Pradipta Mahatidana, Universitas Indonesia

Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia

Eka Musridharta, National Brain Center

Department of Neuro Intensive Care Unit, National Brain Center

Basari, Universitas Indonesia

Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia

Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia

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