Elsevier

Neurobiology of Aging

Volume 34, Issue 4, April 2013, Pages 1240-1253
Neurobiology of Aging

Regular article
Lower cognitive reserve in the aging human immunodeficiency virus-infected brain

https://doi.org/10.1016/j.neurobiolaging.2012.10.012Get rights and content

Abstract

More HIV-infected individuals are living longer; however, how their brain function is affected by aging is not well understood. One hundred twenty-two men (56 seronegative control [SN] subjects, 37 HIV subjects with normal cognition [HIV+NC], 29 with HIV-associated neurocognitive disorder [HAND]) performed neuropsychological tests and had acceptable functional magnetic resonance imaging scans at 3 Tesla during tasks with increasing attentional load. With older age, SN and HIV+NC subjects showed increased activation in the left posterior (reserve, “bottom-up”) attention network for low attentional-load tasks, and further increased activation in the left posterior and anterior (“top-down”) attention network on intermediate (HIV+NC only) and high attentional-load tasks. HAND subjects had only age-dependent decreases in activation. Age-dependent changes in brain activation differed between the 3 groups, primarily in the left frontal regions (despite similar brain atrophy). HIV and aging act synergistically or interactively to exacerbate brain activation abnormalities in different brain regions, suggestive of a neuroadaptive mechanism in the attention network to compensate for declined neural efficiency. While the SN and HIV+NC subjects compensated for their declining attention with age by using reserve and “top-down” attentional networks, older HAND subjects were unable to compensate which resulted in cognitive decline.

Introduction

HIV-infected individuals are living longer because of effective combination antiretroviral therapy (cART); hence, half of the HIV-infected population in the United States will be older than 50 years by 2015 (Kirk and Goetz, 2009). Chronic HIV infection is associated with neuroinflammation, glial activation, and neuronal apoptosis (Gray et al., 2001; Kaul et al., 2001), which might lead to HIV-associated neurocognitive disorders (HAND) (Antinori et al., 2007). Despite viral suppression with cART, HIV patients continue to show ongoing neuroinflammation, with increased diffusivity on diffusion tensor imaging over time (Chang et al., 2008b).

With cART, HIV-associated dementia decreased from 7% to 1%, but the milder forms of HAND, including asymptomatic neurocognitive impairment and mild neurocognitive disorder, remain common—up to 50% (Heaton et al., 2011; McArthur et al., 2010). HAND subjects show deficits in attention, executive function, fluency, learning, memory, and slower psychomotor or motor speed (Heaton et al., 2011). Similarly, normal brain aging is associated with glial activation (Terry et al., 1987) and decline in the same cognitive domains (Goh et al., 2012; Mazaux et al., 1995). These cognitive changes might be related partly to decline in dopaminergic function that occurs with HIV-infection (Berger et al., 1994, 2000; Chang et al., 2008a) and aging (Volkow et al., 1996, 1998; Wang et al., 2004). In addition, structural brain changes occur with normal aging throughout the brain, but HIV-infected individuals showed either premature or accelerated age-related brain atrophy particularly in the subcortical brain regions, although the brain regions affected by aging and HIV-infection might be distinct (Holt et al., 2012). These structural brain changes might contribute to cognitive deficits in HIV subjects. Therefore, aging might lead to additional or exacerbated cognitive deficits in HIV-infected subjects.

HIV patients with normal cognition (HIV+NC) or mild dementia showed hypoactivation of the normal attention network but increased usage of reserve brain regions (adjacent or contralateral to the normal network) during attention-requiring tasks, such as those that require working memory (Chang et al., 2001; Ernst et al., 2002; Melrose et al., 2008), tracking moving targets (Chang et al., 2004b; Ernst et al., 2009), mental rotation (Schweinsburg et al., 2012), and even for memory encoding (Castelo et al., 2006). However, despite stable cART, HIV+NC subjects showed further increased brain activation during visual attention over 1 year, suggesting increased usage of brain reserve (Ernst et al., 2009). HIV patients also showed lower than normal resting cerebral blood flow across the age span (Ances et al., 2010), slower than normal return to baseline hemodynamic response function (HRF) (Juengst et al., 2007), and lesser functional connectivity between the striatal and frontal regions (Melrose et al., 2008).

Changes in brain activation also occur with normal aging. For example, older age is associated with increased hippocampal activation (Adler et al., 2001; Laurienti et al., 2002) and decreased parietal and prefrontal activation (Grossman et al., 2002; Rypma and D'Esposito 2000) during working memory tasks. However, older subjects who performed better on a category learning task had greater parietal activation (Fera et al., 2005). In addition, greater hippocampal atrophy was associated with greater activation of the right prefrontal cortex (Persson et al., 2006). Furthermore, age-related decline in cognitive abilities might result in dedifferentiation, difficulty in recruiting specialized cognitive networks leading to activation of nonspecific neuronal resources (Li and Lindenberger 1999; Voss et al., 2008), or compensation and recruitment of additional cognitive reserves to counteract cognitive decline (Cabeza et al., 2002). This is further demonstrated by the findings that only older adults with higher performance show evidence of compensation, and those with lower performance show no evidence of compensation and inefficient use of recruited networks (Cabeza et al., 2002). Therefore, these variable brain activation changes associated with normal aging might also be seen in the aging HIV-infected individuals.

Whether age and HIV interact on brain activation during attention-requiring tasks is unknown, and was evaluated in this study. To assess how the normal aging brain or the HIV-infected aging brain might differ in terms of their cognitive reserve capacity, we employed a well validated visual attention tasks with increasing task difficulty or attentional load (tracking 2 balls, 3 balls, and 4 balls). These tasks require both bottom-up visual attention (primarily in the inferior parietal regions, to detect the balls which are salient stimuli), as well as top-down control attention (in the dorsal parietal and prefrontal regions, to track the moving balls) (Jovicich et al., 2001). Previous studies showed that HIV-infected subjects showed greater load-dependent activation of the top-down attention network than seronegative (SN) healthy control subjects (Chang et al., 2004b). Based on the aforementioned studies, we hypothesized that, compared with SN subjects, HIV+NC subjects would show greater than normal age-dependent increases in activation of the reserve bottom-up network (parietal regions) on the simpler task, and additional increased activation of the top-down network (dorsal parietal and prefrontal regions) with increasing attentional load, whereas subjects with HAND would be unable to compensate, especially with higher attentional load, and show steeper age-dependent decreases in activation in both attention networks (prefrontal and parietal regions).

Section snippets

Research participants

A group of 128 men fulfilling study criteria completed the protocol after signing a written consent form approved by our institution. Only men were studied because brain activation on attention tasks varies with sex (Speck et al., 2000). Sixty-nine HIV-infected individuals [39 HIV+NC, 30 HAND] and 59 SN control subjects with similar age ranges and education were evaluated with detailed clinical assessments, including neuropsychological tests. Three SN control subjects and 2 HIV+NC subjects who

Subject characteristics and cognitive function

Table 1 shows that SN and the 2 HIV groups were similar in age and age range, and had similar hematocrit (which might affect BOLD signals) (Levin et al., 2001). However, the HIV subjects had more depressive symptoms (on Center for Epidemiological Studies-depression scale) than SN control subjects. The 2 HIV groups had similar HIV disease severity, as assessed by CD4 count, nadir CD4 count, plasma viral load, and similar proportion of subjects with undetectable viral loads, duration of HIV

Discussion

This study found: (1) healthy SN control subjects showed age-dependent increases in activation primarily in the left temporal and parietal (bottom-up attention) regions with low attentional load but additionally required the left frontal (top-down attention) region for high attentional load. (2) HIV+NC subjects had age-dependent increases in activation primarily in the left attention network during the 2-ball task, but showed load-dependent decrease rather than the normal increased activation

Disclosure statement

The authors have no actual or potential conflicts of interest.

All study participants completed the protocol after signing a written consent form approved by our institution.

Acknowledgements

The authors thank the research participants who enrolled in this study, all of our clinical and technical research staff who helped with the data collection, and the community HIV care providers (especially Drs Drew Kovach, Cyril Goshima, and Jennifer Frank), who referred many of their patients to our study. We thank Dr Eric Miller for his valuable advice on the cognitive testing. This work was supported by the National Institute on Mental Health (2R01-MH061427), the National Institute on Drug

References (65)

  • C. Teunissen et al.

    Inflammation markers in relation to cognition in a healthy aging population

    J. Neuroimmunol.

    (2003)
  • D. Tomasi et al.

    Different activation patterns for working memory load and visual attention load

    Brain Res.

    (2007)
  • D. Tomasi et al.

    Practice-induced changes of brain function during visual attention: a parametric fMRI study at 4 Tesla

    Neuroimage

    (2004)
  • M.W. Voss et al.

    Dedifferentiation in the visual cortex: an fMRI investigation of individual differences in older adults

    Brain Res.

    (2008)
  • S. Abdulle et al.

    CSF neurofilament protein (NFL)–a marker of active HIV-related neurodegeneration

    J. Neurol.

    (2007)
  • C. Adler et al.

    Age-related changes in regional activation during working memory in young adults: an fMRI study

    Synapse

    (2001)
  • B.M. Ances et al.

    HIV infection and aging independently affect brain function as measured by functional magnetic resonance imaging

    J. Infect. Dis.

    (2010)
  • A. Antinori et al.

    Updated research nosology for HIV-associated neurocognitive disorders

    Neurology

    (2007)
  • J. Berger et al.

    Cerebrovascular changes in the basal ganglia with HIV dementia

    Neurology

    (2000)
  • J.R. Berger et al.

    Cerebrospinal fluid dopamine in HIV-1 infection

    AIDS

    (1994)
  • R. Cabeza et al.

    Age-related differences in neural activity during memory encoding and retrieval: a positron emission tomography study

    J. Neurosci.

    (1997)
  • J.M. Castelo et al.

    Altered hippocampal-prefrontal activation in HIV patients during episodic memory encoding

    Neurology

    (2006)
  • L. Chang et al.

    Cerebral metabolite abnormalities correlate with clinical severity of HIV-cognitive motor complex

    Neurology

    (1999)
  • L. Chang et al.

    Neural correlates of attention and working memory deficits in HIV patients

    Neurology

    (2001)
  • L. Chang et al.

    Adaptation of the attention network in human immunodeficiency virus brain injury

    Ann. Neurol.

    (2004)
  • L. Chang et al.

    Greater than age-related changes in brain diffusion of HIV patients after 1 year

    J. Neuroimmune Pharmacol.

    (2008)
  • J.R. Conde et al.

    Microglia in the aging brain

    J. Neuropathol. Exp. Neurol.

    (2006)
  • T. Ernst et al.

    Abnormal brain activation on functional MRI in cognitively asymptomatic HIV patients

    Neurology

    (2002)
  • T. Ernst et al.

    Lower brain glutamate is associated with cognitive deficits in HIV patients: a new mechanism for HIV-associated neurocognitive disorder

    J. Magn. Reson. Imaging

    (2010)
  • T. Ernst et al.

    Declined neural efficiency in cognitively stable human immunodeficiency virus patients

    Ann. Neurol.

    (2009)
  • F. Fera et al.

    Neural mechanisms underlying probabilistic category learning in normal aging

    J. Neurosci.

    (2005)
  • A. Gazzaley et al.

    Top-down modulation and normal aging

    Ann. N. Y. Acad. Sci.

    (2007)
  • Cited by (53)

    • Dopaminergic impact of cART and anti-depressants on HIV neuropathogenesis in older adults

      2019, Brain Research
      Citation Excerpt :

      Brain atrophy is increased with HIV, and older, cART-treated HIV-infected individuals show more rapid and progressive brain atrophy relative to healthy populations (Becker, 2011; Clifford, 2017). Additionally, neuroimaging in HIV-infected individuals, particularly among older adults, shows elevations in abnormal white matter (Gongvatana, 2011), and metabolic abnormalities associated with a decline in neural efficiency (Ernst, 2009; Chang, 2013). These changes may be a reflection of the accelerated deterioration of dopaminergic circuits seen in HIV-infected individuals (Ipser, 2015; Anderson, 2016; Janssen, 2017; Ann, 2016), as well as in the specific sensitivity of dopaminergic neurons to HIV-associated neurotoxicity (Agrawal, 2010; Lopez, 1999; Hu, 2009).

    • HIV-associated neurocognitive disorder

      2018, Handbook of Clinical Neurology
      Citation Excerpt :

      Changes are also seen in the anterior and posterior cingulate gyri, parietal, caudate, and deep white matter (Cysique et al., 2011; Boban et al., 2017). These changes are associated with poorer cognitive performance and higher monocyte viral load, but improve after cART (Chang et al., 2002, 2013; Valcour et al., 2013; Young et al., 2014). The meaning of persistent though milder abnormalities, especially raised choline in the frontal white matter, in the face of effective viral suppression is not clear.

    • Imaging studies of the HIV-infected brain

      2018, Handbook of Clinical Neurology
      Citation Excerpt :

      One year later, while the seronegative control group showed decreased activation due to practice effects, the HIV group had increased activation in frontal and parietal regions; however, no changes in the task performance were found in either group, demonstrating declined neural efficiency that required greater compensation in HIV + patients. During an attention task, age-dependent increases in BOLD activation (demonstrating compensation) were found in HIV + patients with normal cognition (Fig. 18.5D), but age-dependent decline in BOLD activation was seen in HIV + patients with HAND (demonstrating declined neural function with age) (Fig. 18.5E) (Chang et al., 2013). Similarly, premature aging with less BOLD activation and lower rCBF (using ASL) during a visual stimulation task were found across the age span in HIV + individuals (Ances et al., 2010b).

    • Effect of ageing on neurocognitive function by stage of HIV infection: evidence from the Multicenter AIDS Cohort Study

      2017, The Lancet HIV
      Citation Excerpt :

      In another neuroimaging study,31 longitudinal analysis showed evidence for a greater-than-expected effect of ageing on selected brain regions over a period of 6 months to 8 years within a cohort of individuals with HIV infection who were in good overall health and did not have clinical evidence for dementia. Another relevant study32 showed age-dependent changes in brain activation in response to tasks of increasing attentional load that differed among three groups, with HIV infection and ageing acting synergistically (ie, interactively) to exacerbate brain activation abnormalities in different brain regions. These results suggest that a neurologically adaptive mechanism in the attention network could be operating to compensate for decreased neural efficiency.

    View all citing articles on Scopus
    View full text