Rhythm of Your Breath Controls Reaction Time

 Your competent? doctor created a breathing protocol years ago based on these books, right? 

Like:

'Breath: The New Science of a Lost Art' by James Nestor. Published 2020

Or;

'The Oxygen Advantage: Simple, Scientifically Proven Breathing Techniques to Help You Become Healthier, Slimmer, Faster, and Fitter' by Patrick McKeown. Published 2016

Or should you be doing fast breathing in

Creation of nitric oxide via Breath of Fire  February 2014 

And why doesn't your doctor know a damn thing about a breathing protocol?

Your doctor has had years to know about this. Are you giving them a pass on being incompetent? So, you DON'T have a functioning stroke doctor or hospital, do you?

Oh NO, INCOMPETENCE REIGNED, nothing doing! What do you do? Call the president and demand some competence in the hospital! That means EXACT 100% RECOVERY PROTOCOLS! 

Rhythm of Your Breath Controls Reaction Time

Summary:

Neuroscientists have discovered that human reaction speed changes across the respiratory cycle, with reaction times averaging 41 milliseconds faster during exhalation than inhalation. The study represents the first continuous measurement of cognitive response speeds across all breathing phases, including breath pauses, revealing that bodily rhythms actively modulate sensory-motor processing.

Key Facts:

• The Exhalation Advantage: Participants responded to unexpected visual stimuli an average of 41 milliseconds faster during exhalation than during inhalation, alongside a 21-millisecond advantage during post-breath pauses.
• Continuous Respiration Tracking: The investigation marks the first experiment to evaluate psychomotor vigilance continuously across all respiratory phases, linking airflow monitoring to millisecond-level motor outputs.
• Brain Oscillations Synchrony: Researchers suggest the effect is driven by neurophysiological efficiency, building on evidence that fundamental cortical oscillations naturally phase-lock with nasal breathing rhythms.

Source: Northwestern University

Whether an Olympic swimmer reacts to the crack of a starting pistol or a highway driver slams on the brakes to avoid an oncoming crash, a fraction of a second often determines victory, defeat, or survival. At 60 mph, a car travels nearly four feet in just 40 milliseconds, a brief window of time where sensory processing speed is paramount.

Now, a study led by neuroscientists at Northwestern University reveals that this critical response margin is tied directly to the rhythm of our lungs.

Published in iScience, the research demonstrates that human response times fluctuate reliably across the breathing cycle. When presented with rapid visual prompts, people react significantly faster when exhaling than when inhaling, establishing a functional bridge between autonomic respiratory mechanics and conscious motor readiness.

“By using a tangible and easy to understand task, we were able to show the relationship between respiration and cognition, which I hope people in a range of fields will find application for,” said lead author Erika M. Yamazaki, Ph.D., a neuroscientist and former member of Northwestern’s Cognitive Neuroscience Laboratory. “Study of the brain and body connection is still a new field of research, which makes the study findings all the more exciting.”

Mapping Psychomotor Vigilance Across Breaths

To measure how breathing modulates executive reflexes, the researchers recruited 35 healthy adult participants aged 18 to 33 to perform the Psychomotor Vigilance Task (PVT)—a standard clinical and cognitive measure of sustained attention and reaction latency.

During the assessment, participants monitored a display screen and pressed the space bar as rapidly as possible whenever a red square turned yellow. Throughout the trials, subjects wore a nasal cannula-style airflow sensor positioned directly under their nostrils to capture real-time respiratory phases with high temporal resolution. Each participant completed testing protocols twice: once before and once after an in-lab sleep period (either a daytime nap or an eight-hour overnight rest).

By correlating thousands of millisecond-level key presses with simultaneous airflow waveforms, the team identified distinct performance variations:

• Exhalation vs. Inhalation: Motor responses during active exhalation were an average of 41 milliseconds (approximately 1/25th of a second) faster than responses executed during active inhalation.
• Breath Pauses: The brief periods of breath retention between inhalation and exhalation also maintained an advantage, clocking in 21 milliseconds faster than inhalation phases.

“This study documents an important link between respiration and the brain systems for responding to environmental events,” said senior author Ken Paller, Ph.D., the James Padilla Professor of Psychology at Northwestern University. “We don’t yet know exactly how they are linked, but we suspect neurophysiological efficiency, because other studies have shown that various brain oscillations are synchronized with the rhythms of one’s breathing.”

Respiratory Phase-Locking and Sleep Engineering

The finding aligns with growing neuroimaging evidence showing that nasal respiration entrains slow-wave neural oscillations across diverse brain networks, including the olfactory bulb, piriform cortex, amygdala, and hippocampus. During inhalation, sensory inputs and emotional memory consolidation undergo specific neural gating; during exhalation and baseline pauses, cortical networks may optimize motor preparation pathways.

Beyond optimizing athletic reaction starts or high-speed driving reflexes, the researchers emphasize that mapping the respiration-cognition axis has crucial clinical implications for sleep medicine.

Paller’s laboratory is currently expanding on these findings through an NIH-funded initiative led by Yamazaki that explores the cognitive fallout of obstructive sleep apnea, a widespread, underdiagnosed condition where repeated breathing cessations fragment sleep architecture and erode next-day mental capacity.

By detailing how respiratory rhythms modulate cortical activity during both waking and resting states, the investigators aim to pioneer noninvasive “sleep engineering” techniques that stabilize breathing patterns and preserve long-term cognitive health.

Editorial Notes:

• This article was edited by a Neuroscience News editor.
• Journal paper reviewed in full.
• Additional context added by our staff.

About this Cognitive Neuroscience Research:

• Media Contact: Stephanie Kulke
• Source: Northwestern University
• Image Credit: Image credited to Neuroscience News
• Original Research is Open Access: iScience (Sept 22, 2026). “Response speed is modulated by respiratory phase.” Authors: Erika M. Yamazaki and Ken A. Paller.
• DOI: 10.1016/j.isci.2026.117535

Modulating heart rate oscillation affects plasma amyloid beta and tau levels in younger and older adults

What does your doctor think? Should you be doing slow breathing as the book

'Breath: The New Science of a Lost Art' by James Nestor

says?

5 Ways To Improve Your Breathing with James Nestor

Or should you be doing fast breathing in

Creation of nitric oxide via Breath of Fire  February 2014 

And why doesn't your doctor know a damn thing about a breathing protocol?

 

Modulating heart rate oscillation affects plasma amyloid beta and tau levels in younger and older adults

• Jungwon Min,
• Jeremy Rouanet,
• Alessandra Cadete Martini,
• Kaoru Nashiro,
• Hyun Joo Yoo,
• Shai Porat,
• Christine Cho,
• Junxiang Wan,
• Steve W. Cole,
• Elizabeth Head,
• Daniel A. Nation,
• Julian F. Thayer &
• Mara Mather 

Scientific Reports volume 13, Article number: 3967 (2023) Cite this article

• 1366 Accesses

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Abstract

Slow paced breathing via heart rate variability (HRV) biofeedback stimulates vagus-nerve pathways that counter noradrenergic stress and arousal pathways that can influence production and clearance of Alzheimer's disease (AD)-related proteins. Thus, we examined whether HRV biofeedback intervention affects plasma Αβ40, Αβ42, total tau (tTau), and phosphorylated tau-181 (pTau-181) levels. We randomized healthy adults (N = 108) to use slow-paced breathing with HRV biofeedback to increase heart rate oscillations (Osc+) or to use personalized strategies with HRV biofeedback to decrease heart rate oscillations (Osc−). They practiced 20–40 min daily. Four weeks of practicing the Osc+ and Osc− conditions produced large effect size differences in change in plasma Aβ40 and Aβ42 levels. The Osc+ condition decreased plasma Αβ while the Osc− condition increased Αβ. Decreases in Αβ were associated with decreases in gene transcription indicators of β-adrenergic signaling, linking effects to the noradrenergic system. There were also opposing effects of the Osc+ and Osc− interventions on tTau for younger adults and pTau-181 for older adults. These results provide novel data supporting a causal role of autonomic activity in modulating plasma AD-related biomarkers.

Trial registration: NCT03458910 (ClinicalTrials.gov); first posted on 03/08/2018.

Introduction

Alzheimer’s disease (AD) incidence rates increase exponentially with age¹. Why does aging increase AD risk so much? One potentially critical factor has been given little attention. During aging, the balance between the sympathetic and parasympathetic branches of the autonomic nervous system shifts^2,3. As people get older, parasympathetic activity declines, as indicated by decreases in heart rate variability (HRV)². At the same time, sympathetic (or noradrenergic) activity increases, as indicated by increases in sympathetic nerve activity and circulating noradrenaline levels⁴. Age-related increases in noradrenergic activity and decreases in parasympathetic activity are associated with AD-related conditions including sleep disorders, diabetes, and heart disease⁵.

Age-related increases in noradrenergic activity along with decreases in parasympathetic activity might influence levels of amyloid-β (Aβ) peptides in the brain and body⁶. Generally, increasing neuronal or cellular activity stimulates release of Aβ⁷. Rodent AD models indicate that noradrenergic agonists/antagonists affect Aβ accumulation and amyloid plaque formation^8,9 and suggest that stressful situations tend to stimulate Aβ peptide release into the interstitial fluid¹⁰. While these findings suggest that countering noradrenergic activity could help decrease Aβ release in the brain, predictions involving tau proteins are not straightforward. Similar to Aβ, neuronal activity increases tau release^11,11,13 and repeated stress induces tau phosphorylation¹⁴. However, research indicates that anesthetics that lower noradrenergic activity induce tau phosphorylation^15,16, and dexmedetomidine, an ⍺2 adrenergic receptor agonist that produces a sedative state, also increases tau phosphorylation¹⁷. In addition, animal studies suggest that arousal states affect brain waste clearance by modulating effectiveness of glymphatic pathways which transport cerebrospinal fluid (CSF) and flush interstitial waste from the brain to veins^18,19. Glymphatic transport was increased when inducing anesthesia with dexmedetomidine, suppressing noradrenaline release²⁰ and when administering adrenergic antagonists¹⁹. Furthermore, stimulating the vagus nerve, which provides parasympathetic innervation, increased CSF penetrance in the brain²¹. Similar dynamics may exist in human brains^22,23. Certainly, sleep affects Aβ levels. One night of sleep disruption increased Aβ concentrations in the CSF^24,25, and older adults with lower slow-wave activity during sleep had higher Aβ and tau accumulation measured by positron emission tomography (PET) scans²⁶. However, the effects of sleep or sleep deprivation may be more related to production than clearance. For instance, measuring Aβ stable isotope labeling kinetics suggest that sleep deprivation increases Aβ production²⁷. Together, these studies suggest that enhancing parasympathetic activity either via improving sleep or directly stimulating the vagus nerve has the potential to reduce Aβ and tau levels.

The vagus nerve can be non-invasively stimulated by breathing around the baroreflex frequency (0.1 Hz or 10 s/breath)²⁸. The 10 s-paced breathing can stimulate brain mechanisms that help control blood pressure and heart beats and boost the amplitude of cardiovascular oscillations²⁹. We hypothesized that, by attenuating noradrenergic activity and enhancing parasympathetic activity, the amplified oscillations could reduce Aβ release and facilitate clearing the aggregation-prone Aβ42 and pTau-181 from the brain to the periphery. To test these possibilities, we added measures of plasma Aβ and tau to a clinical trial involving daily sessions of HRV biofeedback (ClinicalTrials.gov NCT03458910; primary study outcomes were focused on effects on emotion-related brain networks)³⁰. As outcomes that would reflect changes in cellular release of Aβ, we examined plasma Aβ40 and Aβ42 levels. We also included plasma total tau (tTau) and phosphorylated tau (pTau-181) to measure effects on tau proteins. As outcomes that would reflect changes in clearance from the brain to blood, we examined two plasma ratios: Aβ42 to Aβ40 and pTau-181 to tTau. We selected these as clearance-related outcomes as these ratios each involve one plasma biomarker that is more likely to be brain-derived (Aβ42, pTau-181) and one that relates more to peripheral production or release (Aβ40, tTau). Compared with Aβ40, Aβ42 is relatively more prevalent in the brain than in the periphery³¹. Platelets are the major source of peripheral Aβ^7,32 and produce predominantly Aβ40 over Aβ42^7,31. Plasma Aβ42 is more likely than plasma Aβ40 to reflect brain-derived Aβ, as reflected in the stronger correlation between plasma and CSF Aβ42 than between plasma and CSF Aβ40^33,34. Plasma pTau-181 and tTau show a similar brain vs. periphery dichotomy. Once diagnostic groups are controlled for, plasma tTau and CSF tTau do not significantly correlate with each other, and are correlated with different aspects of brain atrophy and cognition^33,35,36,37. In contrast, plasma pTau-181 levels correlate with CSF pTau-181 levels^38,39, suggesting plasma pTau-181 is more likely than plasma tTau to originate in the brain.

To test whether the HRV biofeedback intervention could affect Aβ and tau dynamics, we conducted assays of plasma samples from 108 healthy adults (54 younger and 54 older adults) who were randomized into one of two groups with opposing goals: reducing or increasing the amplitude of heart rate oscillations (Osc− vs. Osc+ condition). In addition to testing effects across age groups, we conducted follow-up analyses separately for younger and older adults. To our knowledge, no prior studies have compared the effects of any interventions across younger vs. older adults on AD biomarkers. However, analyzing the data separately for the two age groups could provide important insights regarding which effects are general across adulthood and which are specific to one age group. In addition, we ran two exploratory analyses. First, to test whether intervention effects on plasma biomarkers were related to changes in noradrenergic activity, in the younger subgroup of the participants (N = 54), we conducted gene expression analyses of circulating blood cells to assess longer-term tonic levels of noradrenergic activity. We used cAMP-responsive element binding protein (CREB)-regulated gene expression as a slow-moving index of β-adrenergic signaling that reflects adrenergic-related transcription activity⁴⁰. Second, we examined the possible association between change in Aβ42/40 ratios and negative emotion as studies indicated that plasma Aβ42/40 ratios are correlated with later-life major depression^41,42.

More at link.