AJDRAJNR - American Journal of Neuroradiology

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Patel, S. H.
Right arrow Articles by Grossman, R. I.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Patel, S. H.
Right arrow Articles by Grossman, R. I.

American Journal of Neuroradiology 23:543-549, April 2002
© 2002 American Society of Neuroradiology

BRAIN

Correlation between Percentage of Brain Parenchymal Volume and Neurocognitive Performance in HIV-Infected Patients

Sohil H. Patela, Dennis L. Kolsonb, Guila Glosserb, Isabel Matozzoc, Yulin Gea, James S. Babbd, Lois J. Mannona and Robert I. Grossmana

a Department of Radiology (S.H.P., Y.G., L.J.M., R.I.G.), Hospital of the University of Pennsylvania
b Department of Neurology (D.L.K., G.G.), Hospital of the University of Pennsylvania
c Department of Medicine (I.M.), Hospital of the University of Pennsylvania
d Department of Biostatistics (J.S.B.), Fox Chase Cancer Center, Philadelphia, PA

Address reprint requests to Robert I. Grossman, MD, Department of Radiology, Hospital of the University of Pennsylvania, Founders, 3400 Spruce Street, Philadelphia, PA 19104


   Abstract
TOP
 Abstract
Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 
BACKGROUND AND PURPOSE: This study was designed to determine whether neuropsychological function in HIV-infected persons is correlated with loss of brain volume (as measured by percentage of brain parenchymal volume [PBV]). We hypothesized that whole-brain parenchymal volume might correlate with neuropsychologic performance, even before overt clinical dysfunction is apparent.

METHODS: A computer-assisted segmentation technique with thin section MR imaging was used for 15 patients with HIV infection (seven symptomatic, eight asymptomatic) and for five HIV-negative control participants to quantify whole brain and CSF volumes. To determine the degree of brain atrophy, the PBV relative to that of intracranial content was calculated. Neuropsychological performance was assessed by using a standard battery of eight tests (NPZ-8 test battery).

RESULTS: HIV-infected patients had significantly lower NPZ-8 scores (t[18] = 2.26, P < .05) and lower PBV (t[18] = 1.79, P < .01) than those of healthy control participants. With the Spearman rank order correlation coefficients, data analyzed for all 20 study participants (15 HIV-infected patients and five noninfected control participants) showed a significant (r = -0.50, P < .05) negative correlation between PBV and NPZ-8 test battery score. In addition, there was a significant negative correlation between subtest score of motor impairment and PBV (r = -0.69, P < .01) and between AIDS dementia complex score (r = -0.64) and PBV (P < .01).

CONCLUSION: These correlations suggest that quantitation of PBV may offer an objective, easily acquired surrogate predictor of neuropsychological impairment and clinically apparent cognitive/motor dysfunction among HIV-infected persons.


   Introduction
TOP
 Abstract
 Introduction
Methods
 Results
 Discussion
 Conclusion
 References
 
AIDS dementia complex (ADC) is an HIV-associated chronic, neurodegenerative syndrome afflicting 15–20% of patients with AIDS. It is characterized by progressive cognitive impairment and brain atrophy (1). The diagnosis of ADC requires the clinical indication of CNS neurologic dysfunction in addition to objective measures of dysfunction on standardized neuropsychological tests, typically the NPZ-8 test battery (2). The virus enters the brain early after systemic infection is established, and progressive neurodegeneration occurs as a result of viral replication within the cells of the macrophage lineage (3–5). The most common neuroradiologic brain abnormality in patients with ADC is atrophy; the next most common are white matter lesions (6). ADC is usually diagnosed during the later stages of AIDS (1, 7), and clinical symptoms include the presentation of subcortical features of inattention, indifference, and psychomotor slowing before the development of frank dementia (8–10). Unfortunately, by the time functional impairment develops in patients, significant brain atrophy may have occurred, suggesting that clinical manifestations of cognitive impairment often herald significant irreversible structural brain damage and cellular loss (11). It is critical, therefore, to develop objective measures of neurodegeneration that can potentially identify patients who are at risk for development of irreversible structural and functional impairment.

This study was designed to determine whether a correlation exists between the loss of brain volume (as measured by the percentage of brain parenchymal volume [PBV]) and neuropsychological functioning in HIV-infected persons. The PBV corrects for variability in the size of the intracranial contents. By measurement of the whole brain volume, the sampling bias of regional sampling techniques is avoided. We hypothesized that because HIV degeneration is a diffuse disease process, analysis of the entire brain parenchyma would provide a correlate for neurocognitive measures. We further hypothesized that because HIV infection of the CNS occurs early after initial systemic infection, loss of brain parenchymal volume may occur in infected persons before overt clinical manifestations of ADC are apparent.


   Methods
TOP
 Abstract
 Introduction
 Methods
Results
 Discussion
 Conclusion
 References
 
Participants

Fifteen patients who had seropositive results for HIV-1 (12 men, three women; eight neurologically asymptomatic, seven neurologically symptomatic) and five age-matched neurologically healthy control participants were enrolled in this study. The term neurologically symptomatic refers to patients who received ADC stage scores of >=0.5 based on examination by a neurologist experienced in the diagnosis of ADC (D.L.K.) and neuropsychologic testing (NPZ-8 test battery) (1). Several additional neuropsychological tests were also conducted to determine whether groupings of neuropsychological subtests would offer additional correlates with the PBV. By the same criteria, the term neurologically asymptomatic refers to patients who received an ADC stage score of zero, indicating absence of clinical neurologic dysfunction, and normal NPZ-8 test battery results. The mean age of the HIV-symptomatic patients was 40.06 years (age range, 22–56 years), the mean age of the HIV-asymptomatic patients was 34.06 years (age range, 28–40), and the mean age of the healthy control participants was 36.52 years (age range, 21–65 years). The NPZ-8 scores of the patients ranged from 0 to 15, with numbers >0 indicating increasing levels of neuropsychological dysfunction. Eight patients who tested seropositive had an ADC stage score of 0, five had a score of 0.5, and two had a score of 1. All HIV-positive patients participating in this study were recruited from the immunodeficiency program at the University of Pennsylvania and were prescreened for risk factors for cognitive impairment before study entry. Exclusion criteria included a history of concussive head injury, long-term steroid use, stroke, brain mass, seizures, active psychiatric disorder, and active alcohol or substance abuse. Patients who were enrolled in this study were screened by means of medical and/or neurologic history taking and physical examination. No patients with active drug or alcohol abuse were included in the study. A history of either drug or alcohol use was not an exclusionary criterion for enrollment, which was conducted according to guidelines used by the AIDS Clinical Trials Group of the National Institute of Allergy and Infectious Diseases of the National Institutes of Health. All patients who had an ADC rating of >=0.5 were enrolled in ongoing clinical studies for HIV-associated neurocognitive impairment through the AIDS Clinical Trials Unit of the University of Pennsylvania, which is part of the national AIDS Clinical Trials Group consortium. No patients were receiving corticosteroids, nor had any patients been receiving long-term corticosteroids.

All patients were deemed clinically stable, without progressive weight loss or constitutional symptoms, at the time of study entry. The study was approved by our institutional review board, and written informed consent was obtained from all patients and control participants.

MR Imaging

MR imaging was performed with a 1.5-T unit by using a quadrature transmit/receive head coil. All MR imaging examinations used fast spin-echo T2-weighted imaging with 2500/18/90 (TR/TE/effective TE), 3-mm-thick sections (contiguous, interleaved), 22-cm field of view, 256 x 192 matrix, >50 sections, echo train length of eight, and 0.86-mm pixel size. The first (intermediate-weighted) and second (T2-weighted) echoes of the fast spin-echo sequence in each study were then transferred electronically to our medical image processing laboratory, where the brain parenchymal volume and CSF volume were calculated. MR imaging of the brain was performed within 2 days of the neuropsychological examinations.

Image Processing

MR imaging data were transferred directly to the computer systems of the medical image processing group by means of a picture archiving and communication system. The images were processed by using an internal version of the 3DVIEWNIX (12) software system that was developed, maintained, and distributed by the Medical Image Processing Group of the University of Pennsylvania. All processing operations used to obtain the results reported herein were performed with a Sun Sparc 20 workstation (Sun Microsystems, Mountain View, CA) by a trained neuroradiologist (Y.G.). Lesion volume calculations were performed with a validated semiautomatic computerized method based on the concept of fuzzy connectedness by using two (intermediate-weighted and T2-weighted) image sets. This method has been described previously (13, 14) and validated in several studies (15–18) with more than 500 data sets. The known inter- and intraobserver variability for this method is <1% for the total lesion volume (17).

Parenchyma and CSF volumes also were determined with the 3DVIEWNIX system. The process began with the segmentation of the intracranial contents (17) after an operator briefly identified the gray matter, white matter, and CSF by specifying a few points in one section that was approximately centrally situated in the brain. All of the segmented sections (>50 in each study) were then reviewed, and any residual extracranial components were excluded, if need be, by the operator. This is the only processing step that requires manual interaction with each patient.

The CSF-only image was obtained with the whole-brain segmentation technique by using segmented T2-weighted and intermediate-weighted data sets. With this method (13, 14, 17), an angle image of CSF was created by using the following equation: Iangle = tan-1(IT2/IINT), where Iangle, IT2, IINT are the signal intensities of the voxels on the angle, T2-weighted, and intermediate-weighted images, respectively. The power of the angle image comes from the effective elimination of the wide variation in CSF signal intensities that are commonly seen on the T2-weighted and intermediate-weighted images because of inhomogeneity in the magnetic field. The resulting angle image has relatively homogenous CSF signal intensity values that can be effectively segmented with thresholding. The threshold value was selected by using the T2-weighted images to produce a CSF-only image, which accurately depicted the CSF volume. After normalization was achieved on the angle images, the threshold was fixed without requiring additional per-study adjustment. The CSF volume was calculated by summing the total volume of the voxels on the CSF-only image.

To normalize for baseline differences in brain parenchymal volume among patients and control participants, an additional parameter, the PBV, was calculated as the percentage of brain volume within the volume of the intracranial contents. PBV was calculated by dividing the brain parenchymal volume by the sum of the brain parenchymal volume and CSF volume. To determine the reproducibility of the various volume estimations, we performed repeat MR imaging within 1 week after the previous imaging examination for 10 randomly chosen patients. The previously described parameters were used to obtain the repeat images. For the whole-brain parenchymal volume calculation, we included those sections from the MR image sets that started from the section just before the cerebellum appeared in the bottom and extended to the last section at the top of the brain.

Neuropsychological Evaluation

Neuropsychological assessments were performed by using a standard battery of eight tests (NPZ-8 test battery), including the California Computerized Assessment Package (Cal Cap) reaction time tests (2, 19, 20) and additional tests of memory, motor function, and mood, as listed below. The NPZ-8 test battery included the following: trail making A and B, digit symbol test, timed gait, grooved pegboard (dominant and non-dominant hands), basic choice reaction time (Cal Cap), and sequential reaction time (Cal Cap). Overall Z scores were obtained by subtracting raw scores on individual tests from the reference group’s mean scores and dividing the differences by the reference group’s SD (2). Normal scores for each test were derived from the Multicenter AIDS Cohort Study HIV-negative sample group according to age and education level (21). The composite Z score (NPZ-8) represents the average of the individual Z scores for the eight tests. A composite Z score of >=2 in addition to clinical criteria according to the Memorial Sloan Kettering Classification system was required for the diagnosis of ADC (22–24).

To attempt to develop better discriminate neuropsychological subtest sensitivity for our analysis, in addition to the NPZ-8 test battery, we used the following tests to develop composite scores in areas of total memory, processing speed, motor speed, and mood: 1) Rey Auditory Verbal Learning Test of attention and verbal memory; 2) Stroop Color Interference Test for abstraction and divided attentional abilities; 3) WAIS-R vocabulary to estimate level of intellectual functioning at study entry; 4) Profile of Mood States to assesses current mood state and disturbances; and 5) The Center for Epidemiological Studies Depression Scale, a self-reported measure of symptoms of depression. We used these tests in addition to subtest scores from the NPZ-8 test battery to derive composite scores in for total memory impairment, motor speed impairment, processing speed impairment, and total mood dysfunction. These composite scores were defined as follows: total memory = average sum of raw scores from five Rey Auditory Verbal Learning Test trials; motor speed score = sum of Z scores from timed gait, grooved pegboard dominant hand, and grooved pegboard non-dominant hand; total mood score = sum of the subtest scores of the profile of mood states scores in areas of anxiety, depression, anger, vigor, fatigue, and confusion; processing speed score = sum of Z scores from trail making A, trail making B, digit symbol modalities, and Cal Cap computerized reaction time tests.

All neuropsychological testing was conducted by a nurse examiner (I.M.) highly experienced in ADC trials and trained and supervised by a clinical neuropsychologist (G.G.). The testing was conducted in a quiet room with minimal visual or audible distractions. Periods of rest were provided during testing to minimize the effects of fatigue.

To determine the relationship between PBV loss, HIV infection, and neurologic function, we examined subtest scores derived from our test battery and clinical ADC staging. The functional parameters we chose were ADC stage score, NPZ-8 score, and the following subtest groupings: total mood dysfunction score, total memory dysfunction score, processing speed (trail making A, trail making B, digit symbol modalities, and the Cal Cap computerized reaction time tests), and motor speed (timed gait, grooved pegboard dominant hand, and grooved pegboard nondominant hand).


   Results
TOP
 Abstract
 Introduction
 Methods
 Results
Discussion
 Conclusion
 References
 
We assessed brain volume in 15 HIV-1-infected patients recruited from the Immunodeficiency Program at the University of Pennsylvania. Patients were classified as either neurologically healthy or impaired (ADC stage of >=0.5) according to standard neurologic testing procedures (22). We also included five seronegative, neurologically healthy control participants. Patients underwent detailed neurologic examination, neuropsychological testing, and serologic studies for viral load and cluster of differentiation 4 T lymphocyte cell count. The average results from seven neurologically symptomatic (ADC stage, 0.5–1) patients, eight seropositive asymptomatic patients, and five seronegative normal control participants are presented in Table 1.


View this table:
[in this window]
[in a new window]
  		TABLE 1: Brain volume and neuropsychological performance in HIV-1 patient cohort

 

Note that for this study, we defined neurologically symptomatic patients as those with an ADC stage score >0. We realize that the designation minor cognitive motor disorder has been applied by some to patients with an apparent ADC stage score of 0.5.

Neuropsychological testing was performed by using standard neuropsychological tests as described in Methods. Standardization was performed by using the mean and SD for each test derived from the Multicenter AIDS Cohort Study HIV-negative sample group. For better discrimination of subtest sensitivity, we grouped the neuropsychological tests into three groups representing total memory impairment, motor speed impairment, processing speed impairment, and total mood dysfunction scores. Each ADC stage score represents a composite or average of scores for individual tests assessing that specific area of neurologic function. The ADC staging was determined according to standard neurologic criteria as described by the American Academy of Neurology (22, 23).

The 15 HIV-infected patients did not differ from the five healthy control participants with respect to age (t[18] = 0.57) or education (t[18] = 1.53). However, HIV-infected patients had significantly lower NPZ-8 scores (t[18] = 2.26, P < .05) and lower PBV (t[18] = 1.79, P < .01). We then examined Spearman rank order correlation coefficients to assess the degree of relationship between PBV and various indices of clinical function for all 20 participants.

Data analyzed for all 20 participants (15 HIV-infected patients and five noninfected control participants) showed a significant (r = -0.50, P < .05) negative correlation between PBV and NPZ-8 test battery score, as shown in Table 2. In addition, there was a significant negative correlation between subtest scores of motor impairment and PBV (r = -0.69, P < .01) and between the ADC stage score (r = -0.64) and PBV (P < .01). No significant correlations were found between total memory, processing speed, or total mood dysfunction scores and PBV.


View this table:
[in this window]
[in a new window]
  		TABLE 2: Correlations between percentage of PBV and behavioral measures

 


   Discussion
TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
Conclusion
 References
 
Although brain atrophy is usually found in patients with ADC, the relationship of brain atrophy to neurocognitive function, to stage of infection, and to immune status has been largely undefined. ADC is associated with HIV-1 infection of macrophages and microglia in the CNS and the release of neurotoxins that ultimately induce parenchymal damage, including significant neuronal loss and brain atrophy. The major pathologic features of ADC are cortical atrophy with varying degrees of dropout (<=50%) of cortical pyramidal neurons, altered cortical neuronal dendritic spine density and morphology, myelin pallor, and astrocytic proliferation (25–30). Milder forms of neurocognitive impairment may precede ADC. In general, the clinical manifestations of ADC occur in later stages of AIDS when plasma HIV RNA load increases and cluster of differentiation 4 counts decrease, and they are linked to release of neurotoxic metabolites and cytokines by infected macrophages and microglia within the brain parenchyma. Ultimately, ADC patients show dramatic loss of brain volume along with progressive deficits in psychomotor function and cognition. With more effective suppression of HIV-1 replication through the use of highly active anti-retroviral therapy, the risk of development of neurocognitive dysfunction may be decreased (31, 32), although it remains unclear how highly active anti-retroviral therapy affects the natural history of CNS HIV-1 infection and the resulting neurodegeneration and brain atrophy.

Most published neuroradiographic studies of ADC offer only qualitative assessments of atrophy. Poutianen et al (33), in 1992, used qualitative visual assessment of MR images to qualitatively describe the presence or absence of brain atrophy and to show associations between memory function and brain volume loss in HIV-1 infection. Quantitative studies of brain atrophy have often been limited to gross morphometric measures of linear dimensions in one or more axial planes that suffer from high inter- and intraobserver variability (34–39). Recently, several groups have attempted to implement more reliable techniques using segmentation analysis (classification of image pixels into specific tissue classes such as parenchyma, CSF, and others) rather than linear tracing to estimate brain volumes (40, 41). Paley et al (40), in 1994, used an automated segmentation technique to measure the CSF-to–intracranial volume ratio in 69 control participants and 189 HIV-infected patients and found that the CSF-to–intracranial volume ratio is significantly increased in symptomatic patients with late stage AIDS. These authors concluded that brain atrophy is a late stage phenomenon in ADC. In contrast, Jernigan et al (35), in 1993, estimated gray matter and white matter brain volumes using a manual stereotactic tracing technique in a total of 66 HIV-1 seropositive men, 31 of whom had non-neurologic symptoms and 35 of whom were asymptomatic. Control groups included a high-risk seronegativecohort and a cohort of seronegative patients with various psychiatric illnesses. Interestingly, the symptomatic patients (none with ADC) and some of the high-risk seronegative participants showed reduced volumes of cerebral gray matter and white matter and increased CSF volume. Some of the volume loss in the high-risk seronegative group was attributed to drug and alcohol use. Nonetheless, this study showed brain volume loss in HIV-1 infection even without overt neurologic dysfunction. Whether these patients were at increased risk for development of ADC was not determined.

Published studies to date indicate that brain atrophy results from HIV-1 infection in the CNS; that although atrophy may predominate in subcortical structures, it is a diffuse process affecting both gray and white matter; and that atrophy is generally more pronounced in neurologically impaired patients. However, the natural history of brain parenchymal loss and associated neurocognitive dysfunction during the course of HIV infection is unknown. Furthermore, techniques previously used for analysis of brain parenchymal volume in a number of studies generally suffer from high inter- and intraobserver variability and low sensitivity. Unanswered questions include whether development of brain atrophy begins early after infection or whether it develops later, after significant immunosuppression, and whether brain atrophy is a sensitive, objective early marker for future neurocognitive dysfunction. Notably, concurrent opportunistic CNS infections, such as cytomegalovirus and toxoplasmosis, may also contribute to development of brain atrophy in cases of AIDS (42), although our patients were free of such infections.

To more fully understand the natural history of neurodegeneration in patients with HIV-associated neurocognitive dysfunction, we used a highly reproducible, validated image processing methodology for the assessment of brain PBV. With PBV, this article differs from previous reports in several ways. Our technique uses 3-mm contiguous sections, whereas several past studies have used >=5-mm-thick sections (34, 36, 40, 43–45), which were noncontiguous in several studies (35, 38, 46, 47). Because HIV diffusely affects the brain, we performed whole-brain volume measurements, whereas many past studies used regional volume measurements (34–36, 43–47). This image processing technique is not affected by high inter- and intraobserver variability, as several past studies (34–39) have been.

Our results provide support to the theory that HIV infection ultimately diffusely affects the entire brain parenchyma and that brain atrophy occurs in HIV-infected patients even in the absence of overt clinical dysfunction manifested as ADC (36). Furthermore, our showing a significant correlation between subtest scores of motor impairment and PBV is consistent with the early development of atrophy in the basal ganglia in cases of HIV infection in the CNS and early development of motor impairment (44). Multiple pathologic studies describing neuronal loss within the basal ganglia as well as in the brain cortex in HIV-positive patients support this assertion (48–54), as do MR spectroscopy studies that show significant (N-acetylaspartate) NAA reductions in patients with HIV, a quantitative indicator of neuronal degeneration (55).

We found that neurocognitive deficits (higher NPZ-8 and clinical ADC staging scores) were significantly correlated with brain atrophy (lower brain volume). This suggests that PBV loss in general may predict poor neuropsychological test performance as well as more clinically apparent neurologic dysfunction (ADC stage score). Furthermore, our studies show that HIV infection itself is significantly correlated with poor neuropsychological performance. In total, these data indicate that HIV infection puts a person at risk for neuropsychological impairment (as defined by both neuropsychological test performance and clinical dysfunction manifested as ADC) as well as PBV loss. This suggests a quantifiable and clinically significant link between HIV infection and brain atrophy, as measured by PBV. We speculate that quantitation of PBV changes in HIV-infected persons over time may offer a means of identifying patients at increased risk for dementia and may offer a means of determining the neuroprotective potential within the CNS of anti-HIV drug regimens.

We have not attempted to correlate cluster of differentiation 4 count, concomitant use of antiretroviral drugs, or plasma RNA level with the PBV in this patient cohort, because our study represents a cross-sectional examination at a single time point in the course of HIV-1 infection. Published data suggest that cluster of differentiation 4 counts do not correlate with an increased risk for AIDS dementia (10), and although a high plasma viral load is observed in some patients with AIDS dementia (56), this is not a consistent finding (57). Correlations of these parameters with PBV requires a much larger patient cohort with longitudinal analysis. Because both cluster of differentiation 4 count and plasma RNA levels often change dramatically with changes in anti-retroviral therapy, we think that single-point, cross-sectional paraclinical markers such as cluster of differentiation 4 count and viral load are not reliable correlates for PBV, which reflects a chronic neurodegenerative process. Quantitation of PBV, however, offers a reliable measure of cumulative effects of HIV-1 infection in the CNS, without the confounding problem of short-term fluctuations, and it may provide a useful means for longitudinal follow-up of patients who are at risk for the development of neurocognitive dysfunction.


   Conclusion
TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
References
 
We have shown that neurocognitive deficits (higher NPZ-8 and clinical ADC staging scores) are significantly correlated with brain atrophy (lower PBV) in a cohort of HIV-infected and noninfected persons. This suggests that PBV loss in general may predict poor neuropsychological test performance as well as more clinically apparent neurologic dysfunction (ADC stage score). Specific tests of motor function may provide a rapid screen for patients who are at risk of PBV loss. Furthermore, our studies show that HIV infection itself is significantly correlated with poor neuropsychological performance. In total, these data indicate that HIV infection puts a person at risk for neuropsychological impairment (as defined by both neuropsychological test performance and clinical dysfunction manifested as ADC or specific motor impairment) and PBV loss. This suggests a quantifiable and clinically significant link between HIV infection and brain atrophy, as measured by PBV. We speculate that quantitation of PBV changes in HIV-infected persons over time may offer a means of identifying patients who are at increased risk for the development of dementia and may offer a means of determining the neuroprotective potential within the CNS of anti-HIV drug regimens.


   Footnotes
 
Supported by grants R01 NS 29029, NS 37172, and NS37651 from the National Institutes of Health and by the Center for AIDS Research and AIDS Clinical Trials Unit at the University of Pennsylvania.


   References
TOP
 Abstract
 Introduction
 Methods
 Results
 Discussion
 Conclusion
 References
 

  1. McArthur JC, Sacktor N, Selnes O. Human immunodeficiency virus-associated dementia. Semin Neurol1999; 19 :129 –150[Medline]

  2. Navia BA, Dafni U, Simpson D, et al. A phase I/II trial of nimodipine for HIV-related neurologic complications. Neurology1998; 51 :221 –228[Abstract/Free Full Text]

  3. Davis LE, Hjelle BL, Miller VE, et al. Early viral brain invasion in iatrogenic human immunodeficiency virus infection. Neurology1992; 42 :1736 –1739[Abstract/Free Full Text]

  4. Kolson DL, Pomerantz RJ. AIDS dementia and HIV-1-induced neurotoxicity: possible pathogenic associations and mechanisms. J Biomed Sci1996; 3 :389 –414[Medline]

  5. Gendelman HE, Lipton SA, Tardieu M, Bukrinsky MI, Nottet HS. The neuropathogenesis of HIV-1 infection. J Leukoc Biol1994; 56 :389 –398[Abstract]

  6. Bencherif B, Rottenberg DA. Neuroimaging of the AIDS dementia complex. AIDS1998; 12 :233 –244[Medline]

  7. Bouwman FH, Skolasky RL, Hes D, et al. Variable progression of HIV-associated dementia. Neurology1998; 50 :1814 –1820[Abstract/Free Full Text]

  8. Spencer DC, Price RW. Human immunodeficiency virus and the central nervous system. Annu Rev Microbiol1992; 46 :655 –693[Medline]

  9. Schmitt FA, Wetherby MM, Stern Y. Neuropsychological changes in human immunodeficiency virus infection. In: Berger JR, Levy RM, eds. AIDS and the Nervous System. 2nd ed. Philadelphia, PA: Lippincott-Raven;1997 :401 –417

  10. McArthur JC, Grant I. HIV neurocognitive disorders. In: Gendelman HE, Lipton SA, Epstein L, Swindells S, eds. The Neurology of AIDS. New York, NY: Chapman & Hall;1998 :499 –523

  11. Gonzalez RG, Ruiz A, Tracey I, McConnell J. Structural, functional, and molecular neuroimaging in AIDS. In: Gendelman HE, Lipton SA, Epstein L, Swindells S, eds. The Neurology of AIDS. New York, NY: Chapman & Hall;1998 :333 –352

  12. Udupa JK, Odhner D, Samarasekera S, et al. 3DVIEWNIX: an open, transportable, multidimensional, multimodality, multiparametric imaging software system. Proc SPIE1994; 2164 :58 –73

  13. Udupa JK, Samarasekera S. Fuzzy connectedness and object definition: theory, algorithms and applications in image segmentation. Graph Models Image Process1996; 58 :246 –261

  14. Udupa JK, Wei L, Samarasekera S, et al. Detection and quantification of MS legions using fuzzy topological principles. Proc SPIE1996; 2710 :81 –91

  15. Miki Y, Grossman RI, Udupa JK, et al. Differences between relapsing-remitting and chronic progressive multiple sclerosis as determined with quantitative MR imaging. Radiology1999; 210 :769 –774[Abstract/Free Full Text]

  16. van Buchem MA, Udupa JK, McGowan JC, et al. Global volumetric estimation of disease burden in multiple sclerosis based on magnetization transfer imaging. AJNR Am J Neuroradiol1997; 18 :1287 –1290[Abstract]

  17. Udupa J, Wei L, Samarasekera S, Miki Y, van Buchem MA, Grossman RI. Multiple sclerosis lesion quantification using fuzzy-connectedness priciples. IEEE Trans Med Imaging1997; 16 :598 –609[Medline]

  18. Phillips MD, Grossman RI, Miki Y, et al. Comparison of T2 lesion volume and magnetization transfer ratio histogram analysis and of atrophy and measures of lesion burden in patients with multiple sclerosis. AJNR Am J Neuroradiol1998; 19 :1055 –1060[Abstract]

  19. The Dana Consortium on Therapy for HIV Dementia and Related Cognitive Disorders. A randomized, double-blind, placebo-controlled trial of deprenyl and thioctic acid in human immunodeficiency virus-associated cognitive impairment. Neurology1998; 50 :645 –651[Abstract/Free Full Text]

  20. Miller EN, Satz P, Visscher B. Computerized and conventional neuropsychological assessment of HIV-1-infected homosexual men. Neurology1991; 41 :1608 –1616[Abstract/Free Full Text]

  21. Miller EN, Selnes OA, McArthur JC, et al. Neuropsychological performance in HIV-1 infected homosexual men: the Multicenter AIDS Cohort Study (MACS). Neurology1990; 40 :197 –203[Abstract/Free Full Text]

  22. The Dana Consortium on Therapy for HIV Dementia and Related Cognitive Disorders. Clinical confirmation of the American Academy of Neurology algorithm for HIV-1-associated cognitive/motor disorder. Neurology1996; 47 :1247 –1253[Abstract/Free Full Text]

  23. Janssen RS, Cornblath DR, Epstein LG, Foa RP, McArthur JC, Price RW. Nomenclature and research case definitions for neurologic manifestations of human immunodeficiency virus-type 1 (HIV-1) infection. Neurology1991; 41 :778 –785[Free Full Text]

  24. Price RW, Brew BJ. The AIDS Dementia Complex. J Infect Dis1988; 158 :1079 –1083[Medline]

  25. Navia B, Cho ES, Petito C, Price RW. The AIDS dementia complex: II. neuropathology. Ann Neurol1986; 19 :525 –535[Medline]

  26. Wiley CA, Masliah E, Morey M, et al. Neocortical damage during HIV infection. Ann Neurol1991; 29 :651 –657[Medline]

  27. Ketzler S, Weis S, Haug H, Budka H. Loss of neurons in the frontal cortex in AIDS brains. Acta Neuropathol (Berl)1990; 80 :92 –94[Medline]

  28. Sharer LR. Pathology of HIV-1 infection of the central nervous system: a review. J Neuropathol Exp Neurol1992; 51 :3 –11[Medline]

  29. Masliah E, Ge N, Morey M, DeTeresa R, Terry RD, Wiley CA. Cortical dendritic pathology in human immunodeficiency virus encephalitis. Lab Invest1992; 66 :285 –291[Medline]

  30. Masliah E, Achim CL, Ge N, DeTeresa R, Terry RD, Wiley CA. Spectrum of human immunodeficiency virus-associated neocortical damage. Ann Neurol1992; 32 :321 –329[Medline]

  31. Chang L, Ernst T, Leonido-Yee M, et al. Highly active antiretroviral therapy reverse brain metabolite abnormalities in mild HIV dementia. Neurology1999; 53 :782 –789[Abstract/Free Full Text]

  32. Martin EM, Pitrak DL, Pursell KJ, Andersen BR, Mullane KM, Novak RM. Information processing and antiretroviral therapy in HIV-1 infection. J Int Neuropsychol Soc1998; 4 :329 –335[Medline]

  33. Poutianen E, Elovaara E, Raininko R, et al. Cognitive performance in HIV-1 infection: relationship to severity of disease and brain atrophy. Acta Neurol Scand1992; 87 :88 –94

  34. Dal Pan GJ, McArthur JH, Aylward E, et al. Patterns of cerebral atrophy in HIV-1-infected individuals: results of a quantitative MRI analysis. Neurology1992; 42 :2125 –2130[Abstract/Free Full Text]

  35. Jernigan TL, Archiboald S, Hesselink JR, et al. Magnetic resonance imaging morphometric analysis of cerebral volume loss in human immunodeficiency virus infection. Arch Neurol1993; 50 :250 –255[Abstract/Free Full Text]

  36. Aylward EH, Henderer JD, McArthur JC, et al. Reduced basal ganglia volume and HIV-1-associated dementia: results from quantitative neuroimaging. Neurology1993; 43 :2099 –2104[Abstract/Free Full Text]

  37. Heindel WC, Jernigan TL, Archibald SL, Achim CL, Masliah E, Wiley CA. The relationship of quantitative brain magnetic resonance imaging measures to neuropathologic indexes of human immunodeficiency virus infection. Arch Neurol1994; 51 :1129 –1135[Abstract/Free Full Text]

  38. Chrysikopopoulos HS, Press GA, Grafe MR, Hesselink JR, Wiley CA. Encephalitis acused by human immunodeficiency virus: CT and MR imaging manifestations with clinical and pathological correlation. Radiology1990; 175 :185 –191[Abstract/Free Full Text]

  39. Gelman BB, Guinto FC. Morphometry, histopathology, and tomography of cerebral atrophy in the acquired immunodeficiency syndrome. Ann Neurol1992; 32 :31 –40[Medline]

  40. Paley MN, Chong WK, Wilkinson ID, et al. Cetebrospinal fluid-intracranial volume ratio measurements in patients with HIV infection: CLASS image analysis technique. Radiology1994; 190 :879 –886[Abstract/Free Full Text]

  41. Kohn MI, Tanna NK, Herman GT, et al. Analysis of brain and cerebrospinal fluid volumes with MR imaging, I: methods, reliability, and validation. Radiology1991; 178 :115 –122[Abstract/Free Full Text]

  42. Whiteman ML, Post MJ, Sklar EM. Neuroimaging of Acquired Immune Deficiency Syndrome. in Berger JR, Levy RM, eds. AIDS & the Nervous System. Philadelphia, Pa: Lippincott-Raven Publishers;1997 :297 –382

  43. Hestad K, McArthur JH, Dal Pan GJ, et al. Regional brain atrophy in HIV-1 infection: association with specific neuropsychological test performance. Acta Neurol Scand1993; 88 :112 –118[Medline]

  44. Kieburtz K, Ketonen L, Cox C, et al. Cognitive performance and regional brain volume in human immunodeficiency virus type 1 infection. Arch Neurol1996; 53 :155 –158[Abstract/Free Full Text]

  45. Aylward EH, Brettschneider PD, McArthur JC, et al. Magnetic resonance imaging measurement of gray matter volume reductions in HIV dementia. Am J Psychiatry1995; 152 :987 –994[Abstract/Free Full Text]

  46. Hall M, Whaley R, Robertson K, Hamby S, Wilkins J, Hall C. The correlation between neuropsychological and neuroanatomic changes over time in asymptomatic and symptomatic HIV-1-infected individuals. Neurology1996; 46 :1697 –1702[Abstract/Free Full Text]

  47. Stout JC, Ellis RJ, Jernigan TL, et al. Progressive cerebral volume loss in human immunodeficiency virus infection: a longitudinal volumetric magnetic resonance imaging study: HIV Neurobehavioral Research Center Group. Arch Neurol1998; 55 :161 –168[Abstract/Free Full Text]

  48. Itoh K, Mehraein P, Weis S. Neuronal damage of the substantia nigra in HIV-1 infected brains. Acta Neuropathol (Berl)2000; 99 :376 –384[Medline]

  49. Abe H, Mehraein P, Weis S. Degeneration of the cerebellar dentate nucleus and the inferior olivary nuclei in HIV-1-infected brains: a morphometric analysis. Acta Neuropathol (Berl)1996; 92 :150 –155[Medline]

  50. Reyes MG, Faraldi F, Senseng CS, Flowers C, Fariello R. Nigral degeneration in acquired immune deficiency syndrome (AIDS). Acta Neuropathol (Berl)1991; 82 :39 –44[Medline]

  51. Zink WE, Zheng J, Persidsky Y, Poluektova L, Gendelman HE. The neuropathogenesis of HIV-1 infection. FEMS Immunol Med Microbiol1999; 26 :233 –241[Medline]

  52. Weis S, Haug H, Budka H. Neuronal damage in the cerebral cortex of AIDS brains: a morphometric study. Acta Neuropathol (Berl)1993; 85 :185 –189[Medline]

  53. Wiley CA, Masliah E, Morey M, et al. Neocortical damage during HIV infection. Ann Neurol1991; 29 :651 –657

  54. Ketzler S, Weis S, Haug H, Budka H. Loss of neurons in the frontal cortex in AIDS brains. Acta Neuropathol (Berl)1990; 80 :92 –94

  55. Harrison MJ, Newman SP, Hall-Craggs MA, et al. Evidence of CNS impairment in HIV infection: clinical, neuropsychological, EEG, and MRI/MRS study. J Neurol Neurosurg Psychiatry1998; 65 :301 –307[Abstract/Free Full Text]

  56. Childs EA, Lyles RH, Selnes OA, et al. Plasma viral load and CD4 lymphocytes predict HIV-associated dementia and sensory neuropathy. Neurology1999; 52 :607 –613[Abstract/Free Full Text]

  57. Robertson K, Fiscus S, Kapoor C, et al. CSF, plasma viral load and HIV associated dementia. J Neurovirol1998; 4 :90 –94[Medline]

Received May 7, 2001; accepted after revision September 12, 2001.




This article has been cited by other articles:


Home page
 NeurologyHome page
B. M. Ances, A. C. Roc, J. Wang, M. Korczykowski, J. Okawa, J. Stern, J. Kim, R. Wolf, K. Lawler, D. L. Kolson, et al.
Caudate blood flow and volume are reduced in HIV+ neurocognitively impaired patients
Neurology, March 28, 2006; 66(6): 862 - 866.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
P. M. Thompson, R. A. Dutton, K. M. Hayashi, A. W. Toga, O. L. Lopez, H. J. Aizenstein, and J. T. Becker
Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+ T lymphocyte decline
PNAS, October 25, 2005; 102(43): 15647 - 15652.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Neuroradiol.Home page
A. B. Ragin, P. Storey, B. A. Cohen, L. G. Epstein, and R. R. Edelman
Whole Brain Diffusion Tensor Imaging in HIV-Associated Cognitive Impairment
AJNR Am. J. Neuroradiol., February 1, 2004; 25(2): 195 - 200.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. PsychiatryHome page
J. M. Bjork, S. J. Grant, and D. W. Hommer
Cross-Sectional Volumetric Analysis of Brain Atrophy in Alcohol Dependence: Effects of Drinking History and Comorbid Substance Use Disorder
Am J Psychiatry, November 1, 2003; 160(11): 2038 - 2045.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Neuroradiol.Home page
S. H. Patel, M. Inglese, G. Glosser, D. L. Kolson, R. I. Grossman, and O. Gonen
Whole-Brain N-Acetylaspartate Level and Cognitive Performance in HIV Infection
AJNR Am. J. Neuroradiol., September 1, 2003; 24(8): 1587 - 1591.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Neuroradiol.Home page
Y. Ge, D. L. Kolson, J. S. Babb, L. J. Mannon, and R. I. Grossman
Whole Brain Imaging of HIV-Infected Patients: Quantitative Analysis of Magnetization Transfer Ratio Histogram and Fractional Brain Volume
AJNR Am. J. Neuroradiol., January 1, 2003; 24(1): 82 - 87.
[Abstract] [Full Text] [PDF]

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Patel, S. H.
Right arrow Articles by Grossman, R. I.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Patel, S. H.
Right arrow Articles by Grossman, R. I.

Copyright © 2010 by the American Society of Neuroradiology. Print ISSN: 0195-6108 Online ISSN: 1936-959X