Kassinopoulos, Michalis;
Rolandi, Nicolo;
Alphan, Laren;
Harper, Ronald M;
Oliveira, Joana;
Scott, Catherine;
Kozak, Lajos R;
... Diehl, Beate; + view all
(2025)
Brain connectivity correlates of breathing and cardiac patterns in epilepsy: A study including SUDEP cases.
Imaging Neuroscience
, 3
, Article IMAG.a.918. 10.1162/IMAG.a.918.
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Abstract
Sudden unexpected death in epilepsy (SUDEP) is the leading cause of premature mortality among people with epilepsy. Evidence from witnessed and monitored SUDEP cases indicates seizure-induced cardiovascular and respiratory failures; yet, the underlying mechanisms remain obscure. SUDEP occurs often during the night and early morning hours, suggesting that sleep or circadian rhythm-induced changes in physiology contribute to the fatal event. Restingstate functional MRI (fMRI) studies have found altered functional connectivity between brain structures involved in cardiorespiratory regulation in later SUDEP cases and in individuals at high risk of SUDEP. However, those connectivity findings have not been related to changes in cardiovascular or respiratory patterns. Here, we compared fMRI patterns of brain connectivity associated with regular and irregular cardiorespiratory rhythms in SUDEP cases with those of living epilepsy patients of varying SUDEP risk and healthy controls. We analysed resting-state fMRI data from 98 patients with epilepsy (9 who subsequently succumbed to SUDEP, 43 categorized as low SUDEP risk (no tonic– clonic seizures (TCS) in the year preceding the fMRI scan), and 46 as high SUDEP risk (>3 TCS in the year preceding the scan)), and 25 healthy controls. The global signal amplitude (GSA), defined as the moving standard deviation of the fMRI global signal, was used to identify periods with regular (“low state”) and irregular (“high state”) cardiorespiratory rhythms. Correlation maps were derived from seeds in 12 regions with a key role in autonomic or respiratory regulation for the low and high states. Following principal component analysis, component weights were compared between the groups. We found widespread alterations in connectivity of precuneus/posterior cingulate cortex in epilepsy compared with controls in the low state (regular cardiorespiratory activity). In the low state, and to a lesser degree in the high state, reduced anterior insula connectivity (mainly with anterior and posterior cingulate cortex) in epilepsy appeared, relative to healthy controls. For SUDEP cases, the insula connectivity differences were inversely related to the interval between the fMRI scan and death. The findings suggest that anterior insula connectivity measures may provide a biomarker of SUDEP risk. The neural correlates of autonomic brain structural activity associated with different cardiorespiratory rhythms may shed light on the mechanisms underlying the fatal event in SUDEP.
| Type: | Article |
|---|---|
| Title: | Brain connectivity correlates of breathing and cardiac patterns in epilepsy: A study including SUDEP cases |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1162/IMAG.a.918 |
| Publisher version: | https://doi.org/10.1162/IMAG.a.918 |
| Language: | English |
| Additional information: | © The Author(s), 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | State-dependent functional connectivity, sympathovagal balance, SUDEP, anterior insula, breathing disturbances, cardiac arrhythmia |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10219048 |
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