Related Experiment Video
Updated: Jan 16, 2026
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
Published on: March 10, 2017
Defining individualized theta frequency for memory modulation: A machine learning approach across brain states and
Tuba Aktürk1, Emine Elif Tülay2, Bahar Güntekin3
1Section Brain Stimulation and Cognition, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands; Neuroscience Research Center, Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Türkiye.
Individualized theta frequency (ITF) in specific brain states and regions predicts memory performance. Global task-state ITFs best distinguished performance, with resting-state left posterior parietal ITF showing domain-general memory capacity.
Area of Science:
- Neuroscience
- Cognitive Science
- Brain Stimulation
Background:
- Transcranial alternating current stimulation (tACS) shows potential for memory modulation.
- Individual variability exists in optimal stimulation frequencies for tACS.
- Optimal brain states ('when') and cortical regions ('where') for memory-related theta frequencies remain unclear.
Purpose of the Study:
- Identify individualized theta frequency (ITF) parameters predictive of episodic memory modulation.
- Utilize a machine learning approach to analyze EEG data and identify key ITF predictors.
- Investigate the influence of brain state and cortical region on memory-related theta frequencies.
Main Methods:
- Collected EEG data from 46 healthy young adults during rest and visual/auditory memory tasks.
- Extracted ITFs (peak theta frequencies) from 18 electrode sites and global average across resting, encoding, and delay states.
- Employed K-means clustering to group participants by ITF performance, followed by correlation and Bayesian regression analyses.
Main Results:
- Global task-state ITFs effectively distinguished between high- and low-performing groups, irrespective of task modality.
- Resting-state left posterior parietal (LPP) ITF showed a negative correlation with both visual and auditory memory performance.
- Encoding-related left temporoparietal and delay-related left central ITFs were associated with auditory memory performance.
Conclusions:
- Specificity of 'when' (brain state) and 'where' (cortical region) is crucial for individualized tACS protocols.
- Resting-state LPP ITF may serve as a biomarker for memory capacity and tailoring tACS interventions.
- Task-specific ITFs highlight potential domain-general and domain-specific neural mechanisms underlying memory.
