- •Ocular Blood Flow
- •Contents
- •1: Anatomy of the Ocular Vasculatures
- •Core Messages
- •1.1 Limbus and Conjunctiva
- •1.1.1 Cornea
- •1.1.2 Vasculature Distribution in the Anterior Segment
- •1.1.3 The Conjunctiva
- •1.1.3.1 The Conjunctival Arterial Supply
- •1.1.3.2 The Conjunctival Veins
- •1.2 Uveal Tract
- •1.2.1 The Iris
- •1.2.1.1 The Major Arterial Circle of the Iris
- •1.2.2 Ciliary Body and Processes
- •1.2.3 Choroid and Suprachoroid
- •1.2.3.1 Development of the Choroidal Vasculature
- •1.2.3.2 Arteries
- •1.2.3.3 Choroidal Veins (Vortex Veins)
- •1.2.3.4 Choriocapillaris
- •1.3 Optic Nerve Vasculature
- •1.4 Retina
- •1.4.1 Development of the Retinal Vasculature
- •1.4.2 Adult Retinal Vasculature
- •1.4.3 Nonprimate Adult Retinal Vasculatures
- •1.5 Conclusions
- •References
- •Core Messages
- •2.1 Introduction
- •2.3 Stochastic Error in the Entrapment of Microspheres
- •2.4 Methodological Errors and Practical Advice
- •2.4.1 Size of the Microspheres
- •2.4.2 Physical Characteristics of Microspheres
- •2.4.4 Dissection
- •2.4.5 Detection of RM and NAM
- •2.4.6 Detection of CM and FM
- •2.5 Biological Variation
- •2.5.1 Blood Pressure
- •2.5.3 Arterial Blood Gases
- •2.5.4 Other Possible Causes for Biological Variability
- •2.6 Summary for the Clinician
- •References
- •3: Laser Doppler Flowmetry in Animals
- •Core Messages
- •3.1 Introduction
- •3.2 History
- •3.3 Theory
- •3.4 Validation
- •3.5 Calibration
- •3.6 Zero Offset
- •3.7 Effects of Oxygen
- •3.9 Measurement Depth and Sampling Volume
- •3.10 Caveats
- •References
- •4: Oxygen Measurements in Animals
- •Core Messages
- •4.1 Introduction
- •4.2.1 Oxygen Electrodes
- •4.2.2 Hypoxyprobe
- •4.2.3 Magnetic Resonance Imaging
- •4.2.4 Phosphorescence Decay
- •4.2.5 Oximetry
- •4.3.1 Vitreal Oxygen
- •4.3.2 Intraretinal Oxygen
- •4.4 Oxygen in Avascular Retinas
- •4.5 Analysis of Retinal Oxygen Utilization
- •4.5.1 Fick Principle Analyses
- •4.5.4 Other Diffusion Models
- •4.6 Physiological Variations in Retinal Oxygen
- •4.6.1 Light
- •4.6.2 Hypoxia
- •4.6.3 Hyperoxia
- •4.6.4 Hypercapnia
- •4.7 Pathophysiology and Retinal Oxygen
- •4.7.1 Vascular Occlusion
- •4.7.2 Diabetes
- •4.7.3 Retinal Detachment
- •4.7.4 Retinal Degenerative Diseases
- •4.7.5 Retinopathy of Prematurity
- •4.8 Retinal Molecular Changes Related to Oxygen
- •4.9 Oxygen in the Optic Nerve Head
- •References
- •Core Messages
- •5.1 Measuring Technique
- •5.2 Normal Values
- •5.3 Retinal Pathologies
- •5.3.1 Diabetes Mellitus
- •5.3.2 Central Retinal Vein Occlusion
- •5.4 Summary
- •References
- •Core Messages
- •6.1 Introduction
- •6.1.1 Anatomy
- •6.3 Vessel Diameter Measurements Based on Photographic and Digitally Stored Images
- •6.3.1 Basics for Measurements on Stored Images
- •6.3.1.1 Measuring Principle
- •6.3.1.4 Problems and Measuring Errors
- •6.3.1.5 Physiological Variability of Vessel Diameter
- •6.3.2 Methods
- •6.3.2.2 Microdensitometry Based on Photographic Negatives
- •6.3.2.3 Measurements Based on Digital Images
- •6.4 Diameter Assessment for Blood Flow
- •6.4.1 Assessment of Flow by Use of Doppler Technique (CLBF)
- •6.5 Retinal Vessel Analysis
- •6.5.1 Basics of Retinal Vessel Analysis
- •6.5.2 Static Vessel Analysis
- •6.5.3 Results and Limits of Static Vessel Analysis
- •6.5.4 Results and Limits of Dynamic Vessel Analysis
- •6.5.4.1 Stimulation with Flicker Light
- •6.5.4.2 Other Provocation Tests
- •6.5.5 Systems Available for Dynamic Vessel Analysis
- •6.6 Further Perspectives
- •References
- •Core Messages
- •7.1 Introduction
- •7.2 Retinal Laser Doppler Velocimetry
- •7.2.1 The Doppler Effect
- •7.2.2 Electric Field Scattered by Singly Scattering Particles Moving in a Capillary Tube
- •7.2.5 Experimental Test of the Bidirectional LDV Technique
- •7.2.7 The DSPS for RBCs Moving in a Retinal Vessel
- •7.2.7.1 Multiple Scattering of Blood
- •7.2.7.2 DSPS from RBCs Flowing in a Glass Capillary Tube
- •7.2.7.3 DSPS from Human Retinal Vessels
- •7.2.7.4 Exploring the Scattering Process
- •7.2.9 Instrumentation
- •7.2.10 Blood Flow in Retinal Vessels
- •7.2.12 Limitations, Safety, and Future Directions of the LDV Technique
- •7.2.13 Physiologic and Clinical Applications (Brief Overview)
- •7.3.1 The DSPS for RBCs Moving in the Microvascular Bed of a Tissue
- •7.3.2 Hemodynamic Parameters Derived from the DSPS
- •7.3.3 Detection Scheme for Optic Nerve and Subfoveal Choroidal Blood Flow
- •7.3.4 Critical Questions Regarding the Application of LDF to Ocular Blood Flow
- •7.3.4.1 LDF Sample Volume
- •7.3.4.2 Linearity of LDF
- •7.3.4.3 Scattering Scheme
- •7.3.5 Reproducibility of LDF
- •7.3.6 Applications of LDF
- •7.4 Summary for the Clinician
- •References
- •8: Color Doppler Imaging
- •Core Messages
- •8.1 Principles
- •8.2 Instrumentation
- •8.3 Procedure
- •8.4 Outcome Variables
- •8.5 Reproducibility
- •8.6 Physiological and Pharmacological Stimuli
- •8.7 Results in Patients with Disease
- •8.8 Advantages and Limitations
- •References
- •9: Other Approaches
- •Core Messages
- •9.1 Blue Field Entoptic Technique
- •9.1.1 Laser Speckle Technique
- •9.1.2 Pulsatile Ocular Blood Flow
- •9.1.2.1 Laser Interferometry
- •References
- •10: Systemic Determinants
- •Core Messages
- •10.1 Introduction
- •10.1.1 Ocular and Systemic Blood Flow
- •10.2 Local Skin Cooling Effect
- •10.2.1 Choroidal Blood Flow
- •10.2.2 Retinal Blood Flow
- •10.3 Aerobic Exercise
- •10.3.1 Choroidal Blood Flow
- •10.3.2 Macular Blood Flow
- •10.3.3 Retinal Blood Flow
- •10.4 Neural Activation
- •10.4.1 Valsalva Maneuver
- •10.4.2 Nicotine
- •10.5 Blood Pressure Versus Ocular Perfusion Pressure
- •10.5.1 Increased Ocular Perfusion Pressure
- •10.5.1.1 Choroidal Blood Flow
- •10.5.2 Decreased Ocular Perfusion Pressure
- •10.5.2.1 Choroidal Blood Flow
- •10.5.2.2 Optic Nerve Head Blood Flow
- •10.5.3 Neural Retinal Function
- •10.6 Blood Gases
- •10.6.1 Hyperoxia and Blood Flow
- •10.6.3 Hypoxia and Pulsatile Choroidal Blood Flow
- •10.6.4 Hyperoxia, Hypercapnia, and Retinal Function
- •10.6.5 Hypoxia, Hyperoxia, and Retinal Function
- •10.7 Regional Choroidal Perfusion
- •10.7.1 Cones Versus Rods: Structure and Function
- •10.7.2 Choroidal Angioarchitecture
- •10.7.3 Dark Adaptation
- •10.7.4 Protracted Blue Flicker
- •10.8 Aging
- •10.8.1 Structure
- •10.8.2 Blood Flow
- •10.8.3 Retinal Function
- •References
- •11: Local Determinants
- •Core Messages
- •11.1 Introduction
- •11.2 Ocular Perfusion Pressure, IOP, and the Ocular Starling Resistor Effect
- •11.3 Types of Local Control
- •11.3.1 Myogenic Local Control
- •11.3.2 Metabolic Local Control
- •11.3.3 Flow-Mediated Vasodilation
- •11.3.4 Flow Control by Intercellular Conduction
- •11.4 Ocular Local Control
- •11.4.1 Optic Nerve Head (ONH)
- •11.4.2 Choroid
- •11.4.3 Retina
- •11.4.4 Ciliary Body
- •11.4.5 Iris
- •11.5 Caveats
- •11.6 Summary for the Clinician
- •References
- •12: Neural Control of Ocular Blood Flow
- •Core Messages
- •12.1 Overview of Ocular Blood Supplies and Their Neural Control
- •12.2 Neural Control of Optic Nerve and Retinal Blood Flow
- •12.3 Neural Control of Iridial and Ciliary Body Blood Flow
- •12.4 Neural Control of Blood Flow in Orbital Glands
- •12.5 Neural Control of Choroidal Blood Flow
- •12.5.1 Importance of the Choroid
- •12.5.2 Choroidal Innervation: Overview of Anatomy
- •12.5.3 Facial Nucleus Parasympathetic Input
- •12.5.3.4 Choroidal Autoregulation and the PPG Input to Choroid – Mammals
- •12.5.3.8 Choroidal Autoregulation and the PPG Input to Choroid – Birds
- •12.5.4 Oculomotor Nucleus Parasympathetic Input
- •12.5.4.1 Ciliary Ganglion Circuitry – Mammals
- •12.5.4.2 Function of the EW-Ciliary Ganglion Circuit – Mammals
- •12.5.4.3 Ciliary Ganglion Circuitry – Birds
- •12.5.4.4 Function of vSCN-EWM-Ciliary Ganglion Circuit – Birds
- •12.5.5 Sympathetic Superior Cervical Ganglion Input
- •12.5.6 Trigeminal Sensory Input
- •12.5.7 Intrinsic Choroidal Neurons
- •12.5.8 Disturbed Neural Control of Choroidal Blood Flow in Aging and Retinal Disease
- •12.5.8.1 Effect of Aging on Retina and Choroid
- •12.5.8.2 Effect of Disease on Retina and Choroid
- •References
- •13: Endothelial and Adrenergic Control
- •Core Messages
- •13.1 Nitric Oxide
- •13.2 Endothelins
- •13.3 Arachidonic Acid Metabolites
- •13.4 Adrenergic Control
- •13.5 Alpha Receptors
- •13.6 Topical Administration
- •13.6.1 Clonidine
- •13.6.2 Brimonidine
- •13.6.3 Beta Receptors
- •13.6.4 Timolol
- •13.6.5 Human Studies
- •13.6.6 Betaxolol
- •13.6.7 Human Studies
- •13.6.8 Levobunolol
- •13.6.9 Carteolol
- •13.6.10 Serotonin
- •13.7 Carbonic Anhydrase Inhibitors
- •13.8 Acetazolamide
- •13.9 Dorzolamide
- •13.10 Retrobulbar Blood Flow
- •13.11 Retinal Blood Flow
- •13.12 Choroidal and Optic Nerve Head Blood Flow
- •13.13 Brinzolamide
- •References
- •Core Messages
- •14.1 Introduction
- •14.2 Retinal Ischemia Basic Mechanisms
- •14.3 Oxidative Stress
- •14.6 Animal Studies Relating Ischemia, Glaucoma, and Neuroprotection
- •14.6.1 Retinal Ischemia
- •14.6.6 Role of Mitochondria (Fig. 14.6)
- •References
- •Core Messages
- •15.1 Introduction
- •15.2 Retinal Blood Flow in Diabetes
- •15.3 Retinal Hypoperfusion
- •15.3.1 Mechanisms of Hypoperfusion
- •15.3.1.1 Glycaemic Control
- •15.3.1.2 Protein Kinase C
- •15.3.1.3 Ion Channel Dysfunction
- •15.4 Retinal Hyperperfusion
- •15.4.1 Mechanisms of Hyperperfusion: A Link to Hypoperfusion, Tissue Hypoxia and Retinal Leukostasis?
- •15.4.2 Retinal Autoregulation in Diabetes
- •15.5.1 Basement Membrane Thickening
- •15.5.3 Microaneurysms
- •15.5.4 Capillary Acellularity
- •15.6 Retinal Blood Flow and Vision Loss in Diabetic Retinopathy
- •15.6.1 Diabetic Macular Oedema
- •15.6.2 Proliferative Diabetic Retinopathy
- •15.7 Conclusions
- •15.8 Summary for the Clinician
- •References
- •Core Messages
- •16.1 Introduction
- •16.2 Choroidal Blood Flow
- •16.3 Systemic Vascular Factors and AMD
- •16.5 Choroidal Hemodynamic Changes in AMD
- •16.5.1 Choroidal Histopathological Vascular Changes in AMD
- •16.5.1.1 Choriocapillaris and Bruch’s Membrane in Aging and AMD
- •16.5.2 Choroidal Microcirculation in AMD
- •16.5.2.2 Choroidal Watershed Zones and Neovascularization
- •16.5.2.3 Laser Doppler Flowmetry Evaluation
- •References
- •Core Messages
- •17.1 Introduction
- •17.2 Potential Mechanisms of Ischaemic Damage in Glaucoma
- •17.2.2 Autoregulatory Disturbances
- •17.2.3 Mechanical Compression or Collapse of Vessels
- •17.2.4 Atherosclerosis
- •17.2.5 Vascular Endothelial Factors
- •17.2.6 Barriers to Nutrient Delivery
- •17.2.7 Circulating Vasoconstrictors
- •17.3 Evidence Base Supporting the Importance of Ischaemia in Glaucoma
- •17.3.1 Association and Causality
- •17.3.1.1 Reduction in Optic Nerve Head Blood Flow
- •17.3.1.2 Blood Pressure, Intraocular Pressure and Perfusion Pressure
- •17.3.1.3 Nocturnal Hypotension
- •17.3.1.4 Vasospasm
- •17.3.1.5 Endothelin and Other Circulating Peptides
- •17.3.2 Effects of Treatment
- •17.3.2.1 Calcium Channel Blockers
- •17.3.2.2 Topical Adrenergic Antagonists
- •17.3.2.4 Prostaglandin Analogues
- •17.4 Experimental Models of Ischaemia Relating to Glaucoma
- •17.4.1 Acute Ischaemia
- •17.4.2 Chronic Ischaemia
- •17.5 Summary
- •17.5.1 Diversity of Evidence
- •17.5.2 Evidence Base Compared to Intraocular Pressure
- •17.5.3 Requirements to Strengthen Evidence Base
- •References
- •Core Messages
- •18.1 Retinal Diseases
- •18.2 Uveitis
- •18.3 Optic Nerve Disorders
- •18.4 Systemic Diseases
- •References
- •Core Messages
- •19.1 Atherosclerosis
- •19.1.1 Pathogenesis of Atherosclerosis
- •19.1.2 Internal Carotid Artery Disease (ICA)
- •19.1.3 Effects on the Ocular Circulation
- •19.1.3.1 Retinal Artery Occlusion
- •Clinical Characteristics
- •Diagnosis
- •Mortality/Morbidity
- •19.1.3.2 Retinal Vein Occlusion (RVO)
- •Clinical Characteristics
- •Pathogenesis
- •Diagnosis
- •19.1.3.3 Ischemic Optic Neuropathy
- •Clinical Characteristics
- •Mortality/Morbidity
- •19.1.3.4 Asymptomatic Retinal Emboli
- •Background
- •Pathophysiology
- •19.2 Vasculitis
- •19.2.1 Takayasu’s Arteritis (Aortic Arch Syndrome)
- •19.2.1.1 Pathophysiology
- •19.2.1.2 Clinical Characteristics
- •19.2.1.3 Epidemiology
- •19.2.2 Behcet’s Disease
- •19.2.2.1 Clinical Characteristics
- •19.2.2.2 Pathogenesis
- •19.2.2.3 Diagnosis
- •19.2.2.4 Epidemiology
- •19.2.3 Thromboangiitis Obliterans
- •19.2.3.1 Diagnosis and Clinical Characteristics
- •19.2.3.2 Treatment
- •19.2.4 Temporal Arteritis
- •19.2.4.1 Epidemiology
- •19.2.4.2 Pathogenesis
- •19.2.4.3 Ocular Manifestations
- •19.2.5 Wegener’s Granulomatosis
- •19.2.5.1 Pathogenesis
- •19.2.5.2 Ocular Manifestation
- •19.2.5.3 Diagnosis
- •19.2.6 Kawasaki Disease
- •19.2.6.1 Clinical Characteristics
- •19.2.6.2 Diagnosis
- •19.3 Vascular Malformations
- •19.3.1.1 Diagnosis
- •19.3.1.2 Pathophysiology
- •19.4 Systemic Hypertension and Treatment
- •19.4.1 Etiology
- •19.4.1.1 Primary Hypertension
- •19.4.1.2 Secondary Hypertension
- •19.4.2 Pathophysiology
- •19.4.3 Pathology and Complications
- •19.4.4 Symptoms and Signs
- •19.4.5 Diagnosis of Hypertension
- •19.4.5.1 History
- •19.4.5.2 Physical Examination
- •19.4.5.3 Testing
- •19.4.6 Prognosis
- •19.4.7 General Treatment
- •19.4.7.2 Drugs
- •19.5 Hypertensive Retinopathy
- •19.5.2 Pathophysiology
- •19.5.3 Blood Pressure
- •19.5.3.1 The Risk of Stroke
- •19.5.3.2 The Risk of Coronary Heart Disease
- •19.5.4 Treatment
- •19.5.4.1 ACE Inhibitors and the Eye
- •References
- •Index
196 |
J.V. Lovasik and H. Kergoat |
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(fERG) for both lightand dark-adapted states [44]. Inasmuch as some components of the fERG originate in the photoreceptor layer, and others reflect the activity of neurons populating the inner retinal layer, any changes in this potential are likely associated with changes in choroidal and retinal blood flow. In contrast to these minimal changes in neural function secondary to hyperperfusion, there were more dramatic changes in retinal reactivity to hypoperfusion. Furthermore, it is noteworthy that the neural responsiveness of the retina to transient decreases in the OPP differs dramatically when the retina is switched from a lightto dark-adapted state. Perhaps the most significant and interesting finding concerning the relationship between neural function and blood flow was the heightened vulnerability of rod photoreceptors to transient decrements in the OPP. When the retina was light adapted, the photopic fERG was not affected by either a transient increase or decrease in the OPP. However, when the retina was dark adapted and the neural response of the retina to light was driven exclusively by rod photoreceptors, both the a-wave and b-wave components of the scotopic fERG were significantly attenuated by a progressive decrease in the OPP [44]. This observation may reflect a change in the topographic distribution of blood, blood volume, and oxygen available to rods [45] in dark adaptation.
The changes in scotopically matched red and blue fERGs during 10% step decrements in the OPP, and the recovery pattern at 1-min intervals are shown in Fig. 10.15. The biphasic shape of the scotopic red fERG reveals the early cone and slower rod contributions to the fERG b-wave, while the monophasic blue fERGs show the rod-isolated responses. The rod components of the scotopic fERGs were seen to decrease when the OPP was reduced by as little as 10%. Further reductions in the OPP caused a progressive reduction in the rod contribution while the cone contribution remained unchanged until the OPP was reduced by ~40%. Furthermore, the cone contribution to the scotopic red fERG was still visible when the rod contribution was extinguished by a 50% reduction in the resting
OPP. In addition, when the resting OPP was returned, cone recovery to resting values was more rapid than the rod recovery. Because increased scleral suction was used to reduce the OPP, the cause of the increased vulnerability of scotopic fERGs to decrements in the OPP may also have involved the concomitant increase in pressure of the vitreous against the retina as the IOP was elevated through scleral suction [44].
The increased susceptibility to ischemia of the inner retinal layers during retinal dark vs. light adaptation was also observed through measurements of scotopic vs. photopic oscillatory potentials (OPs), which reflect the functional status of the amacrine cells. During transient experimental increased OPP as large as 70%, amacrine cell function indexed by the amplitude of photopic OPs remained largely unchanged [46]. In darkness, however, a transient reduction in the OPP attenuated all components of the OP complex, while a transient increase in the OPP induced by body declination caused an increase in the amplitude of OP5 [30] (Fig. 10.14). While the physiological basis for this component-specific vulnerability of the scotopic OPs to variations in the resting OPP remains to be determined for the human eye, these findings nonetheless highlight a unique diagnostic capability of the scotopic OPs for increased or decreased blood flow in the inner retinal layers.
10.6Blood Gases
The inspired gas content can easily be modified to alter the concentration of naturally occurring gases in arterial blood. Several studies have used such provocations to alter the concentrations of oxygen (O2), carbon dioxide (CO2), or nitrogen content in blood to study the effect on blood flow regulation [47, 48]. The ability of a vascular bed to adjust its blood flow parameters during transient changes in O2 saturation (SaO2) and/or other metabolites to preserve normal physiological function is referred to as “metabolic regulation.” Metabolic regulation in other organs or tissues during a period of hyper/
10 Systemic Determinants |
197 |
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Scotopic electroretinogram
Biphasic RED flash b-wave Monophasic BLUE flash b-wave
Baseline
a-wave
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−10 |
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OPP |
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in |
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reduction |
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Cones |
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Recovery at |
200 μV |
1 min intervals |
50 ms
Fig. 10.15 Differential attenuation of cone and rod func- |
indexed by the second peak in scotopic red fERGs and the |
tion in dark adaptation. A progressive reduction of the |
rod isolated blue fERGs |
OPP preferentially attenuated rod photoreceptor function |
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hypoxia or/and hyper/hypocapnia may be reflected by the vasomotor changes in the retinal vasculature. Because retinal vessels comprise the only vasculature in the human body that can be seen directly using noninvasive procedures, it is worthwhile for future research to determine whether changes in retinal vasodynamics and/or structure can be used clinically to diagnose subclinical changes in the systemic vasculature pathognomonic of life-threatening cardiovascular disease.
This idea is realistic since it is well known that narrowing of retinal arterioles or abnormal arteriovenous crossings are clinical indices of systemic hypertension.
This section will present studies on the retinal vessel dynamics [49], ONH perfusion [50], and POBF [51] during inhalation of 100% O2, as well as the changes in POBF following inhalation of carbogen (5% CO2 in 95% O2) [51] and a hypoxic gas (12% O2 in 88% nitrogen) [52].
198 |
J.V. Lovasik and H. Kergoat |
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Fig. 10.16 Inhalation of 100% O2 induced vasoconstriction in both retinal arteries and veins. The reduction in vessel diameter was ~5% greater in veins than arteries, and recovery from O2 occurred at the same rate in both vessel types. This profile of change in vessel diameter during inhalation of O2 and the recovery phase was the same in the four retinal quadrants centered on the ONH. The vasoconstriction response to inhalation of 100% O2 is interpreted as a regulatory response of blood flow to maintain constant levels of oxygen tension
Percent vessel diameter
105 |
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Superior temporal |
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Superior nasal |
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inhalation |
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100 |
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95 |
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Artery |
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90 |
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Vein |
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85 |
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0 |
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Recovery |
0 |
2 |
14 |
Recovery |
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80 |
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2 |
14 |
26 |
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26 |
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105 |
O |
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2 |
inhalation |
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inhalation |
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100 |
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2 |
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95 |
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90 |
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85 |
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14 |
Recovery |
0 |
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2 |
14Recovery26 |
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80 |
0 |
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2 |
26 |
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Inferior temporal |
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Inferior nasal |
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10.6.1 Hyperoxia and Blood Flow
Inhalation of 100% O2 caused a progressive monotonic constriction of retinal vessels that reached a plateau within 4 min. The data in Fig. 10.16 show that veins constricted about 5% more than arteries, but their overall response profiles were similar. The plateau of constriction was sustained throughout the remaining time of O2 inhalation. When room air was reintroduced, both arteries and veins redilated monotonically to within ~2% of baseline caliber during the recovery interval. This profile of retinal vessel reactivity to O2 inhalation was the same for vessels populating each of the principal fundus quadrants relative to the ONH. This O2-induced vasoconstriction was interpreted as evidence for a mechanism regulating blood flow presumably to maintain the level of O2 required for normal metabolism.
The reactivity of the blood vessels perfusing the ONH was also examined in a separate study involving inhalation of 100% O2 with perfusion monitored by the CP. Transient systemic hyperoxia increased the area of pallor in the ONH, suggesting vasoconstriction of superficial and deeper capillaries and decreased perfusion of the anterior portion of the optic nerve [50]. However, the choroidal flow as indexed by the POBF [51] or the ChBF [53] was not altered during systemic hyperoxia.
10.6.2Hypercapnia-Hyperoxia and Choroidal Blood Flow
Inhalation of carbogen (O2 + 5 to 7% CO2), a gas mixture with increased concentration of CO2, increases the POBF [51], and the subfoveal ChBF [54], as well as the fundus pulsation amplitude (FPA), an index of choroidal pulsatile flow, in the macula [55] in man. Inhalation of CO2 in air has also been shown to increase blood flow in the macula, as measured by FPA [56, 57]. Similar results indicating an increase in ChBF with increased CO2 (in air, or in O2) were reported in animal studies [58–60], although others have reported that CO2 did not increase ChBF [61].
10.6.3Hypoxia and Pulsatile Choroidal Blood Flow
Early studies into vascular regulation reported that systemic hypoxia caused an increase in both the perifoveal capillary blood flow [62] and retinal blood flow [63]. However, inhalation of 12% O2 in nitrogen [mean SaO2 = 89.0%] did not affect ChBF as indexed by measurements of the POBF [52]. The absence of changes in the POBF could be interpreted to indicate that the pulsatile component of ChBF is unaffected by transient mild
