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Mutual information of multiple rhythms in schizophrenia
Antonio Ibáñez-Molina1, Yasmina Crespo Cobo2,3, Maria Felipa Soriano Peña4
1Department of Psychology, University of Jaén, Jaén, Spain.
Brain Structure & Function
|December 13, 2023
Summary
Schizophrenia patients exhibit heightened interactions between slow and fast brain rhythms (theta, alpha, gamma). This study used information theory to reveal complex neural coupling, potentially linked to Default Mode Network activity.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychiatry
Background:
- Cortical rhythm interactions are crucial for cognitive functions.
- Schizophrenia may involve disrupted interplay between slow and fast brain oscillations.
Purpose of the Study:
- Investigate multiple oscillatory interactions in schizophrenia using information theory.
- Analyze simultaneous interactions between theta, alpha, and gamma rhythms.
Main Methods:
- Calculated Mutual Information of Multiple Rhythms (MIMR) from resting-state EEG data.
- Focused on interactions between theta, alpha, and gamma frequency bands.
Main Results:
- MIMR was generally higher in schizophrenia patients compared to controls.
- Specifically, alpha-gamma and theta-gamma couplings showed increased interactions.
Conclusions:
- Increased coupling between slow and fast rhythms in schizophrenia suggests complex Default Mode Network (DMN) interactions.
- Findings may relate to hyperactivation of internally guided cognition in schizophrenia.
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