Evidence map›Paper›PMID 25945926›Full record

ReviewCognitive neuroscience

Attentional control and the self: The Self-Attention Network (SAN).

Glyn W Humphreys, Jie Sui

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cognitive neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed
16.5field-weighted citation impact, top 1% of its field
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

114 citing papers in PubMed, 296 citations in OpenAlex.

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  16. We are what we eat: Cross-cultural self-prioritization effects for food stimuli.British journal of psychology (London, England : 1953) · 2026
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  18. Neural Compensation in the Medial Prefrontal Cortex Preserves Self-Prioritization in Aging: A Computational Approach.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Glyn W Humphreysa Department of Experimental Psychology , University of Oxford , Oxford , UK.
Jie Suia Department of Experimental Psychology , University of Oxford , Oxford , UK.
University of Oxford · GB

Funding

Wellcome Trust 106164
6 · The paper itself

Abstract

Although there is strong evidence that human decision-making is frequently self-biased, it remains unclear whether self-biases mediate attention. Here we review evidence on the relations between self-bias effects in decision-making and attention. We ask: Does self-related information capture attention? Do self-biases modulate pre-attentive processes or do they depend on attentional resources being available? We review work on (1) own-name effects, (2) own-face effects, and (3) self-biases in associative matching. We argue that self-related information does have a differential impact on the allocation of attention and that it can alter the saliency of a stimulus in a manner that mimics the effects of perceptual-saliency. However, there is also evidence that self-biases depend on the availability of attentional resources and attentional expectancies for upcoming stimuli. We propose a new processing framework, the Self-Attention Network (SAN), in which neural circuits responding to self-related stimuli interact with circuits supporting attentional control, to determine our emergent behavior. We also discuss how these-bias effects may extend beyond the self to be modulated by the broader social context-for example, by cultural experience, by an in-group as opposed to an out-group stimulus, and by whether we are engaged in joint actions. Self-biases on attention are modulated by social context.

Indexed as

EgoAttentionDecision MakingExecutive FunctionHumansNerve NetAttentionOwn-face effectOwn-name effectSelf-bias

Identifiers

PMID25945926
OpenAlexW1573926077

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.