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Cited by 199

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Regional specialization within the human striatum for diverse psychological functions

Open access
Pauli, Wolfgang M., O’Reilly, Randall C., Yarkoni, Tal, Wager, Tor D.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: The subcortical striatum is critical for the planning and execution of motor behavior, and its dysfunction is associated with disorders such as Parkinson’s disease. More recently, the human striatum has also been reported to be involved in heterogeneous nonmotor psychological functions. However, detailed functional mappings of human psychological processes to striatal regions have been bound by theoretical and methodological limitations, including a strong focus on experimental paradigms derived from animal research, and the tendency to infer function from anatomical connectivity, rather than task-related activation. To overcome these limitations, we used a large-scale, unbiased, data-driven approach, and generated a precise, comprehensive functional map, directly associating striatal zones with the broadest range of psychological processes to date.

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Metadata

Authors
Pauli, W. M., O’Reilly, R. C., Yarkoni, T., & Wager, T. D.
Venue
Proceedings of the National Academy of Sciences
Published
2016-02
Volume
113
Issue
7
Pages
1907-1912
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2253338868
Cited by
199
References
25
FWCI
15.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Regional specialization within the human striatum for diverse psychological functions. https://app.cochat.ai/papers/10.1073/pnas.1507610113
The paper
Pauli, W. M., O’Reilly, R. C., Yarkoni, T., & Wager, T. D. (2016). Regional specialization within the human striatum for diverse psychological functions. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1507610113

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.