Evidence map›Paper›PMID 30555600›Full record

ArticleNeuroethics2018

Information processing biases in the brain: Implications for decision-making and self-governance.

Anthony W Sali, Brian A Anderson, Susan M Courtney

Abstract read
In one paragraph

Article in Neuroethics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Rethinking Distraction.Visual cognition · 2024
    Article
  3. A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.Perspectives on psychological science : a journal of the Association for Psychological Science · 2023
    Review
  4. Article
  5. Article
  6. Article
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.

Anthony W SaliCenter for Cognitive Neuroscience, Duke University.
Brian A AndersonDepartment of Psychological and Brain Sciences, Johns Hopkins University.
Susan M CourtneyDepartment of Psychological and Brain Sciences, Johns Hopkins University.

Funding

Cortical mechanisms of task switching revealed by fMRIR01DA013165 · NIDA · JOHNS HOPKINS UNIVERSITY · PI COURTNEY-FARUQEE, SUSAN M · 2000 to 2015
$7.2M
NIDA NIH HHS R01 DA013165
6 · The paper itself

Abstract

To make behavioral choices that are in line with our goals and our moral beliefs, we need to gather and consider information about our current situation. Most information present in our environment is not relevant to the choices we need or would want to make and thus could interfere with our ability to behave in ways that reflect our underlying values. Certain sources of information could even lead us to make choices we later regret, and thus it would be beneficial to be able to ignore that information. Our ability to exert successful self-governance depends on our ability to attend to sources of information that we deem important to our decision-making processes. We generally assume that, at any moment, we have the ability to choose what we pay attention to. However, recent research indicates that what we pay attention to is influenced by our prior experiences, including reward history and past successes and failures, even when we are not aware of this history. Even momentary distractions can cause us to miss or discount information that should have a greater influence on our decisions given our values. Such biases in attention thus raise questions about the degree to which the choices that we make may be poorly informed and not truly reflect our ability to otherwise exert self-governance.

Indexed as

AttentionCognitive ControlLearningSelf-GovernanceWorking Memory

Identifiers

PMID30555600
PMCPMC6291224

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.