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Rhythms Out of Tune onderzoekt lichaamsritmes .
J.Konstapel,Leiden,8-11-2026.
The body keeps time. Brain waves pulse several times a second. The heart beats once a second. The gut follows a slower clock. Mood follows a slower one still. Medicine has measured these rhythms for a century. Yet it has rarely asked a simple question. Do healthy rhythms share a common numerical pattern? And do disturbed rhythms break it?
“Rhythms Out of Tune” asks that question. The essay places twenty-four measured rhythms of the healthy and the diseased body on a single numerical ladder. The ladder comes from the Vacuum.Net Theory. Its step is a factor of three. Its scale is fixed by hydrogen alone. Nothing about the human body sets the scale.
The results are sobering and instructive. Healthy rhythms do not sit measurably closer to the ladder’s rings than chance would predict. Proven treatment frequencies do not either. But one exploratory pattern stands out. In six of seven matched pairs, the disturbed form of a rhythm lies farther from a ring than its healthy form. The pattern is suggestive, not proven. It was found after the fact. The authors offer it as a prediction, with clear refutation conditions.
This essay summarises the work in plain terms. It covers the ladder, the data, the failed tests, the suggestive pattern, the treatment evidence, the device programme, and the microbiome. It closes with an assessment of what the work means and what it does not.
1. A Ladder Made of Threes
Every frequency in the study is given a “depth” on one ladder. The ladder’s step is a factor of three. In the Vacuum.Net Theory, a ring of three equal passages closes into one passage at the scale above. One ring up is therefore three times slower.
The theory itself is dimensionless. Two constants fix its scale, and both come from hydrogen. The Rydberg constant, the proton-electron mass ratio, and the speed of light define a base length and a base time. Ring n then has a period of 3ⁿ times that base time. Any measured frequency can be converted into a depth:
n(f) = log₃(1 / (f · T₀))
A whole number means the rhythm sits exactly on a ring. A fraction of 0.5 means it sits as far from any ring as possible. The inputs are CODATA 2018 values. No property of the human body is used to set the scale. That is the design’s main strength. The ladder cannot be bent to fit the data.
The method was strict. A rhythm was included only if it is a measured frequency tied to a named state of balance or imbalance. Frequencies proposed only as treatments, such as Rife tables, were excluded. Every number was taken from an opened source, most from two. Each rhythm was labelled healthy or disturbed before any distance was computed. This discipline matters. It protects the analysis from its own hopes.
2. The Body’s Twenty-Four Clocks
The twenty-four rhythms span twenty rings. They run from 40 Hz brain activity at depth 29.8 to the yearly mood cycle at depth 48.9. They cover six domains.
The brain. Disturbed brain rhythms lie between 3.5 and 40 Hz. The healthy alpha rhythm sits near ring 31. In Alzheimer’s disease it slows, and it moves away from that ring. The same happens with tremor. Physiological tremor sits close to ring 31. Essential tremor falls farther away over the years. Parkinson’s tremor and absence seizures sit near ring 32. The 40 Hz response, reduced in schizophrenia, sits near ring 30.
The heart. The normal resting heart rate lies on ring 33, at about 71 beats per minute. Tachycardia lies almost exactly between rings 32 and 33. Two measures act as risk signals rather than single frequencies. Each 10 beats per minute of extra resting rate raises all-cause mortality by 9 percent across 1.2 million people. After a heart attack, low heart-rate variability predicts higher mortality.
Breathing and vessels. Here the pattern inverts. Normal breathing sits between rings. Fast breathing in illness, tachypnea, lands almost exactly on ring 34. Cheyne-Stokes breathing in heart failure sits very close to ring 37. Mayer waves of blood pressure sit near ring 35.
The gut. The gastric slow wave runs at about three cycles per minute, close to ring 36. Its disturbed forms move away. Bradygastria falls nearly half a ring from it.
Slow clocks. The 90-minute rest-activity cycle sits close to ring 41. The circadian day sits at depth 43.5, exactly between rings 43 and 44. It is the rhythm farthest from any ring of all twenty-four. Rapid-cycling bipolar disorder, with four or more mood episodes a year, sits near ring 47. Seasonal depression sits near ring 49.
The map that emerges is not tidy. Healthy and disturbed rhythms mix along the whole ladder. No exclusive “health zone” appears.
3. The Tests the Ladder Fails
The study’s honesty is its most professional feature. It tests its own central claim, and the claim fails.
Healthy rhythms sit at a mean distance of 0.216 from the nearest ring. Chance predicts 0.25. That looks close. But a random set of nine values would sit that close or closer 24 percent of the time. The result is not significant. Healthy rhythms do not sit measurably closer to rings than chance allows.
Disturbed rhythms sit slightly farther away than healthy ones, at 0.26 against 0.22. A permutation test gives p = 0.26. Again, not significant at group level.
The key insight is statistical. Population ranges are wide. A measured range that covers a factor of two contains a ring 63 percent of the time by chance. A factor of three always does. Whether a range contains a ring is therefore no evidence at all. Only the distance of each range’s centre carries information, and that information is weak at group level.
4. The Pattern That Survives: Six of Seven Pairs
One exploratory result stands out. In seven matched pairs, both the healthy rhythm and its disturbed form are measured. In six of the seven, the disturbed form lies farther from the nearest ring.
The pairs are telling. Healthy alpha sits 0.17 from ring 31; Alzheimer alpha sits 0.29. Physiological tremor sits 0.08 from ring 31; essential tremor sits 0.47. Resting heart rate sits 0.08 from ring 33; tachycardia sits 0.47. The gastric slow wave sits 0.12 from ring 36; bradygastria sits 0.46. Breathing is the one exception. Normal breathing sits far from a ring; tachypnea sits almost on one.
A sign test gives p = 0.06, one-sided. This is suggestive, not significant. Three pairs share one healthy reference, and two share another, so the seven are not independent. The pattern was found only after the data were laid out. The authors state this plainly. They offer it as a prediction to be tested, not as a finding.
The framing is exemplary. Each prediction is fixed in print before data. Each carries a refutation condition. Prediction P2, for instance, is refuted if fewer than two-thirds of within-person pairs move away from the ring after onset. Science that names its own failure conditions invites trust.
5. Frequencies That Treat: The Proven Line
The study then turns to treatment. Seven proven frequency treatments were placed on the ladder. None sits on a ring. Their mean distance is 0.285, slightly farther than the 0.25 chance expects. The p-value is 0.74. There is no closeness to rings.
The details are more striking still. Deep brain stimulation for Parkinson’s disease works at about 130 Hz. That frequency sits 0.28 from ring 29. Frequencies of 10 and 50 Hz, which do not work, sit closer to rings than the frequencies that do. Vagus nerve stimulation tells the same story. The effective 20 Hz sits farther from a ring than the near-placebo 1 Hz.
The seven treatments are not fringe. They include FDA-cleared and standard-care methods: deep brain stimulation, repetitive TMS at 10 Hz for depression, intermittent theta burst, vagus nerve stimulation for epilepsy, pulsed electromagnetic fields for bone fracture, 40 Hz gamma stimulation in Alzheimer’s disease, and resonance breathing. Within each device, the frequency matters clinically. The same device at another frequency works less or not at all. But the effective frequency is never the one closer to a ring.
The theory itself predicts this outcome under one condition. When the receiving layer’s state is not read, the same offering closes in some people and not in others. Group results then flatten. Every approved treatment was developed without reading state. Whether ring frequencies win once state is read remains untested.
6. The Russian Line: Close to Rings, Weak on Evidence
The Russian and Ukrainian device tradition presents an interesting contrast. SCENAR uses 90 Hz, adjusted by skin response. ALMAG magnetotherapy uses 100 Hz. Both frequencies lie very close to ring 29, closer than any Western approved frequency except 10 Hz rTMS.
The evidence is thin. The one well-designed sham-controlled trial found, for SCENAR with 60 patients, was negative. There was no difference from sham after one session. ALMAG rests on hospital series with no randomisation or blinding. Millimetre-wave therapy has nine randomised trials, only three of good quality.
The lesson is direct. Ring position alone does not make a treatment work. A frequency chosen for its numerical elegance has, on present evidence, no advantage over a frequency found by trial.
7. From Theory to Device: A Test Programme
The study’s most practical section converts theory into a research programme. The fastest decisive step is a ring-shift trial. Take a device that already works. Compare its standard frequency with the nearest ring frequency under blinding. Read the patient’s state before every session.
Eight design rules follow from the theory. The first is: read the state before offering anything. The second is: offer the layer’s own healthy ring, not the ring of the disturbance. A third rule adds a safety boundary. Some disturbed rhythms, such as absence seizures and Cheyne-Stokes breathing, are already locked on rings. Stimulating those rings could reinforce them. People with epilepsy are excluded from any ring-32 offering.
Five concrete ring-shift trials are specified. Each uses an existing device. Each names a primary outcome. For example, rTMS for depression would compare 10 Hz against 10.65 Hz (ring 31), with remission on HRSD-17 as the endpoint. Four new-device hypotheses follow, each with a refutation condition fixed before data.
The governance framing is equally professional. Any device built from the programme falls under the EU Medical Device Regulation. Nothing in the article is a treatment recommendation.
8. The Microbiome: Rhythms Below the Human Scale
A separate section treats the gut bacteria as part of the body’s rhythm system. The evidence is striking, though much of it is from mice.
Gut bacteria swing over the day with the host’s meals. In mice, more than 15 percent of bacterial groups oscillate over 24 hours. Restricting feeding shifts the bacterial rhythm by about 12 hours. Jet lag abolishes the rhythm. Bacteria from jet-lagged mice, and from two jet-lagged people, transferred weight gain and glucose loss to germ-free mice. The bacteria alone carried the disturbance.
The signal reaches the brain. One strain, Lactobacillus rhamnosus JB-1, lowered stress behaviour in mice and changed GABA receptors in the brain. None of this happened when the vagus nerve was cut. The channel is physical, not metaphorical.
One bacterial result mirrors the theory’s first rule. In E. coli, one millimetre-wave line had opposite effects on growing and resting cells. Read the state first, seen in bacteria. This may explain why weak-field studies on bacteria scatter so widely. If the sign of the effect depends on growth phase, studies that do not fix the phase will disagree.
The section’s conclusion is restrained. No frequency treatment of the microbiome is proposed. The one lever with strong evidence is the timing of meals and light. The simplest intervention is behavioural.
9. Reading Imbalance as Drift
The theory reads imbalance in three ways.
First, drift. Slowed alpha in Alzheimer’s disease, essential tremor, tachycardia, and gastric dysrhythmias move a healthy rhythm off its ring without landing on another. In the theory, this is the state that can still be retuned.
Second, locking on a wrong ring. Absence seizures, Cheyne-Stokes breathing, and tachypnea sit very close to rings. A system can close firmly on the wrong layer. A strong, regular, unwanted rhythm is what such a closure would look like.
Third, the day as open remainder. The solar day is the rhythm farthest from any ring. It is imposed from outside by the Earth’s rotation. The body must temper itself to it. That circadian misalignment carries the broadest disease link in the set, classified by IARC as probably carcinogenic, fits this reading. But it does not prove it.
Four predictions follow, each with a refutation condition. P1 tests whether healthy rhythms sit closer to rings within individuals than population ranges suggest. P3 tests whether treatment that works moves a rhythm back toward its ring. These move the question from groups to individuals, where the theory says the reference belongs.
10. Limits and Status
The study names its own limits. Population ranges are wide on a ladder of step three, so group-level tests have little power. Several imbalances of mind show changes in power or phase, not frequency, and are excluded. Some rows are band limits set by convention, not peaks found in data. A number of entries rest on a single opened source. The pair pattern and the three readings were formed after seeing the data.
A status table closes the article. It separates the computed from the measured, the tested from the untested, and the supported from the refuted. Healthy closeness to rings: tested, not supported. Treatment frequencies on rings: tested, not supported. The pair pattern: exploratory, found after the fact. Device design rules: derived, untested as a set. Any treatment use outside a trial: none, and not medical advice.
Conclusion
“Rhythms Out of Tune” does what serious exploratory work should do. It builds a rigid numerical frame from physics, not physiology. It places real clinical data on it. It tests its central claims and reports the failures in full. It converts what survives into predictions with named refutation conditions.
Two results are firm and negative. Healthy rhythms do not cluster on the ladder’s rings. Proven treatment frequencies do not either. A frequency chosen for its ring position has, on present evidence, no advantage over one found by trial.
One result survives as a question. In six of seven matched pairs, illness moves a rhythm away from its ring. If that holds within individuals, measured before and after onset, the ladder gains a clinical use as a reference frame. If it does not, the ladder remains a numerical curiosity. The study, to its credit, specifies exactly what would refute it.
The practical programme is equally clear. Read the patient’s state first. Test ring frequencies against standard ones on existing devices, under blinding. Keep the disturbed rhythm’s own ring off-limits. And for the microbiome, fix the meal clock before reaching for any field.
The work’s value is not a confirmed theory. Its value is a disciplined question, asked on a scale that cannot be bent, with the failure conditions written down in advance.
Annotated Reference List
The references below are drawn from the source article. Each is annotated with its role in the argument.
The theory and its constants
- Konstapel, J. (2026). The Senses on the Ladder: The Vacuum.Net Theory and the investigation and restoration of human perception. Constable Research, Leiden, 4 November 2026.
Source of the hydrogen units, the ring table, and the reading of illness as drift. The companion theory paper from which this study’s ladder and design rules are derived. - Tiesinga, E. et al. (2021). CODATA recommended values of the fundamental physical constants: 2018. Reviews of Modern Physics 93, 025010.
Supplies the physical constants (Rydberg constant, mass ratio, speed of light) that fix the ladder’s scale. Using committee-standard values keeps the scale independent of the biological data.
Brain and nerves
- Elble, Higgins & Elble (2005). Electrophysiologic transition from physiologic tremor to essential tremor. Movement Disorders.
Establishes the 8–12 Hz physiological tremor and the 4–8 Hz essential tremor, and how the latter slows over years. Central to the strongest pair in the six-of-seven pattern. - Frontiers in Integrative Neuroscience (2012), review of beta oscillations in Parkinson’s disease.
Documents the 13–35 Hz beta synchrony and its suppression by levodopa and DBS. Basis for the treatment-mechanism discussion in section 5. - Swan, Schulte, Brocker & Grill (2019). eNeuro 6(5).
Shows that beta-patterned stimulation alone did not produce slowness in rats. Supports reading beta as a marker rather than a cause. - Frontiers in Human Neuroscience (2026), alpha frequency in dementia (with Schumacher 2020; Babiloni 2022).
Provides the individual alpha frequency in Alzheimer’s disease against controls. One half of the alpha pair. - Scally et al. (2018). Neurobiology of Aging 71, 149–155.
Shows that alpha peak frequency slows with healthy ageing. Required for age-matched comparison of the Alzheimer data. - Zouaoui, Dumais, Lavoie & Potvin (2023). Brain Sciences 13(12), 1722.
Meta-analysis of the reduced 40 Hz auditory response in schizophrenia. Documents the effect size and its publication bias. - Chan et al. (2022). PLoS ONE 17(12), e0278412.
Randomised placebo-controlled pilot of 40 Hz light and sound in mild Alzheimer’s disease (n = 15). Bridges the 40 Hz rhythm and the gamma treatment rows. - Arns, Conners & Kraemer (2013). Journal of Attention Disorders 17(5), 374–383.
Meta-analysis concluding the theta/beta ratio is not a reliable ADHD diagnostic measure. Grounds the study’s caution about band-limit conventions. - ILAE, Childhood absence epilepsy: EEG, and Wikipedia, Childhood absence epilepsy.
Two sources for the 2.5–4 Hz spike-and-wave criterion, typically 3 Hz. Establishes the ring-32 locking case.
Heart, vessels and breathing
- Zhang, Shen & Qi (2016). CMAJ 188(3), E53.
Meta-analysis of 46 studies and 1.2 million people linking resting heart rate to mortality. Converts the heart-rate row into a graded risk signal. - Huikuri & Stein (2012). Frontiers in Physiology, and World Journal of Cardiology (2017).
Carry the Kleiger 1987 finding that SDNN below 50 ms predicts mortality after infarction. Anchors the heart-rate variability discussion. - Wikipedia, Mayer waves (citing Takalo 1999).
Documents the ~0.1 Hz blood-pressure rhythm and its shift toward lower frequency with hypertension risk. A single-source entry, flagged as such. - Frontiers in Public Health (2017), resonance frequency breathing.
Establishes the 4.5–7 breaths per minute resonance of heart-rate variability. Used for both the rhythm map and the treatment table. - Saito & Takamatsu (2022). Frontiers in Cardiovascular Medicine, and Swiss Medical Weekly.
Give the 60–85 second Cheyne-Stokes cycle length in heart failure. Basis of the ring-37 locking case.
Gut, slow clocks and mood
- World Journal of Gastroenterology (1996) and Wikipedia, Electrogastrogram.
Define the ~3 cpm gastric slow wave and the bradygastria and tachygastria limits. Two of the strongest matched pairs rest on these sources. - American Journal of Psychiatry (2005) 162:1273, and Bipolar Disorders (2008) 10, 153–162.
The four-episodes-a-year definition of rapid cycling and its prevalence in specialist samples. Fixes the depth of the fastest mood cycle. - ESMO, on the IARC 2019 classification of night shift work.
Documents circadian disruption as probably carcinogenic (Group 2A). Gives the circadian row its disease weight.
Frequencies that treat
- Dayal, Limousin & Foltynie (2017). Journal of Parkinson’s Disease 7, 235–245, and Rizzone et al., JNNP 71(2), 215.
The 130 Hz DBS standard, its 130–185 Hz benefit ceiling, and the controlled comparison showing 90, 130 and 170 Hz effective while 10 and 50 Hz are not. Core of the within-device frequency test. - THREE-D trial (Blumberger et al., The Lancet, 2018).
Non-inferiority of 3-minute theta burst against 37.5-minute 10 Hz rTMS in 414 patients. Shows pattern, not just frequency, can carry efficacy. - IntechOpen (2014), vagus nerve stimulation for epilepsy.
The pivotal trials comparing 20–30 Hz against 1 Hz. The pair in which the effective frequency sits farther from a ring than the ineffective one. - Murray & Pethica (2016). Orthopedic Research and Reviews 8.
The 15 Hz burst signal of the FDA-approved bone stimulator. Notably authored by the manufacturer’s staff, a conflict the study inherits and acknowledges. - Michel-Cherqui et al. (2021). Journal of Clinical Medicine 10(23), 5570.
The single-blind sham-controlled SCENAR trial (n = 60), negative against sham. The decisive negative result of the Russian device line. - Usichenko et al. (2006). eCAM 3(2), 201–207.
Systematic review of millimetre-wave therapy: 13 studies, 9 randomised, only 3 of good quality. Establishes the evidence quality of that tradition. - Vance et al. (2022). Medicina 58(10), 1332.
TENS review showing low and high frequencies act through different opioid receptors. A known mechanism by which frequency, not just intensity, matters. - DOG and BVA statement (2016), on transorbital stimulation.
The German ophthalmology societies’ rejection of the transorbital trial for a changed primary endpoint and uncorrected comparisons. A model of professional skepticism applied to a positive result.
The microbiome
- Thaiss et al. (2014). Transkingdom control of microbiota diurnal oscillations promotes metabolic homeostasis. Cell 159, 514–529.
The foundational study: daily bacterial oscillation, its abolition by jet lag, and its transfer to germ-free mice with the bacteria alone. The human part rests on two volunteers, a limit the study states. - Bravo et al. (2011). PNAS.
Lactobacillus rhamnosus JB-1 changed stress behaviour and brain GABA receptors in mice, and only with the vagus nerve intact. Establishes a physical gut-brain channel. - Sowa & Berry (2008). The bacterial flagellar motor. Quarterly Reviews of Biophysics 41(2), 103–132, and Princeton MAE 545 lecture notes.
Bacterial motor speeds and run-and-tumble times. Used cautiously; the study notes these are order-of-magnitude estimates, not evidence. - Belyaev et al. (1996). Bioelectromagnetics 17(4), 312–321, with the 2002 follow-up.
Narrow millimetre-wave resonances in E. coli that reverse sign between growing and resting cells. The clearest bacterial instance of “read the state first”, though not independently confirmed. - Costerton et al. (1994). Antimicrobial Agents and Chemotherapy 38(12), 2803–2809.
The bioelectric effect: weak current lowers the antibiotic dose needed against biofilms. A reproducible laboratory effect since 1994. - Medical News Today, on Rife machines.
Documents the absence of clinical trials for Rife frequency claims and their rejection by cancer organisations. Boundary marker for what the study excluded.