Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
Stroke. 2000;31:2895-2900

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Carey, B. J.
Right arrow Articles by Potter, J. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Carey, B. J.
Right arrow Articles by Potter, J. F.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*Seniors' Health
Related Collections
Right arrow Brain Circulation and Metabolism
Right arrow Doppler ultrasound, Transcranial Doppler etc.
Right arrow Other Vascular biology

(Stroke. 2000;31:2895.)
© 2000 American Heart Association, Inc.


Original Contributions

Dynamic Cerebral Autoregulation Is Unaffected by Aging

Brian J. Carey, MRCPI; Penelope J. Eames, MRCP; Melanie J. Blake, MRCP; Ronney B. Panerai, PhD John F. Potter, DM

From the Division of Medicine for the Elderly, University of Leicester, Glenfield Hospital, Leicester; and Division of Medical Physics, University of Leicester, Leicester Royal Infirmary (R.B.P.) (United Kingdom).

Correspondence to Dr Brian J. Carey, Division of Medicine for the Elderly, University of Leicester, Glenfield Hospital, Groby Rd, Leicester LE3 9QP, UK. E-mail brian.carey{at}glenfield-tr.trent.nhs.uk


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background and Purpose—Normal aging is associated with marked changes in the cardiovascular and cerebrovascular systems. Although cerebral autoregulation (CA) is impaired in certain disease states, the effect of age per se on dynamic CA in humans is unknown and the focus of this study.

Methods—Twenty-seven young subjects (<=40 years) and 27 older subjects (>=55 years), matched for sex and systolic blood pressure (BP), underwent measurement of cerebral blood flow velocity by transcranial Doppler ultrasound and noninvasive beat-to-beat arterial BP measurement during induced and spontaneous dynamic BP stimuli. A standard dynamic autoregulatory index (ARI) was derived for each spontaneous and induced dynamic BP stimulus to include the step response, as well as cardiac baroreceptor sensitivity (BRS), for the 2 groups.

Results—The mean age of the young group was 29±5 years, and that of the older group was 68±5 years. Cardiac BRS was reduced in the older group (8.6±4.5 versus 16.9±8.8 ms/mm Hg; P<0.0001). However, no age-related differences were demonstrated in step response plots or in ARI values for any pressor or depressor dynamic BP stimulus (P=0.62), with mean ARI values for all stimuli combined being 4.9±1.8 for the young group and 5.0±2.3 for the older group.

Conclusions—Although increasing age is associated with a decrease in cardiac BRS, dynamic CA, as assessed by step response analysis as well as cerebral blood flow responses to transient and induced BP stimuli, is unaffected by aging.


Key Words: aging • autoregulation • cerebral circulation • ultrasonography, Doppler, transcranial


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
The cardiovascular system demonstrates many age-related changes, as evidenced by the well-recognized increase in systolic blood pressure (BP)1 and decreases in systemic artery compliance and cardiac baroreceptor sensitivity (BRS) with age.2 3 Aging may also be associated with changes in cerebrovascular hemodynamics, with both cerebral blood flow (CBF) volume and CBF velocity (CBFV) being reported as declining with advancing years.4 5

Cerebral autoregulation (CA) refers to the inherent ability of the cerebral blood vessels to keep CBF constant for a wide range of systemic BP levels.6 CA occurs with a substantial degree of temporal heterogeneity in that physiological adjustments of CBF occur both quickly and slowly. Dynamic CA refers to the ability to maintain CBF in the face of BP changes occurring over a matter of seconds and reflects the latency of the cerebral vasoregulatory system. Static CA refers to CBF adjustments in response to more prolonged BP changes and is a measure of the overall efficiency of the system. Dynamic CA is impaired in a variety of disease states, including post–head injury disorders, subarachnoid hemorrhage, acute ischemic stroke, and carotid artery disease.7 8 9 10 11 12 It has been suggested that static and dynamic CA may have different control mechanisms and that dynamic CA may be more susceptible to damage in pathological states,13 as seen after acute ischemic stroke.11 Since disease states likely to affect CA are more common in the elderly, it is important to know whether aging per se affects CA.

The advent of transcranial Doppler ultrasonography has facilitated the noninvasive measurement of CBF hemodynamics by allowing CBFV changes in response to static and dynamic BP changes, and hence CA, to be calculated.13 14 Methods of CA estimation using spontaneous BP changes may have advantages over methods using induced BP changes. Such methods include the new step response methodology15 16 17 and do not induce sympathetic stimulation or hypocapnia, both of which may affect the integrity of CA. The use of spontaneous BP changes is also less noxious to subjects and poses less risk to patients potentially at risk from the induction of acute hypotensive or hypertensive changes, eg, patients after an episode of acute stroke or subarachnoid hemorrhage and those with carotid stenosis.

Although the effect of aging on CA has been studied in animals,18 we are unaware of any studies on the effects of physiological aging on dynamic CA in humans. This study was designed to assess the effect of human aging on dynamic CA in response to spontaneous and induced pressor and depressor stimuli.


*    Subjects and Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Subjects and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Subjects
Subjects were recruited from a volunteer register in the department and from departmental staff. All were healthy, on no medications, and free from cardiovascular, cerebrovascular, or autonomic disease as based on history and clinical examination. Significant silent carotid stenosis was excluded on the basis of bilateral neck auscultation and the absence of typical transcranial Doppler ultrasound findings.19 Subjects had 3 semiautomated BP readings taken 1 minute apart (Omron 711) after lying supine for 10 minutes; a cuff of an appropriate size was used. Mean baseline BP levels were taken as the average of the last 2 readings, provided that BP levels differed by <10 mm Hg.

The subjects were assigned by age to a young group (<=40 years) or an older group (>=55 years) and were pair-matched for sex, systolic BP (within 10 mm Hg), and body mass index (BMI) to within 2.0 kg/m2.

Protocol and Measurements
Subjects avoided caffeine-containing products, nicotine, and alcohol for at least 12 hours before the study and wore loose, comfortable clothing, attending the sessions a minimum of 2 hours postprandially. All recordings were made in a dedicated research room kept at constant ambient temperature (21°C to 24°C), and external stimuli were minimized. Subjects lay supine on a couch with their head supported by 2 pillows. A surface 3-lead ECG was fitted, and arterial BP was measured noninvasively from the middle finger of the nondominant hand with a servo-controlled plethysmograph (Finapres 2300, Ohmeda).20 An appropriate cuff size was chosen, and the hand was supported at the level of the right atrium with a custom-made armrest. CO2 levels were measured with a previously validated transcutaneous gas monitor (TINA, Radiometer).21 Middle cerebral artery blood flow velocity was measured bilaterally as described by Aaslid et al22 and Dawson et al11 with a 2-MHz pulse transcranial Doppler ultrasound (SciMed QVL 842X). The Doppler frequency shift and the other parameters were recorded onto a digital tape (DAT, Sony PC-108M). Subjects lay supine for a minimum of 20 minutes, and recording was started when the Finapres and TINA values had stabilized (<10% variation over 5 minutes). Subjects were asked to remain supine and to refrain from talking during the recordings, and 2 baseline recordings of at least 5 minutes each were made. Subsequently, the dynamic pressor stimuli and depressor stimuli were applied in random order, with a baseline recording of 60 seconds before and after each test.

Dynamic Pressor BP Stimuli
Dynamic pressor BP stimuli included the following: (1) In lower body negative pressure release, the lower limbs of the subjects were sealed at the level of the iliac crests in a custom-designed box, and lower body negative pressure was applied (range, 15 to 58 mm Hg) to cause a fall of at least 10 mm Hg in systolic BP. After 5 minutes and when a steady state BP level had been achieved, atmospheric pressure was suddenly restored to the box by disconnecting the pressure box. (2) In the Valsalva maneuver, phase IV, subjects were asked to perform a Valsalva maneuver lasting 15 seconds while supine by blowing into a tube connected to a transducer that registered intrathoracic pressures to aid compliance. After completion, subjects lay quietly for 1 minute while recording continued. This procedure was repeated twice so that each subject performed 3 Valsalva maneuvers 1 minute apart. (3) Three spontaneous rises in BP >5 mm Hg were selected at random from each of the two 5-minute rest recordings. A total of 6 spontaneous pressor changes were therefore selected for each subject, and the mean value was taken.

Dynamic Depressor BP Stimuli
Dynamic depressor BP stimuli included the following: (1) For the thigh cuff release, bilateral thigh cuffs were applied and inflated to suprasystolic pressures for 90 seconds with thigh cuff pressure monitored with the use of a mercury sphygmomanometer. The cuffs were then rapidly deflated, and recording was continued for an additional minute. This test was repeated in some patients to increase the likelihood of obtaining a BP fall of >10 mm Hg. (2) Three spontaneous falls in BP >5 mm Hg were selected at random from each of the 2 rest recordings. A total of 6 spontaneous depressor changes were therefore selected for each subject.

Data Analysis
Systolic BP, diastolic BP, mean BP, and middle cerebral artery blood flow velocity were calculated for each cardiac cycle by methodology previously used in our department.11

Determination of Dynamic CA and Cardiac BRS
CA was graded by generating a dynamic autoregulatory index (ARI), ranging from 0 to 9, for each subject for each dynamic pressor and depressor stimulus according to the methods proposed by Tiecks et al13 with modifications previously used in our department.11 Each dynamic BP stimulus yielded an ARI for right and left middle cerebral arteries for each individual. The mean of the 2 ARI values thus obtained was taken to be the ARI for that individual for that dynamic BP stimulus. For thigh cuff release, Valsalva maneuver, spontaneous rises in BP, and spontaneous falls in BP, the mean of the ARI values derived for each adequate stimulus was taken to be the ARI for that dynamic BP stimulus.

Step response analysis was performed by the methods previously used by Panerai et al.15 16 In short, a fast Fourier transform method was used to define the arterial BP and CBFV spectra of the rest recordings. The frequency and phase responses of the transfer function were estimated with the average of 4 segments of data, each with 512 samples. The impulse response function was obtained from the inverse of the transfer function, and the step response was derived by integration of the impulse response function.15 16

Cardiac BRS was derived with the baseline recordings and fast Fourier transform spectral analysis methods, as described by Robinson et al.23

Statistical Analysis
With all 5 BP stimuli, it was assumed that missing data were lost in random fashion, ie, that the probability of a missing ARI was not a function of the subject’s ARI. A normal distribution was assumed, and a good approximation of this was demonstrated by a plot of residuals. Using mixed modeling age by stimulus interaction, we calculated age effect, estimated difference (young versus old), and stimulus effect.

Since the 2 groups were pair-matched, Student’s paired t tests were used to compare ARI values derived for each BP stimulus between the 2 groups to determine whether any individual test demonstrated a difference.

The differences between ARI values derived from the 5 different stimuli were estimated with the use of a mixed model for repeated-measures data. Different covariance patterns were investigated with Akaike’s information criterion. Multiple pairwise testing was adjusted for by Tukey’s method.

Mean step responses and their standard errors were calculated for both young and older groups.15 16 The step responses at 5 seconds were compared between the 2 groups with Student’s paired t test.

Data were analyzed with the use of SAS version 6.12 and Minitab 12 software packages. Results are presented as mean±SD (range); statistical significance was set at the P<0.05 level. The study was approved by the local ethics committee, and all subjects gave informed consent.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
*Results
down arrowDiscussion
down arrowReferences
 
Demographic and baseline data for the young (n=27) and older groups (n=27) are contained in Table 1Down. Despite matching individual pairs for systolic BP and BMI, both parameters were significantly higher in the older group (P<0.001 and P=0.003, respectively), but mean arterial and diastolic BP values were similar in the 2 groups. Baseline mean CBFV values were significantly higher in the younger group (P=0.006), as were baseline mean cardiac BRS values (P<0.0001).


View this table:
[in this window]
[in a new window]
 
Table 1. Demographic Information and Baseline Characteristics of the Young and Older Groups

The average dynamic BP changes achieved by the different stimuli are shown in Table 2Down. Regression analysis failed to show a significant correlation between the magnitude of BP change and ARI (P=0.82).


View this table:
[in this window]
[in a new window]
 
Table 2. Differences Between Groups in Mean Arterial Pressure Changes and ARI Values for Each Dynamic BP Stimulus

Mixed modeling did not demonstrate any variation of the effect of age on ARI values according to the dynamic stimulus used (age by stimulus interaction) (P=0.36). When a constant effect across all dynamic stimuli was assumed, no age effect was shown (P=0.62), with the estimated difference in ARI between young and older groups being -0.18 (95% CI, -0.93 to 0.56). No significant differences were shown between the 2 groups for ARI values derived with the use of any of the 5 dynamic BP stimuli (Table 2Up). When age effect was excluded from the final model and the effect of dynamic stimulus on ARI values was estimated for young and older subjects combined, a significant effect was demonstrated (P=0.033). Further comparison, by Tukey’s method of adjusting for multiple comparisons, showed that ARI values derived from thigh cuff release were significantly greater than those derived from lower body negative pressure release (difference=1.27; 95% CI, 0.03 to 2.50; P=0.042) for the young and older groups combined, although no other significant differences were found. When all dynamic stimuli were combined, mean ARI values were 4.9±1.8 for the young group and 5.0±2.3 for the older group (difference=-0.1; 95% CI, -0.6 to 0.7; P=0.88).

Mean step response plots for the 2 groups, including standard errors, are displayed in the FigureDown. No significant differences were shown between the step responses of the groups at 5 seconds (0.17 versus 0.14; difference=0.03; P=0.37).



View larger version (16K):
[in this window]
[in a new window]
 
Figure 1. Mean step response plots (bold plots), including standard errors (fainter plots), of young group (solid lines) and older group (broken lines). ABP indicates arterial BP.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
*Discussion
down arrowReferences
 
Certain important aspects of cerebral hemodynamics have been shown to change with age, with CBF volume and CBFV decreasing and cerebral arterial vessels widening in diameter.4 5 The reasons behind the decline in CBF and CBFV with age are unknown but may be due to the increase in arterial vessel diameter4 or decreasing metabolic demand.24 Dynamic, as opposed to static, CA has been shown to be the more vulnerable component to impairment in certain disease states,11 13 and, as pathological changes become more prevalent with age, it is important to know whether age per se causes deterioration in dynamic CA. That such changes take place in old age may have clinical importance and may help to explain, for example, the poor correlation between postural symptoms and systemic BP changes in response to standing in the elderly and in certain syncope syndromes.25 Despite the use of 2 different methodologies (Tiecks’ model and impulse response analysis), both pressor and depressor BP stimuli and induced and spontaneous BP changes, we have failed to show any difference in dynamic CA with age. Using similar methods, our group detected impaired dynamic CA in severe carotid artery stenosis,26 after acute ischemic stroke,11 in neonates,15 and during hypercapnia.16 We found that the older group had lower cardiac BRS and mean CBFV values than their younger counterparts, suggesting that the "normal" aging process in other cardiovascular and cerebrovascular parameters was present in our subjects.3 5 27

The Valsalva maneuver and thigh cuff release have previously been used as dynamic pressor and depressor stimuli, respectively, to assess CA.11 12 13 28 Thigh cuff release is probably the most widely applied dynamic BP stimulus, but it is unknown whether ARI values are dependent on the type of dynamic stimulus used, the direction of BP change (pressor or depressor), or the magnitude of BP change induced. To our knowledge, lower body negative pressure release and the use of spontaneous transient changes in BP at rest have not been used with Tiecks’ model to assess CA until now. Although we have demonstrated significant differences between ARI values derived by different dynamic BP stimuli (thigh cuff release and lower body negative pressure release), no age-related differences were found.

Although Tiecks’ ARI is an arbitrary model, it does provide important clinical information, eg, acute ischemic stroke patients have ARI values on the order of 2.0 lower than age- and BP-matched controls.11 Similar methods have shown ARI values to be a mean of 2.6 lower than control values in patients with carotid artery disease.13 Our ARI values are consistent with those published previously12 13 29 and demonstrate an ARI difference of only -0.18 between young and older groups, with a 95% CI of -0.93 to 0.56. We believe that our CIs are of a magnitude that suggest that there is no clinically significant age-related deterioration in dynamic CA.

The magnitudes of dynamic BP changes were significantly greater in the young for the Valsalva maneuver, but no differences were shown for any of the other dynamic BP stimuli. We did not find any significant correlation, however, between the magnitude of dynamic BP changes and ARI values in our subjects. It is also worth noting that the Valsalva maneuver caused the largest dynamic BP changes in both groups but yielded neither the highest nor lowest ARI values.

Step response analysis has been used to demonstrate impairment of dynamic CA in premature neonates, hypercapnia, and severe carotid artery stenosis.15 16 26 Step response plots characteristically demonstrate a return of CBFV to baseline values when dynamic CA is intact and higher values when impaired. The step response plots were remarkably similar for the 2 groups and indicate an active autoregulation in both groups.

Kastrup et al30 found that cerebrovascular CO2 reactivity was not affected by aging in men but decreased with age in women. A subanalysis of our female subjects demonstrated no differences in dynamic CA with age. It must be remembered, however, that CO2 reactivity and dynamic CA are different entities, the former possibly representing only one of the elements of the latter. If postmenopausal differences in CO2 reactivity truly exist, they do not appear to affect the integrity of dynamic CA.

We have failed to demonstrate any diminution of dynamic CA with age, a finding that we believe is of great interest, since this is the first study to show that aging does not impair CA while demonstrating that aging does alter other cardiovascular and cerebrovascular hemodynamic parameters, ie, cardiac BRS and CBFV. CA is a function of multiple physiological processes, including metabolic, myogenic, neuronal, and possibly nitric oxide– and endothelin-mediated endothelial mechanisms.31 32 It is interesting that, although arterial compliance, CBFV, CBF, and possibly endothelium-mediated vascular relaxation decline with age,2 4 5 33 the ability of the cerebrovasculature to compensate for acute BP changes remains undiminished. This suggests that the CA system may have a built-in reserve that allows for degeneration of the individual elements with time. If this is the case, it is possible that dynamic CA reserve may deteriorate with age and that impairment of dynamic CA may only be uncovered if the reserve is stretched to capacity, eg, at BP or age extremes, with large dynamic BP changes, or in disease states. The dynamic methods used in this study for assessing CA probably did not produce large enough BP changes, however, to exceed the upper and lower BP limits within which dynamic CA is active, and the possibility of a narrowing of the BP plateau with age cannot be addressed by our work.

CBFV values in the young and older groups were comparable to values reported elsewhere and demonstrated the significant age-related decline one would expect.5 27 It is unknown whether the magnitude of CBFV has any effect on dynamic CA, but it would appear not to be the case in this study since ARI values were similar in our young and old groups even though mean CBFV was significantly lower in the older group. Despite matching, the older group as a whole had a small although significantly higher systolic BP than the young group. There is no evidence that increases in systemic BP levels impair or facilitate dynamic CA,34 and, in any case, mean BP and diastolic BP were well matched between the group pairs. Moreover, if systemic BP truly has an effect on dynamic CA, we might have expected detection of lower ARI values in the older group, but this was not seen. Similarly, there is no evidence that increases in BMI are associated with changes in dynamic CA. If such changes did occur with increasing BMI, one could hypothesize that they would be mediated by increases in arterial BP, but this parameter has been reasonably well controlled.

The major limitation of this work and, indeed, any work using similar methodology is that we have measured CBFV rather than CBF. Changes in CBF can only be reliably deduced from CBFV changes if the diameter of the insonated vessel remains unchanged,22 but reliable, noninvasive assessment of vessel diameter has proven notoriously elusive. A number of authors have used the spectral power of Doppler signals to show that middle cerebral artery diameter does not change during thigh cuff application and release14 and during hypocapnia and hypercapnia,35 but a recent study has cast doubt on the usefulness of this method of assessing vessel diameter.36 We believe, however, that significant change in middle cerebral artery diameter is unlikely during thigh cuff application and release,37 lower body negative pressure,38 Valsalva maneuver,28 39 or supine rest. Nevertheless, we have not directly measured middle cerebral artery diameter, and caution must therefore be exercised in interpreting our results.

In addition to inducing dynamic BP changes, the different dynamic stimuli may result in other important physiological changes such as hypocapnia secondary to hyperventilation, hypercapnia during the Valsalva maneuver due to apnea, and possibly varying degrees of increased sympathetic nervous system activity between stimuli. Hypocapnia has been shown to augment dynamic CA,14 but we found no age-related differences in CO2 levels at rest. The effect of increased systemic sympathetic nervous system activity on dynamic CA is unclear, nor is it known whether the effect of sympathetic nerves on cerebral blood vessels changes with aging. An age-related deterioration would, however, probably impair dynamic CA and result in lower ARI values in the older age group. Since the degree of change in CO2 and sympathetic nervous system activity and the effects on dynamic CA in response to thigh cuff release, Valsalva maneuver, and lower body negative pressure release are unknown, we used statistical methods that allowed for the fact that ARI values derived from different dynamic stimuli may not be directly comparable. In view of these uncertainties, however, methods of assessing dynamic CA using spontaneous BP changes at rest, Tiecks’ model, or step response analysis may appear more attractive.

Using induced and spontaneous dynamic pressor and depressor changes in systemic BP to alter CBFV, we have not demonstrated any deterioration in dynamic CA with age. This finding has clinical significance in suggesting that any deterioration in dynamic CA in older subjects detected by these methods is likely to be pathological rather than physiological in origin. We believe, however, that further studies using other methods of assessing CA are needed to confirm our findings.


*    Acknowledgments
 
This study was supported by the Stroke Association (Dr Eames) and the British Heart Foundation (Dr Blake).

Received April 14, 2000; revision received July 17, 2000; accepted August 16, 2000.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
*References
 
1. Kannel W. Evaluation of cardiovascular risk in the elderly: the Framingham Study. Bull N Y Acad Med. 1978;54:573–591.[Medline] [Order article via Infotrieve]

2. Fleg J. Alterations in cardiovascular structure and function with advancing age. Am J Cardiol. 1986;57:33–44.[Medline] [Order article via Infotrieve]

3. Gribbin B, Pickering TG, Sleight P, Peto R. Effect of age and high blood pressure on baroreflex sensitivity in man. Circ Res. 1971;29:424–431.[Abstract/Free Full Text]

4. Matsuda H, Maeda T, Yamada M, Gui LX, Tonami N, Hisada K. Age-matched normal values and topographic maps for regional cerebral blood flow measurements by Xe-133 inhalation. Stroke. 1984;15:336–342.[Abstract/Free Full Text]

5. Krejza J, Mariak Z, Walecki J, Szydlik P, Lewko J, Ustymowicz A. Transcranial color Doppler sonography of basal cerebral arteries in 182 healthy subjects: age and sex variability and normal reference values for blood flow parameters. AJR Am J Roentgenol. 1999;172:213–218.[Abstract/Free Full Text]

6. Lassen NA. Cerebral blood flow and oxygen consumption in man. Physiol Rev. 1959;39:183–238.[Free Full Text]

7. Czosnyka M, Smielewski P, Kirkpatrick P, Pickard JD. Monitoring of cerebral autoregulation in head-injured patients. Stroke. 1996;27:1829–1834.[Abstract/Free Full Text]

8. Smielewski P, Czosnyka M, Kirkpatrick P, Pickard JD. Evaluation of the transient hyperemic response test in head-injured patients. J Neurosurg. 1997;86:773–778.[Medline] [Order article via Infotrieve]

9. Steiger HJ, Aaslid R, Stooss R, Seiler RW. Transcranial Doppler monitoring in head injury: relations between type of injury, flow velocities, vasoreactivity and outcome. Neurosurgery. 1994;34:79–85.[Medline] [Order article via Infotrieve]

10. Smielewski P, Czosnyka M, Iyer V, Piechnik S, Whitehouse H, Pickard J. Computerized transient hyperemic response test: a method for the assessment of cerebral autoregulation. Ultrasound Med Biol. 1995;21:599–611.[Medline] [Order article via Infotrieve]

11. Dawson SL, Blake MJ, Panerai RB, Potter JF. Dynamic but not static cerebral autoregulation is impaired in acute ischaemic stroke. Cerebrovasc Dis. 2000;10:126–132.[Medline] [Order article via Infotrieve]

12. White R, Markus HS. Impaired dynamic cerebral autoregulation in carotid artery stenosis. Stroke. 1997;28:1340–1344.[Abstract/Free Full Text]

13. Tiecks FP, Lam AP, Aaslid R, Newell DW. Comparison of static and dynamic cerebral autoregulatory measurements. Stroke. 1995;26:1014–1019.[Abstract/Free Full Text]

14. Aaslid R, Lindegaard K-F, Sorteberg W, Nornes H. Cerebral autoregulation dynamics in humans. Stroke. 1989;20:45–52.[Abstract/Free Full Text]

15. Panerai RB, Rennie JM, Kelsall AWR, Evans DH. Frequency-domain analysis of cerebral autoregulation from spontaneous fluctuations in arterial blood pressure. Med Biol Eng Comput. 1998;36:315–322.[Medline] [Order article via Infotrieve]

16. Panerai RB, Deverson ST, Mahony P, Hayes P, Evans DH. Effect of CO2 on dynamic cerebral autoregulation measurement. Physiol Meas. 1999;20:265–275.[Medline] [Order article via Infotrieve]

17. Zhang R, Zuckerman JH, Giller CA, Levine BD. Transfer function analysis of dynamic cerebral autoregulation in humans. Am J Physiol. 1998;274:H233–H241.

18. Hoffman WE, Albrecht RF, Miletich DJ. The influence of aging and hypertension on cerebral autoregulation. Brain Res. 1981;214:196–199.[Medline] [Order article via Infotrieve]

19. Wilterdink JL, Feldmann E, Furie KL, Bragoni M, Benavides JG. Transcranial Doppler ultrasound battery reliably identifies severe internal carotid artery stenosis. Stroke. 1997;28:133–136.[Abstract/Free Full Text]

20. Imholz BPM, Van Montfrans GA, Settels JJ, Van der Hoeven GMA, Karemaker JM, Wieling W. Continuous non-invasive blood pressure monitoring: reliability of Finapres device during the Valsalva maneuver. Cardiovasc Res. 1988;22:390–397.[Medline] [Order article via Infotrieve]

21. Dawson SL, Cave C, Pavord I, Potter J. Transcutaneous monitoring of blood gases: is it comparable with arterialized earlobe? Respir Med. 1998;92:584–588.[Medline] [Order article via Infotrieve]

22. Aaslid R, Markwalder T-M, Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow in basal cerebral arteries. J Neurosurg. 1982;57:769–774.[Medline] [Order article via Infotrieve]

23. Robinson TG, James M, Youde J, Panerai R, Potter J. Cardiac baroreceptor sensitivity is impaired after acute stroke. Stroke. 1997;28:1671–1676.[Abstract/Free Full Text]

24. Murphy DGM, DeCarli C, McIntosh AR, Daly E, Mentis MJ, Pietrini P, Szczepanik J, Schapiro MB, Grady CL, Horwitz B, Rapoport SI. Sex differences in human brain morphometry and metabolism: an in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging. Arch Gen Psychiatry. 1996;53:585–594.[Abstract/Free Full Text]

25. Wynne HA, Schofield S. Drug-induced postural hypotension. In: Kenny RA, ed. Syncope in the Older Patient. London, UK: Chapman & Hall; 1996.

26. Panerai RB, White RP, Markus HS, Evans DH. Grading of cerebral dynamic autoregulation from spontaneous fluctuations in arterial blood pressure. Stroke. 1998;29:2341–2346.[Abstract/Free Full Text]

27. Fuledsi B, Limburg M, Bereczki D, Michels RPJ, Neuwirth G, Legemate D, Valikovics A, Csiba L. Impairment of cerebrovascular reactivity in long-term type I diabetes. Diabetes. 1997;46:1840–1845.[Abstract]

28. Tiecks FP, Douville CBA, Byrd S, Lam AM, Newell DW. Evaluation of impaired cerebral autoregulation by the Valsalva maneuver. Stroke. 1996;27:1177–1182.[Abstract/Free Full Text]

29. Mahony PJ, Panerai RB, Deverson ST, Hayes PD, Evans DH. Assessment of the thigh cuff technique for measurement of dynamic cerebral autoregulation. Stroke. 2000;31:476–480.[Abstract/Free Full Text]

30. Kastrup A, Dichgans J, Niemeier M, Schabet M. Changes of cerebrovascular CO2 reactivity during normal aging. Stroke. 1998;29:1311–1314.[Abstract/Free Full Text]

31. White R, Deane C, Vallance P, Markus HS. Nitric oxide synthase inhibition in humans reduces cerebral blood flow but not the hyperemic response to hypercapnia. Stroke. 1998;29:467–472.[Abstract/Free Full Text]

32. Thorin E, Nguyen T, Bouthillier A. Control of vascular tone by endogenous endothelin-1 in human pial arteries. Stroke. 1998;29:175–180.[Abstract/Free Full Text]

33. Hongo K, Nakagomi T, Kassell NF, Sasaki T, Lehman M, Vollmer DG, Tsukahara T, Ogawa H, Torner J. Effects of aging and hypertension on endothelium-dependent vascular relaxation in rat carotid artery. Stroke. 1988;19:892–897.[Abstract/Free Full Text]

34. Blake MJ, Panerai RB, Potter JF. Systemic blood pressure levels do not influence dynamic cerebral autoregulatory response to depressor and pressor stimuli in older people. J Hum Hypertens. 2000;13:882–883. Abstract.

35. Poulin MJ, Robbins PA. Indexes of flow and cross-sectional area of the middle cerebral artery using Doppler ultrasound during hypoxia and hypercapnia in humans. Stroke. 1996;27:2244–2250.[Abstract/Free Full Text]

36. Deverson S, Evans DH. Using Doppler signal power to detect changes in vessel size: a feasibility study using a wall-less flow phantom. Ultrasound Med Biol. 2000;26:593–602.[Medline] [Order article via Infotrieve]

37. Newell DW, Aaslid R, Lam A, Mayberg TS, Winn HR. Comparison of flow and velocity during dynamic autoregulation testing in humans. Stroke. 1994;25:793–797.[Abstract]

38. Serrador JM, Picot PA, Rutt BK, Shoemaker JK, Bondar RL. MRI measures of middle cerebral artery diameter in conscious humans during simulated orthostasis. Stroke. 2000;31:1672–1678.[Abstract/Free Full Text]

39. Giller CA, Bowman G, Dyer H, Mootz L, Krippner W. Cerebral arterial diameters during changes in blood pressure and carbon dioxide during craniotomy. Neurosurgery. 1993;32:737–742.[Medline] [Order article via Infotrieve]




This article has been cited by other articles:


Home page
Anesth. Analg.Home page
V. Minville, K. Asehnoune, S. Salau, B. Bourdet, B. Tissot, V. Lubrano, and O. Fourcade
The Effects of Spinal Anesthesia on Cerebral Blood Flow in the Very Elderly
Anesth. Analg., April 1, 2009; 108(4): 1291 - 1294.
[Abstract] [Full Text] [PDF]


Home page
Exp PhysiolHome page
R. A. I. Lucas, J. D. Cotter, S. Morrison, and P. N. Ainslie
The effects of ageing and passive heating on cardiorespiratory and cerebrovascular responses to orthostatic stress in humans
Exp Physiol, October 1, 2008; 93(10): 1104 - 1117.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
J. P. Fisher, S. Ogoh, C. N. Young, P. B. Raven, and P. J. Fadel
Regulation of middle cerebral artery blood velocity during dynamic exercise in humans: influence of aging
J Appl Physiol, July 1, 2008; 105(1): 266 - 273.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
E. L. Sammons, N. J. Samani, S. M. Smith, W. E. Rathbone, S. Bentley, J. F. Potter, and R. B. Panerai
Influence of noninvasive peripheral arterial blood pressure measurements on assessment of dynamic cerebral autoregulation
J Appl Physiol, July 1, 2007; 103(1): 369 - 375.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Heart Circ. Physiol.Home page
R. B. Panerai, P. J. Eames, and J. F. Potter
Multiple coherence of cerebral blood flow velocity in humans
Am J Physiol Heart Circ Physiol, July 1, 2006; 291(1): H251 - H259.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
H. Guo, N. Tierney, F. Schaller, P. B. Raven, S. A. Smith, and X. Shi
Cerebral autoregulation is preserved during orthostatic stress superimposed with systemic hypotension
J Appl Physiol, June 1, 2006; 100(6): 1785 - 1792.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Heart Circ. Physiol.Home page
R. B. Panerai, M. Moody, P. J. Eames, and J. F. Potter
Dynamic cerebral autoregulation during brain activation paradigms
Am J Physiol Heart Circ Physiol, September 1, 2005; 289(3): H1202 - H1208.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
J. M. Serrador, F. A. Sorond, M. Vyas, M. Gagnon, I. D. Iloputaife, and L. A. Lipsitz
Cerebral pressure-flow relations in hypertensive elderly humans: transfer gain in different frequency domains
J Appl Physiol, January 1, 2005; 98(1): 151 - 159.
[Abstract] [Full Text] [PDF]


Home page
Br J AnaesthHome page
I. K. Moppett and R. P. Mahajan
Transcranial Doppler ultrasonography in anaesthesia and intensive care
Br. J. Anaesth., November 1, 2004; 93(5): 710 - 724.
[Full Text] [PDF]


Home page
J. Neurol. Neurosurg. PsychiatryHome page
E W Lang, J Lagopoulos, J Griffith, K Yip, A Yam, Y Mudaliar, H M Mehdorn, and N W C Dorsch
Cerebral vasomotor reactivity testing in head injury: the link between pressure and flow
J. Neurol. Neurosurg. Psychiatry, August 1, 2003; 74(8): 1053 - 1059.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
B. J. Carey, R. B. Panerai, and J. F. Potter
Effect of Aging on Dynamic Cerebral Autoregulation During Head-Up Tilt
Stroke, August 1, 2003; 34(8): 1871 - 1875.
[Abstract] [Full Text] [PDF]


Home page
J. Neurol. Neurosurg. PsychiatryHome page
P J Eames, M J Blake, S L Dawson, R B Panerai, and J F Potter
Dynamic cerebral autoregulation and beat to beat blood pressure control are impaired in acute ischaemic stroke
J. Neurol. Neurosurg. Psychiatry, April 1, 2002; 72(4): 467 - 472.
[Abstract] [Full Text] [PDF]


Home page
Journal of Renin-Angiotensin-Aldosterone SystemHome page
H. L Elliott and G. T McInnes
Special management needs of the elderly hypertensive patient
Journal of Renin-Angiotensin-Aldosterone System, March 1, 2002; 3(1_suppl): S25 - S31.
[PDF]


Home page
StrokeHome page
J. Krejza, Z. Mariak, A. Y. Razumovsky, A. Bhardwaj, T.-K. Hauser, M. A. Williams, J. A. Ulatowski, M. A. Mirski, and M. T. Torbey
Effect of Age on Cerebral Blood Flow Velocity in Patients After Aneurysmal Subarachnoid Hemorrhage
Stroke, February 1, 2002; 33(2): 640 - 642.
[Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
R. Schondorf, R. Stein, R. Roberts, J. Benoit, and W. Cupples
Dynamic cerebral autoregulation is preserved in neurally mediated syncope
J Appl Physiol, December 1, 2001; 91(6): 2493 - 2502.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Carey, B. J.
Right arrow Articles by Potter, J. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Carey, B. J.
Right arrow Articles by Potter, J. F.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*Seniors' Health
Related Collections
Right arrow Brain Circulation and Metabolism
Right arrow Doppler ultrasound, Transcranial Doppler etc.
Right arrow Other Vascular biology