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      Toward a Rational and Mechanistic Account of Mental Effort.

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          Abstract

          In spite of its familiar phenomenology, the mechanistic basis for mental effort remains poorly understood. Although most researchers agree that mental effort is aversive and stems from limitations in our capacity to exercise cognitive control, it is unclear what gives rise to those limitations and why they result in an experience of control as costly. The presence of these control costs also raises further questions regarding how best to allocate mental effort to minimize those costs and maximize the attendant benefits. This review explores recent advances in computational modeling and empirical research aimed at addressing these questions at the level of psychological process and neural mechanism, examining both the limitations to mental effort exertion and how we manage those limited cognitive resources. We conclude by identifying remaining challenges for theoretical accounts of mental effort as well as possible applications of the available findings to understanding the causes of and potential solutions for apparent failures to exert the mental effort required of us.

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          Most cited references101

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          The role of the medial frontal cortex in cognitive control.

          Adaptive goal-directed behavior involves monitoring of ongoing actions and performance outcomes, and subsequent adjustments of behavior and learning. We evaluate new findings in cognitive neuroscience concerning cortical interactions that subserve the recruitment and implementation of such cognitive control. A review of primate and human studies, along with a meta-analysis of the human functional neuroimaging literature, suggest that the detection of unfavorable outcomes, response errors, response conflict, and decision uncertainty elicits largely overlapping clusters of activation foci in an extensive part of the posterior medial frontal cortex (pMFC). A direct link is delineated between activity in this area and subsequent adjustments in performance. Emerging evidence points to functional interactions between the pMFC and the lateral prefrontal cortex (LPFC), so that monitoring-related pMFC activity serves as a signal that engages regulatory processes in the LPFC to implement performance adjustments.
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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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              Anterior cingulate conflict monitoring and adjustments in control.

              Conflict monitoring by the anterior cingulate cortex (ACC) has been posited to signal a need for greater cognitive control, producing neural and behavioral adjustments. However, the very occurrence of behavioral adjustments after conflict has been questioned, along with suggestions that there is no direct evidence of ACC conflict-related activity predicting subsequent neural or behavioral adjustments in control. Using the Stroop color-naming task and controlling for repetition effects, we demonstrate that ACC conflict-related activity predicts both greater prefrontal cortex activity and adjustments in behavior, supporting a role of ACC conflict monitoring in the engagement of cognitive control.
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                Author and article information

                Journal
                Annu. Rev. Neurosci.
                Annual review of neuroscience
                Annual Reviews
                1545-4126
                0147-006X
                July 25 2017
                : 40
                Affiliations
                [1 ] Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, Rhode Island 02912; email: amitai_shenhav@brown.edu.
                [2 ] Brown Institute for Brain Science, Brown University, Providence, Rhode Island 02912.
                [3 ] Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08544.
                [4 ] Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
                [5 ] Department of Psychology, Harvard University, Cambridge, Massachusetts 02138.
                [6 ] Department of Psychology, University of California, Berkeley, California 94720.
                [7 ] Department of Psychology, Princeton University, Princeton, New Jersey 08540.
                [8 ] Google DeepMind, London M1C 4AG, United Kingdom.
                [9 ] Gatsby Computational Neuroscience Unit, University College London, London W1T 4JG, United Kingdom.
                Article
                10.1146/annurev-neuro-072116-031526
                28375769
                ae4d93c8-4063-48d3-b260-b18b5e29bddd
                History

                motivation,executive function,decision making,reward,prefrontal cortex,cognitive control

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