Bibliography
.
Zika Virus. In: Global Virology I. Identifying and investigating viral diseases. Global Virology I. Identifying and investigating viral diseases. New York: Springer Publ.; 2015. pp. 477-500.
. XMRV: Emerging human infection or false alarm in Global Virology I. Identifying and investigating viral diseases. In: Global Virology I. Identifying and investigating viral diseases. Global Virology I. Identifying and investigating viral diseases. New York: Springer Publ.; 2015. pp. 561-574.
. Wnt signaling in the pathogenesis of human HIV-associated pain syndromes. Journal of neuroimmune pharmacology: the official journal of the Society on NeuroImmune Pharmacology [Internet]. 2013 ;8(4):956-64. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23737037
. Whole transcriptome sequencing enables discovery and analysis of viruses in archived primary central nervous system lymphomas. PLoS One. 2013 ;8(9):e73956.
. White matter tract injury and cognitive impairment in human immunodeficiency virus-infected individuals. J Neurovirol. 2009 ;15(2):187-95.
White matter damage, neuroinflammation, and neuronal integrity in HAND. J Neurovirol. 2019 ;25(1):32-41.
White Matter Abnormalities Linked to Interferon, Stress Response, and Energy Metabolism Gene Expression Changes in Older HIV-Positive Patients on Antiretroviral Therapy. Mol Neurobiol. 2020 ;57(2):1115-1130.
. When do models of NeuroAIDS faithfully imitate "the real thing"?. J Neurovirol. 2018 ;24(2):146-155.
. West Nile Virus in Global Virology I. Identifying and investigating viral diseases. In: Global Virology I. Identifying and investigating viral diseases. Global Virology I. Identifying and investigating viral diseases. New York: Springer Publ.; 2015.
. Weighted gene co-expression network analysis of NeuroAIDS cognitive disorders. In: Summit on Systems Biology. Summit on Systems Biology. Richmond, VA; 2011.
. Vulnerabilities and caregiving in an ethnically diverse HIV-infected population. AIDS and Behavior [Internet]. 2009 ;13:337-347. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17876698
. Viral and host determinants of neurovirulence of HIV-1 infection. Adv Exp Med Biol. 1998 ;437:241-53.
The Veterans Aging Cohort Study (VACS) Index and Neurocognitive Change: A Longitudinal Study. Clin Infect Dis. 2016 ;63(5):694-702.
. The veterans aging cohort study index is associated with concurrent risk for neurocognitive impairment. J Acquir Immune Defic Syndr. 2014 ;65(2):190-7.
. Vascular injury markers associated with cognitive impairment in people with HIV on suppressive antiretroviral therapy. AIDS. 2023 ;37(14):2137-2147.
. Variable patterns of neuropsychological performance in HIV-1 infection. Journal of Clinical and Experimental Neuropsychology [Internet]. 2008 ;30:613-26. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18608689
. Value of neurocognitive status in predicting HIV-related brain disease. In: Journal of the International Neuropsychological Society. Vol. 7. Journal of the International Neuropsychological Society. ; 2001. p. 150.
. Validation of the CNS Penetration-Effectiveness rank for quantifying antiretroviral penetration into the central nervous system. Arch Neurol. 2008 ;65(1):65-70.
Validation of post-mortem CSF viral load by comparison to ante-mortem viral load and clinical measurements. In: Journal of NeuroVirology. Vol. 9. Journal of NeuroVirology. ; 2003. p. 130.
. Vagal dysfunction and small intestinal bacterial overgrowth: novel pathways to chronic inflammation in HIV. AIDS. 2018 ;32(9):1147-1156.
The utility of olfactory function in distinguishing early-stage Alzheimer's disease from HIV-associated neurocognitive disorders. AIDS. 2021 ;35(3):429-437.
. The utility of norms based on education versus reading ability in the prediction of functional impairment in HIV-infection. In: Journal of the International Neuropsychology Society. Vol. 10. Journal of the International Neuropsychology Society. ; 2004. p. 196.
. The utility and limitations of the HIV Dementia Scale. In: Journal of the International Neuropsychological Society. Vol. 8. Journal of the International Neuropsychological Society. ; 2001. p. 160.
. Using neuronal extracellular vesicles and machine learning to predict cognitive deficits in HIV. J Neurovirol. 2020 ;26(6):880-887.
.