Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: J Stroke Cerebrovasc Dis. 2016 May 5;25(8):1891–1895. doi: 10.1016/j.jstrokecerebrovasdis.2016.03.045

Increased Cortical Cerebral Blood Flow in Asymptomatic Human Immunodeficiency Virus Infected Subjects

Souvik Sen , Hongyu An *, Prema Menezes *, Jonathan Oakes *, Joseph Eron *, Weili Lin *, Kevin Robertson *, William Powers *
PMCID: PMC5302846  NIHMSID: NIHMS784738  PMID: 27160382

Abstract

Background and Purpose

Human Immunodeficiency Virus (HIV) infected individuals are at high risk for ischemic stroke. To investigate the physiological basis for this risk, we used magnetic resonance imaging (MRI) to measure oxygen extraction fraction (OEF) and cerebral blood flow (CBF) in treatment naïve asymptomatic HIV-infected subjects and controls.

Methods

In treatment naïve asymptomatic HIV-infected subjects and age-gender-race matched controls, OEF was measured by MRI asymmetric spin-echo echo-planar imaging (EPI) sequences and CBF was measured by MRI pseudocontinuous arterial spin labeling (pCASL).

Results

Twenty-six treatment naïve HIV-infected subjects and 27 age-gender-race matched controls participated. Whole brain, gray matter and white matter OEF were not different between the groups (all p > 0.70). Unexpectedly, HIV infected subjects had significantly higher CBF in cortical gray matter (72.9 ± 16.2 ml/100g/min vs. 63.9 ± 9.9 ml/100g/min; p=0.01) but not in subcortical gray matter (p=0.25).

Conclusions

The observed increase in cortical gray matter CBF in treatment naïve HIV-infected subjects is unexpected, contrary to CBF decreases reported in HIV-infected subjects on treatment and may represent an initial increase in metabolic activity due to an HIV mediated inflammation.

Keywords: cerebral blood flow measurement, cerebrovascular disease, MRI, Infectious Disease, Inflammation


Infection with the Human Immunodeficiency Virus (HIV) confers an increased risk of ischemic stroke.14 Stroke has often been reported as a complication of acquired immunodeficiency syndrome (AIDS); however, limited data exist that address the mechanism of the risk of HIV/AIDS-associated stroke. Epidemiological studies suggest that HIV-associated stroke affects a younger population with a risk factor profile that differs from the HIV negative young stroke population in that hypertension, diabetes, hyperlipidemia and smoking are not significant risk factors.5 A limitation of many of the existing studies is that they fail to distinguish between strokes associated with medical conditions known to be associated with HIV infection such as lymphoma, opportunistic infections, antiretroviral therapy, substance abuse and strokes resulting from an undetermined HIV-related process.3, 6 Several possible mechanisms have been hypothesized to account for stroke in association with AIDS, including a covert HIV-induced vasculopathies.7, 8 There is also clinical and histopathological evidence suggesting that HIV infection may cause a variety of inflammatory vascular diseases.9 Cerebral vasculitis during HIV infection and AIDS has been found in postmortem examinations.1012Several case-control studies, using single-photon emission computerized tomography (SPECT) have revealed baseline cerebral hypoperfusion. These studies have been reviewed by Tucker et al.13 Recent MRI case-control studies have revealed cortical and subcortical gray matter hypoperfusion in asymptomatic HIV subjects.14, 15Other studies have evaluated regional cerebral glucose metabolism using FDG PET and noted a hypermetabolic state in the deep subcortical gray matter including the basal ganglia.1618 Although not demonstrated in the same patients, such a resting imbalance between blood flow and metabolism could produce a state the renders the brain more susceptible to minor degrees of subsequent ischemia. A similar imbalance between resting blood flow and oxygen metabolism leading to increased oxygen extraction fraction (OEF) is associated with a marked increased risk of stroke in patients with symptomatic carotid artery occlusion.19 Only a single study has measured CBF and glucose metabolism with FDG in the same HIV-infected patients and, contrary to the previous studies, found no abnormality in either.20 A recent MRI study on HIV subjects, most of them on antiretroviral therapy, found decreased CBF and a related uncoupling between CBF and CMRO2 changes during neuronal activation.21 We used MRI to measure whole brain and regional OEF and gray matter CBF in treatment naïve asymptomatic HIV-infected subjects and controls to gain insight into the pathophysiology of HIV/AIDS related ischemic stroke.

MATERIALS AND METHODS

Participants

[Note that another arm of this study included lowering blood pressure with an intravenous nicardipine infusion and all participants had to be able to safely participate in this part of the study]

HIV-infected patients were recruited through the Infectious Diseases Clinic at the University of North Carolina.

Inclusion criteria were: 1. Age 18 years or above. 2. Recently detected HIV infection without evidence of AIDS-defining illness 3. Antiretroviral therapy naïve or ≤ 7 days from beginning antiretroviral therapy. 4. Signed informed consent form

Exclusion criteria: Started on antiretroviral drugs to treat HIV infection more than a week or those in whom per the treating physician antiretroviral therapy is not indicated. 2. Inability to cooperate with the performance of MRI 3. Radiological evidence of multiple hemispheric cerebral infarcts (larger than 1 cm.in diameter) on prior MRI scan obtained for other reasons or screening MRI scan (scout film) obtained as part of study MRI protocol, reviewed by the investigator. 4. Mean arterial pressure < 90 mm Hg 5.Concurrent treatment with alpha-1 receptor blockers (doxazosin, terazosin, prazosin) or hydralazine. 6. CYP3A4 inhibitors that may increase the levels/effects of nicardipine. Example inhibitors include azole antifungals, ciprofloxacin, clarithromycin, diclofenac, doxycycline, erythromycin, imatinib, isoniazid, nefazodone, propofol, quinidine, and verapamil. 7. Pregnancy. 8. Contraindications for MRI such as history or documentation of implanted ferromagnetic material or other devices (e.g. cardiac pacemaker) or claustrophobia. 9. History of aortic stenosis 10. Known allergy to nicardipine 11. Resting heart rate 130 beats/minute 12. Significant atrioventricular (AV) conduction abnormalities (2nd or 3rd degree AV block) 13. Known history of significant cardiovascular disease (history of congestive heart failure, myocardial ischemia or cardiomyopathy) or peripheral vascular disease (symptoms of critical limb ischemia -ulcers or gangrene or Ankle Brachial Index I < 0.5 14. Significant (≥70% by ultrasound) internal carotid artery stenosis/occlusion

Healthy volunteers 18 years or above were recruited through IRB approved local and newspaper advertisements and email listserv advertisements and flyers. Controls were matched on age (+/− 2 years), gender and race to cases and tested for HIV infection. Control subjects met all above exclusion criteria.

Magnetic Resonance Measurements

MR measurements were acquired on a 3T whole-body MR scanner (Trio, Siemens Healthcare, Erlangen, Germany) at the Biomedical Research Imaging Center at the University of North Carolina, Chapel Hill.

Cerebral Blood Flow

MR CBF images were acquired with a pseudo-continuous arterial spin labeling (pCASL). pCASL22,23 employs a train of short RF pulses for pseudo-continuous labeling. Label and control images were acquired alternatively with a single shot gradient echo acquisition. The total labeling and control pulse durations were 2 seconds. A post labeling delay time of 1000 ms between the labeling or control pulses and the image acquisition was utilized. The labeling plane was placed 80 mm inferior to the imaging center. FOV was 220 mm2 and matrix size is 64×64. Sixteen slices with a slice thickness of 5 mm without interslice gap was acquired. TR/TE= 4000/11 msec. Forty pairs of label and control images were acquired. The total data acquisition time was 5 minutes and 20 seconds. The labeling and control images were averaged separately and a low pass Gaussian filter with a full-width-half maximum (HWHM) of 11.4 mm (about 3.3 pixels) was utilized to improve signal to noise ratio (SNR). Quantitative CBF maps were calculated similar to a published method.24 In addition to perfusion imaging, each session included a high resolution T1-weighted magnetization prepared rapid gradient echo (MPRAGE) imaging with voxel size of 1×1×1 mm3 for anatomical reference for subsequent image registration and normalization.

Oxygen Extraction Fraction

Deoxyhemoglobin (dHB), an endogenous magnetic susceptibility source, causes mesoscopic magnetic field variations.25, 26 The relaxation rate R2′ is proportional to the product of the concentration of dHb and the venous cerebral blood volume (vCBV). Regional cerebral venous oxygen saturation (SvO2) or OEF (SaO2-SvO2) can be measured if both R2′ and vCBV can be acquired. In this study, an asymmetric spin echo (ASE) single shot echo planar imaging (EPI) sequence was utilized.27 An ASE EPI sequence is a variation of a single shot SE EPI sequence allowing variable time intervals between the π/2 and π pulses. The TE is the echo time, where τ is the time interval between the π pulse and TE/2. By varying τ while keeping TE constant, susceptibility-induced magnetic field changes can be evaluated. Details of this method can be found in previous publications.2729

Data Analysis

The International Consortium for Brain Mapping (ICBM, McConnell Brain Imaging Centre, Montreal, Canada) brain template was utilized as an atlas to define several regions-of-interest (ROIs). A nonlinear symmetric diffeomorphic registration algorithm was utilized for aligning atlas T1 to each individual patient’s T1 images (ANTS, PICSL, Philadelphia, PA, USA).30, 31 A six-parameter rigid image registration was performed to align pCASL, ASE, and T1 images from the same subjects across all scans using FSL 3.2 (FMRIB, Oxford, UK). T1 images of each individual subject were segmented into white matter (WM), gray matter (GM), and CSF using the Markov Random Field-based tissue segmentation approach provided in FSL 3.2.32 Regions of interest (ROIs) were manually defined to cover all acquired slices in both hemispheres. For each subject, the GM and WM masks were generated from T1 segmentation. Possible subject movement was corrected by Analysis of Functional NeuroImage software. Each region was manually delineated on high-resolution images. Quantitative CBF and OEF measurements were compared between the groups using unpaired t-test.

This study was approved by the local Institutional Review Board, and all subjects provided written informed consent before participating.

RESULTS

A total of 53 subjects consented to the protocol between the years 2010–2013: 26 were treatment naïve HIV-infected subjects (Mean age ± SD=29±7, 92% male, 35% white, 46% black and 19% others) and 27 were age-gender-race matched HIV-negative controls (Mean age± SD= 31±9, 93% male, 37% white, 53% black and 10% others). At the time of diagnosis the HIV-infected subjects had a mean CD4± SD =465±155 and mean log10 viral copies ± SD =4.2 ± 0.9 detected in blood and were studied within 2 weeks of diagnoses.

Whole brain, gray matter and white matter OEF were not different between the groups (all p > 0.70). (Table 1). Unexpectedly, HIV-infected subjects had significantly higher CBF in cortical gray matter (72.9 ± 16.2 ml/100g/min vs. 63.9 ± 9.9 ml/100g/min; p=0.01) but not in subcortical gray matter (64.5±14.4 ml/100g/min vs. 60.4±10.8 ml/100g/min; p=0.25).

Table 1.

Whole brain and regional oxygen extraction fraction and gray matter cerebral blood flow in HIV-infected subjects (N=26) and HIV negative controls (N=27).

OEF CBF
Whole brain
HIV positive cases 0.40±0.04
HIV negative controls 0.40±0.04
t-test 0.78
Cortical gray matter
HIV positive cases 0.40±0.06 73.2±14.2
HIV negative controls 0.40±0.05 64.4±10.9
t-test 0.74 0.01
White matter
HIV positive cases 0.40±0.03
HIV negative controls 0.40±0.04
t-test 0.94
Deep gray matter
HIV positive cases 0.40±0.04 64.5±14.4
HIV negative controls 0.40±0.04 60.4±10.8
t-test 0.87 0.25

OEF, oxygen extraction fraction; CBF, cerebral blood flow (ml per 100 g/min);

Values are mean±standard deviation

DISCUSSION

In this study, we did not find an increase in OEF to explain the elevated stroke risk in HIV-infected patients. Unexpectedly, we did measure a statistically significant increase in cortical gray matter CBF in treatment naïve HIV-infected subjects compared to HIV negative matched controls, with no corresponding changes in the OEF.

We used a post-labelling delay of 1000 msec second for pCASL CBF measurements. This is shorter than the recently recommended minimum of 1.8 seconds.33 A 1000 msec post-labeling delay does not produce accurate CBF measurement in white matter (and therefore for whole brain as well) because of the longer arterial transit time for white matter. Therefore, we are only reporting gray matter CBF. With a post-labeling delay of 1000 msec, underestimation of CBF will occur in gray matter regions with longer transit times.34 However, since cerebrovascular disease produces longer transit times, this technical matter cannot explain the higher blood flow in the HIV-infected patients.

Our finding of increased cortical CBF is contradictory to several PET, SPECT and MRI studies that demonstrated global and regional cerebral hypoperfusion in asymptomatic HIV subjects. A PET and ASL-MRI study in HIV infected subjects on antiretroviral therapy noted an age dependent decrease in cerebral blood flow in the cortical gray regions, and an increase in cerebral blood flow in the subcortical white matter and gray matter regions, compared to the HIV negative controls.20 Additionally, a recent MRI ASL study investigating the role of rCBF measurement as a preclinical biomarker of HIV induced brain injury, also found a significant decrease in rCBF in the lenticular nuclei and visual cortex in 33 HIV positive individuals, in comparison with 26 HIV negative controls.15 Similar findings have been reported in SPECT and PET studies.13 In these studies, the HIV infected subjects included a mix of early infected subjects and chronically infected subjects on antiretroviral therapy, and relatively older (mean age 39±2 years) compared with our patient population, possibly explaining the discrepancy with our CBF findings. A recent fMRI study has demonstrated an age dependent decrease in cerebral blood flow in HIV positive subjects, compared with HIV negative controls.35 In addition, most of these studies that were conducted in the post-antiretroviral therapy era included subjects on antiretroviral therapy. The specific effect of antiretroviral therapy on cerebral blood flow and oxygen metabolism remains unknown.

Increased cerebral blood flow is seen in the early stages of brain inflammation caused by acute encephalitis, gradually decreasing to below normal levels in the subacute to chronic phases.36, 37 A SPECT study performed on HIV infected subjects, prior to the advent of newer antiretroviral therapy in treatment of HIV, showed an initial increase in CBF followed by a time related decrease in uptake compared to normal controls.38 The findings were attributed to an HIV mediated inflammatory reaction with increased blood flow and possibly activated macrophages and cytokine production.38 This hypothesis of HIV mediated inflammatory response is further corroborated by a recent proton MR spectroscopy (1H-MRS) study of asymptomatic HIV positive subjects naïve to antiretroviral therapy.39 This study revealed findings of increased inflammatory brain metabolite markers Cho/Cr and MI/Cr that suggesting inflammation during early untreated HIV. Antiretroviral therapy initiation during the first year of infection attenuated the increase of these inflammatory cerebral markers, but it did not appear to reverse them within the follow-up period.

Several prior FDG PET studies have reported increased glucose metabolism in the subcortical and basal ganglia region in HIV positive subjects.13, 1618 We did not directly measure cerebral oxygen metabolism (CMRO2) in this study. However, according to the equation CMRO2 = CBF × OEF × CaO2, an increase in cortical gray matter CBF with no change in OEF would produce an increase in CMRO2 unless there is a reciprocal decrease in the arterial oxygen content (CaO2). We are currently performing additional studies with measurements of CaO2 to address this issue.

In summary, we report increased cortical gray matter CBF, with no change in OEF, in newly diagnosed, treatment-naïve HIV-infected patients, suggesting an increase in metabolic activity due to an HIV mediated inflammatory reaction early in the course of the disease. Further studies in progress entail systematic collection of CaO2 measurements for calculation of CMRO2 as well as repeat measure of CBF, OEF and CMRO after 12 months of antiretroviral therapy, providing an unique opportunity to measure the effects of treatments on these parameters.

Acknowledgments

Funding for the study was provided by: NINDS R01NS062754

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Disclosure: The authors have reported no conflicts of interest.

REFERENCES

  • 1.Cole JW, Pinto AN, Hebel JR, Buchholz DW, Earley CJ, Johnson CJ, et al. Acquired immunodeficiency syndrome and the risk of stroke. Stroke; a journal of cerebral circulation. 2004;35:51–56. doi: 10.1161/01.STR.0000105393.57853.11. [DOI] [PubMed] [Google Scholar]
  • 2.Evers S, Nabavi D, Rahmann A, Heese C, Reichelt D, Husstedt IW. Ischaemic cerebrovascular events in hiv infection: A cohort study. Cerebrovascular diseases (Basel, Switzerland) 2003;15:199–205. doi: 10.1159/000068828. [DOI] [PubMed] [Google Scholar]
  • 3.Hoffmann M, Berger JR, Nath A, Rayens M. Cerebrovascular disease in young, hiv-infected, black africans in the kwazulu natal province of south africa. Journal of neurovirology. 2000;6:229–236. doi: 10.3109/13550280009015825. [DOI] [PubMed] [Google Scholar]
  • 4.Qureshi AI, Janssen RS, Karon JM, Weissman JP, Akbar MS, Safdar K, et al. Human immunodeficiency virus infection and stroke in young patients. Archives of neurology. 1997;54:1150–1153. doi: 10.1001/archneur.1997.00550210078016. [DOI] [PubMed] [Google Scholar]
  • 5.Sen S, Rabinstein AA, Elkind MS, Powers WJ. Recent developments regarding human immunodeficiency virus infection and stroke. Cerebrovascular diseases (Basel, Switzerland) 2012;33:209–218. doi: 10.1159/000335300. [DOI] [PubMed] [Google Scholar]
  • 6.Pinto AN. Aids and cerebrovascular disease. Stroke; a journal of cerebral circulation. 1996;27:538–543. doi: 10.1161/01.str.27.3.538. [DOI] [PubMed] [Google Scholar]
  • 7.Connor MD, Lammie GA, Bell JE, Warlow CP, Simmonds P, Brettle RD. Cerebral infarction in adult aids patients: Observations from the edinburgh hiv autopsy cohort. Stroke; a journal of cerebral circulation. 2000;31:2117–2126. doi: 10.1161/01.str.31.9.2117. [DOI] [PubMed] [Google Scholar]
  • 8.Brilla R, Nabavi DG, Schulte-Altedorneburg G, Kemeny V, Reichelt D, Evers S, et al. Cerebral vasculopathy in hiv infection revealed by transcranial doppler: A pilot study. Stroke; a journal of cerebral circulation. 1999;30:811–813. doi: 10.1161/01.str.30.4.811. [DOI] [PubMed] [Google Scholar]
  • 9.Gherardi R, Belec L, Mhiri C, Gray F, Lescs MC, Sobel A, et al. The spectrum of vasculitis in human immunodeficiency virus-infected patients. A clinicopathologic evaluation. Arthritis and rheumatism. 1993;36:1164–1174. doi: 10.1002/art.1780360818. [DOI] [PubMed] [Google Scholar]
  • 10.Rhodes RH. Histopathology of the central nervous system in the acquired immunodeficiency syndrome. Human pathology. 1987;18:636–643. doi: 10.1016/s0046-8177(87)80365-9. [DOI] [PubMed] [Google Scholar]
  • 11.Berger JR, Harris JO, Gregorios J, Norenberg M. Cerebrovascular disease in aids: A case-control study. AIDS (London, England) 1990;4:239–244. doi: 10.1097/00002030-199003000-00010. [DOI] [PubMed] [Google Scholar]
  • 12.Gray F, Lescs MC, Keohane C, Paraire F, Marc B, Durigon M, et al. Early brain changes in hiv infection: Neuropathological study of 11 hiv seropositive, non-aids cases. Journal of neuropathology and experimental neurology. 1992;51:177–185. doi: 10.1097/00005072-199203000-00007. [DOI] [PubMed] [Google Scholar]
  • 13.Tucker KA, Robertson KR, Lin W, Smith JK, An H, Chen Y, et al. Neuroimaging in human immunodeficiency virus infection. Journal of neuroimmunology. 2004;157:153–162. doi: 10.1016/j.jneuroim.2004.08.036. [DOI] [PubMed] [Google Scholar]
  • 14.Ances BM, Roc AC, Wang J, Korczykowski M, Okawa J, Stern J, et al. Caudate blood flow and volume are reduced in hiv+ neurocognitively impaired patients. Neurology. 2006;66:862–866. doi: 10.1212/01.wnl.0000203524.57993.e2. [DOI] [PubMed] [Google Scholar]
  • 15.Ances BM, Sisti D, Vaida F, Liang CL, Leontiev O, Perthen JE, et al. Resting cerebral blood flow: A potential biomarker of the effects of hiv in the brain. Neurology. 2009;73:702–708. doi: 10.1212/WNL.0b013e3181b59a97. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.van Gorp WG, Mandelkern MA, Gee M, Hinkin CH, Stern CE, Paz DK, et al. Cerebral metabolic dysfunction in aids: Findings in a sample with and without dementia. The Journal of neuropsychiatry and clinical neurosciences. 1992;4:280–287. doi: 10.1176/jnp.4.3.280. [DOI] [PubMed] [Google Scholar]
  • 17.Hinkin CH, van Gorp WG, Mandelkern MA, Gee M, Satz P, Holston S, et al. Cerebral metabolic change in patients with aids: Report of a six-month follow-up using positron-emission tomography. The Journal of neuropsychiatry and clinical neurosciences. 1995;7:180–187. doi: 10.1176/jnp.7.2.180. [DOI] [PubMed] [Google Scholar]
  • 18.Rottenberg DA, Sidtis JJ, Strother SC, Schaper KA, Anderson JR, Nelson MJ, et al. Abnormal cerebral glucose metabolism in hiv-1 seropositive subjects with and without dementia. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 1996;37:1133–1141. [PubMed] [Google Scholar]
  • 19.Grubb RL, Jr, Derdeyn CP, Fritsch SM, Carpenter DA, Yundt KD, Videen TO, et al. Importance of hemodynamic factors in the prognosis of symptomatic carotid occlusion. Jama. 1998;280:1055–1060. doi: 10.1001/jama.280.12.1055. [DOI] [PubMed] [Google Scholar]
  • 20.Towgood KJ, Pitkanen M, Kulasegaram R, Fradera A, Soni S, Sibtain N, et al. Regional cerebral blood flow and fdg uptake in asymptomatic hiv-1 men. Human brain mapping. 2013;34:2484–2493. doi: 10.1002/hbm.22078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ances BM, Vaida F, et al. HIV and chronic methamphetamine dependence affect cerebral blood flow. J Neuroimmune Pharmacol. 2011;6(3):409–419. doi: 10.1007/s11481-011-9270-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Dai W, Garcia D, de Bazelaire C, Alsop DC. Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 2008;60:1488–1497. doi: 10.1002/mrm.21790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wu WC, Fernandez-Seara M, Detre JA, Wehrli FW, Wang J. A theoretical and experimental investigation of the tagging efficiency of pseudocontinuous arterial spin labeling. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 2007;58:1020–1027. doi: 10.1002/mrm.21403. [DOI] [PubMed] [Google Scholar]
  • 24.Wu WC, Jiang SF, Yang SC, Lien SH. Pseudocontinuous arterial spin labeling perfusion magnetic resonance imaging--a normative study of reproducibility in the human brain. NeuroImage. 2011;56:1244–1250. doi: 10.1016/j.neuroimage.2011.02.080. [DOI] [PubMed] [Google Scholar]
  • 25.Yablonskiy DA, Haacke EM. Theory of nmr signal behavior in magnetically inhomogeneous tissues: The static dephasing regime. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 1994;32:749–763. doi: 10.1002/mrm.1910320610. [DOI] [PubMed] [Google Scholar]
  • 26.He X, Yablonskiy DA. Quantitative bold: Mapping of human cerebral deoxygenated blood volume and oxygen extraction fraction: Default state. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 2007;57:115–126. doi: 10.1002/mrm.21108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.An H, Lin W. Impact of intravascular signal on quantitative measures of cerebral oxygen extraction and blood volume under normo- and hypercapnic conditions using an asymmetric spin echo approach. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 2003;50:708–716. doi: 10.1002/mrm.10576. [DOI] [PubMed] [Google Scholar]
  • 28.An H, Lin W. Quantitative measurements of cerebral blood oxygen saturation using magnetic resonance imaging. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2000;20:1225–1236. doi: 10.1097/00004647-200008000-00008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.An H, Lin W. Cerebral oxygen extraction fraction and cerebral venous blood volume measurements using mri: Effects of magnetic field variation. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. 2002;47:958–966. doi: 10.1002/mrm.10148. [DOI] [PubMed] [Google Scholar]
  • 30.Avants BB, Epstein CL, Grossman M, Gee JC. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical image analysis. 2008;12:26–41. doi: 10.1016/j.media.2007.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Klein A, Andersson J, Ardekani BA, Ashburner J, Avants B, Chiang MC, et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain mri registration. NeuroImage. 2009;46:786–802. doi: 10.1016/j.neuroimage.2008.12.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Zhang Y, Brady M, Smith S. Segmentation of brain mr images through a hidden markov random field model and the expectation-maximization algorithm. IEEE transactions on medical imaging. 2001;20:45–57. doi: 10.1109/42.906424. [DOI] [PubMed] [Google Scholar]
  • 33.Alsop DC, Detre JA, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magnetic Resonance in Medicine. 2015;73(1):102–116. doi: 10.1002/mrm.25197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Christen T, Ni W, et al. High-resolution cerebral blood volume imaging in humans using the blood pool contrast agent ferumoxytol. Magn Reson Med. 2013;70(3):705–710. doi: 10.1002/mrm.24500. [DOI] [PubMed] [Google Scholar]
  • 35.Ances BM, Vaida F, Yeh MJ, Liang CL, Buxton RB, Letendre S, et al. Hiv infection and aging independently affect brain function as measured by functional magnetic resonance imaging. The Journal of infectious diseases. 2010;201:336–340. doi: 10.1086/649899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Launes J, Siren J, et al. Unilateral hyperfusion in brain-perfusion SPECT predicts poor prognosis in acute encephalitis. Neurology. 1997;48(5):1347–1351. doi: 10.1212/wnl.48.5.1347. [DOI] [PubMed] [Google Scholar]
  • 37.Kataoka H, Inoue M, et al. Early dynamic SPECT imaging in acute viral encephalitis. J Neuroimaging. 2007;17(4):304–310. doi: 10.1111/j.1552-6569.2007.00154.x. [DOI] [PubMed] [Google Scholar]
  • 38.Christensson B, Ljungberg B, Ryding E, Svenson G, Rosen I. Spect with 99mtc-hmpao in subjects with hiv infection: Cognitive dysfunction correlates with high uptake. Scandinavian journal of infectious diseases. 1999;31:349–354. doi: 10.1080/00365549950163761. [DOI] [PubMed] [Google Scholar]
  • 39.Young AC, Yiannoutsos CT, Hegde M, Lee E, Peterson J, Walter R, et al. Cerebral metabolite changes prior to and after antiretroviral therapy in primary hiv infection. Neurology. 2014;83:1592–1600. doi: 10.1212/WNL.0000000000000932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.An H, Sen S, Chen Y, Powers WJ, Lin W. Noninvasive measurements of cerebral blood flow, oxygen extraction fraction, and oxygen metabolic index in human with inhalation of air and carbogen using magnetic resonance imaging. Translational stroke research. 2012;3:246–254. doi: 10.1007/s12975-011-0142-9. [DOI] [PubMed] [Google Scholar]

RESOURCES