The Relationship Between Heart Rate Variability and Electroencephalography Functional Connectivity Variability Is Associated With Cognitive Flexibility
Metadatos
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Frontiers Media
Materia
Resting-state Sample entropy Variability of functional connectivity Cognitive flexibility HRV EEG
Fecha
2019-02-25Referencia bibliográfica
Alba G, Vila J, Rey B, Montoya P and Muñoz MÁ (2019) The Relationship Between Heart Rate Variability and Electroencephalography Functional Connectivity Variability Is Associated With Cognitive Flexibility. Front. Hum. Neurosci. 13:64.
Patrocinador
This work was supported by the Spanish Ministry of Economy and Competitiveness (PSI2014-57231-R). Research was funded by Grant Nos. PSI2014-57231-R and PSI2017-88388-C4-3-R from Spanish Ministry of Science.Resumen
The neurovisceral integration model proposes a neuronal network that is related to
heart rate activity and cognitive performance. The aim of this study was to determine
whether heart rate variability (HRV) and variability in electroencephalographic (EEG)
functional connectivity in the resting state are related to cognitive flexibility. Thirtyeight
right-handed students completed the CAMBIOS test, and their heart and EEG
activity was recorded during 6 min in the resting state with their eyes open. We
calculated correlations, partial correlations and multiple linear regressions among HRV
indices, functional brain connectivity variability and CAMBIOS scores. Furthermore, the
sample was divided into groups according to CAMBIOS performance, and one-way
ANOVA was applied to evaluate group differences. Our results show direct and inverse
correlations among cognitive flexibility, connectivity (positive and negative task networks)
and heartbeat variability. Partial correlations and multiple linear regressions suggest
that the relation between HRV and CAMBIOS performance is mediated by neuronal
oscillations. ANOVA confirms that HRV and variability in functional brain connectivity is
related to cognitive performance. In conclusion, the levels of brain signal variability might
predict cognitive flexibility in a cognitive task, while HRV might predict cognitive flexibility
only when it is mediated by neuronal oscillations.