Evidence map›Paper›PMID 41225343›Full record

ArticleBMC neuroscience2025

Changes in EEG and ECG signal connectivity during tilt table testing in healthy young adults without syncope.

Anastasiya Runnova, Maxim Zhuravlev, Mikhail Novikov, Aina Borodusova, Anton R Kiselev

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In one paragraph

Article in BMC neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anastasiya RunnovaNational Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia.
Maxim ZhuravlevNational Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia.
Mikhail NovikovNational Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia.
Aina BorodusovaSaratov State Medical University, Saratov, Russia.
Anton R KiselevNational Medical Research Center for Therapy and Preventive Medicine, Moscow, Russia. antonkis@list.ru.

Funding

Russian Science Foundation 24-24-00333
6 · The paper itself

Abstract

introductionTilt table testing (TTT) has been used for over fifty years in clinical and basic medicine to study the adaptation of heart rate and blood pressure to changes in body position. In the area of ​​studying local features of electroencephalogram (EEG) and electrocardiogram (ECG) signal synchronization, there is a lack of research devoted to the precise quantitative mathematical analysis of electrophysiological signals recorded during TTT. Furthermore, most studies related to brain activity analysis focus on the development of syncope.

methodsThis study analyzed electrophysiological signals (EEG and ECG) in 19 healthy men. The TTT procedure was performed in a gentle mode with a slight elevation (45°) of the volunteers after 15 min of horizontal positioning. This procedure eliminated the risk of syncope. Time-frequency analysis of the EEG was performed using a continuous wavelet transform. Synchronization of electrophysiological signals in the brain and cardiac activity was assessed using wavelet bicoherence, assessed pairwise between ECG and EEG signals.

resultsEEG activity in the brain remained unchanged before and after verticalization of the volunteers. Heart rate increased, on average, from 1.0 to 1.05 Hz in the horizontal position to 1.3-1.4 Hz in the vertical position (p < 0.005). Significant changes in synchronization were demonstrated before and after verticalization of the volunteers. Most interesting is the increase in ECG and EEG synchronization in the low-frequency range [0.25; 0.75] Hz in response to the tilt table test. Such changes in synchronization can be interpreted in the context of the activation of the human body's adaptive responses during this test.

conclusionThis study results provide a basis for understanding the physiological relationship between the cardiovascular system and brain activity during the standing position test (SPT) without syncope. These results suggest that low-frequency (below the baseline heart rate) components of P-QRS-T complex variability may be a promising approach for studying neurocardiac interactions.

Indexed as

BrainElectrocardiographyElectroencephalographyTilt-Table TestAdultHeart RateHumansMalePostureYoung AdultElectrocardiography (ECG)Electroencephalography (EEG)Neurocardiac interactionTilt table testWavelet bicoherence

Identifiers

PMID41225343
PMCPMC12613358

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.