Evidence map›Paper›PMID 36033608›Full record

ArticleFrontiers in neuroscience2022

Using event-related brain potentials to explore the temporal dynamics of decision-making related to information security.

Robert West, Bridget Kirby, Kaitlyn Malley

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Robert WestDepartment of Psychology and Neuroscience, DePauw University, Greencastle, IN, United States.
Bridget KirbyDepartment of Psychology and Neuroscience, DePauw University, Greencastle, IN, United States.
Kaitlyn MalleySchool of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insider threat from individuals operating within an organization presents a significant source of violations of information security. Our previous research has used scalp recorded event-related brain potentials (ERPs) and the Information Security Paradigm (ISP) to identify the neural correlates of decision-making processes related to violations of information security. In the current study, we sought to expand this research by examining the effects of two variables that were drawn from the broader decision-making literature (i.e., the benefactor and delay of a reward) on ERPs measured in the ISP. In the ISP we varied whether Josh-a hypothetical IT specialist-or a significant other was the benefactor of a violation, and whether the benefit of a violation was received after a short or long delay. The choice data revealed that individuals were less likely to endorse an unethical action than a control action. The electrophysiological data revealed ERPs that differentiated ethical scenarios from control scenarios between 200 and 2,000 ms after onset of the decision prompt, distributed over the occipital, central, and lateral frontal regions of the scalp. These ERPs were insensitive to the benefactor and delay of the reward. In contrast, there was slow wave activity over the frontal-polar region that was sensitive to both variables. The current findings provide evidence for separable neural systems that are either generally related to ethical decision-making in the ISP or are sensitive to the benefactor or delay of a reward resulting from an unethical decision.

Indexed as

delay of rewardethical decision makingevent—related potentials (ERP)information securityperspective taking

Identifiers

PMID36033608
PMCPMC9399506

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.