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European Radiology
Published in: European Radiology 10/2017

01-10-2017 | Magnetic Resonance

Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data

Authors: Zhenchao Tang, Zhenyu Liu, Ruili Li, Xin Yang, Xingwei Cui, Shuo Wang, Dongdong Yu, Hongjun Li, Enqing Dong, Jie Tian

Published in: European Radiology | Issue 10/2017

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Abstract

Objective

To identify the white matter (WM) impairments of the antiretroviral therapy (ART)-naïve HIV patients by conducting a multivariate pattern analysis (MVPA) of Diffusion Tensor Imaging (DTI) data

Methods

We enrolled 33 ART-naïve HIV patients and 32 Normal controls in the current study. Firstly, the DTI metrics in whole brain WM tracts were extracted for each subject and feed into the Least Absolute Shrinkage and Selection Operators procedure (LASSO)-Logistic regression model to identify the impaired WM tracts. Then, Support Vector Machines (SVM) model was constructed based on the DTI metrics in the impaired WM tracts to make HIV-control group classification. Pearson correlations between the WM impairments and HIV clinical statics were also investigated.

Results

Extensive HIV-related impairments were observed in the WM tracts associated with motor function, the corpus callosum (CC) and the frontal WM. With leave-one-out cross validation, accuracy of 83.08% (P=0.002) and the area under the Receiver Operating Characteristic curve of 0.9110 were obtained in the SVM classification model. The impairments of the CC were significantly correlated with the HIV clinic statics.

Conclusion

The MVPA was sensitive to detect the HIV-related WM changes. Our findings indicated that the MVPA had considerable potential in exploring the HIV-related WM impairments.

Key points

• WM impairments along motor pathway were detected among the ART-naïve HIV patients
• Prominent HIV-related WM impairments were observed in CC and frontal WM
• The impairments of CC were significantly related to the HIV clinic statics
• The CC might be susceptible to immune dysfunction and HIV replication
• Multivariate pattern analysis had potential for studying the HIV-related white matter impairments
Appendix
Available only for authorised users
Literature
1.
Ellis R, Langford D, Masliah E (2007) HIV and antiretroviral therapy in the brain: neuronal injury and repair. Nat Rev Neurosci 8:33–44CrossRefPubMed
2.
Vassallo M, Durant J, Biscay V et al (2014) Can high central nervous system penetrating antiretroviral regimens protect against the onset of HIV-associated neurocognitive disorders? Aids 28:493–501CrossRefPubMed
3.
4.
5.
6.
7.
8.
9.
Wright PW, Heaps JM, Shimony JS, Thomas JB, Ances BM (2012) The effects of HIV and combination antiretroviral therapy on white matter integrity. Aids 26:1501–1508CrossRefPubMedPubMedCentral
10.
Pfefferbaum A, Rosenbloom MJ, Adalsteinsson E, Sullivan EV (2007) Diffusion tensor imaging with quantitative fibre tracking in HIV infection and alcoholism comorbidity: synergistic white matter damage. Brain 130:48–64CrossRefPubMed
11.
Pfefferbaum A, Rosenbloom MJ, Rohlfing T, Kemper CA, Deresinski S, Sullivan EV (2009) Frontostriatal fiber bundle compromise in HIV infection without dementia. Aids 23:1977–1985CrossRefPubMedPubMedCentral
12.
Chen Y, An H, Zhu H et al (2009) White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients. Neuroimage 47:1154–1162CrossRefPubMedPubMedCentral
13.
Wang B, Liu Z, Liu J, Tang Z, Li H, Tian J (2016) Gray and white matter alterations in early HIV-infected patients: Combined voxel-based morphometry and tract-based spatial statistics. J Magn Reson Imaging 43:1474–1483CrossRefPubMed
14.
15.
Hoare J, Fouche JP, Phillips N et al (2015) White matter micro-structural changes in ART-naive and ART-treated children and adolescents infected with HIV in South Africa. Aids 29:1793–1801CrossRefPubMed
16.
Correa DG, Zimmermann N, Doring TM et al (2015) Diffusion tensor MR imaging of white matter integrity in HIV-positive patients with planning deficit. Neuroradiology 57:475–482CrossRefPubMed
17.
Tran LT, Roos A, Fouche JP et al (2016) White Matter Microstructural Integrity and Neurobehavioral Outcome of HIV-Exposed Uninfected Neonates. Medicine (Baltimore) 95, e2577CrossRef
18.
Ackermann C, Andronikou S, Saleh M et al (2016) Early Antiretroviral Therapy in HIV-Infected Children Is Associated with Diffuse White Matter Structural Abnormality and Corpus Callosum Sparing. Am J Neuroradiol
19.
20.
Hu X, Liu Q, Li B et al (2016) Multivariate pattern analysis of obsessive–compulsive disorder using structural neuroanatomy. Eur Neuropsychopharmacol 26:246–254CrossRefPubMed
21.
Bertocci MA, Bebko G, Versace A et al (2016) Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth. Mol Psychiatry 21:1194–1201CrossRefPubMedPubMedCentral
22.
Li F, Huang X, Tang W et al (2014) Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive-compulsive disorder. Hum Brain Mapp 35:2643–2651CrossRefPubMed
23.
24.
Kamagata K, Hatano T, Okuzumi A et al (2016) Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease. Eur Radiol 26:2567–2577CrossRefPubMed
25.
Uban KA, Herting MM, Williams PL et al (2015) White matter microstructure among youth with perinatally acquired HIV is associated with disease severity. Aids 29:1035–1044CrossRefPubMedPubMedCentral
26.
Nir TM, Jahanshad N, Busovaca E et al (2014) Mapping white matter integrity in elderly people with HIV. Hum Brain Mapp 35:975–992CrossRefPubMed
27.
Tibshirani R (1996) Regression shrinkage and selection via the Lasso. J R Stat Soc Ser B Methodol 58:267–288
28.
Bunea F, She Y, Ombao H, Gongvatana A, Devlin K, Cohen R (2011) Penalized least squares regression methods and applications to neuroimaging. Neuroimage 55:1519–1527CrossRefPubMed
29.
Shah A, Gangwani MR, Chaudhari NS, Glazyrin A, Bhat HK, Kumar A (2016) Neurotoxicity in the Post-HAART Era: Caution for the Antiretroviral Therapeutics. Neurotox Res 30:677–697CrossRefPubMed
30.
Fang P, An J, Zeng LL et al (2015) Multivariate pattern analysis reveals anatomical connectivity differences between the left and right mesial temporal lobe epilepsy. Neuroimage Clin 7:555–561CrossRefPubMedPubMedCentral
31.
Grana M, Termenon M, Savio A et al (2011) Computer aided diagnosis system for Alzheimer disease using brain diffusion tensor imaging features selected by Pearson's correlation. Neurosci Lett 502:225–229CrossRefPubMed
32.
33.
Smith SM, Jenkinson M, Woolrich MW et al (2004) Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23:S208–S219CrossRefPubMed
34.
35.
Woolrich MW, Jbabdi S, Patenaude B et al (2009) Bayesian analysis of neuroimaging data in FSL. Neuroimage 45:S173–S186CrossRefPubMed
36.
Cui Z, Zhong S, Xu P, He Y, Gong G (2013) PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci 7:42PubMedPubMedCentral
37.
Tang Z, Dong E, Liu J et al (2016) Longitudinal assessment of fractional anisotropy alterations caused by simian immunodeficiency virus infection: a preliminary diffusion tensor imaging study. J Neurovirol 22:231–239CrossRefPubMed
38.
39.
Ryu CW, Park MS, Byun JY, Jahng GH, Park S (2016) White matter integrity associated with clinical symptoms in tinnitus patients: A tract-based spatial statistics study. Eur Radiol 26:2223–2232CrossRefPubMed
40.
Wilting J, Rolfsnes HO, Zimmermann H et al (2016) Structural correlates for fatigue in early relapsing remitting multiple sclerosis. Eur Radiol 26:515–523CrossRefPubMed
41.
42.
Ojala M, Garriga GC (2010) Permutation Tests for Studying Classifier Performance. J Mach Learn Res 11:1833–1863
43.
Tian L, Ma L, Wang L (2016) Alterations of functional connectivities from early to middle adulthood: Clues from multivariate pattern analysis of resting-state fMRI data. Neuroimage 129:389–400CrossRefPubMed
44.
Zeng LL, Shen H, Liu L et al (2012) Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain 135:1498–1507CrossRefPubMed
45.
Bernard C, Dilharreguy B, Allard M et al (2013) Muscular weakness in individuals with HIV associated with a disorganization of the cortico-spinal tract: a multi-modal MRI investigation. Plos One 8, e66810CrossRefPubMedPubMedCentral
46.
DeVaughn S, Muller-Oehring EM, Markey B, Bronte-Stewart HM, Schulte T (2015) Aging with HIV-1 Infection: Motor Functions, Cognition, and Attention--A Comparison with Parkinson's Disease. Neuropsychol Rev 25:424–438CrossRefPubMedPubMedCentral
47.
Wilson TW, Heinrichs-Graham E, Robertson KR et al (2013) Functional brain abnormalities during finger-tapping in HIV-infected older adults: a magnetoencephalography study. J Neuroimmune Pharmacol 8:965–974CrossRefPubMed
48.
Tang VM, Lang DJ, Giesbrecht CJ et al (2015) White matter deficits assessed by diffusion tensor imaging and cognitive dysfunction in psychostimulant users with comorbid human immunodeficiency virus infection. BMC Res Notes 8:515CrossRefPubMedPubMedCentral
49.
Zhu T, Zhong J, Hu R et al (2013) Patterns of white matter injury in HIV infection after partial immune reconstitution: a DTI tract-based spatial statistics study. J Neurovirol 19:10–23CrossRefPubMed
50.
Stubbe-Drger B, Deppe M, Mohammadi S et al (2012) Early microstructural white matter changes in patients with HIV: a diffusion tensor imaging study. BMC Neurol 12:23CrossRefPubMedPubMedCentral
51.
Heaps-Woodruff JM, Wright PW, Ances BM, Clifford D, Paul RH (2016) The impact of human immune deficiency virus and hepatitis C coinfection on white matter microstructural integrity. J Neurovirol 22:389–399CrossRefPubMed
52.
Kelly SG, Taiwo BO, Wu Y et al (2014) Early suppressive antiretroviral therapy in HIV infection is associated with measurable changes in the corpus callosum. J Neurovirol 20:514–520CrossRefPubMedPubMedCentral
53.
Leite SC, Correa DG, Doring TM et al (2013) Diffusion tensor MRI evaluation of the corona radiata, cingulate gyri, and corpus callosum in HIV patients. J Magn Reson Imaging 38:1488–1493CrossRefPubMed
54.
Kamat R, Brown GG, Bolden K et al (2014) Apathy is associated with white matter abnormalities in anterior, medial brain regions in persons with HIV infection. J Clin Exp Neuropsychol 36:854–866CrossRefPubMedPubMedCentral
55.
Hoare J, Fouche JP, Phillips N et al (2015) Clinical associations of white matter damage in cART-treated HIV-positive children in South Africa. J Neurovirol 21:120–128CrossRefPubMed
56.
Sousa AE, Carneiro J, Meier-Schellersheim M, Grossman Z, Victorino RMM (2002) CD4 T cell depletion is linked directly to immune activation in the pathogenesis of HIV-1 and HIV-2 but only indirectly to the viral load. J Immunol 169:3400–3406CrossRefPubMed
57.
Sainz T, Serrano-Villar S, Diaz L et al (2013) The CD4/CD8 ratio as a marker T-cell activation, senescence and activation/exhaustion in treated HIV-infected children and young adults. Aids 27:1513–1516CrossRefPubMed
58.
Sun SW, Liang HF, Trinkaus K, Cross AH, Armstrong RC, Song SK (2006) Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum. Magn Reson Med 55:302–308CrossRefPubMed
Metadata
Title
Identifying the white matter impairments among ART-naïve HIV patients: a multivariate pattern analysis of DTI data
Authors
Zhenchao Tang
Zhenyu Liu
Ruili Li
Xin Yang
Xingwei Cui
Shuo Wang
Dongdong Yu
Hongjun Li
Enqing Dong
Jie Tian
Publication date
01-10-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4820-1

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