Journal of NeuroVirology

, Volume 23, Issue 6, pp 875–885 | Cite as

Resting-state functional magnetic resonance imaging in clade C HIV: within-group association with neurocognitive function

  • Lindie du Plessis
  • Robert H. Paul
  • Jackie Hoare
  • Dan J. Stein
  • Paul A. Taylor
  • Ernesta M. Meintjes
  • John A. Joska
Article

Abstract

Neuroimaging abnormalities are common in chronically infected HIV-positive individuals. The majority of studies have focused on structural or functional brain outcomes in samples infected with clade B HIV. While preliminary work reveals a similar structural imaging phenotype in patients infected with clade C HIV, no study has examined functional connectivity (FC) using resting-state functional magnetic resonance imaging (rs-fMRI) in clade C HIV. In particular, we were interested to explore HIV-only effects on neurocognitive function using associations with rs-fMRI. In the present study, 56 treatment-naïve, clade C HIV-infected participants (age 32.27 ± 5.53 years, education 10.02 ± 1.72 years, 46 female) underwent rs-fMRI and cognitive testing. Individual resting-state networks were correlated with global deficit scores (GDS) in order to explore associations between them within an HIV-positive sample. Results revealed ten regions in six resting-state networks where FC inversely correlated with GDS scores (worse performance). The networks affected included three independent attention networks: the default mode network (DMN), sensorimotor network, and basal ganglia. Connectivity in these regions did not correlate with plasma viral load or CD4 cell count. The design of this study is unique and has not been previously reported in clade B. The abnormalities related to neurocognitive performance reported in this study of clade C may reflect late disease stage and/or unique host/viral dynamics. Longitudinal studies will help to clarify the clinical significance of resting-state alterations in clade C HIV.

Keywords

Human immunodeficiency virus (HIV) Neurocognitive deficits Resting-state functional magnetic resonance imaging Resting-state functional connectivity (RSFC) Global deficit scores (GDS) 

Notes

Acknowledgements

The authors would like to thank the National Institute of Mental Health for supporting this research. We also want to acknowledge the South African Research Chairs Initiative of the Department of Science and Technology, National Research Foundation of South Africa, National Institute of Health, Medical Research Council of South Africa, and NIMH and NINDS Intramural Research Programs of the NIH for further partial support.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Journal of NeuroVirology, Inc. 2017

Authors and Affiliations

  1. 1.MRC/UCT Medical Imaging Research UnitUniversity of Cape TownCape TownSouth Africa
  2. 2.Department of Human BiologyUniversity of Cape TownCape TownSouth Africa
  3. 3.Missouri Institute of Mental HealthUniversity of MissouriColumbiaUSA
  4. 4.Department of PsychiatryUniversity of Cape TownCape TownSouth Africa
  5. 5.MRC Unit on Risk & Resilience in Mental DisordersCape TownSouth Africa
  6. 6.African Institute for Mathematical SciencesCape TownSouth Africa
  7. 7.Scientific and Statistical Computing CoreNational Institutes of HealthBethesdaUSA
  8. 8.HIV Mental Health Research Unit, Division of NeuropsychiatryUniversity of Cape TownCape TownSouth Africa

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