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Mendeley readers
Attention Score in Context
| Title |
Modulation of the Sympatho-Vagal Balance during Sleep: Frequency Domain Study of Heart Rate Variability and Respiration
|
|---|---|
| Published in |
Frontiers in Physiology, January 2012
|
| DOI | 10.3389/fphys.2012.00045 |
| Pubmed ID | |
| Authors |
Ramona Cabiddu, Sergio Cerutti, Geoffrey Viardot, Sandra Werner, Anna M. Bianchi |
| Abstract |
Sleep is a complex state characterized by important changes in the autonomic modulation of the cardiovascular activity. Heart rate variability (HRV) greatly changes during different sleep stages, showing a predominant parasympathetic drive to the heart during non-rapid eye movement (NREM) sleep and an increased sympathetic activity during rapid eye movement (REM) sleep. Respiration undergoes important modifications as well, becoming deeper and more regular with deep sleep and shallower and more frequent during REM sleep. The aim of the present study is to assess both autonomic cardiac regulation and cardiopulmonary coupling variations during different sleep stages in healthy subjects, using spectral and cross-spectral analysis of the HRV and respiration signals. Polysomnographic sleep recordings were performed in 11 healthy women and the HRV signal and the respiration signal were obtained. The spectral and cross-spectral parameters of the HRV signal and of the respiration signal were computed at low frequency and at breathing frequency (high frequency, HF) during different sleep stages. Results attested a sympatho-vagal balance shift toward parasympathetic modulation during NREM sleep and toward sympathetic modulation during REM sleep. Spectral analysis of the HRV signal and of the respiration signal indicated a higher respiration regularity during deep sleep, and a higher parasympathetic drive was also confirmed by an increase in the coherence between the HRV and the respiration signal in the HF band during NREM sleep. Our findings about sleep stage-dependent variations in the HRV signal and in the respiratory activity are in line with previous evidences and confirm spectral analysis of the HRV and the respiration signal to be a suitable tool for investigating cardiac autonomic modulation and cardio-respiratory coupling during sleep. |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 148 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 14% |
| Student > Master | 19 | 13% |
| Other | 16 | 11% |
| Student > Ph. D. Student | 14 | 9% |
| Student > Doctoral Student | 11 | 7% |
| Other | 41 | 27% |
| Unknown | 30 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 18% |
| Engineering | 23 | 15% |
| Neuroscience | 16 | 11% |
| Sports and Recreations | 8 | 5% |
| Computer Science | 7 | 5% |
| Other | 26 | 17% |
| Unknown | 44 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2022.
All research outputs
#4,752,673
of 23,006,268 outputs
Outputs from Frontiers in Physiology
#2,418
of 13,760 outputs
Outputs of similar age
#41,236
of 245,439 outputs
Outputs of similar age from Frontiers in Physiology
#53
of 309 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 245,439 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.