Respiration shapes response speed and accuracy with a systematic time lag

Sensory-cognitive functions are intertwined with physiological processes such as the heart beat or respiration. For example, we tend to align our respiratory cycle to expected events or actions. This happens during sports but also in computer-based tasks and systematically structures respiratory phase around relevant events. However, studies also show that trial-by-trial variations in respiratory phase shape brain activity and the speed or accuracy of individual responses. We show that both phenomena-the alignment of respiration to expected events and the explanatory power of the respiratory phase on behaviour-co-exist. In fact, both the average respiratory phase of an individual relative to the experimental trials and trial-to-trial variations in respiratory phase hold significant predictive power on behavioural performance, in particular for reaction times. This co-modulation of respiration and behaviour emerges regardless of whether an individual generally breathes faster or slower and is strongest for the respiratory phase about 2 s prior to participant's responses. The persistence of these effects across 12 datasets with 277 participants performing sensory-cognitive tasks confirms the robustness of these results, and suggests a profound and time-lagged influence of structured respiration on sensory-motor responses.

Authors

Institutions

Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2025-04-01
DOI
https://doi.org/10.1098/rspb.2024.2566
Citations
9
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
12.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Respiration shapes response speed and accuracy with a systematic time lag

Christoph Kayser, Cosima Harting, Lisa Stetza, Lena Hehemann
9 citations
Proceedings of the Royal Society B Biological Sciences
Neural dynamics and brain function
12.88
article

Respiration shapes response speed and accuracy with a systematic time lag

Christoph Kayser, Cosima Harting, Lisa Stetza, Lena Hehemann
article en
9 citations

Abstract

Sensory-cognitive functions are intertwined with physiological processes such as the heart beat or respiration. For example, we tend to align our respiratory cycle to expected events or actions. This happens during sports but also in computer-based tasks and systematically structures respiratory phase around relevant events. However, studies also show that trial-by-trial variations in respiratory phase shape brain activity and the speed or accuracy of individual responses. We show that both phenomena-the alignment of respiration to expected events and the explanatory power of the respiratory phase on behaviour-co-exist. In fact, both the average respiratory phase of an individual relative to the experimental trials and trial-to-trial variations in respiratory phase hold significant predictive power on behavioural performance, in particular for reaction times. This co-modulation of respiration and behaviour emerges regardless of whether an individual generally breathes faster or slower and is strongest for the respiratory phase about 2 s prior to participant's responses. The persistence of these effects across 12 datasets with 277 participants performing sensory-cognitive tasks confirms the robustness of these results, and suggests a profound and time-lagged influence of structured respiration on sensory-motor responses.

Proceedings of the Royal Society B Biological SciencesVol. 292(2044)
Bielefeld University (DE)
Openalex Percentile: Top 1%
Neural dynamics and brain function
12.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.