Skip to main content

Advertisement

Log in

Cortical brain atrophy and intra-individual variability in neuropsychological test performance in HIV disease

  • Original Research
  • Published:
Brain Imaging and Behavior Aims and scope Submit manuscript

Abstract

To characterize the relationship between dispersion-based intra-individual variability (IIVd) in neuropsychological test performance and brain volume among HIV seropositive and seronegative men and to determine the effects of cardiovascular risk and HIV infection on this relationship. Magnetic Resonance Imaging (MRI) was used to acquire high-resolution neuroanatomic data from 147 men age 50 and over, including 80 HIV seropositive (HIV+) and 67 seronegative controls (HIV-) in this cross-sectional cohort study. Voxel Based Morphometry was used to derive volumetric measurements at the level of the individual voxel. These brain structure maps were analyzed using Statistical Parametric Mapping (SPM2). IIVd was measured by computing intra-individual standard deviations (ISD’s) from the standardized performance scores of five neuropsychological tests: Wechsler Memory Scale-III Visual Reproduction I and II, Logical Memory I and II, Wechsler Adult Intelligence Scale-III Letter Number Sequencing. Total gray matter (GM) volume was inversely associated with IIVd. Among all subjects, IIVd -related GM atrophy was observed primarily in: 1) the inferior frontal gyrus bilaterally, the left inferior temporal gyrus extending to the supramarginal gyrus, spanning the lateral sulcus; 2) the right superior parietal lobule and intraparietal sulcus; and, 3) dorsal/ventral regions of the posterior section of the transverse temporal gyrus. HIV status, biological, and cardiovascular disease (CVD) variables were not linked to IIVd -related GM atrophy. IIVd in neuropsychological test performance may be a sensitive marker of cortical integrity in older adults, regardless of HIV infection status or CVD risk factors, and degree of intra-individual variability links with volume loss in specific cortical regions; independent of mean-level performance on neuropsychological tests.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Allaire, J. C., & Marsiske, M. (2005). Intraindividual variability may not always indicate vulnerability in elders’ cognitive performance. Psychology and Aging, 20(3), 390–401. doi:10.1037/0882-7974.20.3.390.

    Article  PubMed  PubMed Central  Google Scholar 

  • Anstey, K. J., Mack, H. A., Christensen, H., Li, S.-C., Reglade-Meslin, C., Maller, J., et al. (2007). Corpus callosum size, reaction time speed and variability in mild cognitive disorders and in a normative sample. Neuropsychologia, 45(8), 1911–1920. doi:10.1016/j.neuropsychologia.2006.11.020.

    Article  PubMed  Google Scholar 

  • Antinori, A., Arendt, G., Becker, J. T., Brew, B. J., Byrd, D. A., Cherner, M., et al. (2007). Updated research nosology for HIV-associated neurocognitive disorders. Neurology, 69(18), 1789–1799.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry–the methods. NeuroImage, 11(6 Pt 1), 805–821. doi:10.1006/nimg.2000.0582.

    Article  CAS  PubMed  Google Scholar 

  • Becker, J. T., Lopez, O. L., Dew, M. A., & Aizenstein, H. J. (2004). Prevalence of cognitive disorders differs as a function of age in HIV virus infection. [Research Support, U.S. Gov’t, P.H.S.] Aids, 18 Suppl 1, S11–S18.

    Article  PubMed  Google Scholar 

  • Becker, J. T., Kingsley, L., Mullen, J., Cohen, B., Martin, E., Miller, E. N., et al. (2009). Vascular risk factors, HIV serostatus, and cognitive dysfunction in gay and bisexual men. [research support, N.I.H., extramural]. Neurology, 73(16), 1292–1299. doi:10.1212/WNL.0b013e3181bd10e7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Becker, J. T., Sanders, J., Madsen, S. K., Ragin, A., Kingsley, L., Maruca, V., et al. (2011). Subcortical brain atrophy persists even in HAART-regulated HIV disease. Brain Imaging and Behavior, 5(2), 77–85. doi:10.1007/s11682-011-9113-8.

    Article  PubMed  PubMed Central  Google Scholar 

  • Becker, J. T., Bajo, R., Fabrizio, M., Sudre, G., Cuesta, P., Aizenstein, H. J., et al. (2012a). Functional connectivity measured with magnetoencephalography identifies persons with HIV disease. [research support, N.I.H., extramural]. Brain Imaging and Behavior, 6(3), 366–373. doi:10.1007/s11682-012-9149-4.

    Article  PubMed  PubMed Central  Google Scholar 

  • Becker, J. T., Cuesta, P., Fabrizio, M., Sudre, G., Vergis, E., Douaihy, A., et al. (2012b). Brain structural and functional recovery following initiation of combination antiretroviral therapy. Journal of Neurovirology, 18(5), 423–427. doi:10.1007/s13365-012-0115-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Becker, J. T., Maruca, V., Kingsley, L. A., Sanders, J. M., Alger, J. R., Barker, P. B., et al. (2012c). Factors affecting brain structure in men with HIV disease in the post-HAART era. Neuroradiology, 54(2), 113–121. doi:10.1007/s00234-011-0854-2.

    Article  PubMed  Google Scholar 

  • Becker, J. T., Kingsley, L. A., Molsberry, S., Reynolds, S., Aronow, A., Levine, A. J., et al. (2014). Cohort Profile: Recruitment cohorts in the neuropsychological substudy of the Multicenter AIDS Cohort Study. International Journal of Epidemiology, doi:10.1093/ije/dyu092.

  • Bellgrove, M. A., Hester, R., & Garavan, H. (2004). The functional neuroanatomical correlates of response variability: evidence from a response inhibition task. Neuropsychologia, 42(14), 1910–1916. doi:10.1016/j.neuropsychologia.2004.05.007.

    Article  PubMed  Google Scholar 

  • Brew, B. J. (2004). Evidence for a change in AIDS dementia complex in the era of highly active antiretroviral therapy and the possibility of new forms of AIDS dementia complex. [Review]. Aids, 18 Suppl 1, S75-S78.

  • Budka, A. (1991). Neuropathology of human immunodeficiency virus infection. Brain Pathology, 1, 163–175.

    Article  CAS  PubMed  Google Scholar 

  • Bunce, D., Anstey, K., Christensen, H., Dear, K., Wen, W., & Sachdev, P. (2007). White matter hyperintensities and within-person variability in community-dwelling adults aged 60–64 years. Neuropsychologia, 45(9), 2009–2015. doi:10.1016/j.neuropsychologia.2007.02.006.

    Article  PubMed  Google Scholar 

  • Butters, N., Grant, I., Haxby, J., Judd, L. L., Martin, A., McClelland, J., et al. (1990). Assessment of AIDS-related cognitive changes: recommendations of the NIMH workshop on neuropsychological assessment approaches. Journal of Clinical and Experimental Neuropsychology, 12(6), 963–978. doi:10.1080/01688639008401035.

    Article  CAS  PubMed  Google Scholar 

  • Christensen, H., Mackinnon, A. J., Korten, A. E., Jorm, A. F., Henderson, A. S., & Jacomb, P. (1999). Dispersion in cognitive ability as a function of age: a longitudinal study of an elderly community sample. Aging, Neuropsychology, and Cognition (Neuropsychology, Development and Cognition: Section B), 6(3), 214–228. doi:10.1076/anec.6.3.214.779.

    Article  Google Scholar 

  • Cysique, L. A., Maruff, P., & Brew, B. J. (2004). Prevalence and pattern of neuropsychological impairment in human immunodeficiency virus–infected/acquired immunodeficiency syndrome (HIV/AIDS) patients across pre- and post-highly active antiretroviral therapy eras: a combined study of two cohorts clinical report. Journal of Neurovirology, 10(6), 350–357. doi:10.1080/13550280490521078.

    Article  PubMed  Google Scholar 

  • Dawes, S., Suarez, P., Casey, C. Y., Cherner, M., Marcotte, T. D., Letendre, S., et al. (2008). Variable patterns of neuropsychological performance in HIV-1 infection. [research support, N.I.H., extramural]. Journal of Clinical and Experimental Neuropsychology, 30(6), 613–626. doi:10.1080/13803390701565225.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ettenhofer, M. L., Foley, J., Behdin, N., Levine, A. J., Castellon, S. A., & Hinkin, C. H. (2010). Reaction time variability in HIV-positive individuals. Archives of Clinical Neuropsychology, 25(8), 791–798. doi:10.1093/arclin/acq064.

    Article  PubMed  PubMed Central  Google Scholar 

  • Everall, I. P., Hansen, L. A., & Masliah, E. (2005). The shifting patterns of HIV encephalitis neuropathology. Neurotoxicity Research, 8(1–2), 51–61.

    Article  CAS  PubMed  Google Scholar 

  • Fernandez-Duque, D., & Posner, M. I. (2001). Brain imaging of attentional networks in normal and pathological states. Journal of Clinical and Experimental Neuropsychology, 23(1), 74–93. doi:10.1076/jcen.23.1.74.1217.

    Article  CAS  PubMed  Google Scholar 

  • Genovese, C. R., Lazar, N. A., & Nichols, T. (2002). Thresholding of statistical maps in functional neuroimaging using the false discovery rate. [research support, U.S. Gov’t, Non-P.H.S.]. NeuroImage, 15(4), 870–878. doi:10.1006/nimg.2001.1037.

    Article  PubMed  Google Scholar 

  • Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N., Friston, K. J., & Frackowiak, R. S. (2001). A voxel-based morphometric study of ageing in 465 normal adult human brains. [research support, Non-U.S. Gov’t]. NeuroImage, 14(1 Pt 1), 21–36. doi:10.1006/nimg.2001.0786.

    Article  CAS  PubMed  Google Scholar 

  • Heaton, R., Marcotte, T. D., Mindt, M. R., Sadek, J., Moore, D. J., Bentley, H., et al. (2004). The impact of HIV-associated neuropsychological impairment on everyday functioning. Journal of the International Neuropsychological Society : JINS, 10(3), 317–331. doi:10.1017/S1355617704102130.

    Article  PubMed  Google Scholar 

  • Hilborn, J. V., Strauss, E., Hultsch, D. F., & Hunter, M. A. (2009). Intraindividual variability across cognitive domains: investigation of dispersion levels and performance profiles in older adults. Journal of Clinical and Experimental Neuropsychology, 31(4), 412–424. doi:10.1080/13803390802232659.

    Article  PubMed  Google Scholar 

  • Holmes, C. J., Hoge, R., Collins, L., Woods, R., Toga, A. W., & Evans, A. C. (1998). Enhancement of MR images using registration for signal averaging. Journal of Computer Assisted Tomography, 22(2), 324–333.

    Article  CAS  PubMed  Google Scholar 

  • Holtzer, R., Verghese, J., Wang, C., Hall, C. B., & Lipton, R. B. (2008). Within-person across-neuropsychological test variability and incident dementia. JAMA, 300(7), 823–830. doi:10.1001/jama.300.7.823.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hultsch, D. F., MacDonald, S. W., Hunter, M. A., Levy-Bencheton, J., & Strauss, E. (2000). Intraindividual variability in cognitive performance in older adults: comparison of adults with mild dementia, adults with arthritis, and healthy adults. Neuropsychology, 14(4), 588–598.

    Article  CAS  PubMed  Google Scholar 

  • Hultsch, D. F., MacDonald, S. W., & Dixon, R. A. (2002). Variability in reaction time performance of younger and older adults. Journal of Gerontology: Series B Psychological adn Social Sciences, 57(2), P101–P115.

    Article  Google Scholar 

  • Kelly, A. M., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008). Competition between functional brain networks mediates behavioral variability. NeuroImage, 39(1), 527–537. doi:10.1016/j.neuroimage.2007.08.008.

    Article  PubMed  Google Scholar 

  • Kieburtz, K., Ketonen, L., Cox, C., Grossman, H., Holloway, R., Booth, H., et al. (1996). Cognitive performance and regional brain volume in human immunodeficiency virus type 1 infection. Archives of Neurology, 53(2), 155–158.

    Article  CAS  PubMed  Google Scholar 

  • Kingsley, L. A., Cuervo-Rojas, J., Munoz, A., Palella, F. J., Post, W., Witt, M. D., et al. (2008). Subclinical coronary atherosclerosis, HIV infection and antiretroviral therapy: multicenter AIDS cohort study. AIDS, 22(13), 1589–1599.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kuper, M., Rabe, K., Esser, S., Gizewski, E. R., Husstedt, I. W., Maschke, M., et al. (2011). Structural gray and white matter changes in patients with HIV. Journal of Neurology. doi:10.1007/s00415-010-5883-y.

    PubMed  Google Scholar 

  • Letendre, S., Marquie-Beck, J., Capparelli, E., Best, B., Clifford, D., Collier, A. C., et al. (2008). Validation of the CNS penetration-effectiveness rank for quantifying antiretroviral penetration into the central nervous system. Archives of Neurology, 65(1), 65–70, doi:10.1001/archneurol.2007.31.

  • Levine, A. J., Hardy, D. J., Barclay, T. R., Reinhard, M. J., Cole, M. M., & Hinkin, C. H. (2008). Elements of attention in HIV-infected adults: evaluation of an existing model. Journal of Clinical and Experimental Neuropsychology, 30(1), 53–62. doi:10.1080/13803390601186684.

    Article  PubMed  Google Scholar 

  • Lin, J. J., Salamon, N., Dutton, R. A., Lee, A. D., Geaga, J. A., Hayashi, K. M., et al. (2005). Three-dimensional preoperative maps of hippocampal atrophy predict surgical outcomes in temporal lobe epilepsy. Neurology, 65(7), 1094–1097. doi:10.1212/01.wnl.0000179003.95838.71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lindenberger, U., & Baltes, P. B. (1997). Intellectual functioning in old and very old age: cross-sectional results from the berlin aging study. Psychology and Aging, 12(3), 410–432.

    Article  CAS  PubMed  Google Scholar 

  • MacDonald, S. W., Nyberg, L., Sandblom, J., Fischer, H., & Backman, L. (2008). Increased response-time variability is associated with reduced inferior parietal activation during episodic recognition in aging. [research support, Non-U.S. Gov’t]. Journal of Cognitive Neuroscience, 20(5), 779–786. doi:10.1162/jocn.2008.20502.

    Article  PubMed  Google Scholar 

  • MacDonald, S. W., Li, S. C., & Backman, L. (2009). Neural underpinnings of within-person variability in cognitive functioning. Psychology and Aging, 24(4), 792–808. doi:10.1037/a0017798.

    Article  PubMed  Google Scholar 

  • Marcotte, T. D., Wolfson, T., Rosenthal, T. J., Heaton, R. K., Gonzalez, R., Ellis, R. J., et al. (2004). A multimodal assessment of driving performance in HIV infection. Neurology, 63(8), 1417–1422.

    Article  CAS  PubMed  Google Scholar 

  • Martin, M., & Hofer, S. M. (2004). Intraindividual variability, change, and aging: conceptual and analytical issues. Gerontology, 50(1), 7–11. doi:10.1159/000074382.

    Article  PubMed  Google Scholar 

  • Mazerolle, E. L., Wojtowicz, M. A., Omisade, A., & Fisk, J. D. (2013). Intra-individual variability in information processing speed reflects white matter microstructure in multiple sclerosis. NeuroImage. Clinical, 2, 894–902. doi:10.1016/j.nicl.2013.06.012.

    Article  PubMed  PubMed Central  Google Scholar 

  • Miller, E. N., Satz, P., & Visscher, B. (1991). Computerized and conventional neuropsychological assessment of HIV-1-infected homosexual men. [research support, U.S. Gov’t, P.H.S.]. Neurology, 41(10), 1608–1616.

    Article  CAS  PubMed  Google Scholar 

  • Moore, D. J., Masliah, E., Rippeth, J. D., Gonzalez, R., Carey, C. L., Cherner, M., et al. (2006). Cortical and subcortical neurodegeneration is associated with HIV neurocognitive impairment. AIDS, 20(6), 879–887. doi:10.1097/01.aids.0000218552.69834.00.

    Article  PubMed  Google Scholar 

  • Morgan, E. E., Woods, S. P., Delano-Wood, L., Bondi, M. W., & Grant, I. (2011). Intraindividual variability in HIV infection: evidence for greater neurocognitive dispersion in older HIV seropositive adults. [research support, N.I.H., extramural]. Neuropsychology, 25(5), 645–654. doi:10.1037/a0023792.

    Article  PubMed  PubMed Central  Google Scholar 

  • Morgan, E. E., Woods, S. P., & Grant, I. (2012). Intra-individual neurocognitive variability confers risk of dependence in activities of daily living among HIV-seropositive individuals without HIV-associated neurocognitive disorders. [research support, N.I.H., extramural]. Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 27(3), 293–303. doi:10.1093/arclin/acs003.

    Article  Google Scholar 

  • Murtha, S., Cismaru, R., Waechter, R., & Chertkow, H. (2002). Increased variability accompanies frontal lobe damage in dementia. Journal of the International Neuropsychological Society, 8(3), 360–372.

    Article  PubMed  Google Scholar 

  • Navia, B. A., Cho, E. S., Petito, C. K., & Price, R. W. (1986). The AIDS dementia complex: II. Neuropathology. Annals of Neurology, 19(6), 525–535. doi:10.1002/ana.410190603.

    Article  CAS  PubMed  Google Scholar 

  • Osowiecki, D. M., Cohen, R. A., Morrow, K. M., Paul, R. H., Carpenter, C. C., Flanigan, T., et al. (2000). Neurocognitive and psychological contributions to quality of life in HIV-1-infected women. AIDS, 14(10), 1327–1332.

    Article  CAS  PubMed  Google Scholar 

  • Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of Neuroscience, 13, 25–42. doi:10.1146/annurev.ne.13.030190.000325.

    Article  CAS  PubMed  Google Scholar 

  • Radloff, L. S. (1977). The CES-D scale. A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. doi:10.1177/014662167700100306.

    Article  Google Scholar 

  • Rapp, M. A., Schnaider-Beeri, M., Sano, M., Silverman, J. M., & Haroutunian, V. (2005). Cross-domain variability of cognitive performance in very old nursing home residents and community dwellers: relationship to functional status. Gerontology, 51(3), 206–212. doi:10.1159/000083995.

    Article  PubMed  Google Scholar 

  • Ratcliff, R. (1979). Group reaction time distributions and an analysis of distribution statistics. Psychological Bulletin, 86(3), 446–461.

    Article  CAS  PubMed  Google Scholar 

  • Sacktor, N., Lyles, R. H., Skolasky, R. L., Anderson, D. E., McArthur, J. C., McFarlane, G., et al. (1999). Combination antiretroviral therapy improves psychomotor speed performance in HIV-seropositive homosexual men. Multicenter AIDS cohort study (MACS). [clinical trial, multicenter study, research support, U.S. Gov’t, P.H.S.]. Neurology, 52(8), 1640–1647.

    Article  CAS  PubMed  Google Scholar 

  • Sacktor, N., Tarwater, P. M., Skolasky, R. L., McArthur, J. C., Selnes, O. A., Becker, J., et al. (2001). CSF antiretroviral drug penetrance and the treatment of HIV-associated psychomotor slowing. [research support, U.S. Gov’t, P.H.S.]. Neurology, 57(3), 542–544.

    Article  CAS  PubMed  Google Scholar 

  • Schmiedek, F., Lovden, M., & Lindenberger, U. (2009). On the relation of mean reaction time and intraindividual reaction time variability. Psychology and Aging, 24(4), 841–857. doi:10.1037/a0017799.

    Article  PubMed  Google Scholar 

  • Schretlen, D. J., Munro, C. A., Anthony, J. C., & Pearlson, G. D. (2003). Examining the range of normal intraindividual variability in neuropsychological test performance. Journal of the International Neuropsychological Society, 9(6), 864–870. doi:10.1017/S1355617703960061.

    Article  PubMed  Google Scholar 

  • Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998). A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Transactions on Medical Imaging, 17(1), 87–97. doi:10.1109/42.668698.

    Article  CAS  PubMed  Google Scholar 

  • Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003). Mapping cortical change across the human life span. Nature Neuroscience, 6(3), 309–315. doi:10.1038/nn1008.

    Article  CAS  PubMed  Google Scholar 

  • Stuss, D. T., Murphy, K. J., Binns, M. A., & Alexander, M. P. (2003). Staying on the job: the frontal lobes control individual performance variability. Brain, 126(Pt 11), 2363–2380. doi:10.1093/brain/awg237.

    Article  PubMed  Google Scholar 

  • Thaler, N. S., Sayegh, P., Arentoft, A., Thames, A. D., Castellon, S. A., & Hinkin, C. H. (2015). Increased neurocognitive intra-individual variability is associated with declines in medication adherence in HIV-infected adults. Neuropsychology. doi:10.1037/neu0000191.

    Google Scholar 

  • Thompson, P. M., Schwartz, C., & Toga, A. W. (1996). High-resolution random mesh algorithms for creating a probabilistic 3D surface atlas of the human brain. NeuroImage, 3(1), 19–34. doi:10.1006/nimg.1996.0003.

    Article  CAS  PubMed  Google Scholar 

  • Thompson, P. M., Dutton, R. A., Hayashi, K. M., Toga, A. W., Lopez, O. L., Aizenstein, H. J., et al. (2005). Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+ T lymphocyte decline. Proceedings of the National Academy of Sciences of the United States of America, 102(43), 15647–15652. doi:10.1073/pnas.0502548102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wechsler, D. (1987). WMS-R : Wechsler Memory Scale–Revised : manual. San Antonio: Psychological Corp. : Harcourt Brace Jovanovich

  • Wechsler, D. (1997). Wechsler Adult Intelligence Scale—3rd Edition (WAIS-3®). San Antonio, TX:Harcourt Assessment.

    Google Scholar 

  • West, R., Murphy, K. J., Armilio, M. L., Craik, F. I., & Stuss, D. T. (2002). Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain and Cognition, 49(3), 402–419.

    Article  PubMed  Google Scholar 

  • Wetter, S. R., Delis, D. C., Houston, W. S., Jacobson, M. W., Lansing, A., Cobell, K., et al. (2006). Heterogeneity in verbal memory: a marker of preclinical alzheimer’s disease? Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition, 13(3–4), 503–515. doi:10.1080/138255890969492.

    Article  Google Scholar 

  • Woods, S. P., Morgan, E. E., Dawson, M., Cobb Scott, J., Grant, I., & Group, H. I. V. N. R. C. (2006). Action (verb) fluency predicts dependence in instrumental activities of daily living in persons infected with HIV-1. Journal of Clinical and Experimental Neuropsychology, 28(6), 1030–1042. doi:10.1080/13803390500350985.

    Article  Google Scholar 

  • Zamrini, E., Maestu, F., Pekkonen, E., Funke, M., Makela, J., Riley, M., et al. (2011). Magnetoencephalography as a putative biomarker for alzheimer’s disease. International journal of Alzheimer’s disease, 2011, 280289. doi:10.4061/2011/280289.

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the volunteers and the staff of the Multicenter AIDS Cohort Study for the time and effort that they contributed towards the successful completion of this project.

Compliance with ethical standards

Funding

Data in this manuscript were collected by the Multicenter AIDS Cohort Study (MACS) with centers at Baltimore (U01-AI35042): The Johns Hopkins University Bloomberg School of Public Health: Joseph B. Margolick (PI), Barbara Crain, Adrian Dobs, Homayoon Farzadegan, Joel Gallant, Lisette Johnson-Hill, Cynthia Munro, Michael W. Plankey, Ned Sacktor, James Shepard, Chloe Thio; Chicago (U01-AI35039): Feinberg School of Medicine, Northwestern University, and Cook County Bureau of Health Services: Steven M. Wolinsky (PI), John P. Phair, Sheila Badri, Maurice O’Gorman, David Ostrow, Frank Palella, Ann Ragin; Los Angeles (U01-AI35040): University of California, UCLA Schools of Public Health and Medicine: Roger Detels (PI), Otoniel Martínez-Maza (Co-PI), Aaron Aronow, Robert Bolan, Elizabeth Breen, Anthony Butch, Beth Jamieson, Eric N. Miller, John Oishi, Harry Vinters, Dorothy Wiley, Mallory Witt, Otto Yang, Stephen Young, Zuo Feng Zhang; Pittsburgh (U01-AI35041): University of Pittsburgh, Graduate School of Public Health: Charles R. Rinaldo (PI), Lawrence A. Kingsley (Co-PI), James T. Becker, Ross D. Cranston, Jeremy J. Martinson, John W. Mellors, Anthony J. Silvestre, Ronald D. Stall; and the Data Coordinating Center (UM1-AI35043): The Johns Hopkins University Bloomberg School of Public Health: Lisa P. Jacobson (PI), Alvaro Munoz (Co-PI), Alison, Abraham, Keri Althoff, Christopher Cox, Jennifer Deal, Gypsyamber D’Souza, Priya Duggal, Janet Schollenberger, Eric C. Seaberg, Sol Su, Pamela Surkan. The MACS is funded primarily by the National Institute of Allergy and Infectious Diseases (NIAID), with additional co-funding from the National Cancer Institute (NCI). Targeted supplemental funding for specific projects was also provided by the National Heart, Lung, and Blood Institute (NHLBI), and the National Institute on Deafness and Communication Disorders (NIDCD). MACS data collection is also supported by UL1-TR000424 (JHU CTSA). Website located at http://www.statepi.jhsph.edu/macs/macs.html. The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health (NIH).

Additional grant funding

Additional funding for this work was provided by the UCLA CFAR grant 5P30 AI028697, T32-MH019535, from the Department of Veteran Affairs (VA Merit Review), and from the National Institute on Aging (AG034852 to JTB).

Conflict of interest

All authors have declared that he or she has no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Data analysis

The data were analyzed by L.J. Hines, J.T. Becker and V. Maruca, with assistance from J. Sanders.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Lindsay J. Hines.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hines, L.J., Miller, E.N., Hinkin, C.H. et al. Cortical brain atrophy and intra-individual variability in neuropsychological test performance in HIV disease. Brain Imaging and Behavior 10, 640–651 (2016). https://doi.org/10.1007/s11682-015-9441-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11682-015-9441-1

Keywords

Navigation