Review
Linking cognitive aging to alterations in dopamine neurotransmitter functioning: Recent data and future avenues

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Abstract

Molecular-imaging studies of dopaminergic neurotransmission measure biomarkers of dopamine (DA), such as the DA transporter and D1 and D2 receptor densities in the living brain. These studies indicate that individual differences in DA functions are linked to cognitive performance irrespective of age, and serve as powerful mediators of age-related decline in executive functioning, episodic memory, and perceptual speed. This focused review targets several recent findings pertaining to these relationships. Specifically, we discuss novel evidence concerning (a) the role of DA in within-person cognitive variability; (b) age-related differences in DA release during cognitive processing; (c) DA release following cognitive training in younger and older adults; and (d) the relationship between DA and task-induced functional brain activity. Based on these lines of empirical inquiry, we outline a series of avenues for future research on aging, DA, and cognition.

Section snippets

DA and within-person cognitive variability

Empirical evidence indicates that increased within-person performance fluctuations reflect suboptimal neuronal information processing (see MacDonald et al., 2006, for review), in line with propositions derived from computational models (e.g., Servan-Schreiber et al., 1990, Li et al., 2001). Higher levels of within-person behavioral variability in sensorimotor, perceptual, and cognitive tasks are often accompanied by lower mean levels of performance associated with various conditions (see Table 1

Age-related differences in DA release during cognitive processing

Cognitive performance in molecular-imaging studies is typically assessed outside the scanner; thus, the biomarker (e.g., receptor densities) is related to off-line cognitive markers (see Bäckman et al., 2006, Cropley et al., 2006, for reviews). There is, however, emerging evidence for in vivo mapping of actual release of DA, as assessed during cognitive activity. A paradigm used to address this issue involves contrasting DA binding in two conditions varying in cognitive load. DA release is

DA release following cognitive training in younger and older adults

Until relatively recently, adult cognitive intervention research was largely focused on training of strategies to boost episodic memory performance (for reviews, see Hill et al., 2000, Verhaeghen and Marcoen, 1996). A common assumption was that “hardware-based” cognitive functions such as working memory are less amenable to training and practice.

In recent years, however, several studies have demonstrated that extended practice may enhance performance in executively demanding situations such as

The relationship between DA and task-induced functional brain activity

For some time, we have argued for the importance of linking DA activity, blood flow, and behavior, thereby elucidating the chain that progresses from neuromodulation through functional activation to cognitive performance (e.g., Nyberg and Bäckman, 2004). The approach outlined in the preceding subsection on training, striatal BOLD response, and DA binding constitutes one step in that direction.

However, a direct way of addressing this issue is to collect PET-derived DA data and fMRI data on the

Concluding comments

We have reviewed new evidence on aging, DA, and cognition dealing with distinct, albeit interrelated, phenomena. These include the role of DA in processing fluctuations; age-related differences in DA release in response to cognitive activity and training; and the relationship between DA and the BOLD signal during cognitive activity. The novel findings emanating from these research themes solidify the assertion that DA is implicated in cognitive aging as well as in cognitive functioning

Acknowledgments

Preparation of this article was supported by grants from the Swedish Research Council and Swedish Brain Power to Lars Bäckman, who was also supported by an Alexander von Humboldt Research Award. Lars Nyberg was supported by grants from the Swedish Research Council and the Joint Committee for Nordic Research Councils in the Humanities and the Social Sciences. Ulman Lindenberger and Shu-Chen Li were supported by the Max Planck Society as well as the German Federal Ministry of Research and

References (104)

  • S.C. Li et al.

    Aging cognition: from neuromodulation to representation to cognition

    Trends Cognit. Sci.

    (2001)
  • S.C. Li et al.

    Integrative neurocomputational perspectives on cognitive aging, neuromodulation, and representation

    Neurosci. Biobehav. Rev.

    (2002)
  • S.C. Li et al.

    A neurocomputational model of stochastic resonance and aging

    Neurocomputing

    (2006)
  • M. Lövdèn et al.

    Within-person trial-to-trial variability precedes and predicts cognitive decline in old and very old age: longitudinal data from the Berlin Aging Study

    Neuropsychologia

    (2007)
  • S.W.S. MacDonald et al.

    Extrastriatal dopamine D2 receptor binding modulates intraindividual variability in episodic memory and executive functioning

    Neuropsychologia

    (2009)
  • S.W.S. MacDonald et al.

    Intra-individual variability in behavior: links to brain structure, neurotransmission, and neuronal activity

    Trends Neurosci.

    (2006)
  • P.G. MacRae et al.

    Reaction time and nigrostriatal dopamine function: the effects of age and practice

    Brain Res.

    (1988)
  • V.S. Mattay et al.

    Neurophysiological correlates of age-related changes in working-memory capacity

    Neurosci. Lett.

    (2006)
  • A. Miyake et al.

    The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis

    Cognit. Psychol.

    (2000)
  • O. Monchi et al.

    Striatal dopamine release during performance of executive functions: a [11C] raclopride PET study

    Neuroimage

    (2006)
  • A. Nagano-Saito et al.

    Cognitive- and motor-related regions in Parkinson's disease: FDOPA and FDG PET studies

    Neuroimage

    (2004)
  • L. Nyberg et al.

    Striatal dopamine D2 binding is related to frontal BOLD response during updating of long-term memory representations

    Neuroimage

    (2009)
  • S.J. Reeves et al.

    A positron emission tomography (PET) investigation of the role of striatal dopamine D2 receptor availability in spatial cognition

    Neuroimage

    (2005)
  • J.O. Rinne et al.

    Age-dependent decline of dopamine-D1 and dopamine-D2 receptor

    Brain Res.

    (1990)
  • H. Takahashi et al.

    Memory and frontal lobe functions: possible relations with dopamine D2 receptors in the hippocampus

    Neuroimage

    (2007)
  • C.H. Van Dyck et al.

    Striatal dopamine receptors correlate with simple reaction time in elderly subjects

    Neurobiol. Aging

    (2008)
  • S. Aalto et al.

    Frontal and temporal dopamine release during working memory and attention tasks in healthy humans: a PET study using high-affinity dopamine D2 receptor ligand [11C] FLB 457

    J. Neurosci.

    (2005)
  • A. Abi-Dargham et al.

    Prefrontal dopamine D1 receptors and working memory in schizophrenia

    J. Neurosci.

    (2002)
  • G.E. Alexander et al.

    Parallel organization of functionally segregated circuits linking basal ganglia and cortex

    Annu. Rev. Neurosci.

    (1986)
  • K.J. Anstey

    Sensorimotor and forced expiratory volume as correlates of speed, accuracy, and variability in reaction time performance in late adulthood

    Aging Neuropsychol. Cognit.

    (1999)
  • A. Antonini et al.

    Effect of age on D2 dopamine receptors in normal human brain measured by positron emission tomography and [11C] raclopride

    Arch. Neurol.

    (1993)
  • L. Bäckman et al.

    The role of dopamine functions in cognitive aging

  • L. Bäckman et al.

    Age-related cognitive deficits mediated by changes in the striatal dopamine system

    Am. J. Psychiatry

    (2000)
  • L. Bäckman et al.

    Dopamine D1 receptors and age differences in brain activation during working memory

    Neurobiol. Aging

    (2009)
  • L. Bäckman et al.

    Cognitive deficits in Huntington's disease are predicted by dopaminergic PET markers and brain volumes

    Brain

    (1997)
  • L. Bäckman et al.

    Aging and memory: cognitive and biological perspectives

  • M.J. Bannon et al.

    Age-related and regional differences in dopamine mRNA expression in human midbrain

    Neurology

    (1997)
  • C. Basak et al.

    Can training in a real-time strategy video game attenuate cognitive decline in older adults

    Psychol. Aging

    (2008)
  • Y. Brehmer et al.

    Memory plasticity across the life span: uncovering children's latent potential

    Dev. Psychol.

    (2007)
  • C.L. Burton et al.

    Intraindividual variability as a marker of neurological dysfunction: a comparison of Alzheimer's disease and Parkinson's disease

    J. Clin. Exp. Neuropsychol.

    (2006)
  • G. Bush et al.

    The multi-source interference task: validation study with fMRI in individual subjects

    Mol. Psychiatry

    (2003)
  • M. Buschkuehl et al.

    Impact of working memory training on memory performance in old–old adults

    Psychol. Aging

    (2008)
  • F.X. Castellanos et al.

    Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes

    Nat. Rev. Neurosci.

    (2002)
  • F.I.M. Craik et al.

    Handbook of Aging and Cognition

    (2007)
  • E. Dahlin et al.

    Plasticity of executive functioning in young and old Adults: immediate training gains, transfer, and long-term maintenance

    Psychol. Aging

    (2008)
  • E. Dahlin et al.

    Transfer of learning after updating training mediated by the striatum

    Science

    (2008)
  • A. Derwinger et al.

    Remembering numbers in old age: mnemonic training versus self-generated strategy training

    Aging Neuropsychol. Cognit.

    (2003)
  • A. Egelton et al.

    The dopaminergic basis of human behaviors: AS review of molecular imaging studies

    Neurosci. Biobehav. Rev.

    (2009)
  • A.A. Faisal et al.

    Noise in the nervous system

    Nat. Rev. Neurosci.

    (2008)
  • S.B. Glickstein et al.

    Mice lacking dopamine D2 and D3 receptors exhibit differential activation of prefrontal cortical neurons during tasks requiring attention

    Cereb. Cortex

    (2005)
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