Journal article
Quantitative characterization of functional anatomical contributions to cognitive control under uncertainty
J Fan, NT van Dam, X Gu, X Liu, H Wang, CY Tang, PR Hof
Journal of Cognitive Neuroscience | MIT PRESS | Published : 2014
DOI: 10.1162/jocn_a_00554
Abstract
Although much evidence indicates that RT increases as a function of computational load in many cognitive tasks, quantification of changes in neural activity related to increasing demand of cognitive control has rarely been attempted. In this fMRI study, we used a majority function task to quantify the effect of computational load on brain activation, reflecting the mental processes instantiated by cognitive control under conditions of uncertainty. We found that the activation of the frontoparieto-cingulate system as well as the deactivation of the anticorrelated default mode network varied parametrically as a function of information uncertainty, estimated as entropy with an information theor..
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Awarded by National Center for Research Resources
Funding Acknowledgements
We thank Dr. Michael I. Posner for valuable comments on the study design and the manuscript, Dr. Thomas P. Naidich for insightful comments on neuroanatomical constraints and implications, and Yunsoo Park and Kevin Guise for assistance with data collection. Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health (NIH) under award R01 MH094305 and by NIH grant M01 RR000071 from the National Center for Research Resources (NCRR). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or NCRR. This work was also supported in part by a James S. McDonnell Foundation award to P. R. H. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.