| Title |
Vagal tone and selective attention
|
|---|---|
| Published in |
Psychophysiology, February 2013
|
| DOI | 10.1111/psyp.12029 |
| Pubmed ID | |
| Authors |
Gewnhi Park, Michael W. Vasey, Jay J. Van Bavel, Julian F. Thayer |
| Abstract |
We examined whether cardiac vagal tone (indexed by heart rate variability, HRV) was associated with the functioning of selective attention under load. Participants were instructed to detect a target letter among letter strings superimposed on either fearful or neutral distractor faces. Under low load, when letter strings consisted of six target letters, there was no difference between people with high and low HRV on task performance. Under high load, when letter strings consisted of one target letter and five nontarget letters, people with high HRV were faster in trials with neutral distractors, but not with fearful distractors. However, people with low HRV were slower in trials with both fearful and neutral distractors. The current research suggests cardiac vagal tone is associated with successful control of selective attention critical for goal-directed behavior, and its impact is greater when fewer cognitive resources are available. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| Russia | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 134 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 29% |
| Student > Master | 21 | 15% |
| Researcher | 15 | 11% |
| Student > Doctoral Student | 11 | 8% |
| Student > Bachelor | 10 | 7% |
| Other | 21 | 15% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 73 | 53% |
| Medicine and Dentistry | 14 | 10% |
| Social Sciences | 5 | 4% |
| Neuroscience | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 12 | 9% |
| Unknown | 26 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 April 2013.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Psychophysiology
#1,703
of 2,063 outputs
Outputs of similar age
#157,834
of 204,720 outputs
Outputs of similar age from Psychophysiology
#14
of 17 outputs
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.