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      An information theory account of cognitive control

      research-article
      1 , 2
      Frontiers in Human Neuroscience
      Frontiers Media S.A.
      cognitive control, information theory, uncertainty, entropy, frontoparietal network

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          Abstract

          Our ability to efficiently process information and generate appropriate responses depends on the processes collectively called cognitive control. Despite a considerable focus in the literature on the cognitive control of information processing, neural mechanisms underlying control are still unclear, and have not been characterized by considering the quantity of information to be processed. A novel and comprehensive account of cognitive control is proposed using concepts from information theory, which is concerned with communication system analysis and the quantification of information. This account treats the brain as an information-processing entity where cognitive control and its underlying brain networks play a pivotal role in dealing with conditions of uncertainty. This hypothesis and theory article justifies the validity and properties of such an account and relates experimental findings to the frontoparietal network under the framework of information theory.

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          Most cited references128

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          The attention system of the human brain.

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            A dual-networks architecture of top-down control.

            Complex systems ensure resilience through multiple controllers acting at rapid and slower timescales. The need for efficient information flow through complex systems encourages small-world network structures. On the basis of these principles, a group of regions associated with top-down control was examined. Functional magnetic resonance imaging showed that each region had a specific combination of control signals; resting-state functional connectivity grouped the regions into distinct 'fronto-parietal' and 'cingulo-opercular' components. The fronto-parietal component seems to initiate and adjust control; the cingulo-opercular component provides stable 'set-maintenance' over entire task epochs. Graph analysis showed dense local connections within components and weaker 'long-range' connections between components, suggesting a small-world architecture. The control systems of the brain seem to embody the principles of complex systems, encouraging resilient performance.
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              The activation of attentional networks.

              Alerting, orienting, and executive control are widely thought to be relatively independent aspects of attention that are linked to separable brain regions. However, neuroimaging studies have yet to examine evidence for the anatomical separability of these three aspects of attention in the same subjects performing the same task. The attention network test (ANT) examines the effects of cues and targets within a single reaction time task to provide a means of exploring the efficiency of the alerting, orienting, and executive control networks involved in attention. It also provides an opportunity to examine the brain activity of these three networks as they operate in a single integrated task. We used event-related functional magnetic resonance imaging (fMRI) to explore the brain areas involved in the three attention systems targeted by the ANT. The alerting contrast showed strong thalamic involvement and activation of anterior and posterior cortical sites. As expected, the orienting contrast activated parietal sites and frontal eye fields. The executive control network contrast showed activation of the anterior cingulate along with several other brain areas. With some exceptions, activation patterns of these three networks within this single task are consistent with previous fMRI studies that have been studied in separate tasks. Overall, the fMRI results suggest that the functional contrasts within this single task differentially activate three separable anatomical networks related to the components of attention.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                02 September 2014
                2014
                : 8
                : 680
                Affiliations
                [1] 1Department of Psychology, Queens College, The City University of New York Flushing, NY, USA
                [2] 2Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai New York, NY, USA
                Author notes

                Edited by: Aron K. Barbey, University of Illinois at Urbana-Champaign, USA

                Reviewed by: Timothy J. Buschman, Princeton University, USA; Karl Friston, UCL, UK

                *Correspondence: Jin Fan, Department of Psychology, Queens College, The City University of New York, 65-30 Kissena Blvd., Flushing, NY 11367, USA e-mail: jin.fan@ 123456qc.cuny.edu

                This article was submitted to the journal Frontiers in Human Neuroscience.

                Article
                10.3389/fnhum.2014.00680
                4151034
                25228875
                0f767102-6d5c-4d8f-8321-ce642ad05b0a
                Copyright © 2014 Fan.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 June 2014
                : 14 August 2014
                Page count
                Figures: 5, Tables: 0, Equations: 4, References: 199, Pages: 16, Words: 15994
                Categories
                Neuroscience
                Hypothesis and Theory Article

                Neurosciences
                cognitive control,information theory,uncertainty,entropy,frontoparietal network
                Neurosciences
                cognitive control, information theory, uncertainty, entropy, frontoparietal network

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