Literature DB >> 22113962

Modulation of working memory function by motivation through loss-aversion.

Daniel C Krawczyk1, Mark D'Esposito.   

Abstract

Cognitive performance is affected by motivation. Few studies, however, have investigated the neural mechanisms of the influence of motivation through potential monetary punishment on working memory. We employed functional MRI during a delayed recognition task that manipulated top-down control demands with added monetary incentives to some trials in the form of potential losses of bonus money. Behavioral performance on the task was influenced by loss-threatening incentives in the form of faster and more accurate performance. As shown previously, we found enhancement of activity for relevant stimuli occurs throughout all task periods (e.g., stimulus encoding, maintenance, and response) in both prefrontal and visual association cortex. Further, these activation patterns were enhanced for trials with possible monetary loss relative to nonincentive trials. During the incentive cue, the amygdala and striatum showed significantly greater activation when money was at a possible loss on the trial. We also evaluated patterns of functional connectivity between regions responsive to monetary consequences and prefrontal areas responsive to the task. This analysis revealed greater delay period connectivity between and the left insula and prefrontal cortex with possible monetary loss relative to nonincentive trials. Overall, these results reveal that incentive motivation can modulate performance on working memory tasks through top-down signals via amplification of activity within prefrontal and visual association regions selective to processing the perceptual inputs of the stimuli to be remembered.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 22113962      PMCID: PMC3337893          DOI: 10.1002/hbm.21472

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  45 in total

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2.  Behavioral reactions reflecting differential reward expectations in monkeys.

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3.  Anticipation of increasing monetary reward selectively recruits nucleus accumbens.

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Journal:  J Neurosci       Date:  2001-08-15       Impact factor: 6.167

4.  Instructed delay activity in the human prefrontal cortex is modulated by monetary reward expectation.

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5.  Differential effects of distraction during working memory on delay-period activity in the prefrontal cortex and the visual association cortex.

Authors:  Jong H Yoon; Clayton E Curtis; Mark D'Esposito
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6.  Measuring functional connectivity during distinct stages of a cognitive task.

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7.  Reward modulation of prefrontal and visual association cortex during an incentive working memory task.

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Journal:  Brain Res       Date:  2007-01-25       Impact factor: 3.252

8.  The neural system that bridges reward and cognition in humans: an fMRI study.

Authors:  J B Pochon; R Levy; P Fossati; S Lehericy; J B Poline; B Pillon; D Le Bihan; B Dubois
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9.  Primary and secondary rewards differentially modulate neural activity dynamics during working memory.

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10.  How does reward expectation influence cognition in the human brain?

Authors:  James B Rowe; Doris Eckstein; Todd Braver; Adrian M Owen
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  15 in total

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4.  Differential modulation of cognitive control networks by monetary reward and punishment.

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Journal:  Soc Cogn Affect Neurosci       Date:  2019-03-05       Impact factor: 3.436

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Journal:  Neuroimage       Date:  2014-11-11       Impact factor: 6.556

6.  The default mode network and the working memory network are not anti-correlated during all phases of a working memory task.

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Review 7.  Causes and consequences of limitations in visual working memory.

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8.  Human trace fear conditioning: right-lateralized cortical activity supports trace-interval processes.

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9.  Effects of incentives, age, and behavior on brain activation during inhibitory control: a longitudinal fMRI study.

Authors:  David J Paulsen; Michael N Hallquist; Charles F Geier; Beatriz Luna
Journal:  Dev Cogn Neurosci       Date:  2014-09-19       Impact factor: 6.464

10.  Gamification of Learning Deactivates the Default Mode Network.

Authors:  Paul A Howard-Jones; Tim Jay; Alice Mason; Harvey Jones
Journal:  Front Psychol       Date:  2016-01-07
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