Skip to main content
AJNR: American Journal of Neuroradiology logoLink to AJNR: American Journal of Neuroradiology
. 2018 Apr;39(4):704–712. doi: 10.3174/ajnr.A5547

7T Brain MRS in HIV Infection: Correlation with Cognitive Impairment and Performance on Neuropsychological Tests

M Mohamed a,, PB Barker a,d,e, RL Skolasky b,c, N Sacktor b
PMCID: PMC5895488  NIHMSID: NIHMS929799  PMID: 29449278

Abstract

BACKGROUND AND PURPOSE:

Validated neuroimaging markers of HIV-associated neurocognitive disorder in patients on antiretroviral therapy are urgently needed for clinical trials. The purpose of this study was to explore the relationship between cognitive impairment and brain metabolism in older subjects with HIV infection. It was hypothesized that MR spectroscopy measurements related to neuronal health and function (particularly N-acetylaspartate and glutamate) would be lower in HIV-positive subjects with worse cognitive performance.

MATERIALS AND METHODS:

Forty-five HIV-positive patients (mean age, 58.9 ± 5.3 years; 33 men) underwent detailed neuropsychological testing and brain MR spectroscopy at 7T. Twenty-four subjects were classified as having asymptomatic cognitive impairment, and 21 were classified as having symptomatic cognitive impairment. Single-voxel proton MR spectra were acquired from 5 brain regions and quantified using LCModel software. Brain metabolites and neuropsychological test results were compared using nonparametric statistics and Pearson correlation coefficients.

RESULTS:

Differences in brain metabolites were found between symptomatic and asymptomatic subjects, with the main findings being lower measures of N-acetylaspartate in the frontal white matter, posterior cingulate cortex, and precuneus. In the precuneus, glutamate was also lower in the symptomatic group. In the frontal white matter, precuneus, and posterior cingulate cortex, NAA and glutamate measurements showed significant positive correlation with better performance on neuropsychological tests.

CONCLUSIONS:

Compared with asymptomatic subjects, symptomatic HIV-positive subjects had lower levels of NAA and glutamate, most notably in the frontal white matter, which also correlated with performance on neuropsychological tests. High-field MR spectroscopy offers insight into the pathophysiology associated with cognitive impairment in HIV and may be useful as a quantitative outcome measure in future treatment trials.


Human immunodeficiency virus–associated neurocognitive disorder (HAND) is characterized by cognitive, behavioral, and motor dysfunction, which impacts daily functioning13 and is predictive of poor survival in patients.4 Combination antiretroviral therapy (cART) can improve cognitive performance and brain metabolism in some patients with HAND.2,5,6 However, many antiretroviral drugs do not penetrate well into the central nervous system,7 and neurocognitive deficits are reversed in many but not all patients.8,9 The prevalence of HAND in HIV positive (HIV+) individuals with advanced infection remains around 45%–50%, and patients are now surviving for years with HIV infection and HAND as chronic conditions.10,11 Advanced age is an important risk factor for HAND; for instance, in the Hawaii Aging with HIV cohort, HIV+ individuals older than 50 years of age were twice as likely to have dementia compared with HIV+ individuals who were 20–39 years of age.12,13 Because HIV+ individuals are now living longer as a result of cART, the proportion of HIV+ individuals older than 50 years of age has increased.

There is some evidence that HIV+ subjects may develop cognitive decline earlier than the HIV-negative (HIV−) population (ie, more rapid aging). For the quantitative assessment of neurologic involvement in older HIV+ individuals, it is important to develop and validate noninvasive imaging tools that are sensitive to changes in cognitive and behavioral statuses, which, for instance, may be of use as quantitative measures in future treatment trials. Measurements of regional brain metabolism may also shed some light on the neurobiology of brain aging and cognitive decline in the older HIV+ population.

Proton MR spectroscopy (MR spectroscopy) is a noninvasive technique that gives information on brain pathophysiology through measurement of brain metabolite levels.14 The most common observations in HIV+ subjects are increased levels of choline15 and mIns,16 thought to reflect inflammation and microglial proliferation, and decreased levels of N-acetylaspartate and glutamate,1719 believed to be due to neuronal injury or dysfunction.15,2022 Metabolic abnormalities may be observed in regions of the brain with normal appearance on conventional MR imaging, even in subjects who are neurologically asymptomatic, and increase with increasing degrees of neurologic involvement.23 Thus, MR spectroscopy has been proposed as suitable tool for monitoring the degree of HIV involvement in the brain and the effects of therapy.24,25

MR spectroscopy at field strengths of 1.5T, 3T, and 4T6,18,2628 has been extensively used to investigate neurologic involvement in HIV+ subjects. Higher magnetic field strengths (such as 7T) allow increased sensitivity and chemical shift dispersion and more reliable determination of brain metabolites, particularly for some of the smaller and overlapping signals in the spectrum, such as glutamate and glutamine.29,30

The current study was undertaken to investigate the utility of 7T MR spectroscopy in evaluating a cohort of older HIV+ patients with varying degrees of neurocognitive impairment. It was hypothesized that differences in brain metabolites reflecting neuronal and glial cell populations would be observed between older HIV+ individuals with and without cognitive impairment. For analysis, patients were classified either as “asymptomatic” (ie, either cognitively healthy or having asymptomatic neurocognitive impairment) or “symptomatic” (HAND, including those with either a mild neurocognitive disorder or HIV-associated dementia).

Materials and Methods

Participants and Clinical Testing

The study was approved the local institutional review board, and all subjects gave written informed consent. HIV+ individuals were recruited at the Institute for Clinical and Translational Research at Johns Hopkins Hospital in Baltimore, Maryland, from 2013 to 2016. Inclusion criteria were adults who were HIV-positive, older than 50 years of age, and had the ability to provide written informed consent and to ambulate at the first clinic visit. Patients were excluded if they had a history of or current opportunistic central nervous system infection, schizophrenia, affective disorder, or psychiatric diseases, which could be a confounder for cognitive impairment, or chronic neurologic disorders such as brain infarction, hemorrhage, epilepsy, and multiple sclerosis. Active substance abusers or opiate users were excluded, defined as any history of illicit drug use within 3 months preceding the baseline visit, established by subject history and urine toxicology screens. Any contraindication for 7T MR imaging (metal in the body, claustrophobia, inner ear disorder) was also an exclusion criterion.

As described above, subjects were stratified by neurocognitive disorder status using the revised American Academy of Neurology “Frascati” criteria.31 All subjects underwent detailed neurologic, neuropsychological, laboratory, and functional assessments. Clinical assessments included standardized questionnaires that assessed demographic information, including primary language; reading abilities; medical, psychiatric, and neurologic history; and a neurologic examination. Serum CD4 T-cell counts and HIV RNA levels via quantitative polymerase chain reaction in the plasma and CSF were obtained. Depression symptomatology was rated using the Center for Epidemiological Studies Depression Scale.32 Hepatitis C viral status was obtained via clinical history and evaluation of laboratory findings for hepatitis C virus antibodies.

Measures of functional performance included the Karnofsky Performance Scale, a questionnaire for instrumental activities of daily living, and a questionnaire for physical quality of life measures.13,3335 Neuropsychological testing included the Trail-Making Test, Color Trails Test, Grooved Pegboard Test, Digit Symbol Test, Stroop Test, Rey Complex Figure Test, and Hopkins Verbal Learning Test.3638 Raw scores on each neuropsychological test were converted to z scores using published normative data.31

MR Imaging and Spectroscopy

All studies were performed on a 7T scanner (Achieva; Philips Healthcare, Best, the Netherlands) equipped with a 32-channel receive head coil and quadrature transmit coil (Nova Medical, Wilmington, Massachusetts). Brain MR imaging consisted of localizer images and a 3D T1-weighted MPRAGE scan with 1.2-mm isotropic voxel size. Single-voxel Stimulated Echo Acquisition Mode (STEAM) spectra (TR/TE/mixing time = 3000/14/25 ms) were acquired from the left frontal white matter (FWM), left basal ganglia, mesial precuneus (PC), mesial posterior cingulate cortex (PCC), and left hippocampus with and without variable power and optimized relaxation water suppression. These regions were chosen on the basis of prior studies that have indicated that the regions are involved in HIV infection and aging.10,3941 The voxel sizes ranged from 8 to 15 mL (Fig 1). The hippocampal voxel was carefully angulated parallel to the long axis of the hippocampus and had dimensions of 1.5 × 1.5 × 3.5 cm to minimize partial volume contributions from surrounding tissues. Eighty acquisitions had water suppression, and 2 were unsuppressed, to give a total scan time per region of 4 minutes 6 seconds. Before the acquisition of each region, field inhomogeneity was corrected up to second order using the FASTMAP (fast, automatic shimming technique by mapping along projections) localized shimming technique,42 and localized power optimization43 was also performed (transmit B1 = 15 μT).

Fig 1.

Fig 1.

Examples of the 5 voxel locations used for brain MR spectroscopy in the left frontal white matter, left hippocampus (Hippo), left basal ganglia (BG), mesial posterior cingulate cortex, and mesial precuneus. An example of a spectrum from the PC in a 55-year-old HIV+ subject is shown, including results from the LCModel analysis (red curve). Signals are assigned to lipids (Lip), N-acetylaspartate, N-acetyl aspartylglutamate (NAAG), glutamate, glutamine (Gln), creatine, choline, myoinositol (mI), and Glx (the sum of Glu and Gln). The top trace is the difference between the original data and the results of the curve fit.

Spectra were analyzed using a basis set designed for the 7T STEAM sequence incorporated in the LCModel software package (http://www.lcmodel.com/)44 and quantified in approximately millimolar concentrations (referred to here as institutional units because relaxation time corrections were not performed) relative to the unsuppressed water signal. Ratios relative to creatine were also calculated. We did not perform any volumetric morphometry because we reported metabolite ratios in addition to metabolite concentrations. The LCModel basis set contained 20 different metabolites and the standard LCModel macromolecule peaks. Concentration and ratio values were only included for statistical analysis if their Cramér-Rao lower bounds were ≤20%.44 A representative PC spectrum is shown from 1 subject in Fig 1.

Statistical Analysis

The objective of the current study was to compare metabolite concentration and ratio values between older HIV+ patients who were either asymptomatic or symptomatic for neurocognitive impairment. With the Shapiro-Wilk test, the data were not normally distributed; therefore, we present the data as median and interquartile range (interquartile range, 25th and 75th percentiles). Between-group comparisons were made using the nonparametric median test. Pearson correlation coefficients were calculated between metabolite values and concentrations and neurocognitive tests.

Results

Forty-five subjects (mean age, 58.9 ± 5.3 years; 33 [73%] men) were enrolled. All patients were receiving cART. Twenty-four subjects were classified as asymptomatic, and 21, as symptomatic. Patient demographics are given in the Table. There were no significant group differences in age, education, sex, race, CD4 count, or plasma HIV RNA between groups. The estimated intelligence quotient was significantly lower in the symptomatic group (103.7 versus 112.9, respectively, P = .02). Apart from some small white matter hyperintensities in 2 individuals, which were avoided during MR spectroscopy voxel placement, there were no significant T2WI or FLAIR lesions or other abnormalities in any of the subjects in this study.

Subject demographics in the 2 HIV+ groups: asymptomatic neurocognitive impairment and symptomatic HIV-associated neurocognitive disordera

ANI HAND P Value
No. 24 21
Age (yr) 59.6 ± 5.7 58.2 ± 5.0 .378
Male sex (No.) (%) 17 (71%) 16 (76%) .764
Education (yr) 14.9 ± 3.0 14.0 ± 2.7 .263
Race (% African American) 12 (50%) 13 (62%) .655
Duration of infection (yr) 19.9 ± 9.0 19.2 ± 9.4 .790
CES-D 7.7 ± 6.8 11.0 ± 11.7 .253
HART Est IQb 112.9 ± 12.8 103.7 ± 12.9 .022
CD4 cell count (cells/mm3) 674 ± 281 676 ± 375 .988
Plasma HIV RNA (Log10 copies/mL)c 1.6 ± 0.1 2.3 ± 1.4 .569

Note:—ANI indicates asymptomatic neurocognitive impairment; CES-D = Center for Epidemiological Studies Depression Scale; HART Est IQ = Hopkins Adult Reading Test estimated intelligence quotient.

a

Values given are mean ± SD unless otherwise indicated.

b

Significant (P < .05).

c

Plasma HIV RNA only among those with detectable viral load (n = 2 ANI and n = 3 HAND).

In the frontal white matter, the median NAA/Cr ratio was lower in the symptomatic group compared with the asymptomatic group (1.21 versus 1.30, respectively; P = .005), and NAA+ N-acetyl aspartylglutamate (tNAA)/Cr (1.46 versus 1.56, respectively; P = .005) and the median mIns/Cr (0.97 versus 1.03, respectively; P = .02) (Fig 2). There was also a trend toward lower FWM tNAA concentration in the symptomatic group compared with the asymptomatic group (7.46 versus 7.81 mmol/L, respectively; P = .06) (Fig 3). In the posterior cingulate cortex, the median NAA/Cr was also significantly lower in the symptomatic group (1.16 versus 1.21, respectively; P = .01), as was the median tNAA/Cr (1.32 versus 1.40, respectively; P = .02) and median mIns/Cr (0.78 versus 0.87, respectively; P = .002) (Fig 2). In the precuneus, the median NAA/Cr was also significantly lower in the symptomatic group (1.14 versus 1.23, respectively; P = .02), as was median glutamate/Cr (Glu/Cr) (1.12 versus 1.24, respectively; P = .01) (Fig 2). There were no significant differences between groups in basal ganglia and hippocampus metabolite concentrations or ratios.

Fig 2.

Fig 2.

Metabolite ratios for the frontal white matter, posterior cingulate, precuneus, basal ganglia, and hippocampal voxels. Asterisk indicates significant; GABA, γ-aminobutyric acid; IQR, interquartile range; mI, myoinositol.

Fig 3.

Fig 3.

Metabolite concentrations in institutional units for the frontal white matter, posterior cingulate, precuneus, basal ganglia, and hippocampal voxels. Asterisk indicates significant, GABA, γ-aminobutyric acid; IQR, interquartile range; mI, myoinositol.

Regarding correlations between MR spectroscopy results and neuropsychological tests (On-line Table and Figs 46), lower FWM tNAA/Cr was associated with worse performance on measures of executive function, fine motor, and psychomotor speed (Trail-Making Test, Part B; Grooved Pegboard Test non-dominant hand; and the Digit Symbol test (P = .005, .01, and .001, respectively). Furthermore, lower FWM Glu/Cr was associated with lower performance on delayed recall on the Hopkins Verbal Learning Test (P = .02) (Fig 4). Lower tNAA/Cr in the posterior cingulate was associated with worse performance on tests of psychomotor speed (Digit Symbol and Stroop Test; P = .02 and .04, respectively) (Fig 5). Lower precuneus NAA/Cr was associated with worse performance on the Stroop Test, a test of processing speed (P = .04); while precuneus Glu/Cr decreases were associated with worse performance in the Trail-Making Test, Part B, a measure of executive functioning (P = .04) (Fig 6).

Fig 4.

Fig 4.

Scatterplots showing significant positive correlations of FWM Glu/Cr with the Hopkins Verbal Learning Test (HVLT) delayed recall, and FWM tNAA/Cr with the Grooved Pegboard non-dominant hand, Digit Symbol, and Trail-Making Test B z scores.

Fig 5.

Fig 5.

Scatterplots showing significant positive correlation of the posterior cingulate tNAA/Cr with the Digit Symbol and Stroop test z scores.

Fig 6.

Fig 6.

Scatterplots showing significant positive correlation of the precuneus NAA/Cr and Glu/Cr with Stroop test and Trail-Making Part B z scores, respectively.

Discussion

The main finding of this study is that 7T MR spectroscopy could find significant differences in metabolite levels between symptomatic and asymptomatic HIV+ subjects, with the primary result being lower levels of tNAA (or the ratio tNAA/Cr) in the frontal white matter, posterior cingulate, and precuneus. Glu/Cr was also lower in the precuneus in the symptomatic group. In addition, significant correlations were found between FWM measures of tNAA (and tNAA/Cr) and Glu (and Glu/Cr, Glx, and Glx/Cr) and multiple neuropsychological test scores. Posterior cingulate cortex and precuneus measures of NAA and Glu also correlated with performance on the Digit Symbol and Stroop tests. Overall, these results suggest that MR spectroscopy measurements of NAA and glutamate in these brain regions reflect neuroaxonal loss or dysfunction, which correlates with worse performance on neuropsychological tests.

Decreased NAA and Glx (Glu+glutamine) concentrations in HIV infection are well-established from MR spectroscopy studies at lower field strengths; for instance, in 1 study, long TEs performed at 1.5T revealed decreased levels of NAA/Cr in the parieto-occipital white matter in asymptomatic HIV+ men compared with healthy controls.45 MR spectroscopic imaging studies also performed at long TEs found progressive declines in NAA from HIV-negative controls to asymptomatic and then symptomatic HIV+ patient groups in multiple gray and white matter regions.6,18,46 NAA was also found to increase after initiation of cART.6,46 Previous 3T studies have also reported decreasing Glx concentrations (or Glx/Cr ratios) with increasing symptomatology in HIV infection17,18 and decreased levels compared with HIV-negative controls.19 Although some 3T studies have used the technique of the TE-averaged point-resolved spectroscopy sequence19 to selectively detect Glu, generally it can be difficult to reliably separate Glu from glutamine using conventional MR spectroscopy. Prior studies comparing 7T with lower field strengths have shown improved ability at 7T to quantify Glu and glutamine43; the current study at 7T confirms that only significant HIV-associated correlations are found for Glu, with no significant associations found for glutamine. NAA and Glu are known to be primarily located in neurons and have been shown in previous studies of various pathologies to decrease when neuronal damage occurs. The mechanisms by which neuronal damage occurs in HIV infection are complicated, but it is believed that infiltration of infected macrophages and lymphocytes results in inflammation, astrocytosis, oxidative stress, and synaptodendritic injury.47

Several studies performed at 1.5 and 3T have reported increased mIns in HIV infection and symptomatic HIV+ subjects compared with asymptomatic subjects.6,19 The current study is consistent with these findings. Previous studies at lower field strengths, and usually in younger cohorts of subjects, have generally reported increased levels of mIns in HIV+ subjects compared with HIV− controls, with higher mIns in symptomatic HIV+ subjects compared with asymptomatic subjects.18,48 The current study did not find strong differences in mIns (or mIns/Cr) between asymptomatic and symptomatic groups in most brain regions, with the exception of slightly lower mIns/Cr in the FWM in the symptomatic group (ie, in the opposite direction to prior findings).18,49 There were also few significant positive correlations between high mIns and worse performance on neuropsychological tests. These findings may be due to the older nature of the HIV+ cohort studied here, with a longer disease duration, generally well-controlled viral load, and less neuroinflammation than in previous studies.

Regarding correlations between brain metabolites and neuropsychological test scores, frontal white matter test NAA and Glu measures correlated positively with measures of executive function, motor speed, and verbal and working memory, whereas posterior cingulate cortex and precuneus measures of NAA and Glu predominantly correlated with the Digit Symbol and Stroop tests, measures of working memory and information-processing speed, respectively. The precuneus and posterior cingulate cortex are both visual processing areas, and neuronal dysfunction as measured by the metabolite changes in these areas could contribute to impaired performance in neuropsychological tests, which include visuospatial processing, such as the Digit Symbol and Stroop tests. Specifically, decreased FWM Glu/Cr and Glx were correlated with verbal recall, while posterior cingulate and precuneus Glu Glu/Cr and Glx were associated with attention and working memory and information-processing speed tests. These findings are generally consistent with prior studies performed at 1.5 or 3T; for instance, in patients receiving cART, significant correlations were found between 3T measures of Glu, Glx, and NAA with performance on motor and psychomotor speed, attention, and working memory.6

A study performed at 1.5T25 in HIV+ subjects (most being on cART) assessed motor skills (fine and gross), psychomotor function, information-processing speed, and verbal memory and expressed the results as a composite score NPZ-8 (the average neuropsychological z scores of 8 different neuropsychological test components). Consistent with the concept of HIV+ as a predominantly subcortical dementia, NPZ-8 scores correlated positively with NAA/Cr (and NAA/Cho and NAA/mIns) in the FWM, similar to findings in the current study. Negative correlations in that study were also found between basal ganglia mIns/Cr and NPZ-8.25 Another study at 1.5T in 45 antiretroviral-naïve HIV+ subjects also found elevated frontal white matter mIns and Cho compared with HIV-negative controls, which were correlated with slow performance in fine motor (Grooved Pegboard), psychomotor (Trail-Making Test), and executive function (Stroop) tests.50 The relative lack of correlations in the current study between neuropsychological test performance and measures of Cho (only PC Cho negatively correlated with the Hopkins Verbal Learning Test delayed recall task) or mIns (PCC mIns/Cr did correlate with performance on the Stroop test) most likely reflects differences in patient populations between the current and previous studies (older HIV+ subjects, all on cART).

Compared with MR spectroscopy at lower field strengths, 7T MR spectroscopy has been shown to offer increased signal-to-noise ratios and spectral resolution; however, it also presents some technical challenges, including increased chemical shift dispersion effects, difficulty shimming, and increased radiofrequency power deposition (specific absorption rate). In this study, localized second-order shimming was used to minimize the effects of field inhomogeneity. In addition, the STEAM pulse sequence was used for spatial localization because the 90° slice-selective pulses in STEAM have excellent slice profiles and low chemical shift dispersion effects and specific absorption rate.51,52 However, in the future, other sequences such as semi-LASER and/or MR spectroscopic imaging sequences may be used, which provide higher SNR, spatial resolution, and coverage.

The study also has some limitations; though subjects with overt medical or neurologic abnormalities were excluded, the older HIV+ subjects in this study may well have had varying degrees of risk factors commonly encountered in the general population, which contribute to aging and cognitive decline, such as microvascular disease, diabetes, or hypertension. All subjects were taking cART, which is known to affect brain metabolite concentrations.53 Although 3D T1WIs were recorded, no volumetric analysis has been performed to date in these subjects because of intensity and contrast variations due to transmit B1 inhomogeneity. However, we do not expect morphometric differences to significantly affect results because metabolite ratios (relative to Cr) are relatively insensitive to voxel composition (particularly CSF contamination). Finally, no significant changes were observed in the hippocampus in this study, despite the well-known importance of this structure for memory and other age-related cognitive dysfunction.40,54,55 Lack of significant findings may be in part due to the generally lower spectral quality obtained in this region due to magnetic susceptibility effects from bone/air/tissue interfaces proximal to the anterior temporal lobe, as well as partial volume with surrounding tissue due to the small size of the hippocampus. Spectral quality was also lower in the basal ganglia because of the high iron content of the globus pallidus and putamen, which is known to increase line widths in MR spectra from this region5658; this may have also contributed to the lack of significant group differences or neurocognitive correlations detectable in this region.

Conclusions

In the older subject population with HIV infection, 7T MR spectroscopy measurements of NAA and Glu may be useful indicators of neuroaxonal loss or dysfunction and correlate with neuropsychological performance. Therefore, 7T MR spectroscopy may be a useful adjunct technique for monitoring disease progression or response to therapy in future treatment trials. Other future studies are needed to track longitudinal changes with time, as well as comparisons with HIV-negative control subjects to determine whether cognitive decline and brain metabolite changes occur at a greater rate in HIV+ subjects and whether there are specific metabolic changes only associated with HIV infection in the older population.

ABBREVIATIONS:

cART

combined antiretroviral therapy

FWM

frontal white matter

Glu

glutamate

HAND

HIV-associated neurocognitive disorder

PC

precuneus

PCC

posterior cingulate cortex

tNAA

NAA+ N-acetyl aspartylglutamate

Footnotes

Disclosures: Mona Mohamed—RELATED: Grant: National Institutes of Health, Comments: work supported by the National Institutes of Health grant NS081196*. Peter B. Barker—RELATED: Grant: National Institutes of Health*. Richard L. Skolasky—RELATED: Grant: National Institutes of Health*; UNRELATED: Board Membership: North American Spine Society, Comments: member of the Board of Directors; Grants/Grants Pending: National Institutes of Health, Patient Centered Outcomes Research Institute (PCORI); OTHER RELATIONSHIPS: Associate Editor, Quality of Life Research. Ned Sacktor—RELATED: Grant: National Institutes of Health, Comments: work supported by the National Institutes of Health grant NS081196*. *Money paid to the institution.

This work was funded by National Institutes of Health grants RO1NS081196, P41EB015909, and P30MH075673.

References

  • 1. Gandhi NS, Skolasky RL, Peters KB, et al. . A comparison of performance-based measures of function in HIV-associated neurocognitive disorders. J Neurovirol 2011;17:159–65 10.1007/s13365-011-0023-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Kakinami L, de Bruyn G, Pronyk P, et al. . The impact of highly active antiretroviral therapy on activities of daily living in HIV-infected adults in South Africa. AIDS Behav 2011;15:823–31 10.1007/s10461-010-9776-y [DOI] [PubMed] [Google Scholar]
  • 3. Schifitto G, Kieburtz K, McDermott MP, et al. . Clinical trials in HIV-associated cognitive impairment: cognitive and functional outcomes. Neurology 2001;56:415–18 10.1212/WNL.56.3.415 [DOI] [PubMed] [Google Scholar]
  • 4. Vivithanaporn P, Heo G, Gamble J, et al. . Neurologic disease burden in treated HIV/AIDS predicts survival: a population-based study. Neurology 2010;75:1150–58 10.1212/WNL.0b013e3181f4d5bb [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Sailasuta N, Ross W, Ananworanich J, et al. ; RV254/SEARCH 010 protocol teams. Change in brain magnetic resonance spectroscopy after treatment during acute HIV infection. PLoS One 2012;7:e49272 10.1371/journal.pone.0049272 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Lentz MR, Degaonkar M, Mohamed MA, et al. . Exploring the relationship of macrophage colony-stimulating factor levels on neuroaxonal metabolism and cognition during chronic human immunodeficiency virus infection. J Neurovirol 2010;16:368–76 10.3109/13550284.2010.513029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Letendre S, Marquie-Beck J, Capparelli E, et al. ; CHARTER Group. Validation of the CNS Penetration-Effectiveness rank for quantifying antiretroviral penetration into the central nervous system. Arch Neurol 2008;65:65–70 10.1001/archneurol.2007.31 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Clifford DB. HIV-associated neurocognitive disorder. Curr Opin Infect Dis 2017;30:117–22 10.1097/QCO.0000000000000328 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Tozzi V, Balestra P, Bellagamba R, et al. . Persistence of neuropsychologic deficits despite long-term highly active antiretroviral therapy in patients with HIV-related neurocognitive impairment: prevalence and risk factors. J Acquir Immune Defic Syndr 2007;45:174–82 10.1097/QAI.0b013e318042e1ee [DOI] [PubMed] [Google Scholar]
  • 10. Harezlak J, Buchthal S, Taylor M, et al. ; HIV Neuroimaging Consortium. Persistence of HIV-associated cognitive impairment, inflammation, and neuronal injury in era of highly active antiretroviral treatment. AIDS 2011;25:625–33 10.1097/QAD.0b013e3283427da7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Neuenburg JK, Brodt HR, Herndier BG, et al. . HIV-related neuropathology, 1985 to 1999: rising prevalence of HIV encephalopathy in the era of highly active antiretroviral therapy. J Acquir Immune Defic Syndr 2002;31:171–77 10.1097/00126334-200210010-00007 [DOI] [PubMed] [Google Scholar]
  • 12. Valcour V, Paul R, Neuhaus J, et al. . The effects of age and HIV on neuropsychological performance. J Int Neuropsychol Soc 2011;17:190–95 10.1017/S1355617710001438 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Valcour V, Shikuma C, Shiramizu B, et al. . Higher frequency of dementia in older HIV-1 individuals: the Hawaii Aging with HIV-1 Cohort. Neurology 2004;63:822–27 10.1212/01.WNL.0000134665.58343.8D [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Van Zijl PC, Barker PB. Magnetic resonance spectroscopy and spectroscopic imaging for the study of brain metabolism. Ann N Y Acad Sci 1997;820:75–96 10.1111/j.1749-6632.1997.tb46190.x [DOI] [PubMed] [Google Scholar]
  • 15. Chong WK, Sweeney B, Wilkinson ID, et al. . Proton spectroscopy of the brain in HIV infection: correlation with clinical, immunologic, and MR imaging findings. Radiology 1993;188:119–24 10.1148/radiology.188.1.8099750 [DOI] [PubMed] [Google Scholar]
  • 16. Chang L, Ernst T, Leonido-Yee M, et al. . Highly active antiretroviral therapy reverses brain metabolite abnormalities in mild HIV dementia. Neurology 1999;53:782–89 10.1212/WNL.53.4.782 [DOI] [PubMed] [Google Scholar]
  • 17. Ernst T, Jiang CS, Nakama H, et al. . Lower brain glutamate is associated with cognitive deficits in HIV patients: a new mechanism for HIV-associated neurocognitive disorder. J Magn Reson Imaging 2010;32:1045–53 10.1002/jmri.22366 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Mohamed MA, Barker PB, Skolasky RL, et al. . Brain metabolism and cognitive impairment in HIV infection: a 3-T magnetic resonance spectroscopy study. Mag Reson Imaging 2010;28:1251–57 10.1016/j.mri.2010.06.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Sailasuta N, Shriner K, Ross B. Evidence of reduced glutamate in the frontal lobe of HIV-seropositive patients. NMR Biomed 2009;22:326–31 10.1002/nbm.1329 [DOI] [PubMed] [Google Scholar]
  • 20. Menon DK, Ainsworth JG, Cox IJ, et al. . Proton MR spectroscopy of the brain in AIDS dementia complex. J Comput Assist Tomogr 1992;16:538–42 10.1097/00004728-199207000-00007 [DOI] [PubMed] [Google Scholar]
  • 21. Meyerhoff DJ, MacKay S, Poole N, et al. . N-acetylaspartate reductions measured by 1H MRSI in cognitively impaired HIV-seropositive individuals. Magn Reson Imaging 1994;12:653–59 10.1016/0730-725X(94)92460-0 [DOI] [PubMed] [Google Scholar]
  • 22. Barker PB, Lee RR, McArthur JC. AIDS dementia complex: evaluation with proton MR spectroscopic imaging. Radiology 1995;195:58–64 10.1148/radiology.195.1.7892496 [DOI] [PubMed] [Google Scholar]
  • 23. Laubenberger J, Häussinger D, Bayer S, et al. . HIV-related metabolic abnormalities in the brain: depiction with proton MR spectroscopy with short echo times. Radiology 1996;199:805–10 10.1148/radiology.199.3.8638009 [DOI] [PubMed] [Google Scholar]
  • 24. Navia BA, Rostasy K. The AIDS dementia complex: clinical and basic neuroscience with implications for novel molecular therapies. Neurotox Res 2005;8:3–24 10.1007/BF03033817 [DOI] [PubMed] [Google Scholar]
  • 25. Paul RH, Yiannoutsos CT, Miller EN, et al. . Proton MRS and neuropsychological correlates in AIDS dementia complex: evidence of subcortical specificity. J Neuropsychiatry Clin Neurosci 2007;19:283–92 10.1176/jnp.2007.19.3.283 [DOI] [PubMed] [Google Scholar]
  • 26. Barker PB, Hearshen DO, Boska MD. Single-voxel proton MRS of the human brain at 1.5T and 3.0T. Magn Reson Med 2001;45:765–69 10.1002/mrm.1104 [DOI] [PubMed] [Google Scholar]
  • 27. Chang L, Ernst T, St Hillaire C, et al. . Antiretroviral treatment alters relationship between MCP-1 and neurometabolites in HIV patients. Antivir Ther 2004;9:431–40 [DOI] [PubMed] [Google Scholar]
  • 28. Young AC, Yiannoutsos CT, Hegde M, et al. . Cerebral metabolite changes prior to and after antiretroviral therapy in primary HIV infection. Neurology 2014;83:1592–600 10.1212/WNL.0000000000000932 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Tkác I, Oz G, Adriany G, et al. . In vivo 1H NMR spectroscopy of the human brain at high magnetic fields: metabolite quantification at 4T vs. 7T. Magn Reson Med 2009;62:868–79 10.1002/mrm.22086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Stephenson MC, Gunner F, Napolitano A, et al. . Applications of multi-nuclear magnetic resonance spectroscopy at 7T. World J Radiol 2011;3:105–13 10.4329/wjr.v3.i4.105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Antinori A, Arendt G, Becker JT, et al. . Updated research nosology for HIV-associated neurocognitive disorders. Neurology 2007;69:1789–99 10.1212/01.WNL.0000287431.88658.8b [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Radloff LS. The use of the Center for Epidemiologic Studies Depression Scale in adolescents and young adults. J Youth Adolesc 1991;20:149–66 10.1007/BF01537606 [DOI] [PubMed] [Google Scholar]
  • 33. Giebel CM, Challis D, Montaldi D. The newly revised interview for deteriorations in daily living activities in dementia (R-IDDD2): distinguishing initiative from performance at assessment. Int Psychogeriatr 2017;29:497–507 10.1017/S1041610216002003 [DOI] [PubMed] [Google Scholar]
  • 34. Kaur N, Belchior P, Gelinas I, et al. . Critical appraisal of questionnaires to assess functional impairment in individuals with mild cognitive impairment. Int Psychogeriatr 2016;28:1425–39 10.1017/S104161021600017X [DOI] [PubMed] [Google Scholar]
  • 35. Fantoni M, Izzi I, Del Borgo C, et al. . Inter-rater reliability of a modified Karnofsky Scale of Performance Status for HIV-infected individuals. AIDS Patient Care STDS 1999;13:23–28 10.1089/apc.1999.13.23 [DOI] [PubMed] [Google Scholar]
  • 36. Gaines JJ, Shapiro A, Alt M, et al. . Semantic clustering indexes for the Hopkins Verbal Learning Test-Revised: initial exploration in elder control and dementia groups. Appl Neuropsychol 2006;13:213–22 10.1207/s15324826an1304_2 [DOI] [PubMed] [Google Scholar]
  • 37. Shapiro AM, Benedict RH, Schretlen D, et al. . Construct and concurrent validity of the Hopkins Verbal Learning Test-revised. Clin Neuropsychol 1999;13:348–58 10.1076/clin.13.3.348.1749 [DOI] [PubMed] [Google Scholar]
  • 38. Woods SP, Scott JC, Conover E, et al. ; HIV Neurobehavioral Research Center Group. Test-retest reliability of component process variables within the Hopkins Verbal Learning Test-Revised. Assessment 2005;12:96–100 10.1177/1073191104270342 [DOI] [PubMed] [Google Scholar]
  • 39. Chang L, Lee PL, Yiannoutsos CT, et al. ; HIV MRS Consortium. A multicenter in vivo proton-MRS study of HIV-associated dementia and its relationship to age. Neuroimage 2004;23:1336–47 10.1016/j.neuroimage.2004.07.067 [DOI] [PubMed] [Google Scholar]
  • 40. Fjell AM, McEvoy L, Holland D, et al. ; Alzheimer's Disease Neuroimaging Initiative. What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus. Prog Neurobiol 2014;117:20–40 10.1016/j.pneurobio.2014.02.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Driscoll I, Troncoso JC, Rudow G, et al. . Correspondence between in vivo (11)C-PiB-PET amyloid imaging and postmortem, region-matched assessment of plaques. Acta Neuropathol 2012;124:823–31 10.1007/s00401-012-1025-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Öz G, Tkáč I. Short-echo, single-shot, full-intensity 1H MRS for neurochemical profiling at 4T: validation in the cerebellum and brainstem. Magn Reson Med 2011;65:901–10 10.1002/mrm.22708 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Pradhan S, Bonekamp S, Gillen JS, et al. . Comparison of single voxel brain MRS at 3T and 7T using 32-channel head coils. Magn Reson Imaging 2015;33:1013–18 10.1016/j.mri.2015.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Provencher SW. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med 1993;30:672–79 10.1002/mrm.1910300604 [DOI] [PubMed] [Google Scholar]
  • 45. Wilkinson ID, Miller RF, Miszkiel KA, et al. . Cerebral proton magnetic resonance spectroscopy in asymptomatic HIV infection. AIDS 1997;11:289–95 10.1097/00002030-199703110-00005 [DOI] [PubMed] [Google Scholar]
  • 46. Lentz MR, Kim WK, Kim H, et al. . Alterations in brain metabolism during the first year of HIV infection. J Neurovirol 2011;17:220–29 10.1007/s13365-011-0030-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. McArthur JC, Steiner J, Sacktor N, et al. . Human immunodeficiency virus-associated neurocognitive disorders: mind the gap. Ann Neurol 2010;67:699–714 10.1002/ana.22053 [DOI] [PubMed] [Google Scholar]
  • 48. Cloak CC, Chang L, Ernst T. Increased frontal white matter diffusion is associated with glial metabolites and psychomotor slowing in HIV. J Neuroimmunol 2004;157:147–52 10.1016/j.jneuroim.2004.08.043 [DOI] [PubMed] [Google Scholar]
  • 49. Mohamed MA, Lentz MR, Lee V, et al. . Factor analysis of proton MR spectroscopic imaging data in HIV infection: metabolite-derived factors help identify infection and dementia. Radiology 2010;254:577–86 10.1148/radiol.09081867 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Chang L, Ernst T, Witt MD, et al. . Relationships among brain metabolites, cognitive function, and viral loads in antiretroviral-naive HIV patients. Neuroimage 2002;17:1638–48 10.1006/nimg.2002.1254 [DOI] [PubMed] [Google Scholar]
  • 51. Wijtenburg SA, Rowland LM, Edden RA, et al. . Reproducibility of brain spectroscopy at 7T using conventional localization and spectral editing techniques. J Magn Reson Imaging 2013;38:460–67 10.1002/jmri.23997 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Mekle R, Mlynárik V, Gambarota G, et al. . MR spectroscopy of the human brain with enhanced signal intensity at ultrashort echo times on a clinical platform at 3T and 7T. Magn Reson Med 2009;61:1279–85 10.1002/mrm.21961 [DOI] [PubMed] [Google Scholar]
  • 53. Sailasuta N, Ananworanich J, Lerdlum S, et al. ; SEARCH 011 Study Group. Neuronal-glia markers by magnetic resonance spectroscopy in HIV before and after combination antiretroviral therapy. J Acquir Immune Defic Syndr 2016;71:24–30 10.1097/QAI.0000000000000779 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Castellano JF, Fletcher BR, Kelley-Bell B, et al. . Age-related memory impairment is associated with disrupted multivariate epigenetic coordination in the hippocampus. PLoS One 2012;7:e33249 10.1371/journal.pone.0033249 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Castellano JF, Fletcher BR, Patzke H, et al. . Reassessing the effects of histone deacetylase inhibitors on hippocampal memory and cognitive aging. Hippocampus 2014;24:1006–16 10.1002/hipo.22286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Daugherty A, Raz N. Age-related differences in iron content of subcortical nuclei observed in vivo: a meta-analysis. Neuroimage 2013;70:113–21 10.1016/j.neuroimage.2012.12.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Haacke EM, Miao Y, Liu M, et al. . Correlation of putative iron content as represented by changes in R2* and phase with age in deep gray matter of healthy adults. J Magn Reson Imaging 2010;32:561–76 10.1002/jmri.22293 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Persson N, Wu J, Zhang Q, et al. . Age and sex related differences in subcortical brain iron concentrations among healthy adults. Neuroimage 2015;122:385–98 10.1016/j.neuroimage.2015.07.050 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from AJNR: American Journal of Neuroradiology are provided here courtesy of American Society of Neuroradiology

RESOURCES