Behavioral NeuroscienceNeurosciencePeer-reviewed journal article
Quantifying the inverted U: A meta-analysis of prefrontal dopamine, D1-receptors, and working memory
Matthew A. WeberiD, Mackenzie M. ConloniD, Hannah R StuttiD, Linder Hagstrom WendtiD, Patrick Ten EyckiD, Nandakumar S. NarayananiD
Abstract
Dopamine in the prefrontal cortex can be disrupted in human disorders that affect cognitive function such as Parkinsons disease (PD), attention-deficit hyperactivity disorder (ADHD), and schizophrenia. Dopamine has a powerful effect on prefrontal circuits via the D1-type dopamine receptor (D1DR). It has been proposed that prefrontal dopamine has "inverted U-shaped" dynamics, with optimal dopamine and D1DR signaling required for optimal cognitive function. However, the quantitative relationship between prefrontal dopamine and cognitive function is not clear. Here, we conducted a meta-analysis of published manipulations of prefrontal dopamine and the effects on working memory, a high-level executive function in humans, primates, and rodents that involves maintaining and manipulating information over seconds to minutes. We reviewed 646 papers and found that 75 studies met criteria for inclusion. Our quantification of effect sizes for dopamine, D1DRs, and behavior revealed a negative quadratic slope. This is consistent with the proposed inverted U-shape of prefrontal dopamine and D1DRs and working memory performance, explaining 10% of the variance. Of note, the inverted quadratic fit was much stronger for prefrontal D1DRs alone, explaining 26% of the variance, compared to prefrontal dopamine alone, explaining 10% of the variance. Taken together, these data, derived from a variety of manipulations and systems, demonstrate that optimal prefrontal dopamine signalling is linked with higher cognitive function. Our results provide insight into the fundamental dynamics of prefrontal dopamine, which could be useful for pharmacological interventions targeting prefrontal dopaminergic circuits, and into the pathophysiology of human brain disease.
- organism: human
- organism: non-human primate
- organism: rat
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 34
- FWCI
- 0.93
- Field percentile
- top 34%
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