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