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Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
Published on: May 12, 2014
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The less complex temporal patterns of resting‑state EEG activity, the lower the visual temporal order threshold.
Monika Lewandowska1, Krzysztof Tołpa2, Marcin Hajnowski3
1Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Faculty of Philosophy and Social Sciences, Nicolaus Copernicus University in Torun, Toruń, Poland. mlewando@umk.pl.
Acta Neurobiologiae Experimentalis
|January 15, 2024
Summary
Resting-state EEG signal complexity, measured by multivariate MultiScale Entropy (mMSE), is linked to how well individuals perceive the order of visual events. Lower complexity in brain activity may enhance temporal order perception.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychophysics
Background:
- Perceiving the temporal order of events is crucial for daily activities like listening to music or understanding speech.
- Spontaneous brain activity, particularly resting-state electroencephalography (rsEEG), may reflect the neural underpinnings of such perceptual abilities.
Purpose of the Study:
- To investigate the relationship between the complexity of resting-state EEG signals and the ability to perceive the temporal order of visual stimuli.
- To determine if specific features of EEG signal complexity correlate with visual temporal order threshold (TOT).
Main Methods:
- Healthy adolescents and young adults underwent a psychophysical task to measure their visual temporal order threshold (TOT).
- Eyes-closed resting-state EEG (rsEEG) data were collected and analyzed using the multivariate MultiScale Entropy (mMSE) algorithm.
- Key mMSE features, including Area Under Curve (AUC), MaxSlope, and Average Entropy (AvgEnt), were extracted from different electrode regions.
Main Results:
- Higher TOT was associated with greater AUC and AvgEnt values in central, left, and right posterior brain regions, and higher AUC in the right middle region.
- The strongest correlations between EEG complexity and TOT were observed for midline electrodes (Fz, Cz, Pz, Oz).
- No significant correlation was found between MaxSlope values and TOT.
Conclusions:
- This study provides the first evidence linking spontaneous EEG signal complexity to the perception of temporal order for rapidly presented stimuli.
- Findings suggest that lower total complexity and coarse-grained entropy in rsEEG signals may be beneficial for visual temporal order judgments.
