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Brain and brain-heart Granger causality during wakefulness and sleep
Helmi Abdalbari1, Mohammad Durrani1, Shivam Pancholi1
1Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia, Cyprus.
Granger Causality (GC) analysis reveals distinct brain-brain and brain-heart interactions during wakefulness and sleep. This method successfully captures varying physiological mechanisms across different sleep stages.
Area of Science:
- Neuroscience
- Cardiology
- Sleep Medicine
Background:
- Understanding brain-brain and brain-heart interactions is crucial for sleep research.
- Previous methods have limitations in capturing dynamic physiological changes during sleep stages.
Purpose of the Study:
- To explore the application of Granger Causality (GC) for analyzing brain-brain and brain-heart interactions during wakefulness and sleep.
- To identify differences in connectivity patterns across various sleep stages.
Main Methods:
- Utilized electroencephalogram (EEG) and electrocardiogram (ECG) data from polysomnographic recordings of patients with apnea.
- Applied GC to 4-second non-overlapping segments of EEG and ECG data.
- Calculated differences in GC between wakefulness and each sleep stage (1, 2, 3, REM).
Main Results:
- Confirmed the significance of fronto-posterior connectivity during wakefulness and sleep.
- Revealed differences in ipsilateral and contralateral brain connectivity mechanisms between states.
- Demonstrated bidirectional brain-heart connections, predominantly from brain to heart.
Conclusions:
- Granger Causality is a viable method for analyzing complex sleep data.
- GC effectively captures distinct physiological mechanisms associated with wakefulness and different sleep stages.
- The study highlights dynamic changes in brain-brain and brain-heart communication throughout the sleep cycle.
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