Literature DB >> 25731995

Motivation by potential gains and losses affects control processes via different mechanisms in the attentional network.

Lena M Paschke1, Henrik Walter2, Rosa Steimke3, Vera U Ludwig4, Robert Gaschler5, Torsten Schubert6, Christine Stelzel7.   

Abstract

Attentional control in demanding cognitive tasks can be improved by manipulating the motivational state. Motivation to obtain gains and motivation to avoid losses both usually result in faster reaction times and stronger activation in relevant brain areas such as the prefrontal cortex, but little is known about differences in the underlying neurocognitive mechanisms of these types of motivation in an attentional control context. In the present functional magnetic resonance imaging (fMRI) study, we tested whether potential gain and loss as motivating incentives lead to overlapping or distinct neural effects in the attentional network, and whether one of these conditions is more effective than the other. A Flanker task with word stimuli as targets and distracters was performed by 115 healthy participants. Using a mixed blocked and event-related design allowed us to investigate transient and sustained motivation-related effects. Participants could either gain money (potential gain) or avoid losing money (potential loss) in different task blocks. Participants showed a congruency effect with increased reaction times for incongruent compared to congruent trials. Potential gain led to generally faster responses compared to the neutral condition and to stronger improvements than potential loss. Potential loss also led to shorter response times compared to the neutral condition, but participants improved mainly during incongruent and not during congruent trials. The event-related fMRI data revealed a main effect of congruency with increased activity in the left inferior frontal gyrus (IFG) and inferior frontal junction area (IFJ), the pre-supplementary motor area (pre-SMA), bilateral insula, intraparietal sulcus (IPS) and visual word form area (VWFA). While potential gain led to increased activity in a cluster of the IFJ and the VWFA only during incongruent trials, potential loss was linked to activity increases in these regions during incongruent and congruent trials. The block analysis revealed greater activity in gain and loss blocks compared to the neutral condition in most of these regions but no differences in the direct comparison of gain and loss blocks. These findings show that potential monetary gain and loss rely on different mechanisms: Gain was more effective in reducing the reaction time compared to potential loss. Brain data indicate that in the gain context attentional control is executed specifically in incongruent trials, whereas the loss context induces an unspecific increase of attentional control. These findings extend previous studies by providing evidence for diverging neural mechanisms for the effects of different types of motivation on attentional control, specifying the underlying activity patterns in task- and stimulus-related regions.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Attentional control; Inferior frontal cortex; Motivational valence; Semantic flanker task; fMRI

Mesh:

Year:  2015        PMID: 25731995     DOI: 10.1016/j.neuroimage.2015.02.047

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  10 in total

1.  The neural basis of motivational influences on cognitive control.

Authors:  Cameron Parro; Matthew L Dixon; Kalina Christoff
Journal:  Hum Brain Mapp       Date:  2018-08-18       Impact factor: 5.038

2.  Separate neural representations of prediction error valence and surprise: Evidence from an fMRI meta-analysis.

Authors:  Elsa Fouragnan; Chris Retzler; Marios G Philiastides
Journal:  Hum Brain Mapp       Date:  2018-03-25       Impact factor: 5.038

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

Authors:  Ana Cubillo; Aidan B Makwana; Todd A Hare
Journal:  Soc Cogn Affect Neurosci       Date:  2019-03-05       Impact factor: 3.436

4.  The impact of simulated MRI scanner background noise on visual attention processes as measured by the EEG.

Authors:  S Oliver Kobald; Stephan Getzmann; Christian Beste; Edmund Wascher
Journal:  Sci Rep       Date:  2016-06-21       Impact factor: 4.379

5.  Functional network changes and cognitive control in schizophrenia.

Authors:  Kimberly L Ray; Tyler A Lesh; Amber M Howell; Taylor P Salo; J Daniel Ragland; Angus W MacDonald; James M Gold; Steven M Silverstein; Deana M Barch; Cameron S Carter
Journal:  Neuroimage Clin       Date:  2017-05-02       Impact factor: 4.881

6.  Neural correlates of altered feedback learning in women recovered from anorexia nervosa.

Authors:  Franziska Ritschel; Daniel Geisler; Joseph A King; Fabio Bernardoni; Maria Seidel; Ilka Boehm; Richard Vettermann; Ronald Biemann; Veit Roessner; Michael N Smolka; Stefan Ehrlich
Journal:  Sci Rep       Date:  2017-07-14       Impact factor: 4.379

7.  Greater learning transfer effect for avoidance of loss than for achievement of gain in Finnish and Russian schoolchildren.

Authors:  A A Sozinov; S Laukka; A I Lyashchenko; A Siipo; M Nopanen; T Tuominen; Yu I Alexandrov
Journal:  Heliyon       Date:  2020-06-09

8.  Functional activation of insula and dorsal anterior cingulate for conflict control against larger monetary loss in young adults with subthreshold depression: a preliminary study.

Authors:  Je-Yeon Yun; Yoonji Irene Lee; Susan Park; Jong Moon Choi; Soo-Hee Choi; Joon Hwan Jang
Journal:  Sci Rep       Date:  2022-04-28       Impact factor: 4.996

9.  Decomposing Self-Control: Individual Differences in Goal Pursuit Despite Interfering Aversion, Temptation, and Distraction.

Authors:  Rosa Steimke; Christine Stelzel; Robert Gaschler; Marcus Rothkirch; Vera U Ludwig; Lena M Paschke; Ima Trempler; Norbert Kathmann; Thomas Goschke; Henrik Walter
Journal:  Front Psychol       Date:  2016-04-18

10.  Effective connectivity underlying reward-based executive control.

Authors:  Bernadette Hippmann; Elinor Tzvi; Martin Göttlich; Ronja Weiblen; Thomas F Münte; Sarah Jessen
Journal:  Hum Brain Mapp       Date:  2021-06-26       Impact factor: 5.038

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.