Determining the Individual Theta Frequency for Associative Memory Targeted Personalized Transcranial Brain...

Area of Science:

• Neuroscience
• Cognitive Science
• Biomedical Engineering

Background:

• Non-invasive brain stimulation (NIBS) shows promise for treating associative memory (AM) impairments.
• Current NIBS protocols often use a one-size-fits-all approach, leading to inconsistent therapeutic outcomes.
• Personalized NIBS, guided by electroencephalography (EEG), is needed to improve focality and effectiveness.

Purpose of the Study:

• To develop and validate a method for extracting individual theta-band frequency (ITF) from EEG.
• To enable personalized frequency-modulated NIBS protocols for AM neuromodulation.
• To address the challenge of accurately identifying individual theta frequencies.

Main Methods:

• Recorded EEG signals during an associative memory task.
• Developed a novel approach to extract individual theta-band frequency (ITF).
• Evaluated the method's success rate, reliability, and variability compared to existing techniques.

Main Results:

• The proposed method achieved a 93% success rate in extracting ITF.
• Demonstrated good reliability and captured the full range of individual frequency variability.
• The extracted ITFs can serve as input for personalized NIBS.

Conclusions:

• The developed method offers a reliable way to identify individual theta-band frequencies from EEG.
• This facilitates personalized frequency-modulated NIBS, such as tACS and otDCS, for enhanced AM neuromodulation.
• Personalized NIBS protocols hold potential for more effective treatment of memory impairments.