Respiratory and heart rate components of attention.
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The association between cardiac physiology and heightened attention suggests that extreme, even painful, rituals are particularly effective at honing attention to the situation revolving around the event.
“Moreover, the association between cardiac physiology and heightened attention (e.g., Porges, 1992;Porges & Raskin, 1969) suggests that extreme, even painful, rituals are particularly effective at honing attention to the situation revolving around the event.”
From The Psychology of Rituals: An Integrative Review and Process-Based Framework (2018) · cites this paper as Porges & Raskin, 1969
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References 16 · Cited by 173
- Authors
- Porges, S. W., & Raskin, D. C.
- Affiliations
- Michigan State University (US)
- ORCID
- Porges, Stephen W.
- Venue
- Journal of Experimental Psychology
- Published
- 1969
- Volume
- 81
- Issue
- 3
- Pages
- 497-503
- ISSN
- 0022-1015 (ISSN-L)
- OpenAlex
- W2025667666
- Cited by
- 173
- References
- 16
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 7 · 2020: 4 · 2019: 5 · 2018: 8 · 2017: 8 · 2016: 4 · 2015: 4 · 2014: 3 · 2013: 4 · 2012: 1
- FWCI
- 3.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- attention, respiratory rhythm, heart rate, autonomic nervous system
- MeSH terms
- Adult, Attention, Heart Rate, Humans, Male, Respiration, Respiratory Function Tests
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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