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Single-Trial EEG Connectivity of Default Mode Network Before and During Encoding Predicts Subsequent Memory Outcome
Dahye Kim1, Woorim Jeong2, June Sic Kim3
1Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.
Frontiers in Systems Neuroscience
|December 17, 2020
Summary
Predicting memory success is possible using brain network connectivity. Functional connectivity in the beta frequency band during encoding, especially involving the dorsomedial prefrontal cortex, accurately predicts memory outcomes.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Memory formation involves specific brain network activity.
- Prestimulus and encoding brain activity significantly impact memory success.
- Previous memory prediction methods focused on spectral power or event-related potentials.
Purpose of the Study:
- To investigate the predictive power of functional connectivity for subsequent memory outcomes.
- To explore the role of the default mode network in memory encoding.
- To compare prediction accuracy across different frequency bands and task phases.
Main Methods:
- Acquired electroencephalography (EEG) signals during an associative memory task.
- Estimated cross-mutual information within the default mode network.
- Utilized support vector machine classifiers with connectivity features for prediction.
Main Results:
- Achieved 80.83% accuracy predicting memory success using beta-band (13-30 Hz) connectivity during encoding.
- Prestimulus beta-band connectivity yielded 72.45% accuracy.
- Dorsomedial prefrontal cortex connectivity linked to successful encoding; posterior cingulate cortex connectivity linked to memory failure.
Conclusions:
- Single-trial functional connectivity can accurately predict subsequent memory outcomes.
- Beta-band functional connectivity within the default mode network is a strong predictor of memory performance.
- Specific brain regions' connectivity patterns differentiate successful from failed memory encoding.
