Time-variant coherence between heart rate variability and EEG activity in epileptic patients: an advanced coupling analysis between physiological networks
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Time-variant coherence analysis between the heart rate variability (HRV) and the channel-related envelopes of adaptively selected EEG components was used as an indicator for the occurrence of (correlative) couplings between the central autonomic network (CAN) and the epileptic network before, during and after epileptic seizures. Two groups of patients were investigated, a group with left and a group with right hemispheric temporal lobe epilepsy. The individual EEG components were extracted by a signal-adaptive approach, the multivariate empirical mode decomposition, and the envelopes of each resulting intrinsic mode function (IMF) were computed by using Hilbert transform. Two IMFs, whose envelopes were strongly correlated with the HRV's low-frequency oscillation (HRV-LF; approximate to 0.1 Hz) before and after the seizure were identified. The frequency ranges of these IMFs correspond to the EEG delta-band. The time-variant coherence was statistically quantified and tensor decomposition of the time-frequency coherence maps was applied to explore the topography-time-frequency characteristics of the coherence analysis. Results allow the hypothesis that couplings between the CAN, which controls the cardiovascular-cardiorespiratory system, and the 'epileptic neural network' exist. Additionally, our results confirm the hypothesis of a right hemispheric lateralization of sympathetic cardiac control of the HRV-LF.
Details
Original language | English |
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Article number | 115012 |
Number of pages | 25 |
Journal | New journal of physics |
Volume | 16 |
Publication status | Published - 11 Nov 2014 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
WOS | 000346761400003 |
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ORCID | /0000-0001-8264-2071/work/142254064 |
Keywords
ASJC Scopus subject areas
Keywords
- network coupling, epilepsy, empirical mode decomposition, tensor decomposition, time-variant coherence, BIOMEDICAL SIGNAL ANALYSIS, FREQUENCY TECHNIQUES, PHASE-TRANSITIONS, TUTORIAL, TERM, SIMILARITIES, METAANALYSIS, PREMATURE, CHILDREN, SLEEP