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The geometry of domain-general performance monitoring in the human medial frontal cortex

Fu, Zhongzheng and Beam, Danielle and Chung, Jeffrey M. and Reed, Chrystal M. and Mamelak, Adam N. and Adolphs, Ralph and Rutishauser, Ueli (2022) The geometry of domain-general performance monitoring in the human medial frontal cortex. Science, 376 (6593). Art. No. abm9922. ISSN 0036-8075. doi:10.1126/science.abm9922.

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Controlling behavior to flexibly achieve desired goals depends on the ability to monitor one’s own performance. It is unknown how performance monitoring can be both flexible, to support different tasks, and specialized, to perform each task well. We recorded single neurons in the human medial frontal cortex while subjects performed two tasks that involve three types of cognitive conflict. Neurons encoding conflict probability, conflict, and error in one or both tasks were intermixed, forming a representational geometry that simultaneously allowed task specialization and generalization. Neurons encoding conflict retrospectively served to update internal estimates of conflict probability. Population representations of conflict were compositional. These findings reveal how representations of evaluative signals can be both abstract and task-specific and suggest a neuronal mechanism for estimating control demand.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper ItemData
Fu, Zhongzheng0000-0002-2572-6284
Beam, Danielle0000-0001-5761-6621
Reed, Chrystal M.0000-0002-7157-3645
Mamelak, Adam N.0000-0002-4245-6431
Adolphs, Ralph0000-0002-8053-9692
Rutishauser, Ueli0000-0002-9207-7069
Alternate Title:The geometry of domain-general performance monitoring representations in the human medial frontal cortex
Additional Information:© 2022 American Association for the Advancement of Science. Submitted 27 October 2021; accepted 1 April 2022. We thank the members of the Adolphs and Rutishauser labs, L. J. Jin, and S. Dong for discussion. We thank all subjects and their families for their participation and the staff of the Cedars-Sinai Epilepsy Monitoring Unit for their support. This work was supported by NIMH (R01MH110831 to U.R.), the NIMH Conte Center (P50MH094258 to R.A. and U.R.), the National Science Foundation (CAREER Award BCS-1554105), the BRAIN Initiative through the NIH Office of the Director (U01NS117839), and the Simons Foundation Collaboration on the Global Brain (R.A.). Author contributions: Z.F., R.A., and U.R. designed the study. Z.F. and U.R. collected and analyzed the data and implemented analysis procedures. Z.F., U.R., A.N.M., and R.A. wrote the paper. D.B. acquired and analyzed the behavioral control data. J.M.C. and C.M.R. provided patient care and facilitated experiments. A.N.M. performed surgery. The authors have no competing interests to declare. Data and materials availability: Data needed to reproduce results have been deposited at Open Science Framework (OSF) (78).
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funding AgencyGrant Number
Simons FoundationUNSPECIFIED
Issue or Number:6593
Record Number:CaltechAUTHORS:20210712-164542451
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Official Citation:The geometry of domain-general performance monitoring in the human medial frontal cortex. Zhongzheng Fu, Danielle Beam, Jeffrey M. Chung, Chrystal M. Reed, Adam N. Mamelak, Ralph Adolphs, Ueli Rutishauser. Science, 376 (6593), eabm9922; DOI: 10.1126/science.abm9922
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109777
Deposited By: Tony Diaz
Deposited On:12 Jul 2021 17:32
Last Modified:06 May 2022 18:15

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