Advanced search
1 file | 1.49 MB Add to list

Human midcingulate cortex encodes distributed representations of task progress

Author
Organization
Abstract
The function of midcingulate cortex (MCC) remains elusive despite decades of investigation and debate. Complicating matters, individual MCC neurons respond to highly diverse task-related events, and MCC activation is reported in most human neuroimaging studies employing a wide variety of task manipulations. Here we investigate this issue by applying a model-based cognitive neuroscience approach involving neural network simulations, functional magnetic resonance imaging, and representational similarity analysis. We demonstrate that human MCC encodes distributed, dynamically evolving representations of extended, goal-directed action sequences. These representations are uniquely sensitive to the stage and identity of each sequence, indicating that MCC sustains contextual information necessary for discriminating between task states. These results suggest that standard univariate approaches for analyzing MCC function overlook the major portion of task-related information encoded by this brain area and point to promising new avenues for investigation.
Keywords
ANTERIOR CINGULATE CORTEX, MEDIAL FRONTAL-CORTEX, PREFRONTAL CORTEX, UNIVARIATE ANALYSIS, COGNITIVE CONTROL, ACTION SEQUENCES, MULTI-VOXEL, MOTOR AREA, BEHAVIOR, NEURONS, midcingulate cortex, recurrent neural network, representational, similarity analysis, fMRI, sequence execution

Downloads

  • Holroyd MCC pnas.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 1.49 MB

Citation

Please use this url to cite or link to this publication:

MLA
Holroyd, Clay B., Jose J. F. Ribas-Fernandes, Danesh Shahnazian, et al. “Human Midcingulate Cortex Encodes Distributed Representations of Task Progress.” PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 115.25 (2018): 6398–6403. Print.
APA
Holroyd, C. B., Ribas-Fernandes, J. J. F., Shahnazian, D., Silvetti, M., & Verguts, T. (2018). Human midcingulate cortex encodes distributed representations of task progress. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 115(25), 6398–6403.
Chicago author-date
Holroyd, Clay B., Jose J. F. Ribas-Fernandes, Danesh Shahnazian, Massimo Silvetti, and Tom Verguts. 2018. “Human Midcingulate Cortex Encodes Distributed Representations of Task Progress.” Proceedings of the National Academy of Sciences of the United States of America 115 (25): 6398–6403.
Chicago author-date (all authors)
Holroyd, Clay B., Jose J. F. Ribas-Fernandes, Danesh Shahnazian, Massimo Silvetti, and Tom Verguts. 2018. “Human Midcingulate Cortex Encodes Distributed Representations of Task Progress.” Proceedings of the National Academy of Sciences of the United States of America 115 (25): 6398–6403.
Vancouver
1.
Holroyd CB, Ribas-Fernandes JJF, Shahnazian D, Silvetti M, Verguts T. Human midcingulate cortex encodes distributed representations of task progress. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. Washington: Natl Acad Sciences; 2018;115(25):6398–403.
IEEE
[1]
C. B. Holroyd, J. J. F. Ribas-Fernandes, D. Shahnazian, M. Silvetti, and T. Verguts, “Human midcingulate cortex encodes distributed representations of task progress,” PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 115, no. 25, pp. 6398–6403, 2018.
@article{8567707,
  abstract     = {The function of midcingulate cortex (MCC) remains elusive despite decades of investigation and debate. Complicating matters, individual MCC neurons respond to highly diverse task-related events, and MCC activation is reported in most human neuroimaging studies employing a wide variety of task manipulations. Here we investigate this issue by applying a model-based cognitive neuroscience approach involving neural network simulations, functional magnetic resonance imaging, and representational similarity analysis. We demonstrate that human MCC encodes distributed, dynamically evolving representations of extended, goal-directed action sequences. These representations are uniquely sensitive to the stage and identity of each sequence, indicating that MCC sustains contextual information necessary for discriminating between task states. These results suggest that standard univariate approaches for analyzing MCC function overlook the major portion of task-related information encoded by this brain area and point to promising new avenues for investigation.},
  author       = {Holroyd, Clay B. and Ribas-Fernandes, Jose J. F. and Shahnazian, Danesh and Silvetti, Massimo and Verguts, Tom},
  issn         = {0027-8424},
  journal      = {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA},
  keywords     = {ANTERIOR CINGULATE CORTEX,MEDIAL FRONTAL-CORTEX,PREFRONTAL CORTEX,UNIVARIATE ANALYSIS,COGNITIVE CONTROL,ACTION SEQUENCES,MULTI-VOXEL,MOTOR AREA,BEHAVIOR,NEURONS,midcingulate cortex,recurrent neural network,representational,similarity analysis,fMRI,sequence execution},
  language     = {eng},
  number       = {25},
  pages        = {6398--6403},
  publisher    = {Natl Acad Sciences},
  title        = {Human midcingulate cortex encodes distributed representations of task progress},
  url          = {http://dx.doi.org/10.1073/pnas.1803650115},
  volume       = {115},
  year         = {2018},
}

Altmetric
View in Altmetric
Web of Science
Times cited: