Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Intraorbital pressure–volume characteristics in a piglet model: In vivo pilot study

  • Yasin Hamarat ,

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    yasin.hamarat@ktu.lt

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

  • Laimonas Bartusis,

    Roles Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

  • Vilma Putnynaite,

    Roles Data curation

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

  • Rolandas Zakelis,

    Roles Data curation

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

  • Mantas Deimantavicius,

    Roles Data curation

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

  • Vilma Zigmantaite,

    Roles Data curation, Formal analysis, Methodology

    Affiliation Biological Research Center, Lithuanian University of Health Sciences, Kaunas, Lithuania

  • Ramunė Grigaleviciute,

    Roles Data curation, Formal analysis

    Affiliation Biological Research Center, Lithuanian University of Health Sciences, Kaunas, Lithuania

  • Audrius Kucinskas,

    Roles Data curation, Supervision

    Affiliation Biological Research Center, Lithuanian University of Health Sciences, Kaunas, Lithuania

  • Evaldas Kalvaitis,

    Roles Data curation, Formal analysis, Validation

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

  • Arminas Ragauskas

    Roles Formal analysis, Funding acquisition, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliation Health Telematics Science Institute, Kaunas University of Technology, Kaunas, Lithuania

Abstract

Intracranial pressure measurement is frequently used for diagnosis in neurocritical care but cannot always accurately predict neurological deterioration. Intracranial compliance plays a significant role in maintaining cerebral blood flow, cerebral perfusion pressure, and intracranial pressure. This study’s objective was to investigate the feasibility of transferring external pressure into the eye orbit in a large-animal model while maintaining a clinically acceptable pressure gradient between intraorbital and external pressures. The experimental system comprised a specifically designed pressure applicator that can be placed and tightly fastened onto the eye. A pressure chamber made from thin, elastic, non-allergenic film was attached to the lower part of the applicator and placed in contact with the eyelid and surrounding tissues of piglets’ eyeballs. External pressure was increased from 0 to 20 mmHg with steps of 1 mmHg, from 20 to 30 mmHg with steps of 2 mmHg, and from 30 to 50 mmHg with steps of 5 mmHg. An invasive pressure sensor was used to measure intraorbital pressure directly. An equation was derived from measured intraorbital and external pressures (intraorbital pressure = 0.82 × external pressure + 3.12) and demonstrated that external pressure can be linearly transferred to orbit tissues with a bias (systematic error) of 3.12 mmHg. This is close to the initial intraorbital pressure within the range of pressures tested. We determined the relationship between intraorbital compliance and externally applied pressure. Our findings indicate that intraorbital compliance can be controlled across a wide range of 1.55 to 0.15 ml/mmHg. We observed that external pressure transfer into the orbit can be achieved while maintaining a clinically acceptable pressure gradient between intraorbital and external pressures.

Introduction

Intracranial pressure (ICP) is the pressure of fluids such as the cerebrospinal fluid (CSF) within the skull [1, 2]. The measurement of ICP is commonly used as a tool in neurocritical care to diagnose and monitor conditions such as traumatic brain injury (TBI), stroke, and intracranial tumors. Continuous ICP monitoring is crucial for certain groups of patients who could have sudden pathophysiological ICP variation, such as TBI patients [3]. While ICP monitoring is considered an important tool in the management of these conditions, it is not always predictive of structural and functional neurological deterioration [4]. ICP monitoring cannot directly measure or reflect the actual damage that the brain tissue may be experiencing, which can result in cases where patients who had normal ICP readings still suffering from too low intracranial compliance (ICC).

The Monro-Kellie doctrine is a fundamental concept in neurology that describes the relationship between ICP and the volume of brain tissue, cerebrospinal fluid (CSF), and blood in the intracranial compartment [5, 6]. The relationship between intracranial volume and pressure is governed by this doctrine [7, 8]. Therefore, the doctrine highlights the importance of maintaining normal intracranial pressure and the significance of understanding ICC and elastance.

ICC and intraorbital compliance (IORC) are two important physiological parameters that influence the pressure and volume changes in the brain and orbit, respectively [9]. ICC refers to the ratio of the change in intracranial volume to the change in ICP. IORC relates to the ratio of the change in intraorbital volume (IOV) to the change in intraorbital pressure (IORP). ICC plays a significant role in maintaining cerebral blood flow, and cerebral perfusion pressure [10].

ICC reflects the capacity of the skull contents to expand or contract in response to volume changes in cerebral blood, brain tissue, and cerebrospinal fluid. A decrease in ICC can lead to cerebral ischemia, herniation, and ultimately, irreversible neurological damage. Increased ICP can lead to a serious life-threatening medical condition such as worsening of intracranial pathology [4] and may be fatal. Thus, monitoring ICC in addition to ICP can aid clinicians in identifying patients who are at high risk of developing neurological complications and guide the decision-making process for treatment [11, 12].

We hypothesize the possibility of non-invasive measurement of intracranial compliance by identifying the equilibrium between ICC and IORC. However, this remains speculative given the absence of data on the relationship between ICC and IORC. The hypothesis could be achieved through the replication of intracranial pressure–volume dynamics within the intraorbital structure by incrementally introducing predetermined volumes into the pressure chamber. In this study, we tested the possibility to transfer external pressure into the eye orbit with a clinically acceptable gradient of intraorbital and external pressure in a large-animal model as a part of ongoing clinical studies. We also experimentally tested the possibility of managing intraorbital compliance and changing it in a wide range by applying an external pressure to the closed eyelid of an animal.

Methods

Preparation of animals

A local Lithuanian breed of piglets was used in this study. Animals were housed in an accredited animal-use facility at the LUHS Biological Centre in Kaunas, Lithuania. Piglets were obtained from a licensed supplier, adapted to the facility environment, and maintained for a minimum of 7 days. The study was approved by the national board for the use of laboratory animals (registration no. G2−186), and animal care complied with the European Commission Requirements for Use of Laboratory Animals. Piglets were anesthetized using 3 mg/kg of xylazine hydrochloride (Sedaxylan, Eurovet Animal Health, Bladel, Netherlands), 20 mg/kg of ketamine hydrochloride (Ketamidor, Richter Pharma, Wels, Austria) and 3 μg/kg of fentanyl citrate (Fentanyl Kalceks, AS Kalceks, Riga, Latvia).

Piglets were inducted intravenously using 8 mg/kg of sodium thiopental (Thiopental VUAB, VUAB pharma A.S., Roztoky, Czech Republic) and intubated using a 6-inch cuffed tracheal tube (Intersurgical Ltd, Wokingham, UK). During all procedures, analgesic was injected continuously using an infusion pump (Draeger, Lubeck, Germany), and general anaesthesia was maintained using inhaled sevoflurane (Sevoflo, Abbot, IL, USA). Electrocardiogram, arterial blood pressure, respiration, temperature, and oxygen saturation were monitored, and the stable condition of each animal was ensured. The ventilation volume and frequency were controlled at 8 ml/kg and 12 breaths/min, respectively, and body temperature was maintained with a thermal blanket (37°C ± 2°C). The dilator was used to separate the eyelids, and a 14 G intravenous catheter was used to insert a pressure sensor (Codman microsensor, Integra LifeSciences, NJ, USA) into the eye orbit through the location of the third eyelid. The site of the implanted pressure sensor was identified with an ultrasonic scanner (Mindray, Shenzhen, China).

Experimental setup

The experimental system consisted of a specially designed external pressure applicator that can be positioned over the orbit and tightly fixed to a bed frame using an articulated arm (Fig 1). A pressure chamber was attached at the bottom of the external pressure applicator. This chamber was made of a flexible, non-allergenic film and came into contact with the closed eyelid and the surrounding tissues of the orbit. Inside the chamber, water is injected to elevate the external pressure, thereby influencing the IORP and volume. A pressure sensor (HSCDANT001PGSA3, Honeywell, NC, USA) was installed within the external pressure applicator to obtain pressure data, which are transmitted to a laptop for display and analysis. To ensure complete hermetization between the eye socket and the external pressure applicator, a two-component plastic material, vinyl polysiloxane (Panasil putty soft, Kettenbach GmbH, Eschenburg, Germany), was applied around the external pressure applicator.

thumbnail
Fig 1. Diagram of the external pressure applicator and experimental setup.

IORP(t)–intraorbital pressure over time; EXTP(t)–external pressure over time.

https://doi.org/10.1371/journal.pone.0296780.g001

In the experimental protocol, the external pressure was incrementally raised from 0 to 20 mmHg in steps of 1 mmHg. Subsequently, it was increased from 20 to 30 mmHg in steps of 2 mmHg and then from 30 to 50 mmHg in steps of 5 mmHg. To attain each specific external pressure step in the range of 0 to 50 mmHg, the necessary volume of water was injected into the chamber. At each external pressure step, we maintained a time interval of approximately 10 to 15 seconds to record Codman readings (IORP) and the corresponding volume of injected water. This procedure was considered as the first measurement set. Next, in the second measurement set, we reversed the order of pressure steps by gradually reducing the external pressure from 50 to 0 mmHg by withdrawing water from the chamber using a syringe pump.

Statistical analysis

The data were analyzed and processed utilizing MATLAB software (version R2021a, MathWorks). The mean values ± SD (standard deviation) of IORP, volume change within the chamber, and IORC were calculated from the measurements. The compliance C of certain substances within the rigid chamber with an internal volume V and internal pressure P can be determined using the following equation: (1) where ΔV is the volume change, and ΔP is the pressure change. We conducted analyses to examine the relationships between IORP, intraorbital compliance, and the externally applied pressure on the eye socket. Additionally, we performed pressure–volume curve analyses.

Results

We have examined 6 piglet mean age of 53.3 days, mean weight 34.5 kg. The characteristics of the individual piglet are presented in Table 1. Six measurement sets from each eye orbit were obtained from piglets 3−6. Fewer than six measurement sets per orbit were obtained for the first and second piglets due to initial technical issues. A total of 68 measurement sets were obtained from all six piglets (32 from the right orbit and 36 from the left orbit). The numbers of measurement sets obtained from individual piglets are presented in Table 2.

thumbnail
Table 1. Characteristics of the piglets included in this study.

https://doi.org/10.1371/journal.pone.0296780.t001

thumbnail
Table 2. Number of measurement sets carried out in individual piglet.

https://doi.org/10.1371/journal.pone.0296780.t002

The dependency of IORP on externally applied pressure to the eye orbit of all 6 piglets (68 measurement sets) is presented in Fig 2. The linear approximation showed that there was a strong positive relationship (R2 = 0.996) between the IORP obtained with an invasive Codman monitor and the pressure applied externally to the orbit. A linear equation was obtained, IORP = 0.82EXTP+3.12, which demonstrates that external pressure can be transferred to the orbit tissues linearly with a bias (systematic error) of 3.12 mmHg which is close to initial IORP, in the tested pressure range.

thumbnail
Fig 2. Dependence of intraorbital pressure measured using invasive Codman monitor on externally applied pressure to the orbit.

Blue dots represent mean values of all 68 measurement sets, while error bars represent ±SD (standard deviation). Green dashed line represents liner approximation of the measured mean values. IORP–intraorbital pressure; EXTP–external pressure.

https://doi.org/10.1371/journal.pone.0296780.g002

The dependency of IORP on the volume change of water inside the chamber of the pressure applicator from 5 piglets (54 measurement sets) is presented in Fig 3. The initial data points in Fig 3 provide a typical illustration of the venous volume being expelled from the rigid orbital cavity. Consequently, there is no rise in IORP when the volume is increased. The dependency of IORC on externally applied pressure to the orbit of all 5 piglets (54 measurement sets) is presented in Fig 4.

thumbnail
Fig 3. Pressure–volume curve of the orbit.

Blue dots represent mean values of 54 measurement sets, while error bars represent ±SD (standard deviation). Green dashed line represents exponential approximation of the measured mean values. IORP–intraorbital pressure; ΔV–volume change.

https://doi.org/10.1371/journal.pone.0296780.g003

thumbnail
Fig 4. Dependense of intraorbital compliance on externally applied pressure to the orbit.

Blue dots represent mean values of 54 measurement sets, while error bars represent ±SD (standard deviation). Green dashed line represents exponential approximation of the measured mean values. IORC–intraorbital compliance; EXTP–external pressure.

https://doi.org/10.1371/journal.pone.0296780.g004

Discussion

The intracranial pressurevolume characteristic and its nature has been described decades ago [1, 2, 13]. It is important to obtain information about the pressurevolume reserve capacity at which a neurosurgical or neurological patient’s brain is currently sustaied [2, 4, 14]. This can be achieved by measuring ICC together with ICP monitoring in terms of the change in volume per unit change in pressure (ΔV/ΔP) [15]. However, ICC monitoring has no standard procedure in clinical practice due to the difficulty to use, safety concerns, or lack of validation of emergent monitoring methods [11, 16].

Intraocular parameters refer to measurements taken within the eyeball, such as intraocular pressure, which should fall within the normal range of 1021 mmHg for adult humans [1719]. In contrast, intraorbital parameters refer to measurements taken within the orbit, such as IORP, which should fall within the normal range of 36 mmHg for adult humans [3, 20, 21]. In this animal study, we found an average initial IORP of 5.32 mmHg (first data point in Fig 2), while previous studies by Zoumalan et al. and Enz et al. reported mean orbital pressures of 4.1 mmHg and 2.5 mmHg, respectively [22, 23]. However, the initial data points in Fig 3 are a typical example of venous volume egress from the unyielding orbital cavity [24]. As a result, there is no elevation in IORP with an increase in volume.

The animal study showed a linear dependancy between the IORP and the pressure externally applied to the orbit (R2 = 0.996 in a pressure range of 0 to 50 mmHg) when it was physically confined by the pressure applicator to mimic the intracranial compartment as a rigid closed system. However, two observations should be mentioned. First, after inserting invasive pressure sensor into the orbit, the Codman device showed a non-zero values of initial pressure, even though external pressure was not applied. The invasive Codman device showed no pressure increase until the point when externally applied pressure exceeded the initial IORP. Above that value, each step increase of the external pressure was linearly transferred to the orbit. Second, the maximum externally applied pressure was set to 50 mmHg, while the average measured IORP value of all 68 measurement sets was 44.48 mmHg (SD = 3.97 mmHg). This demonstrates a clinically acceptable pressure gradient within a higher pressure range that aligns with a previously published consensus report [25].

This pilot study involved measuring the volume of water injected into a physically rigid and hermetic external pressure applicator at each externally applied pressure step in order to obtain the IORPvolume relationship. Exponential behavior (R2 = 0.992) of IORP was observed in a volume range of 0 to 12.84 ml up to a pressure of 45 mmHg, which is consistent with previous studies on humans [22, 23, 26]. Zoumalan et al. reported an increase in orbital pressure up to 68.4 mmHg after injecting 22 ml of blood into the retrobulbar space of 10 human cadaver orbits [22]. Enz et al. demonstrated an increase in IORP up to 12.8 mmHg after injecting 7 ml of 2% mepivacaine solution into the orbital compartment in 20 patients undergoing cataract surgery under local anesthesia [23].

Kim et al. measured an increase in IORP to 24.8 mmHg in response to orbital retraction up to 2.0 cm in 9 patients who underwent transorbital surgery. They also found an increase in IORP up to 35.2 mmHg in response to retraction to 2.5 cm in five cadavers [26]. Our study findings are consistent with the exponential relationship observed between intraocular pressure and volume [27, 28], as well as the intracranial pressurevolume relationship [29]. We have calculated the dependency of IORC on externally applied pressure and found that it can be managed within a broad range of 1.55 to 0.15 ml/mmHg. These results are in line with an earlier clinical investigation that measured ICC range between 1.407–0.141 ml/mmHg [30].

We hypothesize the potential of a non-invasive method to measure intracranial compliance by identifying the equilibrium between ICC and IORC, by a similar balancing principle [31]. This approach involves replicating the intracranial pressure–volume dynamics within the intraorbital structure and gradually introducing predetermined volumes into the pressure chamber. Nevertheless, at present, we lack any data regarding the correlation between ICC and IORC.

Conclusions

In this pilot animal study, we observed that it is possible to transfer external pressure to the eye orbit while maintaining an acceptably low pressure gradient between intraorbital and external pressures. This was achieved by using thin elastic non-allergenic film between a rigid hermetic pressure applicator and the closed eyelid of an animal and by choosing the appropriate material for a complete hermetization between the eye socket and the applicator. It has been shown that intraorbital compliance can be controlled over a range of 1.55 to 0.15 ml/mmHg.

References

  1. 1. Czosnyka M, Pickard JD. Monitoring and interpretation of intracranial pressure. J Neurol Neurosurg Psychiatry. 2004;75: 813–821. pmid:15145991
  2. 2. Steiner LA, Andrews PJD. Monitoring the injured brain: ICP and CBF. Br J Anaesth. 2006;97: 26–38. pmid:16698860
  3. 3. Lucinskas P, Deimantavicius M, Bartusis L, Zakelis R, Misiulis E, Dziugys A, et al. Human ophthalmic artery as a sensor for non-invasive intracranial pressure monitoring: numerical modeling and in vivo pilot study. Sci Rep. 2021;11: 4736. pmid:33637806
  4. 4. Lai H-Y, Lee C-H, Lee C-Y. The Intracranial Volume Pressure Response in Increased Intracranial Pressure Patients: Clinical Significance of the Volume Pressure Indicator. PLoS One. 2016;11: e0164263. pmid:27723794
  5. 5. Kalisvaart ACJ, Wilkinson CM, Gu S, Kung TFC, Yager J, Winship IR, et al. An update to the Monro-Kellie doctrine to reflect tissue compliance after severe ischemic and hemorrhagic stroke. Sci Rep. 2020;10: 22013. pmid:33328490
  6. 6. Kim D-J, Czosnyka Z, Kasprowicz M, Smieleweski P, Baledent O, Guerguerian A-M, et al. Continuous monitoring of the Monro-Kellie doctrine: is it possible? J Neurotrauma. 2012;29: 1354–1363. pmid:21895518
  7. 7. Wilson MH. Monro-Kellie 2.0: The dynamic vascular and venous pathophysiological components of intracranial pressure. J Cereb Blood Flow Metab. 2016;36: 1338–1350. pmid:27174995
  8. 8. Mokri B. The Monro-Kellie hypothesis: applications in CSF volume depletion. Neurology. 2001;56: 1746–1748. pmid:11425944
  9. 9. Otto AJ, Koornneef L, Mourits MP, Deen-van Leeuwen L. Retrobulbar pressures measured during surgical decompression of the orbit. Br J Ophthalmol. 1996;80: 1042–1045. pmid:9059266
  10. 10. Czosnyka M, Citerio G. Brain compliance: the old story with a new “et cetera”. Intensive care medicine. United States; 2012. pp. 925–927. pmid:22527086
  11. 11. Ocamoto GN, Russo TL, Mendes Zambetta R, Frigieri G, Hayashi CY, Brasil S, et al. Intracranial Compliance Concepts and Assessment: A Scoping Review. Front Neurol. 2021;12: 756112. pmid:34759884
  12. 12. Doron O, Barnea O, Stocchetti N, Or T, Nossek E, Rosenthal G. Cardiac-gated intracranial elastance in a swine model of raised intracranial pressure: a novel method to assess intracranial pressure-volume dynamics. J Neurosurg. 2020;134: 1650–1657. pmid:32503002
  13. 13. Avezaat CJ, van Eijndhoven JH, Wyper DJ. Cerebrospinal fluid pulse pressure and intracranial volume-pressure relationships. J Neurol Neurosurg Psychiatry. 1979;42: 687–700. pmid:490174
  14. 14. Eide PK. The correlation between pulsatile intracranial pressure and indices of intracranial pressure-volume reserve capacity: results from ventricular infusion testing. J Neurosurg. 2016;125: 1493–1503. pmid:26918478
  15. 15. Stocchetti N, Maas AIR, Chieregato A, van der Plas AA. Hyperventilation in head injury: a review. Chest. 2005;127: 1812–1827. pmid:15888864
  16. 16. Enblad P. Continuous monitoring of intracranial compliance in neurointensive care (Editorial by invitation). Acta neurochirurgica. Austria; 2018. pp. 2289–2290. pmid:30334098
  17. 17. Wang YX, Xu L, Wei W Bin, Jonas JB. Intraocular pressure and its normal range adjusted for ocular and systemic parameters. The Beijing Eye Study 2011. PLoS One. 2018;13: e0196926. pmid:29771944
  18. 18. European Glaucoma Society Terminology and Guidelines for Glaucoma, 5th Edition. Br J Ophthalmol. 2021;105: 1–169. pmid:34675001
  19. 19. Morgan WH, Balaratnasingam C, Lind CRP, Colley S, Kang MH, House PH, et al. Cerebrospinal fluid pressure and the eye. Br J Ophthalmol. 2016;100: 71–77. pmid:25877896
  20. 20. Lima V, Burt B, Leibovitch I, Prabhakaran V, Goldberg RA, Selva D. Orbital compartment syndrome: the ophthalmic surgical emergency. Surv Ophthalmol. 2009;54: 441–449. pmid:19539832
  21. 21. Turgut B, Karanfil FC, Turgut FA. Orbital Compartment Syndrome. Beyoglu eye J. 2019;4: 1–4. pmid:35187423
  22. 22. Zoumalan CI, Bullock JD, Warwar RE, Fuller B, McCulley TJ. Evaluation of intraocular and orbital pressure in the management of orbital hemorrhage: an experimental model. Arch Ophthalmol (Chicago, Ill 1960). 2008;126: 1257–1260. pmid:18779487
  23. 23. Enz TJ, Papazoglou A, Tappeiner C, Menke MN, Benitez BK, Tschopp M. Minimally invasive measurement of orbital compartment pressure and implications for orbital compartment syndrome: a pilot study. Graefe’s Arch Clin Exp Ophthalmol = Albr von Graefes Arch fur Klin und Exp Ophthalmol. 2021;259: 3413–3419. pmid:34097110
  24. 24. Kiel JW. The effect of arterial pressure on the ocular pressure-volume relationship in the rabbit. Exp Eye Res. 1995;60: 267–278. pmid:7789407
  25. 25. Andrews PJD, Citerio G, Longhi L, Polderman K, Sahuquillo J, Vajkoczy P. NICEM consensus on neurological monitoring in acute neurological disease. Intensive Care Med. 2008;34: 1362–1370. pmid:18398598
  26. 26. Kim W, Moon JH, Kim EH, Hong C-K, Han J, Hong JB. Optimization of orbital retraction during endoscopic transorbital approach via quantitative measurement of the intraocular pressure—[SevEN 006]. BMC Ophthalmol. 2021;21: 76. pmid:33557770
  27. 27. Pallikaris IG, Dastiridou AI, Tsilimbaris MK, Karyotakis NG, Ginis HS. Ocular rigidity. Expert Rev Ophthalmol. 2010;5: 343–351.
  28. 28. Eisenlohr JE, Langham ME, Maumenee AE. MANOMETRIC STUDIES OF THE PRESSURE-VOLUME RELATIONSHIP IN LIVING AND ENUCLEATED EYES OF INDIVIDUAL HUMAN SUBJECTS. Br J Ophthalmol. 1962;46: 536–548. pmid:18170811
  29. 29. Marmarou A, Shulman K, LaMorgese J. Compartmental analysis of compliance and outflow resistance of the cerebrospinal fluid system. J Neurosurg. 1975;43: 523–534. pmid:1181384
  30. 30. Piper I, Spiegelberg A, Whittle I, Signorini D, Mascia L. A comparative study of the Spiegelberg compliance device with a manual volume-injection method: a clinical evaluation in patients with hydrocephalus. Br J Neurosurg. 1999;13: 581–586. pmid:10715727
  31. 31. Ragauskas A, Matijosaitis V, Zakelis R, Petrikonis K, Rastenyte D, Piper I, et al. Clinical assessment of noninvasive intracranial pressure absolute value measurement method. Neurology. 2012;78: 1684–1691. pmid:22573638