Search from over 60,000 research works

Advanced Search

Brain and brain-heart Granger causality during wakefulness and sleep

[thumbnail of Open access]
Preview
fnins-16-927111.pdf - Published Version (2MB) | Preview
Available under license: Creative Commons Attribution
[thumbnail of Nicolaou_etal_JULY2022_FINAL.pdf]
Nicolaou_etal_JULY2022_FINAL.pdf - Accepted Version (313kB)
Restricted to Repository staff only
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Abdalbari, H., Durrani, M., Pancholi, S., Patel, N., Nasuto, S. J. orcid id iconORCID: https://orcid.org/0000-0001-9414-9049 and Nicolaou, N. (2022) Brain and brain-heart Granger causality during wakefulness and sleep. Frontiers in Neuroscience, 16. 927111. ISSN 1662-453X doi: 10.3389/fnins.2022.927111

Abstract/Summary

In this exploratory study we apply Granger Causality (GC) to investigate the brain-brain and brain-heart interactions during wakefulness and sleep. Our analysis includes electroencephalogram (EEG) and electrocardiogram (ECG) data during all-night polysomnographic recordings from volunteers with apnea, available from the Massachusetts General Hospital’s (MGH) Computational Clinical Neurophysiology Laboratory (CCNL) and the Clinical Data Animation Laboratory (CDAC). The data is manually annotated by clinical staff at the MGH in 30 second contiguous intervals (wakefulness and sleep stages 1, 2, 3 and rapid eye movement (REM)). We applied GC to 4-s non-overlapping segments of available EEG and ECG across all-night recordings of 50 randomly chosen patients. To identify differences in GC between the different sleep stages, the GC for each sleep stage was subtracted from the GC during wakefulness. Positive (negative) differences indicated that GC was greater (lower) during wakefulness compared to the specific sleep stage. The application of GC to study brain-brain and brain-heart bidirectional connections during wakefulness and sleep confirmed the importance of fronto-posterior connectivity during these two states, but has also revealed differences in ipsilateral and contralateral mechanisms of these connections. It has also confirmed the existence of bidirectional brain-heart connections that are more prominent in the direction from brain to heart. Our exploratory study has shown that GC can be successfully applied to sleep data analysis and captures the varying physiological mechanisms that are related to wakefulness and different sleep stages.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/107254
Item Type Article
Refereed Yes
Divisions Interdisciplinary Research Centres (IDRCs) > Centre for Integrative Neuroscience and Neurodynamics (CINN)
Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher Frontiers
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar