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Usage Information

Genetic evidence implicating DARPP-32 in human frontostriatal structure, function, and cognition
Andreas Meyer-Lindenberg, Richard E. Straub, Barbara K. Lipska, Beth A. Verchinski, Terry Goldberg, Joseph H. Callicott, Michael F. Egan, Stephen S. Huffaker, Venkata S. Mattay, Bhaskar Kolachana, Joel E. Kleinman, Daniel R. Weinberger
Andreas Meyer-Lindenberg, Richard E. Straub, Barbara K. Lipska, Beth A. Verchinski, Terry Goldberg, Joseph H. Callicott, Michael F. Egan, Stephen S. Huffaker, Venkata S. Mattay, Bhaskar Kolachana, Joel E. Kleinman, Daniel R. Weinberger
View: Text | PDF
Research Article Neuroscience

Genetic evidence implicating DARPP-32 in human frontostriatal structure, function, and cognition

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Abstract

Dopamine- and cAMP-regulated phosphoprotein of molecular weight 32 kDa (DARPP-32), encoded by PPP1R1B, is a pivotal integrator of information in dopaminoceptive neurons, regulating the response to neuroleptics, psychotomimetics, and drugs of abuse, and affecting striatal function and plasticity. Despite extensive preclinical work, there are almost no data on DARPP-32 function in humans. Here, we identify, through resequencing in 298 chromosomes, a frequent PPP1R1B haplotype predicting mRNA expression of PPP1R1B isoforms in postmortem human brain. This haplotype was associated with enhanced performance on several cognitive tests that depend on frontostriatal function. Multimodal imaging of healthy subjects revealed an impact of the haplotype on neostriatal volume, activation, and the functional connectivity of the prefrontal cortex. The haplotype was associated with the risk for schizophrenia in 1 family-based association analysis. Our convergent results identify a prefrontal-neostriatal system affected by variation in PPP1R1B and suggest that DARPP-32 plays a pivotal role in cognitive function and possibly in the pathogenesis of schizophrenia.

Authors

Andreas Meyer-Lindenberg, Richard E. Straub, Barbara K. Lipska, Beth A. Verchinski, Terry Goldberg, Joseph H. Callicott, Michael F. Egan, Stephen S. Huffaker, Venkata S. Mattay, Bhaskar Kolachana, Joel E. Kleinman, Daniel R. Weinberger

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,945 95
PDF 190 17
Figure 341 14
Table 257 0
Supplemental data 87 5
Citation downloads 184 0
Totals 3,004 131
Total Views 3,135
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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