Evidence map›Paper›PMID 26668390›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

The point of no return in vetoing self-initiated movements.

Matthias Schultze-Kraft, Daniel Birman, Marco Rusconi, Carsten Allefeld, Kai Görgen, Sven Dähne, Benjamin Blankertz, John-Dylan Haynes

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

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  13. Rapid, systematic updating of movement by accumulated decision evidence.bioRxiv : the preprint server for biology · 2024
    Article
  14. Review
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Matthias Schultze-KraftBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Neurotechnology Group, Technische Universität Berlin, 10587 Berlin, Germany; Bernstein Focus: Neurotechnology, Technische Universität Berlin, 10587 Berlin, Germany; haynes@bccn-berlin.de schultze-kraft@tu-berlin.de.
Daniel BirmanBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;
Marco RusconiBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;
Carsten AllefeldBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;
Kai GörgenBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;
Sven DähneMachine Leaning Group, Technische Universität Berlin, 10587 Berlin, Germany;
Benjamin BlankertzBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Neurotechnology Group, Technische Universität Berlin, 10587 Berlin, Germany; Bernstein Focus: Neurotechnology, Technische Universität Berlin, 10587 Berlin, Germany;
John-Dylan HaynesBernstein Center for Computational Neuroscience, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Bernstein Focus: Neurotechnology, Technische Universität Berlin, 10587 Berlin, Germany; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Cluster of Excellence NeuroCure, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany; Department of Psychology, Humboldt Universität zu Berlin, 12489 Berlin, Germany; Clinic of Neurology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany haynes@bccn-berlin.de schultze-kraft@tu-berlin.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In humans, spontaneous movements are often preceded by early brain signals. One such signal is the readiness potential (RP) that gradually arises within the last second preceding a movement. An important question is whether people are able to cancel movements after the elicitation of such RPs, and if so until which point in time. Here, subjects played a game where they tried to press a button to earn points in a challenge with a brain-computer interface (BCI) that had been trained to detect their RPs in real time and to emit stop signals. Our data suggest that subjects can still veto a movement even after the onset of the RP. Cancellation of movements was possible if stop signals occurred earlier than 200 ms before movement onset, thus constituting a point of no return.

Indexed as

MovementAdultBrain-Computer InterfacesContingent Negative VariationElectroencephalographyElectromyographyFemaleHumansMalebrain–computer interfacefree choicepoint of no returnreadiness potentialveto

Identifiers

PMID26668390
PMCPMC4743787

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.