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Cerebral autoregulation

How the brain holds blood flow approximately constant across a range of perfusion pressures, and what happens when it can't.

BLast reviewed 2026-06-0611-min read

1. Bedside vignette: has this brain stopped defending its own flow?

A 9-year-old fell from a balcony and arrived with a severe head injury; an ICP monitor was placed on arrival. On day 3 the MAP is 65 and the ICP 15, so CPP is 50, a number that looks defensible on a standard chart. But this child's injured brain has lost the ability to buffer blood-pressure swings. Across the morning, every dip in MAP is followed, almost beat for beat, by a fall in cerebral oxygenation, and every rise by a rise. The vessels are behaving as passive pipes: flow is tracking pressure rather than being held steady against it.

The useful bedside question is no longer "is CPP above a fixed threshold?" but "has this brain stopped defending its own flow, and if so, what perfusion pressure does it actually need today?" That is the question cerebral autoregulation, and the monitoring built around it, exists to answer. The rest of this page is the physiology behind it.


2. What is cerebral perfusion pressure?

Before flow, pressure. The brain is perfused by the difference between the pressure pushing blood in and the pressure inside the skull pushing back:

CPP=MAPICP\mathrm{CPP} = \mathrm{MAP} - \mathrm{ICP}

Cerebral perfusion pressure (CPP) is the driving pressure across the cerebral vascular bed: mean arterial pressure (MAP) comes from the arterial line, intracranial pressure (ICP) from an EVD or parenchymal monitor.

CPP is not the same as cerebral blood flow. Flow also depends on how wide or narrow the vessels are, that is, on cerebrovascular resistance (CVR):

CBF=CPPCVR\mathrm{CBF} = \frac{\mathrm{CPP}}{\mathrm{CVR}}

This one relationship is the whole point of autoregulation. By changing arteriolar calibre (and therefore resistance), the brain can hold CBF roughly constant even as CPP moves. When the mechanism works, CPP can swing and flow barely changes; when it fails, flow follows CPP directly.

Two clinical consequences follow. First, the same CPP can mean very different things: CPP 60 from MAP 75 and ICP 15 is a healthy brain, while CPP 60 from MAP 100 and ICP 40 is a decompensating one reaching the same number by a very different path. Second, the "right" CPP is age-dependent and, ultimately, patient-dependent. The CPP page covers the number, its age-banded targets, and those paths in full; here we use CPP simply as the horizontal axis of the autoregulation curve.


3. What autoregulation is: the Lassen plateau

The brain runs a roughly fixed metabolic appetite, about 3.5 mL O₂ per 100 g per minute in an adult and more per gram in a school-age child, and must feed it across a constantly moving systemic blood pressure. It does this by changing the calibre of its arterioles: they constrict when perfusion pressure rises and dilate when it falls. The result is the Lassen plateau, a band of CPP (or MAP) across which CBF stays approximately constant, bounded by a lower limit of autoregulation (LLA) and an upper limit (ULA).

Fig. 1
LASSEN CURVES · POPULATION → PATIENTCerebral autoregulation flattens flow against blood-pressure swings, until it can't.0255075100125150175200Mean arterial pressure (mmHg)0255075100CBF (mL / 100 g / min)LLA 60ULA 150healthy · on plateauCPP = 105TBI · CPP 40below LLA → passivePROFILESHealthy adultLLA 60 · ULA 150 · 90-mmHg plateauYoung childLLA 45 · ULA 110 · 65-mmHg plateauSevere TBILLA 80 · ULA 130 · 50-mmHg plateaunarrowed + right-shiftedLost (passive)CBF tracks MAP linearlyBEDSIDE INDICESPRx· invasive (MAP↔ICP slow)Mx· TCD (MAP↔MFV)COx· NIRS (MAP↔rSO₂)All sample the slow-wave layer.MNM-Edu original schematic · derived from Lassen 1959 + pediatric extensions
Three Lassen curves overlaid. (1) Healthy adult: flat plateau between MAP ~60 and ~150 mmHg, CBF ~50 mL/100g/min. (2) Neonate: narrower plateau (often only 10–20 mmHg wide), shifted leftward, with the lower limit sometimes near baseline MAP. (3) Severe TBI: plateau narrows and the curve approaches pressure-passive linearity. The clinical implication is that no single CPP target works for every patient, even within an age band.
MNM-Edu, original schematic.

Below the LLA the arterioles are already maximally dilated and cannot compensate further, so flow falls as pressure falls. Above the ULA they are maximally constricted, so flow rises as pressure rises. The plateau is not identical in every patient: it is narrower and lower in children, and acute brain injury narrows it or abolishes it altogether.

4. How a single arteriole holds the line

Three mechanisms act in parallel to hold flow against a swinging pressure, with different time constants and different things that modulate them.

  1. Myogenic. Smooth muscle in the arteriolar wall responds to transmural pressure. As pressure inside the vessel rises, mechanosensitive channels (notably TRPM4 and Piezo1) depolarise the muscle, voltage-gated Ca²⁺ enters, and the vessel constricts. This is fast (~5–15 s), survives denervation, and is the dominant short-latency mechanism (originally the Bayliss effect, 1902).
  2. Metabolic. Local accumulation of CO₂, lactate, and adenosine, together with shifts in interstitial pH, dilates vessels where metabolic demand is high. This underlies functional hyperaemia and most of CO₂ reactivity.
  3. Neurogenic. Sympathetic activation shifts both the LLA and the ULA rightward, narrowing the window; parasympathetic input to the cerebral vessels is small.
Fig. 2
AUTOREGULATION: THREE MECHANISMS BY TIMESCALEmyogenic · metabolic · neurogenic, on a shared time axisslow-wave band (PRx/Mx)MYOGENICconstricts to rising pressure (Bayliss);dominates the bedside slow-wave indices~5-15 sMETABOLICvessel calibre tracks metabolic demand(CO2, lactate, adenosine, pH)tens of sNEUROGENICautonomic shifts that movethe LLA and ULAminutes1 s5 s15 s1 min5 min10 minresponse time (log scale)PRx and Mx capture the combined myogenic + metabolic response in the 0.04-0.07 Hz band · MNM-Edu schematic · Brady 2007 / 2009
Three time-scale rows for the autoregulation mechanisms. Myogenic responses act within ~5–15 s and dominate the bedside slow-wave correlation indices. Metabolic responses act over tens of seconds. Neurogenic shifts unfold over minutes. PRx and Mx capture the combined myogenic and metabolic response in the 0.04–0.07 Hz band.
MNM-Edu, original schematic.
Clinical pearl

Three mechanisms, three time scales. Myogenic responses act in seconds, metabolic ones over tens of seconds, neurogenic shifts over minutes. The bedside autoregulation indices use slow waves (around 0.04–0.07 Hz) to capture the combined myogenic and metabolic response; faster transients are dominated by the myogenic component alone.

5. The three operating zones at the bedside

The plateau has three operating zones, and the consequence of sitting in each one is different.

  • Below the LLA (hypotensive zone). CBF falls with pressure, so even modest hypotension causes ischaemia. This is the territory of secondary injury in severe TBI, of watershed injury in neonatal HIE, and of injury after deep anaesthetic induction.
  • On the plateau. CBF is buffered. Routine blood-pressure swings are absorbed by the arterioles, and the bedside team does not have to chase them.
  • Above the ULA (hypertensive zone). CBF rises with pressure, so hypertensive surges drive vasogenic oedema, blood-brain-barrier breakdown, and haemorrhagic transformation. This is the enemy in post-recanalisation stroke, the post-cardiotomy hypertensive patient, eclampsia, and malignant hypertension.
  • Off the plateau entirely (pressure-passive). CBF tracks pressure linearly and there is no buffer at all; every pressure swing is a flow swing. In severe brain injury the plateau narrows or disappears.

A "normal" MAP can therefore be too low or too high for this patient today.

What bends the curve. Chronic hypertension and hyperviscosity shift the whole curve rightward; pregnancy and ageing shift it leftward; acute brain injury narrows it asymmetrically, with the LLA rising and the ULA falling.

A note on management. When the bedside picture suggests autoregulation has failed (flow tracking pressure, ischaemia or oedema appearing with pressure swings), the first moves are the cheap ones: correct hypoxaemia, hypercarbia, fever, seizures, pain, and under-sedation, each of which can narrow or shift the curve faster than any haemodynamic manoeuvre. Only then reach for blood-pressure targeting, and, where the monitoring exists, for an individualised perfusion-pressure target (CPPopt, below).

The extreme case: the Cushing reflex. When CPP collapses far enough, the brainstem itself becomes ischaemic and triggers a stereotyped systemic response: a sympathetic surge driving hypertension, vagally mediated bradycardia, and irregular respiration, the Cushing triad. It is not a form of autoregulation but a last-ditch attempt to force perfusion pressure back up, and it is a late and ominous sign of critically raised ICP and impending herniation. Treat it as an emergency; raised-ICP management and the herniation cascade are covered on the ICP page.

LassenCurve
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6. Why pediatric autoregulation is different

The pediatric autoregulatory plateau is narrower, lower, and more variable than the adult one. Three concerns dominate at the bedside:

  1. Narrow plateau. Piglet data suggest the plateau may be only 10–20 mmHg wide in neonates, with wide variation between individuals.
  2. Low lower limit. The LLA can sit close to baseline MAP, so a normal-looking blood pressure may already be on the pressure-passive segment.
  3. Variable closure. Post-arrest, post-cardiopulmonary-bypass, and HIE states all shift the LLA upward unpredictably.

This is why brief hypotension during induction or in the catheterisation lab matters disproportionately in infants, and why individualisation of the perfusion-pressure target is at once most attractive and least validated in the youngest patients.

In children

Practical floors. Maintain CPP above roughly 40 mmHg in infants and toddlers, 50 in school-age children, and 60 in adolescents, but treat these as floors, not targets, and use a measured autoregulation index where one is available. The full age-banded CPP table lives on the CPP page.


7. How we measure autoregulation at the bedside

Autoregulation is a property, not a signal: no probe reads it directly. At the bedside it is inferred from a simple idea. When the plateau is intact, slow waves in arterial pressure do not produce matching slow waves in a flow- or pressure-related brain signal, because the arterioles are actively absorbing them. When autoregulation fails, the two move together. Measuring how tightly they move together, as a moving correlation over roughly 5-minute windows, grades autoregulation continuously.

Three indices do exactly this, differing only in the brain-side signal they use:

  • PRx (pressure reactivity index) uses ICP. It is the invasive gold standard when an ICP monitor is already in. See the PRx page.
  • Mx (mean velocity index) uses transcranial Doppler flow velocity. It is non-invasive and useful before a monitor is placed or after it is removed. See the Mx page.
  • COx (cerebral oximetry index) uses NIRS tissue oxygenation. It is fully non-invasive and the workhorse in neonates and in cardiac surgery. See the COx page.

All three read near zero or negative when autoregulation is intact and turn positive when it fails. Their exact thresholds, the underlying math, the trace patterns, and the pitfalls live on their own pages.

Caveat

The indices are not interchangeable, and that is useful. PRx samples pressure through the ICP pulse, Mx samples large-vessel flow, COx samples tissue oxygenation. Where they disagree (for example PRx intact but COx impaired), the discordance is itself the finding: microvascular shunting, anaemia, or extracranial contamination of the NIRS. Do not silently swap one index for another to make it agree with the clinical impression.

8. CPPopt: the individual sweet spot

Because each brain's plateau sits at a different place, and moves over hours, there is an individual perfusion pressure at which autoregulation works best. This is CPPopt. The idea is straightforward: if you watch one of the autoregulation indices across a range of CPP values over several hours, it tends to trace a U. Autoregulation is worst when CPP is too low (passive collapse) and when it is too high (hyperaemia), and best somewhere in between. The bottom of that U is CPPopt, and the operational target is a few mmHg either side of it.

Two things matter at the bedside. CPPopt is a moving target, not a number to set once: it is re-derived as the brain's state changes. And it is not always obtainable, when the curve is flat there is no optimum to read, and the right move is to fall back to the age-banded CPP floor rather than invent one.

In children CPPopt is lower than the adult-style default and is age-dependent; the pediatric evidence is early but consistent with the adult physiology. The method itself, the dose-response between time spent away from CPPopt and outcome, and the trial evidence are covered in full on the CPPopt page.


9. Combine with…


10. Evidence summary

TopicSourceGrade
Original Lassen curveA
Continuous assessment of vasomotor reactivityB
Monitoring of cerebral autoregulation (consensus)review
Pediatric autoregulation (cardiac surgery)B
Pediatric piglet model (narrow plateau)B
Autoregulation-oriented therapy (review)review
CPPopt feasibilityB
CPPopt-targeting (COGiTATE)B
Pediatric severe-TBI guidelinesexpert
Pediatric MNM consensusexpert
Cushing reflex (history) foundational

11. Self-check

Retrieval check
Cerebral autoregulation keeps cerebral blood flow approximately constant across a range of perfusion pressures. Which statement best describes what happens when autoregulation fails?
One child has CPP 60 from MAP 75 and ICP 15. Another has CPP 60 from MAP 100 and ICP 40. Why are these not physiologically equivalent?
Why can a normal-looking blood pressure still be dangerous for a sick neonate's brain?

References

  1. Lassen NA. Cerebral blood flow and oxygen consumption in man. Physiological Reviews 1959;39(2):183–238. doi:10.1152/physrev.1959.39.2.183 link
  2. Czosnyka M, Smielewski P, Kirkpatrick P, Laing RJ, Menon D, Pickard JD. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery 1997;41(1):11–19. doi:10.1097/00006123-199707000-00005 link
  3. Czosnyka M, Miller C, Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring. Monitoring of cerebral autoregulation. Neurocritical Care 2014;21(Suppl 2):S95–102. doi:10.1007/s12028-014-0046-0 link
  4. Cushing H. Concerning a definite regulatory mechanism of the vasomotor centre which controls blood pressure during cerebral compression. Bulletin of the Johns Hopkins Hospital 1901;12:290–292.
  5. Fodstad H, Kelly PJ, Buchfelder M. History of the Cushing reflex. Neurosurgery 2006;59(5):1132–1137. doi:10.1227/01.NEU.0000245582.08532.7C link
  6. Brady KM, Easley RB, Kibler K, et al.. Real-time continuous monitoring of cerebral blood flow autoregulation using near-infrared spectroscopy in patients undergoing cardiopulmonary bypass. Stroke 2010;41(9):1951–1956. doi:10.1161/STROKEAHA.109.575159 link
  7. Brady KM, Mytar JO, Lee JK, et al.. Monitoring cerebral blood flow pressure autoregulation in pediatric patients during cardiac surgery. Stroke 2010;41(9):1957–1962. doi:10.1161/STROKEAHA.109.575167 link
  8. Tasker RC. Cerebrovascular reactivity in pediatric severe traumatic brain injury: a review. Pediatric Critical Care Medicine 2023.
  9. Kochanek PM, Tasker RC, Bell MJ, et al.. Management of pediatric severe traumatic brain injury: 2019 consensus and guidelines-based algorithm for first and second tier therapies. Pediatric Critical Care Medicine 2019;20(3):269–279. doi:10.1097/PCC.0000000000001737 link
  10. Aries MJ, Czosnyka M, Budohoski KP, et al.. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Critical Care Medicine 2012;40(8):2456-2463.
  11. Beqiri E, Smielewski P, Robba C, Czosnyka M, et al.. Feasibility of individualised severe TBI management using a CPPopt approach: COGiTATE phase II trial. Intensive Care Medicine 2021;47:1093-1103.
  12. Rivera-Lara L, Zorrilla-Vaca A, Geocadin R, et al.. Cerebral autoregulation-oriented therapy at the bedside: a comprehensive review. Anesthesiology 2017;126(6):1187-1199.
  13. Figaji AA, Tasker RC, Bell MJ, Kochanek PM. Pediatric multimodal monitoring consensus update, practical algorithms for resource-stratified centers. Intensive Care Medicine, Paediatric and Neonatal 2025.

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