Evidence map›Paper›PMID 41608081›Full record

ArticleNeuroscience of consciousness2026

The sense of agency in near and far space: where do we stand?

Gaiqing Kong, Marine Vernet, Alessandro Farnè

Abstract read
In one paragraph

Article in Neuroscience of consciousness, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gaiqing KongDepartment of Psychology, School of Sports Medicine, Wuhan Sports University, No. 461 Luoyu Road, Hongshan District, Wuhan, Hubei Province 430079, China.ORCID https://orcid.org/0000-0002-3142-3730
Marine VernetImpact Team, Lyon Neuroscience Research Centre (CRNL), INSERM 1028 - CNRS UMR5292, University Claude Bernard Lyon 1, 16 Av. du Doyen Jean Lépine, 69500 Bron, France.ORCID https://orcid.org/0000-0001-7331-3567
Alessandro FarnèImpact Team, Lyon Neuroscience Research Centre (CRNL), INSERM 1028 - CNRS UMR5292, University Claude Bernard Lyon 1, 16 Av. du Doyen Jean Lépine, 69500 Bron, France.ORCID https://orcid.org/0000-0001-5769-3491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern technology frequently places the consequences of our actions at a distance (e.g. remote surgery, smart-home control, virtual reality). Does spatial distance between an action and its outcome weaken the sense of agency (SoA) - the feeling of control over one's actions and consequences? Two recent studies, by Jenkins and Obhi and Mariano et al., answered "yes," reporting stronger temporal binding (TB) in near than far space and interpreting this as greater implicit agency. A third study - our own work with a similar paradigm - found no distance effect. Here we (i) provide a rigorous side-by-side methodological comparison of the three studies, (ii) argue why a direct test to establish a distance modulation of TB (the Near - Far difference of the Active - Passive delta) should be performed in order to reach meaningful conclusions, and (iii) report new reanalyses of our data and direct tests on the two target studies. Overall, current evidence does not support a distance effect on SoA. Our reassessment provides alternative explanations that converge with available evidence suggesting that distance may influence temporal interval perception, but that effect is independent of action intention and therefore of agency.

Indexed as

action awarenessexplicit agencysense of agencyspatial distancespatial proximitytemporal bindingtemporal interval estimation

Identifiers

PMID41608081
PMCPMC12840585

What OpenQuestion holds

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LicenceCC BY
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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.