Altered White Matter Integrity in Human Immunodeficiency Virus-Associated Neurocognitive Disorder: A Tract-Based Spatial Statistics Study

Abstract

Objective

Human immunodeficiency virus (HIV) infection has been known to damage the microstructural integrity of white matter (WM). However, only a few studies have assessed the brain regions in HIV-associated neurocognitive disorders (HAND) with diffusion tensor imaging (DTI). Therefore, we sought to compare the DTI data between HIV patients with and without HAND using tract-based spatial statistics (TBSS).

Materials and Methods

Twenty-two HIV-infected patients (10 with HAND and 12 without HAND) and 11 healthy controls (HC) were enrolled in this study. A whole-brain analysis of fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity was performed with TBSS and a subsequent 20 tract-specific region-of-interest (ROI)-based analysis to localize and compare altered WM integrity in all group contrasts.

Results

Compared with HC, patients with HAND showed decreased FA in the right frontoparietal WM including the upper corticospinal tract (CST) and increased MD and RD in the bilateral frontoparietal WM, corpus callosum, bilateral CSTs and bilateral cerebellar peduncles. The DTI values did not significantly differ between HIV patients with and without HAND or between HIV patients without HAND and HC. In the ROI-based analysis, decreased FA was observed in the right superior longitudinal fasciculus and was significantly correlated with decreased information processing speed, memory, executive function, and fine motor function in HIV patients.

Conclusion

These results suggest that altered integrity of the frontoparietal WM contributes to cognitive dysfunction in HIV patients.

INTRODUCTION

Human immunodeficiency virus (HIV) infection, previously known as a life-limiting disease, is now regarded as a chronic, manageable disease after the development of combination antiretroviral treatment (cART) (1). With this advance in treatment, the number of possibly fatal opportunistic infections has been dramatically reduced along with cases of severe dementia secondary to HIV infection. However, in patients who undergo long-term treatment, milder forms of HIV-associated neurocognitive disorders (HAND) are still detected (2). The prevalence of HAND is substantial in the Korean (26.3%) as well as the Western (16–52%) populations even in patients with the virus under successful control, and this cognitive decline impairs the daily functioning of HIV patients (3,4,5).

Diagnosing HAND is often challenging during the typical outpatient visit and requires complicated neuropsychological (NP) tests (6). However, these NP tests are tedious and may not be confirmative in patients with physical or sensory disability, or illiteracy (7,8).

While conventional MRI cannot satisfactorily assess HAND in early diagnosis (9,10), early assessment might be possible with diffusion tensor imaging (DTI). DTI evaluates water diffusion in the white matter (WM) of the brain and shows brain integrity based on indices such as fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). It is widely used to detect microstructural abnormalities of WM in various types of disease including HIV infection (9,11). In previously published studies, HIV-infected patients showed decreased FA and increased MD and RD values in various portions of WM including the corpus callosum, hippocampi, deep and periventricular WM, and striatocapsular area (9,12). However, few studies used DTI to compare HAND in HIV-infected patients with those without cognitive impairment. We hypothesized that differences in WM integrity between these two groups may contribute to our understanding of the underlying pathophysiology of HAND and facilitate the development of appropriate diagnostic tools.

Therefore, we investigated the integrity of WM in patients with HAND by comparing DTI values with HIV-infected patients with intact cognition (HIV-IC) and healthy controls (HC). We processed DTI data using tract-based spatial statistics (TBSS) to identify microstructural changes in the WM tracts. An additional region-of-interest (ROI) analysis was performed using masks that were extracted from the TBSS analysis. We also performed a correlation analysis between mean DTI values calculated from the ROIs with NP test results to correlate microstructural changes in WM with neurocognitive function in HIV patients.

MATERIALS AND METHODS

Subjects

This prospective study was approved by the Institutional Review Board and informed consent was obtained from all patients and HC. Between December 2012 and September 2014, 22 HIV patients (10 with HAND and 12 without HAND [HIV-IC]) underwent DTI and standardized NP tests (4) within a one-month interval. Patients with comorbid conditions that could influence cognitive status and/or daily functioning were excluded, according to the criteria described elsewhere (4,6). We also recruited 11 age- and sex-matched HC without objective cognitive impairment.

Assessment of Cognitive Status

To assess the cognitive status, all the HIV patients underwent NP tests designed to represent six cognitive domains: 1) speed of information processing (Korean version of Wechsler Adult Intelligence Scale [K-WAIS] digit symbol subtest and trail making test part A [TMT A]); 2) memory including learning and recall (Korean version of auditory verbal learning test [K-AVLT] and complex figure test); 3) abstraction/executive function (Wisconsin Card Sorting Test [WCST], K-WAIS similarity subtest, and trail making test part B [TMT B]); 4) attention/working memory (K-WAIS digit span subtest); 5) sensory perception/motor skills (Grooved Pegboard Test); and 6) verbal/language (K-WAIS vocabulary subtest). The scores of TMT A, TMT B, and the Grooved Pegboard Test represent time in seconds spent to complete a given task and higher scores denote poor performance. The scores of the other tests are represented as either a standard score or age-scaled score and higher scores denote better performance. Cognitive status was classified as impaired when the scores were greater than 1 standard deviation below the demographically adjusted normative mean from published results with HIV-negative subjects (13,14,15,16,17). Frascati criteria (6) were used in the outpatient clinic to clinically diagnose HAND.

Statistical Analyses for Demographics and NP Test Results

Age and years of education were compared between the three groups using ANOVA and the Kruskal-Wallis test. The two-sample t test and Mann-Whitney test were performed to compare NP test results between the HAND and HIV-IC groups. All the statistical analyses were performed using SPSS version 20.0 (IBM Corp., Armonk, NY, USA). P < 0.05 was considered statistically significant.

Image Acquisition

All the scans were acquired using a 3T scanner (MAGNETOM Trio Tim, Siemens, Erlangen, Germany) with a 32-channel head coil. Head motion was minimized with restraining foam pads provided by the manufacturer. An axial diffusion tensor single-shot echo-planar imaging acquisition was performed with the following parameters: 60 non-collinear, non-coplanar directions using b = 3000 s/mm² with 7 baseline images without diffusion weighting; number of excitation = 1; field of view = 230 mm; echo time = 109 ms; repetition time = 10000 ms; flip angle = 90°; slice thickness = 2.3 mm; in-plane resolution = 2.3 × 2.3 mm²; and 72 axial slices. Total acquisition time was 11 minutes 40 seconds.

Post-Processing of DTI Data and TBSS Analysis

All the DTI data were processed using the Functional Magnetic Resonance Imaging of the Brain (FMRIB) Software Library (FSL) program (http://www.fmrib.ox.ac.uk/fsl/). Motion artifacts and eddy current distortions were first corrected by normalization of each directional volume to the non-diffusion-weighted volume (b0) using the FMRIB Linear Image Registration Tool with 6 degrees of freedom. The diffusion tensor was calculated using simple least-squares fit of the tensor model, and FA, MD, AD, and RD maps were computed for each voxel using standard methods for the DTIFIT program in FSL. All the FA images were aligned to the standard FMRIB58_FA template, which was provided by the FSL program using a nonlinear registration algorithm implemented in the TBSS package. The FA images were then averaged to create a mean FA skeleton. Each subject's aligned FA images were projected onto this skeleton by filling each voxel on the skeleton with the maximum FA values from a plane perpendicular to the local skeleton structure (18). To exclude voxels of adjacent gray matter or cerebrospinal fluid, a threshold FA value of 0.2 was chosen. The MD, AD, and RD maps were also processed with the same method used for the FA maps by applying the nonlinear registration algorithm and projecting them onto the mean FA skeleton. Voxel-wise statistical analysis of individual skeleton images was performed using nonparametric permutation-based two-sample t tests to compare the DTI values for each group pair. The null distribution was constructed over 5000 permutations.

The threshold-free cluster enhancement approach with two-dimensional parameter settings was used for control over the multiple comparison correction. All the results derived from TBSS analysis were considered significant with a family-wise error-corrected p < 0.05. To identify WM tracts, two WM atlases within FSL (http://fsl.fmrib.ox.ac.uk/fsl/data/atlas-descriptions.html), the Johns Hopkins University (JHU) WM tractography atlas and the International Consortium of Brain Mapping-DTI WM labels atlas, were used.

ROI-Based Analysis of DTI Values and Correlation Analysis with NP Tests

The group comparison results were significant only between the HAND and control groups on TBSS analysis, which might be attributed to the relatively small number of subjects in our cohort. Therefore, we performed an ROI-based analysis to define group differences between the HAND and HIV-IC groups, our main study goal. In this analysis, we defined masks on areas which revealed significantly different diffusion measures (FA, MD, and RD) between the HAND and HC groups. Then, we subdivided WM into 20 tracts identified by the JHU WM tractography atlas (Supplementary Fig. 1 in the online-only Data Supplement), which is comprised of the left/right (L/R) anterior thalamic radiation (ATR), L/R corticospinal tract (CST), L/R cingulum (cingulate gyrus), L/R cingulum (hippocampus), forceps major, forceps minor, L/R inferior fronto-occipital fasciculus (IFOF), L/R inferior longitudinal fasciculus (ILF), L/R superior longitudinal fasciculus (SLF), L/R uncinate fasciculus, and L/R SLF temporal part using the semi-automated method. Subsequently, we created tract-specific masks with brain regions that showed significant differences between the HAND and HC groups on TBSS analysis overlapping with the ROI of each atlas. As a result, we divided the FA masks into the right CST, right SLF, and right SLF temporal part; MD masks into bilateral ATR, bilateral cingulum (cingulate gyrus), bilateral CST, forceps major and minor, bilateral IFOF, bilateral ILF, bilateral SLF, bilateral SLF temporal part, and left uncinate fasciculus; and RD masks into 19 parts except for the cingulum (hippocampus). We extracted the mean DTI values from each tract-specific ROI projected onto each subject's skeletonized map and compared the mean values between groups using ANOVA, a post-hoc analysis with the two-sample t test and Kruskal-Wallis test, and a post-hoc analysis with the Mann-Whitney test applying a corrected p value by the Bonferroni method according to the results of the normality test, respectively. Additionally, we performed trend analyses of DTI values in the ROI between the groups using the Jonckheere-Terpstra test under the hypothesis that HC, HIV-IC, and HAND were all components of a single disease spectrum (with altered WM representing the most severe parameter in the HAND group). To define the WM tract associated with the cognitive decline in HIV patients, we performed a correlation analysis between DTI values of a particular WM tract and NP test scores showing significant differences between the HAND and HIV-IC groups using Pearson's and Spearman's tests for normally and non-normally distributed data, respectively. All statistical analyses were performed using SPSS version 20.0 (IBM Corp.).

RESULTS

Demographics

All the subjects enrolled in this study were male, without any significant differences in age (53.0 ± 2.3 years, 52.5 ± 2.0 years, and 56.0 ± 2.6 years; p = 0.699) or years of education (12.4 ± 0.4 years, 12.8 ± 1.0 years, and 13.2 ± 1.3 years; p = 0.958) between the HC, HIV-IC, and HAND groups. All patients were on stable highly active anti-retroviral therapy and had CD4 > 200 cells/mL and viral load < 20 copies/mL except for one patient in the HAND group who had a viral load of 52.2 copies/mL. Although the HAND group required a longer mean time to complete TMT A (p = 0.032), only one HAND patient met the criteria of impaired information processing speed. On the other hand, compared with the HIV-IC group, the HAND group showed cognitive dysfunction associated with memory including learning and recall (p = 0.010), abstraction/executive function (p = 0.002), and sensory perception or motor skills (p = 0.008). Patients in the HAND group had lower memory scores on K-AVLT sub-tests, lower executive function in WCST and TMT B, and higher motor dysfunction in the Grooved Pegboard Test than patients in the HIV-IC group. The NP test results are briefly summarized in Table 1.

Table 1. Neuropsychological Status of HIV-IC and HAND.

	HIV-IC (n = 12)	HAND (n = 10)	P
Speed of information processing (preserved/impaired)	12/0	9/1	0.455
K-WAIS digit symbol subtest, ASS†	13.3 ± 0.4	12.5 ± 0.7	0.628
TMT A, s	27.5 ± 2.4	39.6 ± 4.5	0.032*
Memory including learning and recall (preserved/impaired)	12/0	5/5	0.010*
K-AVLT delayed recall, ASS	11.8 ± 0.6	7.9 ± 1.2	0.008*
K-AVLT delayed recognition, ASS	11.8 ± 0.8	9.7 ± 1.0	0.117
K-AVLT total (Trial 1–5), SS†	60.5 ± 6.9	47.8 ± 10.8	0.006*
KCFT copy, ASS†	15.5 ± 0.6	15.4 ± 0.7	1.000
KCFT immediate recall, ASS	14.6 ± 0.7	13.1 ± 1.1	0.251
KCFT delayed recall, ASS	14.3 ± 0.8	13.2 ± 1.1	0.406
Abstraction or executive function (preserved/impaired)	11/1	2/8	0.002*
WCST percent conceptual level responses, SS	103 ± 4.8	82.6 ± 4.6	0.006*
WCST perseverative errors, SS†	106.8 ± 5.7	87.8 ± 4.1	0.080
WCST total number of errors, SS	103.8 ± 4.8	81.8 ± 5.1	0.005*
K-WAIS similarity subtest, ASS	12.7 ± 0.6	12.2 ± 0.8	0.628
TMT B, s†	88.3 ± 12.2	189.7 ± 44.1	0.030*
Attention or working memory (preserved/impaired)	12/0	12/0	N/A
K-WAIS digits span subtest, ASS	13.7 ± 0.8	11.9 ± 0.9	0.165
Sensory Perception or motor skills (preserved/impaired)	10/2	2/8	0.008*
Grooved Pegboard Test, s†	63.7 ± 3.1	87.7 ± 9.2	0.003*
Verbal or language (preserved/impaired)	12/0	1/9	0.455
K-WAIS vocabulary subtest†	11.9 ± 0.6	11.3 ± 0.9	0.346

Data are mean values ± standard deviation. ^*p < 0.05, ^†Tested using nonparametric method. ASS = age-scaled scores, HAND = HIV-associated neurocognitive disorders, HIV = human immunodeficiency virus, HIV-IC = HIV-infected patients with intact cognition, K-AVLT = Korean version of Auditory Verbal Learning Test, KCFT = age-corrected scores on Korean complex figure test, K-WAIS = Korean version of Wechsler Adult Intelligence Scale, N/A = not applicable, s = seconds, SS = standard scores, TMT A = trail making test part A, TMT B = trail making test part B, WCST = Wisconsin Card Sorting Test

TBSS Results

Compared with the HC group, the HAND group showed decreased FA in the right corona radiata including CST (Fig. 1) and increased MD in the bilateral superior and posterior corona radiata, right anterior corona radiata, bilateral SLF and ILF, body and splenium of corpus callosum, bilateral posterior limbs and retrolenticular parts of internal capsules, bilateral posterior thalamic radiations, bilateral cerebral peduncles, bilateral sagittal striata, and bilateral cerebellar peduncles and medial lemnisci (Fig. 2). For RD, the HAND group showed increased values in the bilateral corona radiata, bilateral SLF and ILF, corpus callosum, bilateral internal capsule, bilateral thalamic radiations, bilateral superior and middle cerebellar peduncles, and bilateral medial lemnisci (Fig. 3). AD values were not significantly different between the HAND and HC groups. DTI values did not significantly differ between the HAND and HIV-IC groups, nor did they differ between the HIV-IC and HC groups.

Fig. 1. TBSS analysis of FA maps.

Areas in sky blue-blue represent brain regions with significant decrease in FA (FWE-corrected p < 0.05) in HAND group relative to HC. Results are shown overlaid on Montreal Neurological Institute 152-T1 template and mean FA skeleton (green). Left side of image corresponds to right hemisphere of brain. FA = fractional anisotropy, FWE = family-wise error, HAND = HIV-associated neurocognitive disorders, HC = healthy controls, HIV = human immunodeficiency virus, TBSS = tract-based spatial statistics

Fig. 2. TBSS analysis of MD maps.

Areas in orange-red represent brain regions with significant increase in MD (FWE-corrected p < 0.05) in HAND group relative to HC. Green represents mean white matter skeleton of all subjects. MD = mean diffusivity

Fig. 3. TBSS analysis of RD maps.

Areas in orange-red represent brain regions with significant increase in RD (FWE-corrected p < 0.05) in HAND group relative to HC. Green represents mean white matter skeleton of all subjects. RD = radial diffusivity

ROI-Based Analyses of DTI Values between the Groups

Compared with the HIV-IC group, the HAND group showed significantly lower mean FA in the right SLF mask (p = 0.008). Although there were no significant differences, the mean MD in the left SLF temporal (p = 0.058) masks and the mean RD in the left SLF mask (p = 0.059) showed higher values in the HAND group compared with the HIV-IC group. Compared with the HC group, the HIV-IC group showed significantly altered DTI values mainly in CST, ATR, IFOF, and ILF and the HAND group showed altered DTI values in wider areas (Table 2). In the trend analysis, all but the mean MD in the forceps minor and right cingulum (hippocampus) masks demonstrated significant trends across the groups. All the mean FA values showed an increasing trend from the HC group to the HAND group, while the mean MD and RD values showed a decreasing trend (Fig. 4).

Table 2. Comparison of Mean DTI Values between Groups in ROI-Based Analysis.

Mean DTI Values in ROI	HAND (n = 10)	HIV-IC (n = 12)	HC (n = 11)	Pa	Post-Hoc Analysis
					P1b	P2c	P3d
FA
CST_R	0.42830 ± 0.02436	0.44567 ± 0.02428	0.48042 ± 0.02233	< 0.001*	0.290	< 0.001**	0.004**
SLF_R	0.33062 ± 0.03027	0.37167 ± 0.02961	0.39266 ± 0.02821	< 0.001*	0.008**	< 0.001**	0.291
SLFTP_R	0.31225 ± 0.03759	0.33253 ± 0.01996	0.35941 ± 0.03130	0.004*	0.372	0.003**	0.119
MD
ATR_L	0.00049 ± 0.00003	0.00047 ± 0.00002	0.00045 ± 0.00001	0.001*	0.148	< 0.001**	0.067
ATR_R	0.00048 ± 0.00003	0.00047 ± 0.00002	0.00044 ± 0.00001	< 0.001*	0.614	< 0.001**	0.005**
CCG_L	0.00054 ± 0.00003	0.00053 ± 0.00003	0.00050 ± 0.00003	0.009*	1.000	0.010**	0.075
CCG_R	0.00050 ± 0.00006	0.00050 ± 0.00004	0.00046 ± 0.00003	0.049*	1.000	0.091	0.109
CST_L	0.00047 ± 0.00002	0.00045 ± 0.00001	0.00043 ± 0.00001	< 0.001*	0.139	< 0.001**	0.008**
CST_R	0.00046 ± 0.00002	0.00045 ± 0.00001	0.00043 ± 0.00001	< 0.001*	0.695	< 0.001**	0.003**
FCPM†	0.00055 ± 0.00005	0.00054 ± 0.00003	0.00052 ± 0.00003	0.041*	0.974	0.024	0.037
FCPm	0.00050 ± 0.00004	0.00049 ± 0.00003	0.00047 ± 0.00001	0.113	NA	NA	NA
IFOF_L†	0.00056 ± 0.00004	0.00054 ± 0.00002	0.00051 ± 0.00002	0.002*	0.203	0.001**	0.004**
IFOF_R	0.00054 ± 0.00003	0.00053 ± 0.00002	0.00050 ± 0.00002	0.001*	0.419	0.001**	0.042**
ILF_L†	0.00053 ± 0.00004	0.00051 ± 0.00002	0.00049 ± 0.00002	0.001*	0.228	< 0.001**	0.007**
ILF_R	0.00053 ± 0.00003	0.00053 ± 0.00002	0.00050 ± 0.00002	0.001*	0.931	0.001**	0.012**
SLF_L†	0.00053 ± 0.00003	0.00051 ± 0.00003	0.00049 ± 0.00002	0.001*	0.021	< 0.001**	0.069
SLF_R†	0.00053 ± 0.00003	0.00050 ± 0.00003	0.00048 ± 0.00002	0.002*	0.069	< 0.001**	0.051
SLFTP_L	0.00053 ± 0.00003	0.00051 ± 0.00002	0.00049 ± 0.00002	0.001*	0.058	< 0.001**	0.129
SLFTP_R	0.00052 ± 0.00003	0.00050 ± 0.00002	0.00048 ± 0.00002	0.001*	0.194	0.001**	0.065
UF_L	0.00061 ± 0.00004	0.00061 ± 0.00003	0.00056 ± 0.00004	0.005*	1.000	0.030**	0.006**
RD
ATR_L	0.00041 ± 0.00003	0.00039 ± 0.00002	0.00037 ± 0.00001	0.002*	0.194	0.002**	0.128
ATR_R	0.00040 ± 0.00003	0.00038 ± 0.00002	0.00036 ± 0.00001	0.001*	0.305	0.001**	0.038**
CCG_L†	0.00044 ± 0.00004	0.00043 ± 0.00003	0.00040 ± 0.00003	0.014*	0.497	0.002**	0.059
CCG_R	0.00047 ± 0.00006	0.00045 ± 0.00004	0.00041 ± 0.00005	0.026*	1.000	0.032**	0.112
Ch_R	0.00043 ± 0.00004	0.00040 ± 0.00004	0.00039 ± 0.00003	0.131	NA	NA	NA
CST_L	0.00035 ± 0.00002	0.00033 ± 0.00002	0.00031 ± 0.00001	< 0.001*	0.151	< 0.001**	0.025**
CST_R	0.00034 ± 0.00002	0.00033 ± 0.00002	0.00030 ± 0.00001	< 0.001*	0.171	< 0.001**	0.006**
FCPM	0.00038 ± 0.00004	0.00036 ± 0.00002	0.00034 ± 0.00002	0.010*	0.235	0.008**	0.386
FCPm	0.00041 ± 0.00003	0.00039 ± 0.00003	0.00037 ± 0.00002	0.027*	0.722	0.025**	0.281
IFOF_L†	0.00043 ± 0.00003	0.00041 ± 0.00003	0.00039 ± 0.00002	0.006*	0.254	0.001**	0.044
IFOF_R	0.00043 ± 0.00003	0.00042 ± 0.00002	0.00039 ± 0.00002	0.004*	0.402	0.003**	0.101
ILF_L	0.00042 ± 0.00004	0.00039 ± 0.00002	0.00037 ± 0.00002	0.003*	0.127	0.002**	0.276
ILF_R	0.00044 ± 0.00003	0.00043 ± 0.00002	0.00040 ± 0.00002	0.002*	0.554	0.002**	0.039**
SLF_L	0.00043 ± 0.00004	0.00040 ± 0.00003	0.00038 ± 0.00002	0.003*	0.059	0.001**	0.069
SLF_R	0.00043 ± 0.00003	0.00041 ± 0.00003	0.00039 ± 0.00002	0.002*	0.124	0.001**	0.172
SLFTP_L†	0.00042 ± 0.00004	0.00039 ± 0.00003	0.00037 ± 0.00002	0.007*	0.140	0.001**	0.118
SLFTP_R	0.00042 ± 0.00003	0.00040 ± 0.00002	0.00037 ± 0.00002	0.002*	0.346	0.002**	0.080
UF_L	0.00043 ± 0.00003	0.00042 ± 0.00003	0.00039 ± 0.00002	0.021*	0.859	0.020**	0.189
UF_R	0.00044 ± 0.00003	0.00043 ± 0.00002	0.00041 ± 0.00002	0.013*	0.993	0.013**	0.104

Data are mean values ± standard deviation. ^*p < 0.05 in 3-group comparison, ^**p < 0.05 (parametric tests) or p < 0.017 (nonparametric tests) in post-hoc analysis, †Tested using nonparametric method. ^aP values for comparison among 3 groups, ^bP values for comparison between HAND and HIV-IC groups, ^cP values for comparison between HAND and HC groups, ^dP values comparison between HIV-IC and HC groups. ATR = anterior thalamic radiation, CCG = cingulum (cingulate gyrus), Ch = cingulum (hippocampus), CST = corticospinal tract, DTI = diffusion tensor imaging, FA = fractional anisotropy, FCPM = forceps major, FCPm = forceps minor, HC = healthy controls, IFOF = inferior fronto-occipital fasciculus, ILF = inferior longitudinal fasciculus, L = left, MD = mean diffusivity, R = right, RD = radial diffusivity, ROI = region-of-interest, SLF = superior longitudinal fasciculus, SLFTP = SLF temporal part, UF = uncinate fasciculus

Fig. 4. Bar graph representing mean DTI values in JHU WM tractography-based ROIs that were extracted from TBSS results (MD and RD values were multiplied by 1000 for good visibility).

^*p < 0.05 in trend analyses. ATR = anterior thalamic radiation, CCG = cingulum (cingulate gyrus), Ch = cingulum (hippocampus), CON = healthy controls, CST = corticospinal tract, DTI = diffusion tensor imaging, FCPM = forceps major, FCPm = forceps minor, HIV-IC = HIV-infected patients with intact cognition, IFOF = inferior fronto-occipital fasciculus, ILF = inferior longitudinal fasciculus, JHU = Johns Hopkins University, L = left, R = right, ROI = region-of-interest, SLF = superior longitudinal fasciculus, SLFTP = SLF temporal part, UF = uncinate fasciculus, WM = white matter

Correlation between WM Tract Integrity and Cognitive Function among the HIV Patients

Among the seven NP tests which showed significant differences between the HAND and HIV-IC groups, the K-AVLT total scores and time in seconds required to complete TMT A and B, and the Grooved Pegboard Test showed significant correlation with mean DTI values in tract-specific ROIs showing significant group differences. A lower mean FA value in the right SLF mask was associated with lower performance of TMT A (r = −0.425, p = 0.049) and B (r = −0.455, p = 0.038), the K-AVLT test (r = 0.564, p = 0.006), and the Grooved Pegboard Test (r = −0.475, p = 0.025) (Fig. 5). Among the mean DTI values in the masks showing different trends between the HAND and HIV-IC groups, a higher MD value in the left SLF temporal part was associated with lower performance of TMT A (r = 0.493, p = 0.020).

Fig. 5. Correlation analysis with FA value in right SLF masks and NP test results.

Region in pink represents right SLF mask in JHU WM tractography atlas. Inside this mask, regions that showed significantly decreased FA between HAND and HIV-IC groups on TBSS analysis are marked in red and was used as mask for ROI (A). Mean FA value in this ROI was correlated with NP test results. Correlation results are shown graphically in (B). K-AVLT = Korean version of Auditory Verbal Learning Test, NP = neuropsychological, TMT A = trail making test part A, TMT B = trail making test part B

DISCUSSION

Although the exact pathogenesis of HAND is still unclear, recently published neuroimaging studies have discovered widespread microstructural changes in the brain of HIV-infected patients (9). HIV enters the central nervous system via monocytes and perivascular macrophages very early after seroconversion. The virus then replicates and induces neuronal damage mainly by neuroinflammatory mechanisms triggered by infected microglial cells. The inflammation selectively occurs in the dopamine-rich areas of the brain including the prefrontal cortex and frontostrial network and the resultant neurodegeneration is known to impair cognitive function in HIV-infected patients (2,19,20). In a few studies using magnetic resonance (MR) spectroscopy (21,22) to evaluate cerebral metabolites in the brain in vivo, an increased level of inflammatory metabolites was found in the frontal WM and basal ganglia of HIV-infected patients, consistent with previous pathologic studies (23). In addition to neuroinflammation, products of the inflammatory cascade induce oxidative stress in the brain and cerebrospinal fluid of HIV patients (24). Motor neurons are also regarded as targets of neuropathogenesis induced by HIV and their vulnerability to oxidative stress might be one of the plausible mechanisms underlying the injury (25,26). Therefore, we postulated the incidence of inflammation-induced microstructural alterations mainly in the highly vulnerable frontostrial and frontoparietal areas as well as the motor tracts.

In this study, using TBSS analysis we found a significantly decreased FA in the right frontoparietal WM and right CST and increased MD in the widespread WM of patients in the HAND group compared with the HC group. The extensive change in MD was mainly induced by changes in RD rather than AD, similar to previous studies (27,28,29,30,31,32). RD is known to be related to dys- or demyelination induced by inflammation (33). Therefore, based on previous pathologic studies and MR spectroscopy results, the microstructural changes seen in this study may be, at least in part, attributed to inflammatory demyelination.

The ROI-based analysis showed widespread MD and RD changes already found in the HIV-IC group primarily in the inferior and posterior brain areas as well as the CST compared with the HC group. The HAND group showed additional microstructural alterations in the right frontoparietal WM compared with the HIV-IC group. Our results are in line with previous studies showing cognitively asymptomatic HIV patients carrying microstructural alterations primarily localized in the posterior brain regions and extended abnormalities in the more rostral part of the brain in HAND patients (32). Our results are also in line with studies showing the role of motor cortex in HIV infection regardless of cognitive status, and the association of prefrontal and parietal cortical thinning with cognitive impairment (34,35). Moreover, most DTI values in tract-specific ROIs showed a significant trend in change starting from the HC group to the HAND group, which suggests that this neural microstructural alteration gradually progresses in HIV-infected patients, a finding also in line with a previously published report (36).

The HAND group in this study showed altered integrity in the superior horizontal part of the right SLF, which was correlated with decreased performance in the NP tests evaluating the speed of information processing, learning memory, executive function and fine motor function. The superior horizontal part of the SLF is a large bundle, which connects the superior parietal lobe, the supramarginal gyrus, and the angular gyrus to the ipsilateral frontal cortices (37). Therefore, the SLF mediates the communication and integration of frontal and parietal information and plays an integral role in cognitive function including attention, memory, information processing speed, and language (38). Demyelination of this long fiber may trigger inefficient transmission of neural signals and subsequent cognitive dysfunction (39,40,41). Interestingly, the integrity of SLF was also associated with lower fine motor function in our study. This result is in agreement with previous studies, which suggest that a loss of compensation of the prefrontal cortex lead to decreased fine motor function in HIV patients with HAND (34,42).

In TBSS analysis, unlike MD and RD, significantly decreased FA values were localized in the right SLF and CST, but not in the left hemisphere. In the NP test correlation analyses, a decreased FA in the right SLF was correlated with the cognitive domains. In the additional TBSS analysis with a lower statistical threshold (corrected p < 0.07, data not shown), the laterality of FA was moderated. While we cannot confirm the factors underlying this laterality, we believe that it may be related to the small number of subjects included in each group of our study. In a few studies investigating cognitive impairment in patients with Parkinson's disease, right-sided dopaminergic depletion was shown to play a greater role in the cognitive decline associated with Parkinson's disease (43,44,45). As mentioned above, HIV infection also selectively induces inflammatory changes in dopamine-rich structures, suggesting that the right laterality of the microstructural change might be more prominent in HIV patients with HAND.

There are several limitations in this study. First, the small number of subjects in each group lowered the statistical power of the analysis. Second, the cART regimen was not identical in each patient. Previous studies have suggested that nucleoside reverse transcriptase inhibitors can induce neuronal damage. The study patients were all treated with a diverse combination of nucleoside reverse transcriptase inhibitors and other agents (e.g., protease inhibitors, non-nucleoside reverse transcriptase inhibitors and integrase inhibitors). This variation in treatment regimens may have influenced the results.

In conclusion, HIV patients with HAND showed altered microstructures in the bilateral SLF compared with HIV patients without HAND. Additionally, alteration of the bilateral SLF integrity was associated with decreased cognitive function, suggesting a key role in the development of HAND in HIV patients.

Supplementary materials

The online-only Data Supplement is available with this article at https://doi.org/10.3348/kjr.2018.19.3.431.

Supplementary Fig. 1

20 Johns Hopkins Univeristy white matter tractography atlas. ATR = anterior thalamic radiation, CCG = cingulum (cingulate gyrus), Ch = cingulum (hippocampus), CST = corticospinal tract, FCPM = forceps major, FCPm = forceps minor, IFOF = inferior frontooccipital fasciculus, ILF = inferior longitudinal fasciculus, L = left, R = right, SLF = superior longitudinal fasciculus, SLFTP = SLF temporal part, UF = uncinate fasciculus