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Self-Regulatory Capacities Are Depleted in a Domain-Specific Manner

Overview of attention for article published in Frontiers in Systems Neuroscience, September 2017
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Title
Self-Regulatory Capacities Are Depleted in a Domain-Specific Manner
Published in
Frontiers in Systems Neuroscience, September 2017
DOI 10.3389/fnsys.2017.00070
Pubmed ID
Authors

Rui Zhang, Ann-Kathrin Stock, Anneka Rzepus, Christian Beste

Abstract

Performing an act of self-regulation such as making decisions has been suggested to deplete a common limited resource, which impairs all subsequent self-regulatory actions (ego depletion theory). It has however remained unclear whether self-referred decisions truly impair behavioral control even in seemingly unrelated cognitive domains, and which neurophysiological mechanisms are affected by these potential depletion effects. In the current study, we therefore used an inter-individual design to compare two kinds of depletion, namely a self-referred choice-based depletion and a categorization-based switching depletion, to a non-depleted control group. We used a backward inhibition (BI) paradigm to assess the effects of depletion on task switching and associated inhibition processes. It was combined with EEG and source localization techniques to assess both behavioral and neurophysiological depletion effects. The results challenge the ego depletion theory in its current form: Opposing the theory's prediction of a general limited resource, which should have yielded comparable effects in both depletion groups, or maybe even a larger depletion in the self-referred choice group, there were stronger performance impairments following a task domain-specific depletion (i.e., the switching-based depletion) than following a depletion based on self-referred choices. This suggests at least partly separate and independent resources for various cognitive control processes rather than just one joint resource for all self-regulation activities. The implications are crucial to consider for people making frequent far-reaching decisions e.g., in law or economy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Student > Ph. D. Student 5 25%
Student > Doctoral Student 3 15%
Student > Bachelor 1 5%
Other 1 5%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Psychology 11 55%
Neuroscience 2 10%
Nursing and Health Professions 1 5%
Medicine and Dentistry 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2017.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from Frontiers in Systems Neuroscience
#1,147
of 1,364 outputs
Outputs of similar age
#247,602
of 322,120 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#21
of 26 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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