Simulating Neurocognitive Aging: Effects of a Dopaminergic Antagonist on Brain Activity During Working Memory

Background Previous correlational studies have indirectly linked dysfunctional dopaminergic neurotransmission to age-related cognitive deficits and associated reductions in task-induced functional brain activity. Methods We used an experimental-pharmacological functional magnetic resonance imaging (...

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Veröffentlicht in:Biological psychiatry (1969) 2010, Vol.67 (6), p.575-580
Hauptverfasser: Fischer, Håkan, Nyberg, Lars, Karlsson, Sari, Karlsson, Per, Brehmer, Yvonne, Rieckmann, Anna, MacDonald, Stuart W.S, Farde, Lars, Bäckman, Lars
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Sprache:eng
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Zusammenfassung:Background Previous correlational studies have indirectly linked dysfunctional dopaminergic neurotransmission to age-related cognitive deficits and associated reductions in task-induced functional brain activity. Methods We used an experimental-pharmacological functional magnetic resonance imaging (fMRI) approach to more directly examine the role of dopamine in neurocognitive aging. Twenty younger and 20 healthy older adults were included. During fMRI scanning, a spatial working memory (SWM) task was administered under two conditions, varying in cognitive load. Positron emission tomography measurements with the D1 receptor antagonist [11 C]SCH23390 confirmed that a given experimental dose of unlabeled solution occupied 50% of D1 receptors in younger adults. Results An age-related reduction in SWM performance was observed, and fMRI data revealed that, relative to younger adults under placebo conditions, elderly persons under-recruited load-sensitive fronto-parietal regions during SWM. Critically, in younger adults, the D1 antagonist resulted in a similar reduction in SWM performance and fMRI response. Conclusions These results suggest that depletion of dopamine, whether ontogenetically or pharmacologically, results in decreased SWM performance as well as reduced load-dependent modulation of the blood oxygen level dependent signal in fronto-parietal regions, possibly by decreasing the signal-to-noise ratio in relevant neural networks.
ISSN:0006-3223
1873-2402
1873-2402
DOI:10.1016/j.biopsych.2009.12.013